You're right, it's not exactly what you wanted.
But... data.frames are lists, so you would access each element of it as
you intended to:
HIV$hiv.dat1$predictions
My opinion is that it's easier to work with data.frames when possible
(as opposed to lists), and I don't see why you would break down the
columns of the data.frames. Plus you asked for nested data.frames.
But maybe you do need to separate the columns of a data.frame, and you
could do it like this:
HIV <- list(hiv.dat1=as.list(dat1), hiv.dat2=as.list(dat2))
HTH,
Ivan
Le 1/31/2011 15:31, Gundala Viswanath a écrit :
> Hi Ivan,
>
> Thanks for the reply.
>
>> Would that do?
> But I won't do.
>
>> names(dat1)<- names(dat2)<- c("labels","predictions")
>> HIV<- list(hiv.dat1=dat1, hiv.dat2=dat2)
>
> The above snippet produces this instead:
>
>> names(dat1)<- names(dat2)<- c("labels","predictions")
>> HIV<- list(hiv.dat1=dat1 hiv.dat2=dat2);
>>
>> print(HIV)
> $hiv.dat1
> labels predictions
> 1 1 43
> 2 1 43
> 3 1 43
>
> $hiv.dat2
> labels predictions
> 1 1 43
> 2 1 21
> 3 1 43
> 4 1 43
> 5 1 24
> 6 0 24
>
>
> - G.V.
>
>> Ivan
>>
>>
>> Le 1/31/2011 10:50, Gundala Viswanath a écrit :
>>> Dear Experts,
>>>
>>> I have a data that looks like this.
>>>
>>>> file1="dat1.tab"
>>>> file2="dat2.tab"
>>>> dat1<-read.table(file1)
>>>> print(dat1)
>>> V1 V2
>>> 1 1 43
>>> 2 1 43
>>> 3 1 43
>>>> dat2<-read.table(file2)
>>>> print(dat2)
>>> V1 V2
>>> 1 1 43
>>> 2 1 21
>>> 3 1 43
>>> 4 1 43
>>> 5 1 24
>>> 6 0 24
>>> The column V1 refer to labels and V2 to prediction score.
>>>
>>> How can I create a data structure called HIV, that looks like this:
>>>
>>>> HIV
>>> $hiv.dat1
>>> $hiv.dat1$predictions
>>> $hiv.dat1$predictions[[1]]
>>> [1] 43 43 43
>>> $hiv.dat$labels
>>> $hiv.dat$labels[[1]]
>>> [1] 1 1 1
>>>
>>> $hiv.dat2
>>> $hiv.dat2$predictions
>>> $hiv.dat$predictions[[1]]
>>> [1] 43 21 43 43 24 24
>>> $hiv.dat2$labels
>>> $hiv.dat2$labels[[1]]
>>> [1] 1 1 1 1 1 0
>>>
>>> Forgive me I am a newbies here.
>>>
>>> - G.V.
>>>
>>> ______________________________________________
>>> 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.
>>>
>> --
>> Ivan CALANDRA
>> PhD Student
>> University of Hamburg
>> Biozentrum Grindel und Zoologisches Museum
>> Abt. Säugetiere
>> Martin-Luther-King-Platz 3
>> D-20146 Hamburg, GERMANY
>> +49(0)40 42838 6231
>> ivan.calandra at uni-hamburg.de
>>
>> **********
>> http://www.for771.uni-bonn.de
>> http://webapp5.rrz.uni-hamburg.de/mammals/eng/1525_8_1.php
>>
>> ______________________________________________
>> 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.
>>
--
Ivan CALANDRA
PhD Student
University of Hamburg
Biozentrum Grindel und Zoologisches Museum
Abt. Säugetiere
Martin-Luther-King-Platz 3
D-20146 Hamburg, GERMANY
+49(0)40 42838 6231
ivan.calandra at uni-hamburg.de
**********
http://www.for771.uni-bonn.de
http://webapp5.rrz.uni-hamburg.de/mammals/eng/1525_8_1.php