get_mca {factoextra} | R Documentation |
Extract all the results (coordinates, squared cosine and
contributions) for the active individuals/variable categories from Multiple
Correspondence Analysis (MCA) outputs.
get_mca(): Extract the results for variables and individuals
get_mca_ind(): Extract the results for individuals only
get_mca_var(): Extract the results for variables only
get_mca(res.mca, element = c("var", "ind", "mca.cor", "quanti.sup")) get_mca_var(res.mca, element = c("var", "mca.cor", "quanti.sup")) get_mca_ind(res.mca)
res.mca |
an object of class MCA [FactoMineR], acm [ade4], expoOutput/epMCA [ExPosition]. |
element |
the element to subset from the output. Possible values are "var" for variables, "ind" for individuals, "mca.cor" for correlation between variables and principal dimensions, "quanti.sup" for quantitative supplementary variables. |
a list of matrices containing the results for the active individuals/variable categories including :
coord |
coordinates for the individuals/variable categories |
cos2 |
cos2 for the individuals/variable categories |
contrib |
contributions of the individuals/variable categories |
inertia |
inertia of the individuals/variable categories |
Alboukadel Kassambara alboukadel.kassambara@gmail.com
http://www.sthda.com/english/
# Multiple Correspondence Analysis # ++++++++++++++++++++++++++++++ # Install and load FactoMineR to compute MCA # install.packages("FactoMineR") library("FactoMineR") data(poison) poison.active <- poison[1:55, 5:15] head(poison.active[, 1:6]) res.mca <- MCA(poison.active, graph=FALSE) # Extract the results for variable categories var <- get_mca_var(res.mca) print(var) head(var$coord) # coordinates of variables head(var$cos2) # cos2 of variables head(var$contrib) # contributions of variables # Extract the results for individuals ind <- get_mca_ind(res.mca) print(ind) head(ind$coord) # coordinates of individuals head(ind$cos2) # cos2 of individuals head(ind$contrib) # contributions of individuals # You can also use the function get_mca() get_mca(res.mca, "ind") # Results for individuals get_mca(res.mca, "var") # Results for variable categories