Displaying 5 results from an estimated 5 matches for "helter".
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2009 Sep 07
2
calling combinations of variable names
R-2.9.1, Windows7
Dear list,
I have a question to you that seems very simple to me, but I just can't
figure it out.
I have a dataframe called "ratings" which contains the following
variables: evalR1, evalR2, evalR3, evalR4, scoreR1, scoreR2, scoreR3,
scoreR4, opinionR1, opinionR2, opinionR3, opinionR4. (there are more
variables, but this gives an idea of the data structure).
What
2009 Sep 08
0
Re : calling combinations of variable names
...ste, and Sebed for your answers.
The solutions work well. I have been putting them to good use today: the
code now works wonderfully and I learnt some useful tricks!
thanks, Peter
<-----Original Message----->
>From: justin bem [justin_bem@yahoo.fr]
>Sent: 9/8/2009 9:06:23 AM
>To: heltertwo@care2.com
>Cc: r-help@stat.math.ethz.ch
>Subject: Re: Re : [R] calling combinations of variable names
>
>may be this can work
>
>testfun<-function(x) {
> rval=""
> k<-length(x)
> for (i in 1: k) rval<-paste(rval,x[i],sep="-")
> rval
>...
2009 Jul 02
2
working with texts
WinXP, R-2.9.1
LS.,
I have been trying to solve a (for me) tricky issue. No matter what I've
tried, I just can't find a way to do this.
This is the issue:
I have a text file (ansi text) "titles.txt" with lines of text; here is
an example of such a file:
>>>>>
a brief history of polio vaccines
anti-vaccination movements and their interpretations
early warning
2007 Jul 02
0
estimating a generalized autocorrelated model
Hi, I want to estimate a model of the following form:
y = a1W1y + X1beta1 + e
e = a2W2e + X2beta2 + nu
with y a vector of proportions or counts and W a matrix of weights.
In other words, autocorrelation occurs for the response variable y and for the disturbance term e. Ideally, at either level multiple W matrices could be included and X1 and X2 could be (partly) different (or X2 could be
2010 Jun 16
1
shrout & fleiss ICC´s with varying numbers of judges
Win7, R2.11.0
I am working on a report together with several co-authors. The data
concern several performance measures on a set of groups. These measures
are scored by external judges. We report findings on several datasets,
including several of the 6 ICC's discussed by Shrout & Fleiss (1979). We
determine these using the icc function from the irr package. We have
also used the ICC