There are many techniques Callum and yours is an interesting twist I had not
considered.
Yes, you can specify what integer a factor uses to represent things but not
what I meant. Of course your trick does not work for some other forms of data
like real numbers in double format. There is a
I might have factored the gender.
I'm not sure it would in any way be quicker. But might be to some extent
easier to develop variations of. And is sort of what factors should be
doing...
# make dummy data
gender <- c("Male", "Female", "Male", "Female")
WC <- c(70,60,75,65)
TG <- c(0.9, 1.1,
Hi all,
Thank you very much.
I learn a lot from your suggested solution.
On Sun, Nov 5, 2023 at 12:56 AM Rui Barradas wrote:
> Às 01:49 de 03/11/2023, roslinazairimah zakaria escreveu:
> > Hi all,
> >
> > This is the data:
> >
> >> dput(head(dt1,20))structure(list(StationName = c("PALO ALTO
Thanks Everyone,
My variables are in a dataframe with multiple other variables.
Thanks
-
*Md Kamruzzaman*
On Sat, Nov 4, 2023 at 1:13 AM Bert Gunter wrote:
> Well, something like:
>
> LAP <- ifelse(gender =='male', (WC-65)*TG, (WC-58)*TG)
>
> The exact code depends
There may be a point to consider about the field containing dates in the
request below. Yes, much code will "work" just fine if the column are is seen
as text as you can group by that too. The results will perhaps not be in the
order by row that you expected but you can do your re-sorting
Às 01:49 de 03/11/2023, roslinazairimah zakaria escreveu:
Hi all,
This is the data:
dput(head(dt1,20))structure(list(StationName = c("PALO ALTO CA / CAMBRIDGE #1",
"PALO ALTO CA / CAMBRIDGE #1", "PALO ALTO CA / CAMBRIDGE #1",
"PALO ALTO CA / CAMBRIDGE #1", "PALO ALTO CA / CAMBRIDGE #1",
Yes, Bert. At first glance I thought it was one of the merge/joins and then
wondered at the wording that made it sound like the ids may not be one per
column.
IFF the need is the simpler case, it is a straightforward enough and common
need. An example might make it clear enough so actual code
I think a simple reproducible example ("reprex") may be necessary for you
to get a useful reply. Questions with vague specifications such as yours
often result in going round and round with attempts to clarify what you
mean without a satisfactory answer. Clarification at the outset with a
reprex
Hi everyone,
I have a tibble with various ids and associated information.
I need to add a new column to this tibble that retrieves a specific 'y'
value from a different tibble that has some of the mentioned ids in the
first column and a 'y' value in the second one. If the id, and so the 'y'
9 matches
Mail list logo