Is there any way to remove the sample IDs from a ggbiplot and instead add dots which represent each sample? I am using the script below, but have more data in my PCA and the IDs are currently making everything look messy, and dots or circles would therefore be of preference.
A similar question was posted before, where the advice was to replace geom_text() with geom_point() in a ggplot2, but there is not code for geom text in this ggbiplot script.
Is there any way of doing this in a ggbiplot using this script?
library(ggbiplot)
library(datasets)
head(mtcars)
mtcars.pca <- prcomp(mtcars[,c(1:7,10,11)], center = TRUE,scale. = TRUE)
summary(mtcars.pca)
str(mtcars.pca)
ggbiplot(mtcars.pca)
ggbiplot(mtcars.pca, labels=rownames(mtcars))
mtcars.country <- c(rep("Japan", 3), rep("US",4), rep("Europe", 7),rep("US",3), "Europe", rep("Japan", 3), rep("US",4), rep("Europe", 3), "US", rep("Europe", 3))
ggbiplot(mtcars.pca,ellipse=TRUE, labels=rownames(mtcars), groups=mtcars.country)
ggbiplot(mtcars.pca,ellipse=TRUE,choices=c(3,4), labels=rownames(mtcars), groups=mtcars.country)
ggbiplot(mtcars.pca,ellipse=TRUE,obs.scale = 1, var.scale = 1, labels=rownames(mtcars), groups=mtcars.country)
ggbiplot(mtcars.pca,ellipse=TRUE,obs.scale = 1, var.scale = 1,var.axes=FALSE, labels=rownames(mtcars), groups=mtcars.country)
ggbiplot(mtcars.pca,ellipse=TRUE,obs.scale = 1, var.scale = 1, labels=rownames(mtcars), groups=mtcars.country) +
scale_colour_manual(name="Origin", values= c("forest green", "dark red", "navy blue"))+
ggtitle("PCA of mtcars dataset")+
theme_classic()+
theme(legend.position = "bottom")