Displaying 1 result from an estimated 1 matches for "test_pca_q".
2011 Jul 29
1
Limited number of principal components in PCA
...ng 'prcomp'
(stats package). My data (referred to as 'Q' in the code below) are
separate river streamflow gaging stations (columns) and peak instantaneous
discharge (rows). I am attempting to use PCA to identify regions of that
vary together.
I am entering the following command:
test_pca_Q<-prcomp(~.,data=Q,scale.=TRUE,retx=FALSE,na.action=na.omit)
It is outputting 54 'standard deviation' numbers (which are the
sqrt(eigenvalues) in respect to a certain PC, am I correct?), and 54
'rotation' numbers, which are the variable loadings with respect to a given
PC.
I hav...