Hi all, I have a file of average SWE observations for 40 years at over 4,000 points and am attempting to do a spatiotemporal analysis of the data using PCA, much like this paper did using snow depth: http://journals.ametsoc.org/doi/pdf/10.1175/1520-0442%281998%29011%3C0856%3ATCIRWS%3E2.0.CO%3B2
I have followed the code in the link below by my loadings are far too small (For example, the paper listed above had loading above 0.5 and below -0.5 while my loadings for PC1 go between 0.02 and -0.03). https://stackoverflow.com/questions/41022927/principal-component-analysis-pca-of-time-series-data-spatial-and-temporal-pat I have standardized the data in the prcomp function so that a correlation matrix is used in my study, just like the paper above. Does anyone have any idea why my loadings might be so off and any suggestions regarding the PCA functions in R to help solve this problem? Thanks in advance, Dan -- *Daniel J. Vecellio* *Ph.D. Student - Climate Science Lab, **Department of Geography, **Texas A&M University* [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
