[R] T-test by groups
Peter Dalgaard
P.Dalgaard at biostat.ku.dk
Thu Feb 26 11:58:07 CET 2009
Uwe Ligges wrote:
>
>
> Ingrid Tohver wrote:
>> I would like to run a t-test within a "by" group function. My
>> dataset, "error", is organized as the following (I have 133 Sites):
>>
>> Site week Dataset Region lat_map long_map mean_tsim diff20 diff40
>> diff80
>> ALFI 15 USACE UC 48.15625 -117.0938 8.87 1.34 1.90
>> 2.98
>> ALFI 16 USACE UC 48.15625 -117.0938 10.28 0.57 1.08
>> 2.27
>> ALFI 17 USACE UC 48.15625 -117.0938 11.08 0.74 1.30
>> 2.52
>> ALFI 18 USACE UC 48.15625 -117.0938 12.23 0.42 1.11
>> 2.42
>> ALFI 19 USACE UC 48.15625 -117.0938 13.19 1.00 1.73
>> 3.14
>> ALFI 20 USACE UC 48.15625 -117.0938 14.31 1.77 2.62
>> 3.78
>>
>> I am interested in running the t-test by the "Site" index. My code
>> looks like this:
>>
>> t_test<-by(error, error['Site'], function(dat) t.test(subset(error
>> $diff20),subset(error$diff80), data=dat))
>>
>> This code runs the t-test, but over the whole dataset without
>> discriminating by Site, so each Site's result is the same. Could
>> someone help determine a better approach or why mine is not working.
>
> I guess you want
>
> by(error, error['Site'], function(dat) t.test(dat$diff20, dat$diff40))
...and most likely also, paired=TRUE. Notice that the data= argument
only works for the formula interface, which is not (yet) defined for
paired data, but only for the y~group type two-sample case.
> Uwe Ligges
>
>
>> Thank you,
>> Ingrid
>>
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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