thank you so much :)
On Sun, Aug 25, 2013 at 7:48 AM, arun kirshna [via R] <
ml-node+s789695n4674466...@n4.nabble.com> wrote:
>
>
> Hi,
> Try this:
>
> sapply(lst1,function(x) with(x,cor(CF,OSA)))
> # 2231 2232 2233
> #-0.9607689 -1.000 0.9973233
> #or
> library(plyr)
> dd
Hi,
Try this:
sapply(lst1,function(x) with(x,cor(CF,OSA)))
# 2231 2232 2233
#-0.9607689 -1.000 0.9973233
#or
library(plyr)
ddply(dat1,.(BaseProd),summarize,Cor=cor(CF,OSA))
# BaseProd Cor
#1 2231 -0.9607689
#2 2232 -1.000
#3 2233 0.9973233
#or
Hi,
Use ?split()
#dat1 is the dataset:
lst1<- split(dat1,dat1$BaseProd)
lst1
#$`2231`
# BaseProd CF OSA
#1 2231 0.5 0.7
#2 2231 0.8 0.6
#3 2231 0.4 0.8
#
#$`2232`
# BaseProd CF OSA
#4 2232 1 2
#5 2232 3 1
#
#$`2233`
# BaseProd CF OSA
#6 2233 0.9 0.5
#7 2233 0.
3 matches
Mail list logo