How do I include subscripts with fviz_pca_var labels?

July 4, 2023

I have a PCA that I’m visualizing with fviz_pca_var and I want to include subscripts for some of my variables. How do I get these to display properly?

Also, is there any easier way to flip the y-axis so the values are inverted? (I still want -1 to be on the left).

df <- structure(list(`P[1]` = c(-0.9, -1, -1.1, -1.2, -1.28, -1.35, -1.41, -1.45, -1.47, -1.47, -1.45, -1.41, -1.35, -1.27, -1.17, -1.06, -0.93, -0.79, -0.64, -0.49, -0.33, -0.17, -0.01, 0.14, 
                                0.29, 0.44, 0.57, 0.68, 0.78, 0.86, 0.92, 0.97, 1, 1.02, 1.03, 1.03, 1.02, 1.02, 1.01, 1, 1, 0.99, 0.98, 0.96, 0.94, 0.92, 0.89, 0.86, 0.82, 0.79, 0.75), 
                     `Z[2]` = c(0.56, 0.5, 0.44, 0.38, 0.32, 
                                0.27, 0.22, 0.19, 0.18, 0.18, 0.22, 0.27, 0.36, 0.47, 0.6, 0.74, 0.88, 1.02, 1.15, 1.25, 1.32, 1.35, 1.33, 1.25, 1.11, 0.91, 0.67, 0.38, 0.06, -0.27, -0.61, -0.93, -1.22, -1.46, -1.66, -1.79, 
                                -1.86, -1.87, -1.82, -1.72, -1.56, -1.37, -1.14, -0.89, -0.62, -0.34, -0.06, 0.23, 0.51, 0.8, 1.08), 
                     `C3[1]` = c(-0.16, -0.14, -0.12, -0.1, -0.25, -0.53, -0.29, -0.83, -0.69, -0.06, -0.98, 
                                 -0.53, -0.8, 1.17, 0.64, 0.09, 0.61, 1.97, 0.84, 1.85, -0.98, -0.67, -0.82, -1, -0.47, -1.01, -0.79, -0.97, -1.33, -1.48, -1.59, -1.71, -1.8, -1.88, -1.94, -2.09, -1.96, -1.96, -1.95, -1.97, 
                                 -1.88, -1.82, -1.63, -1.52, -1.54, -1.4, -1.42, -1.29, -1.19, -0.83, -0.69), 
                     `C3[2]` = c(0.77, 0.79, 0.81, 0.82, 0.79, 0.71, 0.78, 0.63, 0.67, 0.86, 0.59, -0.34, 0.65, 1.23, 1.53, 1.7, 0.99, 
                                 2.07, 1.71, 3.01, -0.53, -0.53, 0.54, 0.43, 0.52, -0.59, 0.25, 0.1, -0.5, -0.57, -0.54, -0.57, -0.55, -0.55, -0.56, -0.83, -0.46, -0.46, -0.46, -0.61, -0.49, -0.51, -0.2, -0.13, -0.39, -0.26, 
                                 -0.54, -0.44, -0.44, 0.22, 0.34)), 
                row.names = c(NA, -51L), class = c("tbl_df", "tbl", "data.frame"))
pca <- princomp(df, scores = TRUE)
fviz_pca_var(pca, title = "", repel = TRUE, ggtheme = theme_bw()) +
  scale_x_reverse() +
  scale_y_continuous(limits = c(-0.2, 0.6))

>Solution :

You just need to add the parse = TRUE argument to the fviz_pca_var function.

fviz_pca_var(pca,
             title = "", 
             repel = TRUE, 
             #This is the only change I made 
             parse = T,
             ggtheme = theme_bw()) 
# Rest of your code