| Title: | Creating Echarts Visualizations as Easy as Possible |
| Version: | 1.0.0 |
| Date: | 2024-01-19 |
| Author: | Adrian Antico [aut, cre, cph] |
| Maintainer: | Adrian Antico <adrianantico@gmail.com> |
| Description: | Create beautiful and interactive visualizations in a single function call. The 'data.table' package is utilized to perform the data wrangling necessary to prepare your data for the plot types you wish to build, along with allowing fast processing for big data. There are two broad classes of plots available: standard plots and machine learning evaluation plots. There are lots of parameters available in each plot type function for customizing the plots (such as faceting) and data wrangling (such as variable transformations and aggregation). |
| License: | AGPL (≥ 3) |
| URL: | https://github.com/AdrianAntico/AutoPlots |
| BugReports: | https://github.com/AdrianAntico/AutoPlots/issues |
| Depends: | R (≥ 4.1.0) |
| Imports: | combinat, data.table, dplyr, e1071, echarts4r, lubridate, nortest, quanteda, quanteda.textstats, scales, stats, utils |
| Contact: | Adrian Antico |
| Encoding: | UTF-8 |
| Language: | en-US |
| NeedsCompilation: | no |
| Packaged: | 2024-01-22 16:19:16 UTC; Bizon |
| RoxygenNote: | 7.2.3 |
| Suggests: | spelling |
| Repository: | CRAN |
| Date/Publication: | 2024-01-23 13:13:00 UTC |
FakeDataGenerator
Description
Create fake data for examples
Usage
FakeDataGenerator(
Correlation = 0.7,
N = 1000L,
ID = 5L,
FactorCount = 2L,
AddDate = TRUE,
AddComment = FALSE,
AddWeightsColumn = FALSE,
ZIP = 5L,
ChainLadderData = FALSE,
Classification = FALSE,
MultiClass = FALSE
)
Arguments
Correlation |
Set the correlation value for simulated data |
N |
Number of records |
ID |
Number of IDcols to include |
FactorCount |
Number of factor type columns to create |
AddDate |
Set to TRUE to include a date column |
AddComment |
Set to TRUE to add a comment column |
AddWeightsColumn |
Add a weights column for ML |
ZIP |
Zero Inflation Model target variable creation. Select from 0 to 5 to create that number of distinctly distributed data, stratifed from small to large |
ChainLadderData |
Set to TRUE to return Chain Ladder Data for using AutoMLChainLadderTrainer |
Classification |
Set to TRUE to build classification data |
MultiClass |
Set to TRUE to build MultiClass data |
Value
data.table of data
Author(s)
Adrian Antico
Plot.ACF
Description
Build an autocorrelation plot by simply passing arguments to a single function
Usage
Plot.ACF(
dt = NULL,
YVar = NULL,
DateVar = NULL,
TimeUnit = NULL,
MaxLags = 50,
YVarTrans = "Identity",
AggMethod = "sum",
Height = NULL,
Width = NULL,
Title = "Autocorrelation Plot",
EchartsTheme = "macarons",
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
YVar |
Y-Axis variable name |
DateVar |
Date column in data |
TimeUnit |
Select from "hour", "day", "week", "month", "quarter", "year" |
MaxLags |
Max lag values to test |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
Height |
"400px" |
Width |
"200px" |
Title |
title |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TextColor |
'darkblue' |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Plot.Area
Description
This function automatically builds calibration plots and calibration boxplots for model evaluation using regression, quantile regression, and binary and multinomial classification
Usage
Plot.Area(
dt = NULL,
AggMethod = "mean",
PreAgg = TRUE,
XVar = NULL,
YVar = NULL,
DualYVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
DualYVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = "Line Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
Alpha = 0.5,
Smooth = TRUE,
ShowSymbol = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name. You can supply multiple YVars |
DualYVar |
Secondary Y-Axis variables. Leave NULL for no secondary axis. Only one variable is allowed and when this is set only one YVar is allowed. An error will be thrown if those conditions are not met |
GroupVar |
One Grouping Variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
DualYVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
Title |
"Title" |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
Provide an "Echarts" theme |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
Logical |
Alpha |
0 to 1 for setting transparency |
Smooth |
= TRUE |
ShowSymbol |
= FALSE |
TextColor |
"Not Implemented" |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Area |
logical |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 1000)
# Build plot
AutoPlots::Plot.Area(
dt = data,
PreAgg = FALSE,
AggMethod = "mean",
XVar = "DateTime",
YVar = "Independent_Variable3",
YVarTrans = "Identity",
DualYVar = "Independent_Variable6",
DualYVarTrans = "Identity",
GroupVar = NULL,
EchartsTheme = "macarons")
Plot.Bar
Description
Build a bar plot by simply passing arguments to a single function
Usage
Plot.Bar(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
LabelValues = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Bar Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Column name of Group Variable for distinct colored histograms by group levels |
LabelValues |
A vector of values. Requires PreAgg to be set to TRUE and you'll need to ensure LabelValues are ordered the same as dt. If NULL and ShowLabels is TRUE, then bar values will be displayed |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
Height |
"400px" |
Width |
"200px" |
Title |
title |
ShowLabels |
logical |
Title.YAxis |
NULL. If NULL, YVar name will be used |
Title.XAxis |
NULL. If NULL, XVar name will be used |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
'darkblue' |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
# Echarts Bar Chart
AutoPlots::Plot.Bar(
dt = data,
PreAgg = FALSE,
XVar = "Factor_1",
YVar = "Adrian",
GroupVar = NULL,
LabelValues = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = 'mean',
Height = NULL,
Width = NULL,
Title = 'Bar Plot',
ShowLabels = FALSE,
Title.YAxis = "Adrian",
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plot.BarPlot3D
Description
Build a 3D Bar Plot
Usage
Plot.BarPlot3D(
dt,
PreAgg = FALSE,
AggMethod = "mean",
XVar = NULL,
YVar = NULL,
ZVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
NumLevels_Y = 33,
NumLevels_X = 33,
Height = NULL,
Width = NULL,
Title = "3D Bar Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "dark",
MouseScroll = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
zaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical. Is your data pre aggregated |
AggMethod |
'mean', 'median', 'sum', 'sd', 'coeffvar', 'count' |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
Z-Axis variable name |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
= 21 |
NumLevels_Y |
= 20 |
NumLevels_X |
= 20 |
Height |
"400px" |
Width |
"200px" |
Title |
"Heatmap" |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"dark-blue" |
MouseScroll |
logical, zoom via mouse scroll |
TextColor |
character |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
zaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
# Echarts 3D Bar Chart
AutoPlots::Plot.BarPlot3D(
dt = data,
PreAgg = FALSE,
AggMethod = 'mean',
XVar = "Factor_1",
YVar = "Factor_2",
ZVar = "Adrian",
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
NumLevels_Y = 33,
NumLevels_X = 33,
Height = NULL,
Width = NULL,
Title = "3D Bar Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
zaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plot.BinaryMetrics
Description
Line plot of evaluation metrics across thresholds
Usage
Plot.BinaryMetrics(
dt = NULL,
PreAgg = FALSE,
AggMethod = "mean",
SampleSize = 100000L,
XVar = NULL,
YVar = NULL,
ZVar = NULL,
Metrics = c("Utility", "MCC", "Accuracy", "F1_Score", "F2_Score", "F0.5_Score",
"ThreatScore", "TPR", "TNR", "FNR", "FPR", "FDR", "FOR"),
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
CostMatrixWeights = c(0, 1, 1, 0),
NumberBins = 20,
Height = NULL,
Width = NULL,
Title = "Binary Metrics",
MouseScroll = TRUE,
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
EchartsLabels = FALSE,
TimeLine = TRUE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
AggMethod |
character |
SampleSize |
numeric |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
character |
Metrics |
Multiple selection "Utility","MCC","Accuracy","F1_Score","F2_Score","F0.5_Score","ThreatScore","TPR","TNR","FNR","FPR","FDR","FOR" |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
CostMatrixWeights |
vector length 4. FP, FP, FN, TP |
NumberBins |
numeric |
Height |
"400px" |
Width |
"200px" |
Title |
character |
MouseScroll |
logical, zoom via mouse scroll |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
EchartsLabels |
character |
TimeLine |
logical |
TextColor |
hex character |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.Box
Description
Build a box plot by simply passing arguments to a single function. It will sample your data using SampleSize number of rows. Sampled data is randomized.
Usage
Plot.Box(
dt = NULL,
SampleSize = 100000L,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = "Box Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
numeric |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
Logical |
TextColor |
character hex |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
dt <- data.table::data.table(Y = qnorm(p = runif(10000)), GV = sample(LETTERS, 1000, TRUE))
AutoPlots::Plot.Box(
dt = dt,
SampleSize = 100000L,
XVar = "GV",
YVar = "Y",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = 'Box Plot',
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plot.Calibration.Box
Description
This function automatically builds calibration plots and calibration boxplots for model evaluation using regression, quantile regression, and binary and multinomial classification
Usage
Plot.Calibration.Box(
dt = NULL,
SampleSize = 100000L,
AggMethod = "mean",
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
Height = NULL,
Width = NULL,
Title = "Calibration Box",
MouseScroll = TRUE,
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = FALSE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
numeric |
AggMethod |
character |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
numeric |
Height |
"400px" |
Width |
"200px" |
Title |
character |
MouseScroll |
logical, zoom via mouse scroll |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
TextColor |
"Not Implemented" |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.Calibration.Line
Description
This function automatically builds calibration plots and calibration boxplots for model evaluation using regression, quantile regression, and binary and multinomial classification
Usage
Plot.Calibration.Line(
dt = NULL,
AggMethod = "mean",
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
Height = NULL,
Width = NULL,
Title = "Calibration Line",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = FALSE,
MouseScroll = TRUE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
numeric |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
MouseScroll |
logical, zoom via mouse scroll |
TextColor |
"Not Implemented" |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.ConfusionMatrix
Description
Generate variable importance plots
Usage
Plot.ConfusionMatrix(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
ZVar = "N",
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
NumLevels_X = 50,
NumLevels_Y = 50,
Height = NULL,
Width = NULL,
Title = "Confusion Matrix",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
AggMethod = "count",
GroupVar = NULL,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
FALSE |
XVar |
Column name of X-Axis variable. If NULL then ignored |
YVar |
Column name of Y-Axis variable. If NULL then ignored |
ZVar |
= "N" |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
= 21, |
NumLevels_X |
= NumLevels_Y, |
NumLevels_Y |
= NumLevels_X, |
Height |
"400px" |
Width |
"200px" |
Title |
title |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
'darkblue' |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
GroupVar |
= NULL |
xaxis.rotate |
numeric |
yaxis.rotate |
numeric |
ContainLabel |
logical |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.Copula
Description
Build a copula plot by simply passing arguments to a single function. It will sample your data using SampleSize number of rows. Sampled data is randomized.
