get_pca {factoextra} R Documentation

## Extract the results for individuals/variables - PCA

### Description

Extract all the results (coordinates, squared cosine, contributions) for the active individuals/variables from Principal Component Analysis (PCA) outputs.

• get_pca(): Extract the results for variables and individuals

• get_pca_ind(): Extract the results for individuals only

• get_pca_var(): Extract the results for variables only

### Usage

get_pca(res.pca, element = c("var", "ind"))

get_pca_ind(res.pca, ...)

get_pca_var(res.pca)


### Arguments

 res.pca an object of class PCA [FactoMineR]; prcomp and princomp [stats]; pca, dudi [adea4]; epPCA [ExPosition]. element the element to subset from the output. Allowed values are "var" (for active variables) or "ind" (for active individuals). ... not used

### Value

a list of matrices containing all the results for the active individuals/variables including:

 coord coordinates for the individuals/variables cos2 cos2 for the individuals/variables contrib contributions of the individuals/variables

### References

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

### Examples


# Principal Component Analysis
# +++++++++++++++++++++++++++++
data(iris)
res.pca <- prcomp(iris[, -5],  scale = TRUE)
# Extract the results for individuals
ind <- get_pca_ind(res.pca)
print(ind)
head(ind$coord) # coordinates of individuals head(ind$cos2) # cos2 of individuals
head(ind$contrib) # contributions of individuals # Extract the results for variables var <- get_pca_var(res.pca) print(var) head(var$coord) # coordinates of variables
head(var$cos2) # cos2 of variables head(var$contrib) # contributions of variables

# You can also use the function get_pca()
get_pca(res.pca, "ind") # Results for individuals
get_pca(res.pca, "var") # Results for variable categories



[Package factoextra version 1.0.7 Index]