PCA.GENES {NOISeq} | R Documentation |
Computes a Principal Component Analysis on any data matrix.
PCA.GENES(X)
X |
Matrix or data.frame with variables (e.g. genes) in columns and observations (e.g. samples) in rows. |
Maria Jose Nueda
## Simulate data matrix with 500 variables and 10 observations datasim = matrix(sample(0:100, 5000, replace = TRUE), nrow = 10) ## PCA myPCA = PCA.GENES(datasim) ## Extracting the variance explained by each principal component myPCA$var.exp