[R] friedman.test error: not an unreplicated complete block design

[peter dalgaard]

By coincidence, there actually _is_ enough info to pinpoint the issue:


*Subj  Group Emotion Response*94    HR    Happy  2
119   HC   Happy 0
....
3   HR   Sad   4
61 HC   Sad   2
64  HC  Sad   0
....etc

An unreplicated complete block design has exactly 1 observation for each combination of the two grouping factors. The above clearly has 2 observations with "HC, Sad". So Friedman's test does not apply.


> On 13 Apr 2015, at 18:27 , John Kane <jrkrideau at inbox.com> wrote:
> 
> We really need " commented, minimal, self-contained, reproducible code' as asked for in the note at the end of each R-help message.
> 
> Have a look at http://adv-r.had.co.nz/Reproducibility.html and/or http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example  for some hints.
> 
> In particular, in your case we almost certainly need some data.  Please use dput() to produce a useable data set. See Hakley's discussion at http://adv-r.had.co.nz/Reproducibility.html for an example of how to to this.
> John Kane
> Kingston ON Canada
> 
> 
>> -----Original Message-----
>> From: lindsay.hanford at gmail.com
>> Sent: Mon, 13 Apr 2015 12:17:32 -0400
>> To: r-help at r-project.org
>> Subject: [R] friedman.test error: not an unreplicated complete block
>> design
>> 
>> Hello R Community,
>> 
>> I am using the friedman.test() function to test differences in a
>> non-normally
>> distributed dataset, with a dependent variable that either a
>> continuous variable or a ratio and has 2+ groups.
>> 
>> I am using the friedman.test instead of a repeated measures ANOVA because
>> my dataset violated the assumptions for using an ANOVA. I am looking to
>> compare response means on an emotion-labelling task, between groups (HR,
>> HC) and emotions (Happy, Sad, Angry, Fearful) where these variables are
>> my
>> group and block variables, respectively.
>> 
>> When I use the following command:
>>> friedman.test(Response~Group|Emotion, data=dataset)
>> I get the following error:
>> Error in friedman.test.default(c(1L, 1L, 0L, 0L, 0L, 1L, 0L, 2L, 0L, 0L,
>> :
>>  not an unreplicated complete block design
>> 
>> I believe I have set up my dataset correctly.. where Subject ID is
>> repeated for
>> the four categories of emotion. The variable Error contains the number of
>> incorrect response corresponding to each emotion.
>> 
>> 
>> *Subj  Group Emotion Response*94    HR    Happy  2
>> 119   HC   Happy 0
>> ....
>> 3   HR   Sad   4
>> 61 HC   Sad   2
>> 64  HC  Sad   0
>> ....etc
>> 
>> I think the error c(1L, 1L, 0L, 0L, 0L, 1L, 0L, 2L, 0L, 0L,... )
>> corresponds
>> to my Response variable and might not be happy about is the number of 0's
>> that
>> appear in that variable. However, this is the reason my dataset is not
>> normally
>> distributed and I cannot use rmANOVA.
>> 
>> Any ideas how to deal with this error? Or whether I should be using a
>> different statistical test?
>> Thanks,
>> 
>> Lindsay
>> --
>> Lindsay Hanford, BSc, PhD Candidate
>> McMaster Integrative Neuroscience Discovery & Study | *Department of
>> Psychology, Neuroscience & Behaviour *
>> McMaster University *|* lindsay.hanford at gmail.com
>> 
>> 	[[alternative HTML version deleted]]
>> 
>> ______________________________________________
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>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> 
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> ______________________________________________
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-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com