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

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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].

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

Author(s)

Alboukadel Kassambara alboukadel.kassambara@gmail.com

References

http://www.sthda.com

Examples

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# 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
 

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