Convert a "loadings" object to a dataframe (R)

user_10240826 0
Viewed 1399

I am trying to convert an object of type "loadings" to a dataframe in R. However, my attempts to coerce it via as_tibble() or as.data.frame() have not worked. Here is the code:

iris_pca <- prcomp(iris[1:4], center = TRUE, scale. = TRUE)
iris_pca$rotation[,1:2] %>% 
  varimax() %>% 
  .$loadings

This prints out:

Loadings:
             PC1    PC2   
Sepal.Length  0.596 -0.243
Sepal.Width         -0.961
Petal.Length  0.570  0.114
Petal.Width   0.565       

                PC1  PC2
SS loadings    1.00 1.00
Proportion Var 0.25 0.25
Cumulative Var 0.25 0.50

How can I get this data into a dataframe?

tibble pca dataframe r
1 Answers

From the "loadings" object extract the values as numeric. Coerce them into a matrix. Needed dimensions and names you will find within str(l).

data.frame(matrix(as.numeric(l), attributes(l)$dim, dimnames=attributes(l)$dimnames))
#                      PC1         PC2
# Sepal.Length  0.59593180 -0.24252635
# Sepal.Width  -0.04181096 -0.96087188
# Petal.Length  0.56955777  0.11438157
# Petal.Width   0.56455387  0.06944826

Data

iris_pca <- prcomp(iris[1:4], center=TRUE, scale.=TRUE)
l <- varimax(iris_pca$rotation[, 1:2])$loadings
user_65740380
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