[R] how to aggregate T-test result in an elegant way?
Yao He
yao.h.1988 at gmail.com
Mon Jan 7 10:00:46 CET 2013
Hi, arun
I'm so sorry for that isn't helpful.
One of question is that I don't know how to subset a small part as it
is a 3-dimension array so I just show the structure of that.
I tried dput() to a file , then what should I do for subsetting it?
Another question is :
My rawdata is a "melt" dataframe like that:
IID O2 variable value
1 TWF2H5 13% EW.INCU 49.38
2 TWF2H6 13% EW.INCU 48.02
3 TWF2H19 13% EW.INCU 51.44
280 TWF2H101 13% EW.17.5 42.26
281 TWF2H105 13% EW.17.5 43.52
282 TWF2H106 13% EW.17.5 42.83
472 TWF2N102 21% EW.17.5 45.97
473 TWF2N104 21% EW.17.5 43.32
474 TWF2N106 21% EW.17.5 48.63
689 TWF2N2 21% EMW 19.57
690 TWF2N6 21% EMW 18.07
691 TWF2N10 21% EMW 15.4
491 TWF2H5 13% EMW 15.61
492 TWF2H6 13% EMW 13.41
493 TWF2H19 13% EMW 14.03
199 TWF2N2 21% EW.INCU 48.69
200 TWF2N6 21% EW.INCU 50.52
201 TWF2N10 21% EW.INCU 42.04
if you meet a t-test task as I described , is that generate a
high-dimension array a good way ?
Thank you!
Yao He
2013/1/7 arun <smartpink111 at yahoo.com>:
> HI,
> I tried to create an example dataset (as you didn't provide the data).
> set.seed(25)
> a<-array(sample(1:50,60,replace=TRUE),dim=c(2,10,3))
> dimnames(a)[[1]]<-c("13%","21%")
> dimnames(a)[[2]]<-paste("TWF2H",101:110,sep="")
> dimnames(a)[[3]]<-c("EW.INCU","EW.17.5","EMW")
>
>
> str(a)
> # int [1:2, 1:10, 1:3] 21 35 8 45 7 50 32 17 4 15 ...
> #- attr(*, "dimnames")=List of 3
> #..$ : chr [1:2] "13%" "21%"
> .#.$ : chr [1:10] "TWF2H101" "TWF2H102" "TWF2H103" "TWF2H104" ...
> #..$ : chr [1:3] "EW.INCU" "EW.17.5" "EMW"
>
> res<-lapply(lapply(seq_len(dim(a)[3]),function(i) t.test(a[dimnames(a)[[1]][1],,i],a[dimnames(a)[[1]][2],,i])),function(x) data.frame(mean=x$estimate,p.value=x$p.value))
> res1<-do.call(rbind,res)
> row.names(res1)[grep("mean of x",row.names(res1))]<-gsub("(.*\\.).*$","\\113%",row.names(res1)[grep("mean of x",row.names(res1))])
> row.names(res1)[grep("mean of y",row.names(res1))]<-gsub("(.*\\.).*$","\\121%",row.names(res1)[grep("mean of y",row.names(res1))])
> res1
> # mean p.value
> #EW.INCU.13% 22.3 0.2754842
> #EW.INCU.21% 29.3 0.2754842
> #EW.17.5.13% 20.5 0.4705772
> #EW.17.5.21% 16.0 0.4705772
> #EMW.13% 23.9 0.9638679
> #EMW.21% 24.2 0.9638679
> A.K.
>
>
>
>
> ----- Original Message -----
> From: Yao He <yao.h.1988 at gmail.com>
> To: arun <smartpink111 at yahoo.com>
> Cc: R help <r-help at r-project.org>
> Sent: Sunday, January 6, 2013 11:21 PM
> Subject: Re: [R] how to aggregate T-test result in an elegant way?
>
> Thank you，it is really helpful everytime.
>
> I didn't provide any example data because I thought it is just a
> question of how to report t.test() result in R.
> However,as you say,it is better to show more details for finding an elegant way
>
> In fact I generate a 3-dimension array like that:
> str(a)
> num [1:2, 1:245, 1:3] 47.5 NA 48.9 NA 47.5 ...
> - attr(*, "dimnames")=List of 3
> ..$ : chr [1:2] "13%" "21%"
> ..$ : chr [1:245] "TWF2H101" "TWF2H105" "TWF2H106" "TWF2H110" ...
