aluation)
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; Honorary Research Fellow
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>
> --- On Thu, 3/6/10, S Ellison wrote:
>
>> From: S Ellison
>> Subject: R
mpria...@manchester.ac.uk
--- On Thu, 3/6/10, S Ellison wrote:
> From: S Ellison
> Subject: Re: [R] ordinal variables
> To: "Joris Meys" , "Iasonas Lamprianou"
>
> Cc: r-help@r-project.org
> Date: Thursday, 3 June, 2010, 15:44
> If you set them a proble
h Fellow
Department of Education
The University of Manchester
Oxford Road, Manchester M13 9PL, UK
Tel. 0044 161 275 3485
iasonas.lampria...@manchester.ac.uk
--- On Thu, 3/6/10, Joris Meys wrote:
From: Joris Meys
Subject: Re: [R] ordinal variables
To: "Iasonas Lamprianou"
Cc: r-help
3485
iasonas.lampria...@manchester.ac.uk
--- On Thu, 3/6/10, Joris Meys wrote:
From: Joris Meys
Subject: Re: [R] ordinal variables
To: "Iasonas Lamprianou"
Cc: r-help@r-project.org
Date: Thursday, 3 June, 2010, 14:35
see ?factor and ?as.factor. On ordered factors you can technically
see ?factor and ?as.factor. On ordered factors you can technically do a
spearman without problem, apart from the fact that a spearman test by
definition cannot give exact p-values with ties present.
x <- sample(c("a","b","c","d","e"),100,replace=T)
y <- sample(c("a","b","c","d","e"),100,replace=T)
Dear colleagues,
I teach statistics using SPSS. I want to use R instead. I hit on one problem
and I need some quick advice. When I want to work with ordinal variables, in
SPSS I can compute the median or create a barchart or compute a spearman
correlation with no problems. In R, if I "read" the
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