Usage
Plot.Copula(
dt = NULL,
SampleSize = 30000L,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = "Copula Plot",
ShowLabels = FALSE,
AddGLM = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "white",
yaxis.fontSize = 14,
xaxis.fontSize = 14,
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
An integer for the number of rows to use. Sampled data is randomized. If NULL then ignored |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Requires an XVar and YVar already be defined |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
Title |
'Copula Plot' |
ShowLabels |
character |
AddGLM |
logical |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
= "dark-blue", |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
Logical |
TextColor |
'darkblue' |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
# Echarts Copula Plot Chart
AutoPlots::Plot.Copula(
dt = data,
SampleSize = 10000,
XVar = "Independent_Variable8",
YVar = "Adrian",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = 'Copula Plot',
ShowLabels = FALSE,
AddGLM = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "black",
yaxis.fontSize = 14,
xaxis.fontSize = 14,
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plot.Copula3D
Description
Build a 3D-copula plot by simply passing arguments to a single function. It will sample your data using SampleSize number of rows. Sampled data is randomized.
Usage
Plot.Copula3D(
dt = NULL,
SampleSize = 1e+05,
XVar = NULL,
YVar = NULL,
ZVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
GroupVar = NULL,
Height = NULL,
Width = NULL,
Title = "Copula 3D",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "dark-blue",
TimeLine = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
zaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
zaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
An integer for the number of rows to use. Sampled data is randomized. If NULL then ignored |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
Z-Axis variable name |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
GroupVar |
Requires an XVar and YVar already be defined |
Height |
"400px" |
Width |
"200px" |
Title |
'Copula3D Plot' |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
= "dark-blue" |
TimeLine |
Logical |
TextColor |
'darkblue' |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
zaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
zaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
data[, Independent_Variable9 := Independent_Variable9 * runif(.N)]
# Echarts Copula Plot Chart
AutoPlots::Plot.Copula3D(
dt = data,
SampleSize = 10000,
XVar = "Adrian",
YVar = "Independent_Variable9",
ZVar = "Independent_Variable6",
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
GroupVar = NULL,
Height = NULL,
Width = NULL,
Title = 'Copula 3D',
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = FALSE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
zaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
zaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plot.CorrMatrix
Description
Build a correlation matrix plot by simply passing arguments to a single function. It will sample your data using SampleSize number of rows. Sampled data is randomized.
Usage
Plot.CorrMatrix(
dt = NULL,
CorrVars = NULL,
CorrVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Method = "spearman",
PreAgg = FALSE,
MaxNAPercent = 0.05,
Height = NULL,
Width = NULL,
Title = "Correlation Matrix",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
CorrVars |
vector of variable names |
CorrVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Method |
character |
PreAgg |
logical |
MaxNAPercent |
numeric |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TextColor |
character hex |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
# Echarts CorrMatrix Plot Chart
AutoPlots::Plot.CorrMatrix(
dt = data,
CorrVars = c(
"Adrian",
"Independent_Variable1",
"Independent_Variable2",
"Independent_Variable3",
"Independent_Variable4",
"Independent_Variable5"),
CorrVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Method = 'pearson',
PreAgg = FALSE,
MaxNAPercent = 0.05,
Height = NULL,
Width = NULL,
Title = "Correlation Matrix",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
Debug = FALSE)
Plot.Density
Description
Density plots, by groups, with transparent continuous plots
Usage
Plot.Density(
dt = NULL,
SampleSize = 100000L,
YVar = NULL,
XVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
MouseScroll = TRUE,
Title = "Density Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
= 100000L |
YVar |
Y-Axis variable name |
XVar |
X-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
MouseScroll |
logical, zoom via mouse scroll |
Title |
= "Density Plot" |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
TextColor |
"white" |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
dt <- data.table::data.table(Y = qnorm(p = runif(10000)))
# Create plot
AutoPlots::Plot.Density(
dt = dt,
SampleSize = 30000L,
XVar = NULL,
YVar = "Y",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
EchartsTheme = "macarons",
Title = "Histogram",
MouseScroll = TRUE,
TimeLine = FALSE,
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE)
Plot.Donut
Description
Build a donut plot by simply passing arguments to a single function
Usage
Plot.Donut(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Donut Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Column name of Group Variable for distinct colored histograms by group levels |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
Height |
"400px" |
Width |
"200px" |
Title |
title |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo","essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired","jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal","sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
TextColor |
'darkblue' |
title.fontSize |
Defaults to size 22. Numeric. This changes the size of the title. |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
dt <- data.table::data.table(Y = qnorm(p = runif(10000)), GV = sample(LETTERS, 1000, TRUE))
# Create plot
AutoPlots::Plot.Donut(
dt = dt,
PreAgg = FALSE,
XVar = "GV",
YVar = "Y",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = 'mean',
Height = NULL,
Width = NULL,
Title = 'Pie Chart',
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE)
Plot.Gains
Description
Create a cumulative gains chart
Usage
Plot.Gains(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
ZVar = "N",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 20,
Height = NULL,
Width = NULL,
Title = "Gains Plot",
ShowLabels = FALSE,
Title.YAxis = "Gain",
Title.XAxis = "Population",
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
character |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
numeric |
Height |
NULL |
Width |
NULL |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
character hex |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.HeatMap
Description
Create heat maps with numeric or categorical dt
Usage
Plot.HeatMap(
dt,
PreAgg = FALSE,
AggMethod = "mean",
XVar = NULL,
YVar = NULL,
ZVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
NumLevels_Y = 33,
NumLevels_X = 33,
Height = NULL,
Width = NULL,
Title = "Heatmap",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "dark",
MouseScroll = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
AggMethod |
'mean', 'median', 'sum', 'sd', 'coeffvar', 'count' |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
Z-Axis variable name |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
= 21 |
NumLevels_Y |
= 20 |
NumLevels_X |
= 20. |
Height |
"400px" |
Width |
"200px" |
Title |
"Heatmap" |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"dark-blue" |
MouseScroll |
logical, zoom via mouse scroll |
TextColor |
color |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging parameter |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
# Echarts Heatmap Plot Chart
AutoPlots::Plot.HeatMap(
dt = data,
PreAgg = FALSE,
XVar = "Factor_1",
YVar = "Factor_2",
ZVar = "Independent_Variable6",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
NumLevels_Y = 33,
NumLevels_X = 33,
Height = NULL,
Width = NULL,
Title = "Heatmap",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plot.Histogram
Description
Build a histogram plot by simply passing arguments to a single function. It will sample your data using SampleSize number of rows. Sampled data is randomized.
