Dear all,
I am trying to find the PCs of a spatial data set (single
variable). I want to calculate the PCs at each Lat-Lon location.
The* 'princomp'* command gives the approximate standardized data,
(i.e* pca$scores*), stranded deviation ..etc. I tried*
'pca$loadings'*also, but it giving value 1 all time.
Then I tried manually*(* First calculate correlation matrix
(X*X^T), then arranged it's eigen value in descending order, and chose the
corresponding eigenvectors (Q_j's), then pc=X^(T)* Q_j , it will give a
single value called first PC as j=1 *)*, and found PCs but this value is
different from *'pca$loadings'*.
But I can find the approximate standardized data, (pc1*Q_1)
which is similar to *pca$scores*. But this method is time consuming.
Please help me to tackle this problem.
Thank you for all in advance
--
DILEEPKUMAR. R
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