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ggfacto draws readable, interactive graphs of the
principal component, correspondence and multiple correspondence analyses
of FactoMineR. Hover over a
point, and the graph shows the crosstables behind it, each deviation
from the mean coloured: the geometry is always read against the data it
summarises. The graphs are ggplot objects, to be extended
with +.
The three analyses share one workflow: the analysis,
interpret() for its axes, ggfacto() for its
graph, and hierarchical_clust() for its clusters.
install.packages("ggfacto")
library(ggfacto)
data(tea, package = "FactoMineR")
mca <- multiple_correspondence_analysis(tea, 1:18)
interpret(mca)
ggfacto(mca, tea, sup_vars = c(sex, SPC), interactive = TRUE)See the website, with the interactive graphs: https://bricenocenti.github.io/ggfacto/, and its guide, in English or en français.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.