CODEWITHSUNDEEP
rpcaimputation
Mireille Farjo
Mireille Farjo

Reputation: 29

Unable to impute missing values in my PCA

I have a character matrix for some different plant species, in which most species are missing data for at least a few characters. I want to do a principal components analysis, so I tried to impute the missing values, but when I try to do that I get the error message: 

Error in eigen(crossprod(X, X), symmetric = TRUE) : infinite or missing values in 'x'

I thought having missing values was kind of the point! Does anyone know what I'm doing wrong?

Upvotes: 2

Views: 904

Answers (2)

Vu Mai Anh
Vu Mai Anh

Reputation: 1

I have the same issues when I try to impute dataset digits with missing values. One reason that could lead to the above Error is that you have features with 0 standard deviations (because their values are the same). Check this discussion: https://community.rstudio.com/t/problem-with-missmda/90809/7

Upvotes: 0

Husson
Husson

Reputation: 141

You should use the function imputePCA available in the package missMDA.

For more information: http://factominer.free.fr/missMDA/index.html

Best

Francois

Upvotes: 3

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