Great! Thanks
Sent from my LG G Flex, an AT&T 4G LTE smartphone
-- Original message--
From: Jorge I Velez
Date: Fri, Aug 15, 2014 8:54 AM
To: Sohail Khan;
Cc: Jim Lemon;R Help;
Subject:Re: [R] reshape a dataset
If that's the case, you could do the following:
d <- with(skd
If that's the case, you could do the following:
d <- with(skdat, table(ID, lettertag))
d <- data.frame(cbind(ID = rownames(d), d))
rownames(d) <- NULL
d
HTH,
Jorge.-
On Fri, Aug 15, 2014 at 8:22 PM, Sohail Khan wrote:
> Thanks Jim and Jorge,
> Clever solutions, the final output is a list.
>
On Fri, 15 Aug 2014 06:22:53 AM Sohail Khan wrote:
> Thanks Jim and Jorge,
> Clever solutions, the final output is a list.
> How do I covert it back a dataframe?
> -Sohail
>
as.data.frame(newskdat)
or for Jorge's
as.data.frame(res)
Jim
__
R-help@r-pr
Thanks Jim and Jorge,
Clever solutions, the final output is a list.
How do I covert it back a dataframe?
-Sohail
On Fri, Aug 15, 2014 at 5:37 AM, Jorge I Velez
wrote:
> Dear Sohail,
>
> Using Jim's data set skdat, two more options would be
>
> # first option
> d <- with(skdat, table(ID, lettert
Dear Sohail,
Using Jim's data set skdat, two more options would be
# first option
d <- with(skdat, table(ID, lettertag))
names <- colnames(d)
d <- c(list(rownames(d)), lapply(1:ncol(d), function(i) as.numeric(d[,i])))
names(d) <- c('ID', names)
d
# second option
d <- with(skdat, table(ID, letter
On Thu, 14 Aug 2014 06:08:51 PM Sohail Khan wrote:
> Hi
> I have data set as follows:
> A 92315 A 35018 A 56710 B 52700 B 92315 B 15135 C 35018 C
52700
> I would like to transform this data set into:
> ID 92315 35018 56710 52700 15135 A 1 1 1 0 0 B 1 0 0 1 1 C 0 1 0
1 0
> I looked i
Hi
I have data set as follows:
A 92315 A 35018 A 56710 B 52700 B 92315 B 15135 C 35018 C 52700
I would like to transform this data set into:
ID 92315 35018 56710 52700 15135 A 1 1 1 0 0 B 1 0 0 1 1 C 0 1 0 1 0
I looked into reshape package to no avail.
I would appreciate any suggestio
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