Hi,
Would that do?
names(dat1) <- names(dat2) <- c("labels","predictions")
HIV <- list(hiv.dat1=dat1, hiv.dat2=dat2)
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.
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--
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.calan...@uni-hamburg.de
**********
http://www.for771.uni-bonn.de
http://webapp5.rrz.uni-hamburg.de/mammals/eng/1525_8_1.php
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and provide commented, minimal, self-contained, reproducible code.
