> | but they won't receive any new
> | features, and we believe that there
> | are now better approaches to solving
> | the same problem.
>
> Is tidyr::pivot_longer this better
> solution? It is an easier to understand
> version of the now retired and confusing
> (for me) tidyr::gather which at
On 2020-08-17 10:09 -0700, Bert Gunter wrote:
| On Mon, Aug 17, 2020 at 9:53 AM Rasmus Liland wrote:
| |
| | Also, stack is also possible to use:
| |
| | tab <- structure(list(
| | date = c("2019M08", "2019M09", "2019M10"),
| | down = c(0.01709827, 0.02094724, 0.01750911),
| | uc =
Well, not that there is anything "wrong" with previous suggestions, but it
is pretty straightforward just with base R functionality:
> nm <- names(tab)[2:4]
> with(tab, data.frame(date = rep(date, length(nm)),
+ direction = rep(nm, e = 3),
+ percentage =
Dear John,
Op ma 17 aug. 2020 om 09:52 schreef Eric Berger:
| On Mon, Aug 17, 2020 at 10:49 AM Thierry Onkelinx wrote:
| |
| | You are looking for tidyr::pivot_longer()
|
| Alternatively, melt() from the reshape2 package.
|
| library(reshape2)
|
We previously used the term retired to suggest that the package is
taking it easy and relaxing, but isn't dead. This causes a lot of
confusion so we now call this state "superseded" — we'll continue to
keep reshape2 (and reshape!) on CRAN, but they won't receive any new
features, and we believe
Thanks for this information Thierry. I was not aware.
The author of the packages is Hadley Wickham. He writes on Github that he
does plan to make changes necessary to keep the package available on CRAN.
On Mon, Aug 17, 2020 at 11:23 AM Thierry Onkelinx
wrote:
> Yes. However reshape2 is a
Thanks!
Thierry Onkelinx 於 2020年8月17日 週一 下午4:23寫道：
> Yes. However reshape2 is a retired package. The author recommends to use
> his new package tidyr.
>
> ir. Thierry Onkelinx
> Statisticus / Statistician
>
> Vlaamse Overheid / Government of Flanders
> INSTITUUT VOOR NATUUR- EN BOSONDERZOEK /
Yes. However reshape2 is a retired package. The author recommends to use
his new package tidyr.
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie &
Alternatively, melt() from the reshape2 package.
library(reshape2)
melt(x,id.vars="date",measure.vars=c("down","uc","up"),variable.name
="direction",value.name="percentage")
HTH,
Eric
On Mon, Aug 17, 2020 at 10:49 AM Thierry Onkelinx via R-help <
r-help@r-project.org> wrote:
> You are looking
You are looking for tidyr::pivot_longer()
Best regards,
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality
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