Thanks, I got it! (And I think I should have googled what replicated
means!) However, then Bortz, Lienert, Boehnke are imprecise, if not
wrong: Der Friedman-Test setzt voraus, dass die N Individuen
wechselseitig unabhängig sind, dass also nicht etwa ein und dasselbe
Individuum zweimal oder
-bounces@r-
project.org] On Behalf Of saschav...@gmail.com
Sent: Montag, 20. Februar 2012 09:59
To: peter dalgaard
Cc: r-help@r-project.org
Subject: Re: [R] Non-parametric test for repeated measures and post-hoc
single comparisons in R?
Thanks, I got it! (And I think I should have googled what
Some attribute x from 17 individuals was recorded repeatedly on 6 time
points using a Likert scale with 7 distractors. Which statistical
test(s) can I apply to check whether the changes along the 6 time points
were significant?
set.seed( 123 )
x - matrix( sample( 1:7, 17*6, repl=T ),
nrow =
On 19.02.12 19:31, Tal Galili wrote:
The following post would not answer your question at full, but might give
some good code/information:
http://www.r-statistics.com/2010/02/post-hoc-analysis-for-friedmans-test-r-code/
Thank you, Tal! As you already mentioned, your interesting post supports
The following post would not answer your question at full, but might give
some good code/information:
http://www.r-statistics.com/2010/02/post-hoc-analysis-for-friedmans-test-r-code/
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Repeated measures means that you have multiple measurements on the same
individual. Usually, the same person measured at different time points. So if
you have N individuals and T times, then you can place your observations in an
N*T layout.
In this layout, you can have 1 observation per cell
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