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

[lindsay hanford]

Hi Peter,

I thought it was possible to have multiple subjects in each group, while
still specifying another factor, as is the case for repeated measures
ANOVA. If this is not the case, I guess I should look into Regression
models for count data as suggested by Micheal.


On Mon, Apr 13, 2015 at 1:13 PM, peter dalgaard <pdalgd at gmail.com> wrote:

> 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]]
> >>
> >> ______________________________________________
> >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> 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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> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
> --
> 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
>
>
>
>
>
>
>
>
>


-- 
Lindsay Hanford, BSc, PhD Candidate
McMaster Integrative Neuroscience Discovery & Study | *Department of
Psychology, Neuroscience & Behaviour *
McMaster University *|* 1280 Main Street West, PC329 Psychology Building *|*
 Hamilton, ON, L8S 4L8
905 525 9140 x24784 *|* lindsay.hanford at gmail.com

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