Hi Ivan,
Thanks for the reply.
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 ?crit :
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.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.