Usage
Plot.Histogram(
dt = NULL,
SampleSize = 30000L,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 30,
Height = NULL,
Width = NULL,
EchartsTheme = "macarons",
Title = "Histogram",
MouseScroll = TRUE,
TimeLine = FALSE,
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
An integer for the number of rows to use. Sampled data is randomized. If NULL then ignored |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Column name of Group Variable for distinct colored histograms by group levels |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
= 30 |
Height |
"400px" |
Width |
"200px" |
EchartsTheme |
= EchartsTheme, |
Title |
character |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
ShowLabels |
FALSE |
Title.YAxis |
NULL |
Title.XAxis |
NULL |
TextColor |
"white" |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
dt <- data.table::data.table(Y = qnorm(p = runif(10000)))
# Create plot
AutoPlots::Plot.Histogram(
dt = dt,
SampleSize = 30000L,
XVar = NULL,
YVar = "Y",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 30,
Height = NULL,
Width = NULL,
EchartsTheme = "macarons",
Title = "Histogram",
MouseScroll = TRUE,
TimeLine = FALSE,
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE)
Plot.Lift
Description
Create a cumulative gains chart
Usage
Plot.Lift(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
ZVar = "N",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 20,
Height = NULL,
Width = NULL,
Title = "Confusion Matrix",
ShowLabels = FALSE,
Title.YAxis = "Lift",
Title.XAxis = "Population",
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
character |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
numeric |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
character hex |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.Line
Description
This function automatically builds calibration plots and calibration boxplots for model evaluation using regression, quantile regression, and binary and multinomial classification
Usage
Plot.Line(
dt = NULL,
AggMethod = "mean",
PreAgg = TRUE,
XVar = NULL,
YVar = NULL,
DualYVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
DualYVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = "Line Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
Area = FALSE,
Alpha = 0.5,
Smooth = TRUE,
ShowSymbol = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
DarkMode = FALSE,
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name. You can supply multiple YVars |
DualYVar |
Secondary Y-Axis variables. Leave NULL for no secondary axis. Only one variable is allowed and when this is set only one YVar is allowed. An error will be thrown if those conditions are not met |
GroupVar |
One Grouping Variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
DualYVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
NULL |
Width |
NULL |
Title |
"Title" |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
Provide an "Echarts" theme |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
Logical |
Area |
logical |
Alpha |
0 to 1 for setting transparency |
Smooth |
= TRUE |
ShowSymbol |
= FALSE |
TextColor |
"Not Implemented" |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
DarkMode |
FALSE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 1000)
# Build Line plot
AutoPlots::Plot.Line(
dt = data,
PreAgg = FALSE,
AggMethod = "mean",
XVar = "DateTime",
YVar = "Independent_Variable3",
YVarTrans = "LogPlus1",
DualYVar = "Independent_Variable6",
DualYVarTrans = "LogPlus1",
GroupVar = NULL,
EchartsTheme = "macarons")
Plot.PACF
Description
Build a partial autocorrelation plot by simply passing arguments to a single function
Usage
Plot.PACF(
dt = NULL,
YVar = NULL,
DateVar = NULL,
TimeUnit = NULL,
MaxLags = 50,
YVarTrans = "Identity",
AggMethod = "sum",
Height = NULL,
Width = NULL,
Title = "Partial Autocorrelation Plot",
EchartsTheme = "macarons",
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
YVar |
Y-Axis variable name |
DateVar |
Date column in data |
TimeUnit |
Select from "hour", "day", "week", "month", "quarter", "year" |
MaxLags |
Max value for lags to test |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
Height |
"400px" |
Width |
"200px" |
Title |
title |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TextColor |
'darkblue' |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Plot.Parallel
Description
Build a parallel plot by simply passing arguments to a single function. It will sample your data using SampleSize number of rows. Sampled data is randomized.
