Thanks Arun,
I agree using read.table is probably easier :)
2014-05-21 12:08 GMT+02:00 arun :
>
>
> Hi Katherine,
>
> #or you can use:
> read.table(text=dat,sep="",header=FALSE,stringsAsFactors=FALSE)
> # V1 V2
> #1 ABC 1
> #2 ABC 2
> #3 ABC 3
> #4 DEF 10
> #5 DEF 20
> A.K.
>
>
> On Wednesday
Hi Katherine,
#or you can use:
read.table(text=dat,sep="",header=FALSE,stringsAsFactors=FALSE)
# V1 V2
#1 ABC 1
#2 ABC 2
#3 ABC 3
#4 DEF 10
#5 DEF 20
A.K.
On Wednesday, May 21, 2014 5:38 AM, Luca Cerone wrote:
Hi Katherin,
the following code does the trick:
x <- strsplit(dat," ")
df <-
Hi Katherin,
the following code does the trick:
x <- strsplit(dat," ")
df <- data.frame(p1=sapply(x, function(x) x[1]), p2 = sapply(x,
function(x) x[2]))
Hope it helps,
Luca
2014-05-21 11:29 GMT+02:00 Katherine Gobin :
> Dear R forum
>
> I have a vector as
>
> dat = c("ABC 1", "ABC 2", "ABC 3",
Dear R forum
I have a vector as
dat = c("ABC 1", "ABC 2", "ABC 3", "DEF 10", "DEF 20")
> dat
[1] "ABC 1" "ABC 2" "ABC 3" "DEF 10" "DEF 20"
I need to split the names into two parts say
p1 p2
ABC 1
ABC 2
ABC 3
DEF 10
DEF 20
Kindly guide
Katherine
[[al
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