get_mfa {factoextra} | R Documentation |
Extract all the results (coordinates, squared cosine and contributions)
for the active individuals/quantitative variables/qualitative variable categories/groups/partial axes from Multiple Factor Analysis (MFA) outputs.
get_mfa(): Extract the results for variables and individuals
get_mfa_ind(): Extract the results for individuals only
get_mfa_var(): Extract the results for variables (quantitatives, qualitatives and groups)
get_mfa_partial_axes(): Extract the results for partial axes only
get_mfa( res.mfa, element = c("ind", "quanti.var", "quali.var", "group", "partial.axes") ) get_mfa_ind(res.mfa) get_mfa_var(res.mfa, element = c("quanti.var", "quali.var", "group")) get_mfa_partial_axes(res.mfa)
res.mfa |
an object of class MFA [FactoMineR]. |
element |
the element to subset from the output. Possible values are "ind", "quanti.var", "quali.var", "group" or "partial.axes". |
a list of matrices containing the results for the active individuals/quantitative variable categories/qualitative variable categories/groups/partial axes including :
coord |
coordinates for the individuals/quantitative variable categories/qualitative variable categories/groups/partial axes |
cos2 |
cos2 for the individuals/quantitative variable categories/qualitative variable categories/groups/partial axes |
contrib |
contributions of the individuals/quantitative variable categories/qualitative variable categories/groups/partial axes |
inertia |
inertia of the individuals/quantitative variable categories/qualitative variable categories/groups/partial axes |
Alboukadel Kassambara alboukadel.kassambara@gmail.com
Fabian Mundt f.mundt@inventionate.de
# Multiple Factor Analysis # ++++++++++++++++++++++++ # Install and load FactoMineR to compute MFA # install.packages("FactoMineR") library("FactoMineR") data(poison) res.mfa <- MFA(poison, group=c(2,2,5,6), type=c("s","n","n","n"), name.group=c("desc","desc2","symptom","eat"), num.group.sup=1:2, graph = FALSE) # Extract the results for qualitative variable categories var <- get_mfa_var(res.mfa, "quali.var") print(var) head(var$coord) # coordinates of qualitative variables head(var$cos2) # cos2 of qualitative variables head(var$contrib) # contributions of qualitative variables # Extract the results for individuals ind <- get_mfa_ind(res.mfa) print(ind) head(ind$coord) # coordinates of individuals head(ind$cos2) # cos2 of individuals head(ind$contrib) # contributions of individuals # You can also use the function get_mfa() get_mfa(res.mfa, "ind") # Results for individuals get_mfa(res.mfa, "quali.var") # Results for qualitative variable categories