> ..$ : chr [1:3] "EW.INCU" "EW.17.5" "EMW"
>
> I want to do two sample mean t-test between 13% and 21% for each
> variable "EW.INCU" "EW.17.5" "EMW".
>
> So I try these codes:
> variable<-dimnames(a)[[3]]
> O2<-dimnames(a)[[1]]
> for (i in variable) {
> print(i)
> print(O2[1])
> print(O2[2])
> print(t.test(a[O2[1],,i],a[O2[2],,i],na.rm=T))
> }
>
> I don't think it is an elegant way and I am inexperience to report raw result.
> Could you give me more help?
>
> Yao He
>
> 2013/1/7 arun <smartpink111 at yahoo.com>:
>> Hi,
>> You didn't provide any example data. So, I am not sure whether this helps.
>>
>> set.seed(15)
>> dat1<-data.frame(A=sample(10:20,5,replace=TRUE),B=sample(18:28,5,replace=TRUE),C=sample(25:35,5,replace=TRUE),D=sample(20:30,5,replace=TRUE))
>> res<-lapply(lapply(seq_len(ncol(dat2)),function(i) t.test(dat2[,i],dat1[,1],paired=TRUE)),function(x) data.frame(meanDiff=x$estimate,p.value=x$p.value))# paired
>> names(res)<-paste("A",LETTERS[2:4],sep="")
>> res<- do.call(rbind,res)
>> res
>> # meanDiff p.value
>> #AB 9.4 0.021389577
>> #AC 15.0 0.002570261
>> #AD 10.6 0.003971604
>>
>>
>> #or
>> res1<-lapply(lapply(seq_len(ncol(dat2)),function(i) t.test(dat2[,i],dat1[,1],paired=FALSE)),function(x) data.frame(mean=x$estimate,p.value=x$p.value))
>> names(res1)<-paste("A",LETTERS[2:4],sep="")
>> res1<-do.call(rbind,res1)
>> row.names(res1)[grep("mean of y",row.names(res1))]<-gsub("(.*\\.).*","\\1A",row.names(res1)[grep("mean of y",row.names(res1))])
>> row.names(res1)[grep("mean of x",row.names(res1))]<-gsub("(\\w)(\\w)(\\.).*","\\1\\2\\3\\2",row.names(res1)[grep("mean of x",row.names(res1))])
>> res1
>> # mean p.value
>> #AB.B 25.2 1.299192e-03
>> #AB.A 15.8 1.299192e-03
>> #AC.C 30.8 5.145519e-05
>> #AC.A 15.8 5.145519e-05
>> #AD.D 26.4 1.381339e-03
>> #AD.A 15.8 1.381339e-03
>>
>>
>> A.K.
>>
>>
>>
>> ----- Original Message -----
>> From: Yao He <yao.h.1988 at gmail.com>
>> To: r-help at r-project.org
>> Cc:
>> Sent: Sunday, January 6, 2013 10:20 PM
>> Subject: [R] how to aggregate T-test result in an elegant way?
>>
>> Dear all:
>>
>> Plan 1:
>> I want to do serval t-test means for different variables in a loop ,
>> so I want to add all results to an object then dump() them to an
>> text. But I don't know how to append T-test result to the object?
>>
>> I have already plot the barplot and I want to know an elegant way to
>> report raw result.
>> Can anybody give me some pieces of advice?
>>
>> Yao He
>> ―――――――――――――――――――――――――
>> Master candidate in 2rd year
>> Department of Animal genetics & breeding
>> Room 436,College of Animial Science&Technology,
>> China Agriculture University,Beijing,100193
>> E-mail: yao.h.1988 at gmail.com
>> ――――――――――――――――――――――――――
>>
>> ______________________________________________
>> 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.
>>
>
>
>
> --
> ―――――――――――――――――――――――――
> Master candidate in 2rd year
> Department of Animal genetics & breeding
> Room 436,College of Animial Science&Technology,
> China Agriculture University,Beijing,100193
> E-mail: yao.h.1988 at gmail.com
> ――――――――――――――――――――――――――
>
--
―――――――――――――――――――――――――
Master candidate in 2rd year
Department of Animal genetics & breeding
Room 436,College of Animial Science&Technology,
China Agriculture University,Beijing,100193
E-mail: yao.h.1988 at gmail.com
――――――――――――――――――――――――――
More information about the R-help
mailing list