> -Original Message-
> From: drflxms [mailto:[EMAIL PROTECTED]
> Sent: Saturday, August 23, 2008 6:47 AM
> To: Greg Snow
> Cc: r-help@r-project.org
> Subject: Re: Re: [R] simple generation of artificial data
> with defined features
>
> Hello Mr. Greg Snow!
>
Hello all,
beside saying again thank you for your help, I'd like to present the
final solution of my problem and the results of the kappa-calculation:
> election.2005 <- c(16194,13136,3494,3838,4648,4118)
#data obtained via genesis-database of "Statistisches Bundesamt"
www.destatis.de
#simply cut
Hi Christoph,
perfect! Your code worked out of the box (copy and paste ;-). I had
expected at least some lines of code, but this is really easy!
So once you get used to command line, this is much more flexible (and
comfortable!) than all these coloured windows. Can't tell you how happy
I am, that
Hello Mr. Greg Snow!
Thank you very much for your prompt answer.
> I don't think that the election data is the right data to demonstrate Kappa,
> you need subjects that are classified by 2 or more different raters/methods.
> The election data could be considered classifying the voters into whic
Hi,
to add voter.id and election.year to your data frame you could try:
el.dt.exp$voter.id=seq(1:nrow(el.dt.exp))
el.dt.exp$election.year=2005
Cheers,
Christoph Meyer
***
Dr. Christoph Meyer
Institute of Experimental Ecology
Univers
onding frequencies to yield the expanded dataset that conforms with
> the original table.
>
>
>> bw.dt.exp <- bw.dt[rep(1:nrow(bw.dt), bw.dt$Freq), -ncol(bw.dt)]
>> dim(bw.dt.exp)
>>
> [1] 200 2
>
>> table(bw.dt.exp)
>>
> Var2
&g
The above approach is not restricted to 2x2 tables, and should be
straightforward generate datasets that conform to arbitrary nxm frequency
tables.
-Christos Hatzis
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Greg Snow
> Sent: Fri
I don't think that the election data is the right data to demonstrate Kappa,
you need subjects that are classified by 2 or more different raters/methods.
The election data could be considered classifying the voters into which party
they voted for, but you only have 1 rater. Maybe if you had so
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