PCA rotation is missing the PC1 column

Alexis

I am trying to do PCA on the classic Iris dataset. Here is my code:

library(tidyverse)

x <- iris[,1:4] %>% as.matrix()
pca <- prcomp(x, scale. = TRUE)
summary(pca)

Component rotation has each value of Petal.Length, Petal.Width, etc. So I tried the following:

as.data.frame(pca$rotation) %>% pivot_longer(-1, names_to = "components", values_to = "value")

I know there must be a bug, since this is a matrix, and it's being ignored pca$rotationsomehow . The expected result should be:PC1

terms          value component 
   <chr>          <dbl> <chr>   
 1 Sepal.Length  0.521  PC1     
 2 Sepal.Width  -0.269  PC1    
 3 Petal.Length  0.580  PC1    
 4 Petal.Width   0.565  PC1    
 5 Sepal.Length -0.377  PC2    
 6 Sepal.Width  -0.923  PC2     
 7 Petal.Length -0.0245 PC2      
 8 Petal.Width  -0.0669 PC2      
 9 Sepal.Length  0.720  PC3      
10 Sepal.Width  -0.244  PC3      
11 Petal.Length -0.142  PC3      
12 Petal.Width  -0.634  PC3    
13 Sepal.Length  0.261  PC4     
14 Sepal.Width  -0.124  PC4    
15 Petal.Length -0.801  PC4      
16 Petal.Width   0.524  PC4
Ben Bock

Your -1specification of the variable to include is left out of the first column (you may have misread the row name, which the tidyverse mechanism usually ignores as the first column). How

pca$rotation %>%
    as.data.frame() %>%
    rownames_to_column("term") %>%
    as_tibble() %>%    ## cosmetic
    pivot_longer(starts_with("PC"), 
                 names_to = "components", 
                 values_to = "value")

？

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