## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(fcaR) ## ----------------------------------------------------------------------------- fc <- FormalContext$new(planets) fc$find_concepts() stab <- fc$concepts$stability() head(stab) ## ----------------------------------------------------------------------------- sep <- fc$concepts$separation() head(sep) ## ----------------------------------------------------------------------------- # For binary data, density is always 1 (or 0 for empty concepts) # We need to pass the original matrix I dens <- fc$concepts$density(I = fc$incidence()) head(dens) ## ----------------------------------------------------------------------------- df <- data.frame( Concept = 1:fc$concepts$size(), Support = fc$concepts$support(), Stability = stab, Separation = sep, Density = dens ) # Concepts with high stability and separation subset(df, Stability > 0.8 & Separation > 0)