I'm getting the following error message for trying to do a (basic) plot of a PCA using ggplot2:
Error in plot_label(p = p, data = plot.data, label = label, label.label = label.label, : Unsupported class: princomp
The plot works in R's own biplot function biplot(prin_comp)
so I'm not sure if I've got something wrong in how I'm asking ggplot to do this or if it is a problem with the PCA output that makes it unsuitable for ggplot. I can't post data (confidentiality issues) but it is quite a big data set and I could post the PCA output if that would help?
EDIT: Here is an example using mtcars dataset, which has same results:
library("ggbiplot")
data(mtcars)
View(mtcars)
pca <- princomp(mtcars, scale=1)
princomp(x = mtcars, scale = 1)
Standard deviations:
Comp.1 Comp.2 Comp.3 Comp.4 Comp.5 Comp.6
134.3827868 37.5472829 3.0226511 1.2860724 0.8922099 0.6530910
Comp.7 Comp.8 Comp.9 Comp.10 Comp.11
0.3037193 0.2814568 0.2467490 0.2073344 0.1952988
11 variables and 32 observations.
ggbiplot(pca)
Error in plot_label(p = p, data = plot.data, label = label, label.label = label.label, : Unsupported class: princomp
Again, that works in base R's biplot function. I am looking to get the following kind of output (not the plot shown in answer below), hence using biplot rather than autoplot, apologies if this was not obvious: biplot mtcars
Can't find similar error on googling or search on here but happy to be linked to if anyone else can find it.