get_mca {factoextra} R Documentation

## Extract the results for individuals/variables - MCA

### Description

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

### Usage

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)


### Arguments

 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.

### Value

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

### References

http://www.sthda.com/english/

### Examples


# Multiple Correspondence Analysis
# ++++++++++++++++++++++++++++++
# Install and load FactoMineR to compute MCA
# install.packages("FactoMineR")
library("FactoMineR")
data(poison)
poison.active <- poison[1:55, 5:15]
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



[Package factoextra version 1.0.7 Index]