> # Import CSV file into a data frame.
> case_weights <- read.csv(file = "case_weights.csv")
>
> # For each row, take the number in the Weight column and replicate it
> # as many times as there are in each count column.
> LC09 <- rep(case_weights$Weight, case_weights$LC09)
> LC10 <- rep(case_weight
Hi
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of
> memilanuk
> Sent: Monday, March 23, 2015 8:41 AM
> To: r-h...@stat.math.ethz.ch
> Subject: Re: [R] 1st script
>
> On 03/22/2015 10:58 PM, PIKAL Petr wrote:
>
> >
On 03/22/2015 10:58 PM, PIKAL Petr wrote:
use list and numeric indexing. As you did not provide reproducibe example here
is possible way.
dat <- data.frame(w=abs(rnorm(10)), LC09=round(runif(10)*10),
LC10=round(runif(10)*10))
lll <- vector("list", 2)
k=0
for(i in 2:3) {
k=k+1
lll[[k]] <- rep(
Hi
use list and numeric indexing. As you did not provide reproducibe example here
is possible way.
dat <- data.frame(w=abs(rnorm(10)), LC09=round(runif(10)*10),
LC10=round(runif(10)*10))
lll <- vector("list", 2)
k=0
for(i in 2:3) {
k=k+1
lll[[k]] <- rep(dat$w, dat[,i])
}
names(lll)<-names(dat[,
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