One option is:
> head(f)
A B C D E
1 0.75135094 -0.06779700 -0.2617316 -0.3701998 0.7332249
2 -0.85657366 0.27442139 -0.4291410 0.1107827 0.6942490
3 1.16125212 -0.18631979 -0.3918744 0.4804644 0.9374566
4 0.32100928 0.03773391 -0.8712896 -0.5236532 0.9064957
5 -0.24852361 -1.24139700 -0.4990958 -1.6720261 -0.8791833
6 0.00582175 -0.28361208 -0.4450383 -0.4248984 -0.7066752
> head(e)
A B C D E
1 -2.4420422 -0.380338676 0.2330927 -1.2107826 -1.90697224
2 -0.6070602 -0.304334094 1.0082733 2.0308774 -0.30244449
3 0.8933633 1.883316570 -0.4431651 0.5203559 -2.57122258
4 -0.5415851 0.370019811 -1.7851152 0.4373462 -0.92199391
5 -0.7092424 0.003823628 -0.4314738 0.5156975 -0.19511293
6 -1.4816483 0.187447079 -1.0240595 0.1666378 -0.06966855
lapply(names(e), function(x)eval(bquote(t.test(e[.(x)], f[.(x)]))))
On 03/03/2008, Martin Kaffanke <[EMAIL PROTECTED]> wrote:
> Hi there!
>
> I'd like to make many tests and plots, for each variables.
>
> i.E.
>
> i <- 1
> repeat {
> print (t.test(e[i], f[i]))
> i <- i + 1
> if (i == 21) break
> }
>
> but the output is:
> Welch Two Sample t-test
>
> data: e[i] and f[i]
> ...
>
> so I don't know which data was calculated.
>
> Is there a way to tell the t.test or I'll make the same with plotmeans
> (from the gplots library) but I'd like to have it like
>
> t.text(e$angststoer, f$angststoer)
>
> so I know what was calculated or plotted...
>
> Any ideas?
>
> Thanks,
> Martin
>
>
>
> --
> Ihr Partner für Webdesign, Webapplikationen und Webspace.
> http://www.roomandspace.com/
> Martin Kaffanke +43 650 4514224
>
> ______________________________________________
> R-help@r-project.org mailing list
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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.
>
>
>
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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