View source: R/plot_pca_gradient_fill_missingGrey90.R
plot_pca_gradient_fill_missingGrey90 | R Documentation |
Plots PCA from scores file (output of PCA_from_file)
plot_pca_gradient_fill_missingGrey90(
file,
info.name,
info.type,
info.color,
title = "",
labels = TRUE,
PCx = "PC1",
PCy = "PC2",
ellipse = F,
conf = 0.95,
density = F,
fliph = F,
flipv = F
)
file |
File containing scores matrix |
info.name |
Vector of sample names |
info.type |
Vector of sample types in the same order |
info.color |
Vector to be used for gradient fill of plot points, with sample types in the same order |
title |
Title of the plot |
labels |
default=T |
PCx , PCy |
PCs to display |
ellipse |
Construct confidence region based on groups in info.type, default = T |
conf |
default = 0.95 |
density |
plot x-y density plots |
fliph , flipv |
flip plot hoirzontally or vertically |
plot_pca_gradient_fill differs from plot_pca in that it uses gradient-based coloring of points
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