I have a set of 100 variables and aim to reduce my data dimension for further subsequent analyses. There are about 300 observations.
Upon prcomp()
in R (with retx= TRUE
), my PC1's loadings (abs) are all below 0.20. And, most other PCs' loadings (abs) are also in the range of 0.01-0.30.
How would you do in this situation?
Thank you.
Please make sure you scale the data before PCA. If you don't then the loadings can get skewed. Set the
scale
variable in prcomp to 'TRUE'.