pca {M3C} | R Documentation |
pca: A principal component analysis function
pca(mydata, K = FALSE, printres = FALSE, labels = FALSE, text = FALSE, axistextsize = 30, legendtextsize = 30, dotsize = 6, textlabelsize = 4)
mydata |
Data frame or matrix or M3C results object: if dataframe/matrix should have samples as columns and rows as features |
K |
Numerical value: if running on the M3C results object, which value was the optimal K? |
printres |
Logical flag: whether to print the PCA into current directory |
labels |
Character vector: if we want to just label with gender for example |
text |
Character vector: if we wanted to label the samples with text IDs to look for outliers |
axistextsize |
Numerical value: axis text size |
legendtextsize |
Numerical value: legend text size |
dotsize |
Numerical value: dot size |
textlabelsize |
Numerical value: text inside plot label size |
A PCA plot object
PCA <- pca(mydata)