Hi Meredith,
Why not just use paste()?
cuyahoga_nf$newcolumn <- paste(cuyahoga_nf[,1], cuyahoga_nf[,2],
cuyahoga_nf[,3], . , cuyahoga_nf[,4])
Best,
Steve Politzer_ahles
- Original Message -
> From: Meredith Ballard LaBeau
> To: r-help@r-project.org
> Cc:
> Sent: Friday, September
HI,
You can try melt(). Not sure how it will perform in large datasets.
library(reshape)
n<-1e3
set.seed(1)
mat1<-matrix(rnorm(n,15),ncol=20,nrow=50)
dat1<-data.frame(mat1)
dat2<-data.frame(value=melt(dat1)[,2])
dim(dat2)
#[1] 1000 1
head(dat2,6)
# value
#1 14.37355
#2 15.18364
#3 14.164
?unlist
(A data frame is a list, as ?data.frame explains. Also the Intro to R
tutorial, which should be read by everyone beginning with R).
-- Bert
On Fri, Sep 28, 2012 at 2:51 PM, Meredith Ballard LaBeau
wrote:
> Good Evening-
> I have a dataframe that has 10 columns that has a header and 730
On Sep 28, 2012, at 2:51 PM, Meredith Ballard LaBeau wrote:
> Good Evening-
> I have a dataframe that has 10 columns that has a header and 7306 rows in
> each column, I want to combine these columns into one. I utilized the stack
> function but it only returned 3/4 of the data...my code is:
> whe
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