Dear Rui,
Many thanks for help.
"mean for CTK and all" = comparison between mean of all groups ( which
means second col) vs. each groups like CTK100, CTK121 etc.
Regards
Nico
On Thu, Oct 4, 2012 at 12:28 PM, Rui Barradas <ruipbarra...@sapo.pt> wrote:
> Hello,
>
> I'm not quite sure I understand, but something like this?
>
> tapply(dat$Score, dat$Name, FUN = mean)
> sapply(unique(dat$Name), function(un){
> with(dat, t.test(Score[Name == un], Score[Name != un])$p.value)})
>
> My doubt is in what you mean by "mean for CTK and all". The ?t.test gives
> a confidence interval for the difference in the means, so maybe you'll have
> to look there for what you want.
>
> Hope this helps,
>
> Rui Barradas
> Em 04-10-2012 10:34, Nico Met escreveu:
>
>> Dear Group,
>>
>> I want to do a t-test calculation on a large data set.
>>
>> I am pasting some part of it
>>
>> structure(list(Name = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 3L,
>> 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
>> 2L), .Label = c("CTK100", "CTK103", "CTK121"), class = "factor"),
>> Score = c(236.9726, 207.0055, 237.3464, 224.4774, 236.5034,
>> 206.7382, 233.94, 240.31, 240.9, 235.15, 223.36, 248.67,
>> 249.25, 201.4051, 244.1689, 182.2756, 229.001, 241.3211,
>> 196.0453, 232.6055, 225.0783, 196.0453, 232.6055, 225.0783
>> )), .Names = c("Name", "Score"), class = "data.frame", row.names =
>> c(NA,
>> 24L))
>>
>>
>> I want to compare groups with CTK100 and with all the groups and want to
>> save the p-values and mean for each of that particular group (for example:
>> mean for CTK and all)
>> Similarly, for other groups like that CTK121 etc...
>>
>> Is there any way to automate this process?
>>
>> Thanks for your advice !!!!!
>>
>> Nico
>>
>> [[alternative HTML version deleted]]
>>
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>
>
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