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I have a dataset with 100 columns and 4 groups.

I want to apply compareGroups function to have descriptive and inferential statistics for my data.

However; compareGroups function is taking a formula as follows: compareGroups(Grouping variable~variable1+variable2..and so on). what would be the code to use compareGroups for the whole 100 columns without specifying name of each and every column in my dataset?

Thanks in advance

Ahmed Ramadan
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1 Answers1

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Try:

compareGroups(Grouping variable ~ ., data = dataframe)

The . refers to all other ("explanatory") variables.

Please note that compareGroups performs a univariate analysis with the dataframe between group (“response” variable) and all other variables (“explanatory” variables).

For more information see the compareGroups vignette.

Captain Hat
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user16949460
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  • Can one define a group on the fly? For instance if there are 35 group variables but you want to reduce it to binary. For example, does this work, `compareGroups(groupvariable == "ASRI" ~., data = dataframe)` – Farrel Nov 15 '22 at 04:01