I've been playing around with various table tools, trying to construct a
fairly simple cross-tab. It shouldn't be hard, but for some reason it
turning out to be (for me).
If I want to see how many men and how many women agree with a agree/disagree
question (coded 1,0), I can do this:
>attach(mydata)
>mytable <- table(male, q1.bin) # gender and a binary response variable
>prop.table(mytable, 1) # row percentages
q1.bin
male 0 1
0 0.3988 0.6012
1 0.2879 0.7121
I can repeat that for each of the items I want gender breakdowns for (q2,
q3, q4 ....). But what I really want is a table that shows the percentage
answering yes (coded as 1) across many, many binary response items. E.g.,
male q1.bin q2.bin q3.bin ...
0 0.6012 0.3421 0.9871 ...
1 0.7121 0.6223 0.0198 ...
I've tried various combinations of apply & cbind, but to no avail. It would
be easy in SPSS crosstabs, but darnit, I want to use R!
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