Doing data analysis on .sav file - how to combine sub-items into the main variable name

General
1

Hello,

Before analyzing my dataset (.sav file), I want to "extract" (meaning to view or use) specific variables which are relevant for my analysis. However, the main Variable (e. g. Well) shows as sub-variables (e. g. Well1, Well2, Well3...). Therefore, when using the combine function (ie. c) for "Well" and "Good" (as an example for my relevant variables that I wish to analyse), I don't get any results as R does not know that "Well" consists of items "Well1, Well2, Well3 etc). My question, how do I get the values for one variable 'Well" (consisting of the sub items Well1, Well2, Well3...)? Do I need to create the final score for "Well" of this instrument first before being able to do the descriptive Statistics for "Well" (and the other variables that are of interest to me)? If so, what's the best way to do that? Also, how do deal with demographic data? Thanks so much.

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It is hard to suggest anything without some idea of what the actual structure of the data looks like.

I assume that it that you have successfully read the data into an R data.frame or tibble. If so can you supply us with some sample data.?

The best way to supply data is to use the dput() function. Do dput(mydata) where "mydata" is the name of your dataset. For really large datasets probably dput(head(mydata, 100) is sufficient. Copy the output and paste it here between

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This gives us an exact copy of your data.

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