Hi Arun,
This seems to do what you are looking for:
Y <- matrix(rnorm(12), 4, 3)
Y
[,1] [,2] [,3]
[1,] -1.0457177 0.7756343 -0.06063478
[2,] -0.8962113 1.5573704 -0.50137832
[3,] 1.2693872 -0.3654018 0.92606273
[4,] 0.5938409 0.8165564 0.03693769
X <- apply(Y, 1, which.min)
X
[1] 1 1 2 3
HTH,
Giovanni
Quoting "arun.gurubaramurugeshan" <arun.gurubaramuruges...@autozone.com>:
Hi,
I need help with the following.
I have a dataset Y with 200 observations and three variables Y1, Y2 & Y3. I
have to find the minimum of Y1, Y2 & Y3 and if the minimum is Y1 then I have
to assign 1 to a variable (Y4), if Y2 is the minimum then "2" to Y4 else
"3" to Y4. This is what I have done....
for (i in 1:200) if(Y1<Y2 & Y1<Y3) Y$Y4=1 else if (Y2<Y3) Y$Y4=2
else Y$Y4=3
and R is throwing back this warning message
Warning messages:
1: In if (Y1 < Y2 & Y1 < Y3) Y4 <- 1 else if (Y2 < Y3) Y4
<- 2 else Y4 <- 3 :
the condition has length > 1 and only the first element will be used
2: In if (Y2 < Y3) Y4 <- 2 else Y4 <- 3 :
the condition has length > 1 and only the first element will be used
Any help would be appreciated.
Thanks
Arun
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