Usage
Plot.Parallel(
dt = NULL,
SampleSize = 50000,
CorrVars = NULL,
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
PreAgg = FALSE,
Height = NULL,
Width = NULL,
Title = "Parallel Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
Sample size |
CorrVars |
vector of variable names |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
PreAgg |
logical |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TextColor |
character hex |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create data
dt = AutoPlots::FakeDataGenerator(N = 100000)
# Create plot
AutoPlots::Plot.Parallel(
dt = dt,
SampleSize = 1000,
CorrVars = c("Independent_Variable3",
"Independent_Variable4",
"Independent_Variable5",
"Independent_Variable6",
"Independent_Variable7"),
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
PreAgg = FALSE,
Height = NULL,
Width = NULL,
Title = "Parallel Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
Debug = FALSE)
Plot.PartialDependence.Box
Description
This function automatically builds partial dependence calibration plots
Usage
Plot.PartialDependence.Box(
dt = NULL,
PreAgg = FALSE,
SampleSize = 100000L,
XVar = NULL,
YVar = NULL,
ZVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 20,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Partial Dependence Box",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
EchartsLabels = FALSE,
TimeLine = TRUE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
SampleSize |
numeric |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
character |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
numeric |
AggMethod |
character |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
EchartsLabels |
character |
TimeLine |
logical |
TextColor |
hex character |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.PartialDependence.HeatMap
Description
This function automatically builds partial dependence calibration plots
Usage
Plot.PartialDependence.HeatMap(
dt = NULL,
XVar = NULL,
YVar = NULL,
ZVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Partial Dependence Heatmap",
ShowLabels = FALSE,
MouseScroll = TRUE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
EchartsLabels = FALSE,
TimeLine = TRUE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
character |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
numeric |
AggMethod |
character |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
MouseScroll |
logical, zoom via mouse scroll |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
EchartsLabels |
character |
TimeLine |
logical |
TextColor |
hex character |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.PartialDependence.Line
Description
This function automatically builds partial dependence calibration plots
Usage
Plot.PartialDependence.Line(
dt = NULL,
XVar = NULL,
YVar = NULL,
ZVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
GroupVar = NULL,
NumberBins = 20,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Partial Dependence Line",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
EchartsLabels = FALSE,
TimeLine = TRUE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
character |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
GroupVar |
Character variable |
NumberBins |
numeric |
AggMethod |
character |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
EchartsLabels |
character |
TimeLine |
logical |
TextColor |
hex character |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.Pie
Description
Build a pie chart by simply passing arguments to a single function
Usage
Plot.Pie(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Pie Chart",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Column name of Group Variable for distinct colored histograms by group levels |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
Height |
"400px" |
Width |
"200px" |
Title |
title |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo","essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired","jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal","sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
TextColor |
'darkblue' |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
dt <- data.table::data.table(Y = qnorm(p = runif(10000)), GV = sample(LETTERS, 1000, TRUE))
# Create plot
AutoPlots::Plot.Pie(
dt = dt,
PreAgg = FALSE,
XVar = "GV",
YVar = "Y",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = 'mean',
Height = NULL,
Width = NULL,
Title = 'Pie Chart',
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE)
Plot.ProbabilityPlot
Description
Build a normal probability plot
Usage
Plot.ProbabilityPlot(
dt = NULL,
SampleSize = 1000L,
YVar = NULL,
YVarTrans = "Identity",
Height = NULL,
Width = NULL,
Title = "Normal Probability Plot",
ShowLabels = FALSE,
EchartsTheme = "macarons",
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
yaxis.rotate = 0,
ContainLabel = TRUE,
tooltip.trigger = "axis",
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
An integer for the number of rows to use. Sampled data is randomized. If NULL then ignored |
YVar |
Y-Axis variable name |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
Height |
"400px" |
Width |
"200px" |
Title |
'Violin Plot' |
ShowLabels |
character |
EchartsTheme |
"macaron" |
TextColor |
'darkblue' |
title.fontSize |
Default 22 |
title.fontWeight |
Default "bold" |
title.textShadowColor |
Default '#63aeff' |
title.textShadowBlur |
Default 3 |
title.textShadowOffsetY |
Default 1 |
title.textShadowOffsetX |
Default -1 |
yaxis.fontSize |
Default 14 |
yaxis.rotate |
Default 0 |
ContainLabel |
Default TRUE |
tooltip.trigger |
Default "axis" |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
dt <- data.table::data.table(Y = qnorm(p = runif(10000)))
# Create plot
AutoPlots::Plot.ProbabilityPlot(
dt = dt,
SampleSize = 1000L,
YVar = "Y",
YVarTrans = "Identity",
Height = NULL,
Width = NULL,
Title = 'Normal Probability Plot',
ShowLabels = FALSE,
EchartsTheme = "blue",
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
yaxis.rotate = 0,
ContainLabel = TRUE,
tooltip.trigger = "axis",
Debug = FALSE)
Plot.ROC
Description
ROC Plot
Usage
Plot.ROC(
dt = NULL,
SampleSize = 1e+05,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "ROC Plot",
ShowLabels = FALSE,
Title.YAxis = "True Positive Rate",
Title.XAxis = "1 - False Positive Rate",
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
numeric |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
AggMethod |
character |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
