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Re: st: Cross Tabulation with more than 2 variables
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: Cross Tabulation with more than 2 variables
Date
Mon, 22 Aug 2011 12:55:20 +0100
FAQ . . . . . . . . . . . . . . . . . . . Dealing with multiple responses
. . . . . . . . . . . . . . . . . . . . . . . N. J. Cox and U. Kohler
4/05 How do I deal with multiple responses?
http://www.stata.com/support/faqs/data/multresp.html
SJ-5-1 st0082 . . . . . . . . . . . . . . . Tabulation of multiple responses
(help _mrsvmat, mrgraph, mrtab if installed) . . . . . . . . B. Jann
Q1/05 SJ 5(1):92--122
introduces new commands for the computation of one- and
two-way tables of multiple responses
SJ-3-1 pr0008 Speaking Stata: On structure & shape: the case of mult. resp.
. . . . . . . . . . . . . . . . . . . . . . . . N. J. Cox & U. Kohler
Q1/03 SJ 3(1):81--99 (no commands)
discussion of data manipulations for multiple response data
Nick
On Mon, Aug 22, 2011 at 11:56 AM, Christoph Engel <[email protected]> wrote:
> Maybe I just have not found the right command, or the right keyword. But
> since I frequently encountered the problem, I hope someone might point me to
> a convenient solution. I want to do cross tabulation for more than 2
> variables.
>
> This time, I have summary data about papers that I cannot include in a
> meta-study. There is a list of 10 reasons why I had to exclude them. Some
> papers are excluded for more than one reason. I have dummy coded these
> reasons. I therefore have a dataset of the following form
>
> r1 r2 r3 ... r10
>
> study1 0 1 0 ... 0
> study2 1 0 1 0
> study3 0 0 1 1
>
> I want to generate a table that looks like this
>
> r1 r2 r3 ... r10
> r1 5 0 2 0
> r2 2 4 0 0
> ...
>
> I thus want to say, how often a study had to be excluded for reason 1 alone,
> or because it simultaneously suffered from reason 1 and reason 10 (or any
> other reason).
>
> Is there a good way to do this? In principle, corr needs this information,
> but you do not get sums. tab2 provides the information, but does not collect
> it in one table.
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