dplyr != tidyverse.
And questions that presuppose a solution method demonstrate closed-mindedness,
and reduce the chance that novel solutions will be put forth, or that the
questioner will actually learn something instead of using the list as a
glorified search engine.
It is not that answers s
Hi Chishti,
Try this:
dim(x)[2]
length(dn)
>From your error message, the two will be different. They should be the
same. A wild guess is that the offending line of code should be:
dimnames[2]<-1:dn
Jim
On Tue, Jun 21, 2022 at 11:10 PM Muhammad Zubair Chishti
wrote:
>
> Hi, Dear Professor,
> W
Hello,
Right, intuitive is (very) relative. I was thinking of base function
stats::reshape. Its main difficulty is, imho, to reshape to both wide
and long formats. Compared to it, tidyr::pivot_* are (much?) easier to
understand.
Here is a stats::reshape solution.
df_long <- reshape(
data
Beware of being too specific about how you want something solved... not just
here, but in all contexts. Your question is like "how do I slice this apple
with this potholder"... dplyr actually doesn't do that, and you can benefit
from learning how to do things in general, not just in your preferr
I do not see how to do this with exclusively dplyr commands. I might be able to
make it work by including commands outside of dplyr, but at that point I would
use pivot_longer() from the tidyr package.
Tim
-Original Message-
From: R-help On Behalf Of Thomas Subia
Sent: Tuesday, June 21
Hi, you should post a reproducible example if you want to have an answer.
This error is generated when you try to copy an object in another of the
wrong size.
> a <- data.frame(A=1:2)
> dimnames(a)
[[1]]
[1] "1" "2"
[[2]]
[1] "A"
> dn <- list(c("3", "4"), c("B", "D"))
> dimnames(a) <- dn
Err
6 matches
Mail list logo
