plot_prcomp {CytoGLMM} | R Documentation |
Plot PCA of subsampled data using ggplot
plot_prcomp( df_samples, protein_names, color_var = "treatment", subsample_size = 10000, repel = TRUE )
df_samples |
Data frame or tibble with proteins counts, cell condition, and group information |
protein_names |
A vector of column names of protein to use in the analysis |
color_var |
A column name |
subsample_size |
Subsample per color_var variable |
repel |
Repel labels |
cowplot
object
set.seed(23) df <- generate_data() protein_names <- names(df)[3:12] df <- dplyr::mutate_at(df, protein_names, function(x) asinh(x/5)) CytoGLMM::plot_prcomp(df, protein_names = protein_names, color_var = "condition")