PCA before mapstd or vise versa for classification?

I have data. I want to use PCA and also normalize it. What I did first was use mapstd then PCA. But I got some weird numbers. Should I mapstd it again? Or should I have waited to mapstd it in the first place?

Answer 1

[the cyclist]

If you want to normalize your data before doing PCA, you want to mapstd before (and only before) PCA. I'm going to guess at the error you may have made.

To normalize the data for PCA, you probably want to normalize the columns. The mapstd function normalizes the rows. Did you take that into account? You probably want

normed_data = mapstd(data')'

[Nisreen Jaradat]

I did actually. :/ The numbers wound up becoming really variant after PCA. Like, from -3 to +7 for one variable.