Anderson-Darling normality test on all columns of a dataframe

Asked Jul 16 '18 at 19:14

Active Jan 26 '23 at 14:03

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I want to apply Anderson-Darling normality test to all columns on a big data frame in R.

To apply the test on one columns, I'm using:

library(nortest)
ad.test(df$col1)

I tried the following to apply it to every single column, but it didn't work:

ad.test(df)  
*Error in [.data.frame(x, complete.cases(x)) :    undefined columns selected*

normality_check = lapply(df,ad.test) 
*Error in if (AA < 0.2) { : missing value where TRUE/FALSE needed*

Any suggestions on how to do this?

edited Jul 17 '18 at 07:33

ekstroem

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asked Jul 16 '18 at 19:14

Bayram Sarilmaz

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`lapply(df, ad.test)` should work, unless your `df` contains columns for which the test produces "missing values" error. – Artem Sokolov Jul 16 '18 at 19:29
Thanks.....you are right. I filtered the columns and it worked. – Bayram Sarilmaz Jul 17 '18 at 14:03

Anderson-Darling normality test on all columns of a dataframe

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