character hex |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.Radar
Description
Plot.Radar
Usage
Plot.Radar(
dt = NULL,
AggMethod = "mean",
PreAgg = TRUE,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
Height = NULL,
Width = NULL,
Title = "Radar Plot",
ShowLabels = FALSE,
EchartsTheme = "macarons",
ShowSymbol = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
ContainLabel = TRUE,
DarkMode = FALSE,
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
PreAgg |
logical |
YVar |
Y-Axis variable name. You can supply multiple YVars |
GroupVar |
One Grouping Variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
Height |
"400px" |
Width |
"200px" |
Title |
"Title" |
ShowLabels |
character |
EchartsTheme |
Provide an "Echarts" theme |
ShowSymbol |
= FALSE |
TextColor |
"Not Implemented" |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
ContainLabel |
TRUE |
DarkMode |
FALSE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create Data
dt <- data.table::data.table(Y = pnorm(q = runif(8)), GV = sample(LETTERS[1:4], 8, TRUE))
# Create plot
AutoPlots::Plot.Radar(
dt = dt,
AggMethod = "mean",
PreAgg = FALSE,
YVar = "Y",
GroupVar = "GV",
YVarTrans = "Identity",
Height = NULL,
Width = NULL,
Title = 'Radar Plot',
ShowLabels = FALSE,
EchartsTheme = "macarons",
ShowSymbol = FALSE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
ContainLabel = TRUE,
DarkMode = FALSE,
Debug = FALSE)
Plot.Residuals.Histogram
Description
Residuals Plot
Usage
Plot.Residuals.Histogram(
dt = NULL,
AggMethod = "mean",
SampleSize = 1e+05,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 20,
Height = NULL,
Width = NULL,
Title = "Residuals Histogram",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = "Target - Predicted",
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
SampleSize |
numeric |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
numeric |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
Not Implemented |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Scatter(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.Residuals.Scatter
Description
Residuals_2 Plot
Usage
Plot.Residuals.Scatter(
dt = NULL,
AggMethod = "mean",
SampleSize = 1e+05,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
MouseScroll = TRUE,
Title = "Residual Scatterplot",
ShowLabels = FALSE,
Title.YAxis = "Target - Predicted",
Title.XAxis = "Predicted",
EchartsTheme = "macarons",
TimeLine = FALSE,
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
SampleSize |
numeric |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
MouseScroll |
logical, zoom via mouse scroll |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
TextColor |
"Not Implemented" |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.ShapImportance(),
Plot.VariableImportance()
Plot.River
Description
This function automatically builds calibration plots and calibration boxplots for model evaluation using regression, quantile regression, and binary and multinomial classification
Usage
Plot.River(
dt = NULL,
AggMethod = "mean",
PreAgg = TRUE,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = "River Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
ShowSymbol = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name. You can supply multiple YVars |
GroupVar |
One Grouping Variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
Title |
"Title" |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
Provide an "Echarts" theme |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
Logical |
ShowSymbol |
= FALSE |
TextColor |
"Not Implemented" |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 1000)
# Build plot
AutoPlots::Plot.River(
dt = data,
PreAgg = FALSE,
AggMethod = "mean",
XVar = "DateTime",
YVar = c(
"Independent_Variable1",
"Independent_Variable2",
"Independent_Variable3",
"Independent_Variable4",
"Independent_Variable5"),
YVarTrans = "Identity",
TextColor = "black",
EchartsTheme = "macarons")
Plot.Rosetype
Description
Build a donut plot by simply passing arguments to a single function
Usage
Plot.Rosetype(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Donut Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Column name of Group Variable for distinct colored histograms by group levels |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
Height |
"400px" |
Width |
"200px" |
Title |
title |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo","essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired","jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal","sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
TextColor |
'darkblue' |
title.fontSize |
Defaults to size 22. Numeric. This changes the size of the title. |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
dt <- data.table::data.table(Y = qnorm(p = runif(10000)), GV = sample(LETTERS, 1000, TRUE))
# Create plot
AutoPlots::Plot.Rosetype(
dt = dt,
PreAgg = FALSE,
XVar = "GV",
YVar = "Y",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = 'mean',
Height = NULL,
Width = NULL,
Title = 'Pie Chart',
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE)
Plot.Scatter
Description
Build a copula plot by simply passing arguments to a single function. It will sample your data using SampleSize number of rows. Sampled data is randomized.
Usage
Plot.Scatter(
dt = NULL,
SampleSize = 30000L,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = "Scatter Plot",
ShowLabels = FALSE,
AddGLM = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
tooltip.trigger = "axis",
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
numeric |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
character |
AddGLM |
logical |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
character hex |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
tooltip.trigger |
"axis" |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
data[, Independent_Variable8 := Independent_Variable8 * runif(.N)]
# Echarts Scatter Plot Chart
AutoPlots::Plot.Scatter(
dt = data,
SampleSize = 10000,
XVar = "Independent_Variable10",
YVar = "Independent_Variable8",
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = 'Scatter Plot',
ShowLabels = FALSE,
AddGLM = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "blue",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
tooltip.trigger = "axis",
Debug = FALSE)
Plot.Scatter3D
Description
Build a 3D-copula plot by simply passing arguments to a single function. It will sample your data using SampleSize number of rows. Sampled data is randomized.
