Displaying 1 result from an estimated 1 matches for "data_after_pca".
2011 Dec 10
3
PCA on high dimentional data
Hi:
I have a large dataset mydata, of 1000 rows and 1000 columns. The rows
have gene names and columns have condition names (cond1, cond2, cond3,
etc).
mydata<- read.table(file="c:/file1.mtx", header=TRUE, sep="")
I applied PCA as follows:
data_after_pca<- prcomp(mydata, retx=TRUE, center=TRUE, scale.=TRUE);
Now i get 1000 PCs and i choose first three PCs and make a new data frame
new_data_frame<- cbind(data_after_pca$x[,1], data_after_pca$x[,2],
data_after_pca$x[,3]);
After the PCA, in the new_data_frame, i loose the previous cond1,
cond2...