See -reshape-.
However, I am not entirely convinced you want to run a non-par test. What is the nature of the non-normality? Most non-par tests lose the original scale of the variable, which isn't nice. Also they are badly affected by ties. The paired t test might still be good, so long as you don't have marked skew.
JV
-----Original Message-----
From: "Rico Baumann" <[email protected]>
To: [email protected]
Sent: 1/29/2009 8:41 PM
Subject: st: Wilcoxon Matched-Pairs Signed-ranks Test also for groups?
Hi,
I have data with a binary variable (0 and 1) that splits my data set into two matched groups (one group of original observations and one control group), therefore the samples are not independent.
group1 0 varname1 ...
group2 1 varname1 ...
Since some of the contained variables are not normally distributed I´d like to use a non-parametric test in order to test for the median difference of some variables between the two dependent groups.
The above mentioned signrank -- Equality tests on matched data seems to be the correct test, but unfortunately the syntax doesn´t allow the option by(groupvar), like e.g. ttest or ranksum do.
signrank varname = exp [if] [in]
Is there any (advanced) solution for that, or do I have to rearrange the data in a spreadsheet outside Stata?
Thanks for help and best,
Rico
--
Beste Grüße
Rico Baumann
email: [email protected]
cell: +49 (0)172 532 25 58
phone: +49 (0)211 239 40 500
efax: +49 (0)3212 - 1077734
address: Vinckestraße 5, 40470 Düsseldorf,
Deutschland / Germany
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
