How to plot the 2nd and 3rd principle component after using prcomp

Question

How to plot the second and third principal components after using prcomp?

More variance is explained by the second and third principal components on my variables of greatest interest.

Here is the code I'm using for the first and second:

res.pca <- prcomp(data3, scale = TRUE)
fviz_eig(res.pca)

fviz_pca_ind(res.pca,
             col.ind = "cos2", # Color by the quality of representation
             gradient.cols = c("#00AFBB", "#E7B800", "#FC4E07"),
             repel = TRUE     # Avoid text overlapping
)

It's easier to help you if you include a simple [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with sample input and desired output that can be used to test and verify possible solutions. List all non-base R packages you are using. — MrFlick, Mar 04 '21 at 20:31

score 2 · Accepted Answer · answered Mar 04 '21 at 21:06

You could use the axes argument to select the dimensions you want to display:

library(FactoMineR)
library(factoextra)

pca <- PCA(iris[,1:4])

fviz_pca_ind(pca,
             col.ind = "cos2", # Color by the quality of representation
             gradient.cols = c("#00AFBB", "#E7B800", "#FC4E07"),
             repel = TRUE,     # Avoid text overlapping
             axes = c(2, 3)
)

How to plot the 2nd and 3rd principle component after using prcomp

1 Answers1