Usage
Plot.Scatter3D(
dt = NULL,
SampleSize = 1e+05,
XVar = NULL,
YVar = NULL,
ZVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = "3D Scatter",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
zaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
zaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
SampleSize |
An integer for the number of rows to use. Sampled data is randomized. If NULL then ignored |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
ZVar |
Z-Axis variable name |
GroupVar |
Requires an XVar and YVar already be defined |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
Title |
'Violin Plot' |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
= "macaron" |
TimeLine |
Logical |
TextColor |
'darkblue' |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
zaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
zaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
data[, Independent_Variable9 := Independent_Variable9 * runif(.N)]
# Echarts Copula Plot Chart
AutoPlots::Plot.Scatter3D(
dt = data,
SampleSize = 10000,
XVar = "Adrian",
YVar = "Independent_Variable9",
ZVar = "Independent_Variable6",
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
GroupVar = NULL,
Height = NULL,
Width = NULL,
Title = 'Copula 3D',
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = FALSE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
zaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
zaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plot.ShapImportance
Description
Plot.ShapImportance variable importance
Usage
Plot.ShapImportance(
dt,
PreAgg = FALSE,
AggMethod = "meanabs",
YVar = NULL,
GroupVar = NULL,
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
NumLevels_X = 33,
NumLevels_Y = 33,
Height = NULL,
Width = NULL,
Title = "Shap Importance",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "dark",
TextColor = "white",
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
AggMethod |
"mean", "median", "sum", "sd", "skewness","kurtosis", "coeffvar", "meanabs", "medianabs", "sumabs", "sdabs", "skewnessabs", "kurtosisabs", "CoeffVarabs" |
YVar |
Names of shap columns |
GroupVar |
Name of by variable |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumberBins |
= 21 |
NumLevels_X |
= 20 |
NumLevels_Y |
= 20 |
Height |
"400px" |
Width |
"200px" |
Title |
"Heatmap" |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"dark-blue" |
TextColor |
character |
Debug |
= FALSE |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.VariableImportance()
Plot.StackedBar
Description
Build a stacked bar plot vs a grouped bar plot
Usage
Plot.StackedBar(
dt = NULL,
PreAgg = FALSE,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Stacked Bar",
Title.YAxis = NULL,
Title.XAxis = NULL,
ShowLabels = FALSE,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name |
GroupVar |
Column name of Group Variable for distinct colored histograms by group levels |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
Height |
NULL |
Width |
NULL |
Title |
title |
Title.YAxis |
NULL. If NULL, YVar name will be used |
Title.XAxis |
NULL. If NULL, XVar name will be used |
ShowLabels |
logical |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
logical |
TextColor |
'darkblue' |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
yaxis.fontSize |
14 |
xaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.Step(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 100000)
# Echarts Stacked Bar Chart
AutoPlots::Plot.StackedBar(
dt = data,
PreAgg = FALSE,
XVar = "Factor_1",
YVar = "Adrian",
GroupVar = "Factor_2",
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = 'mean',
Height = NULL,
Width = NULL,
Title = "Stacked Bar",
Title.YAxis = NULL,
Title.XAxis = NULL,
ShowLabels = FALSE,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
yaxis.fontSize = 14,
xaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plot.StandardPlots
Description
Helper for standard plots
Usage
Plot.StandardPlots(
dt = NULL,
PreAgg = FALSE,
PlotType = "Scatter",
SampleSize = 100000L,
AggMethod = "mean",
NumberBins = 30,
YVar = NULL,
DualYVar = NULL,
XVar = NULL,
ZVar = NULL,
GroupVar = NULL,
YVarTrans = NULL,
DualYVarTrans = NULL,
XVarTrans = NULL,
ZVarTrans = NULL,
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
EchartsTheme = "dark-blue",
MouseScroll = FALSE,
TimeLine = FALSE,
Title = NULL,
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
NumLevels_Y = 75,
NumLevels_X = 40,
TextColor = "white",
FontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
PreAgg |
FALSE |
PlotType |
character |
SampleSize |
character |
AggMethod |
character |
NumberBins |
For histograms |
YVar |
Y-Axis variable name |
DualYVar |
Secondary Axis for Line, Step, and Area plots |
XVar |
X-Axis variable name |
ZVar |
Z-Axis variable name |
GroupVar |
Character variable variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
DualYVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
NULL or valid css unit |
Width |
NULL or valid css unit |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
character |
Title |
character |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
NumLevels_Y |
Numeric |
NumLevels_X |
Numeric |
TextColor |
character |
FontSize |
numeric |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Auto Plotting:
Plots.ModelEvaluation()
Plot.Step
Description
This function automatically builds calibration plots and calibration boxplots for model evaluation using regression, quantile regression, and binary and multinomial classification
Usage
Plot.Step(
dt = NULL,
AggMethod = "mean",
PreAgg = TRUE,
XVar = NULL,
YVar = NULL,
DualYVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
DualYVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
Height = NULL,
Width = NULL,
Title = "Line Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = TRUE,
ShowSymbol = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
PreAgg |
logical |
XVar |
X-Axis variable name |
YVar |
Y-Axis variable name. You can supply multiple YVars |
DualYVar |
Secondary Y-Axis variables. Leave NULL for no secondary axis. Only one variable is allowed and when this is set only one YVar is allowed. An error will be thrown if those conditions are not met |
GroupVar |
One Grouping Variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
DualYVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
Height |
"400px" |
Width |
"200px" |
Title |
"Title" |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
Provide an "Echarts" theme |
MouseScroll |
logical, zoom via mouse scroll |
TimeLine |
Logical |
ShowSymbol |
= FALSE |
TextColor |
"Not Implemented" |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.WordCloud()
Examples
# Create fake data
data <- AutoPlots::FakeDataGenerator(N = 1000)
# Build plot
AutoPlots::Plot.Step(
dt = data,
PreAgg = FALSE,
AggMethod = "mean",
XVar = "DateTime",
YVar = "Independent_Variable3",
YVarTrans = "Identity",
DualYVar = "Independent_Variable6",
DualYVarTrans = "Identity",
GroupVar = NULL,
EchartsTheme = "macarons")
Plot.VariableImportance
Description
Generate variable importance plots
Usage
Plot.VariableImportance(
dt = NULL,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Variable Importance Plot",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
Debug = FALSE
)
Arguments
dt |
source data.table |
XVar |
Column name of X-Axis variable. If NULL then ignored |
YVar |
Column name of Y-Axis variable. If NULL then ignored |
GroupVar |
Column name of Group Variable for distinct colored histograms by group levels |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
AggMethod |
Choose from 'mean', 'sum', 'sd', and 'median' |
Height |
"400px" |
Width |
"200px" |
Title |
title |
ShowLabels |
character |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
TextColor |
'darkblue' |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Model Evaluation:
Plot.BinaryMetrics(),
Plot.Calibration.Box(),
Plot.Calibration.Line(),
Plot.ConfusionMatrix(),
Plot.Gains(),
Plot.Lift(),
Plot.PartialDependence.Box(),
Plot.PartialDependence.HeatMap(),
Plot.PartialDependence.Line(),
Plot.ROC(),
Plot.Residuals.Histogram(),
Plot.Residuals.Scatter(),
Plot.ShapImportance()
Plot.WordCloud
Description
WordCloud plots
Usage
Plot.WordCloud(
dt = NULL,
YVar = NULL,
Height = NULL,
Width = NULL,
Title = "Word Cloud",
EchartsTheme = "macarons",
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
Arguments
dt |
source data.table |
YVar |
Y-Axis variable name |
Height |
"400px" |
Width |
"200px" |
Title |
= "Density Plot" |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TextColor |
"white", |
title.fontSize |
22 |
title.fontWeight |
"bold" |
title.textShadowColor |
'#63aeff' |
title.textShadowBlur |
3 |
title.textShadowOffsetY |
1 |
title.textShadowOffsetX |
-1 |
xaxis.fontSize |
14 |
yaxis.fontSize |
14 |
xaxis.rotate |
0 |
yaxis.rotate |
0 |
ContainLabel |
TRUE |
Debug |
Debugging purposes |
Value
plot
See Also
Other Standard Plots:
Plot.ACF(),
Plot.Area(),
Plot.BarPlot3D(),
Plot.Bar(),
Plot.Box(),
Plot.Copula3D(),
Plot.Copula(),
Plot.CorrMatrix(),
Plot.Density(),
Plot.Donut(),
Plot.HeatMap(),
Plot.Histogram(),
Plot.Line(),
Plot.PACF(),
Plot.Parallel(),
Plot.Pie(),
Plot.ProbabilityPlot(),
Plot.Radar(),
Plot.River(),
Plot.Rosetype(),
Plot.Scatter3D(),
Plot.Scatter(),
Plot.StackedBar(),
Plot.Step()
Examples
# Create fake data
dt <- FakeDataGenerator(AddComment = TRUE)
# Create plot
AutoPlots::Plot.WordCloud(
dt = dt,
YVar = "Comment",
Height = NULL,
Width = NULL,
Title = "Word Cloud",
EchartsTheme = "macarons",
TextColor = "black",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = '#63aeff',
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE)
Plots.ModelEvaluation
Description
Plot helper for model evaluation plot types
Usage
Plots.ModelEvaluation(
dt = NULL,
AggMethod = "mean",
SampleSize = 100000L,
PlotType = NULL,
YVar = NULL,
TargetLevel = NULL,
ZVar = NULL,
XVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumLevels_Y = 75,
NumLevels_X = 40,
MouseScroll = FALSE,
Height = NULL,
Width = NULL,
Title = NULL,
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "dark-blue",
TimeLine = FALSE,
TextColor = "white",
FontSize = 14L,
NumberBins = 20,
Debug = FALSE
)
Arguments
dt |
source data.table |
AggMethod |
character |
SampleSize |
100000L |
PlotType |
character |
YVar |
Y-Axis variable name |
TargetLevel |
character |
ZVar |
Z-Axis variable name |
XVar |
X-Axis variable name |
GroupVar |
Character variable |
YVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
XVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
ZVarTrans |
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson" |
FacetRows |
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows |
FacetCols |
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns |
FacetLevels |
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display. |
NumLevels_Y |
= 75 |
NumLevels_X |
= 40 |
MouseScroll |
logical, zoom via mouse scroll |
Height |
"400px" |
Width |
"200px" |
Title |
character |
ShowLabels |
logical |
Title.YAxis |
character |
Title.XAxis |
character |
EchartsTheme |
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland" |
TimeLine |
logical |
TextColor |
hex |
FontSize |
numeric |
NumberBins |
numeric |
Debug |
Debugging purposes |
Value
plot
Author(s)
Adrian Antico
See Also
Other Auto Plotting:
Plot.StandardPlots()