Dammit. Forgot all about that.
Yes, that is the way to do it:
with(dat,
ave(Value, Group, FUN = \(x)min(x, na.rm = TRUE)))
Thanks for resolving my nonsense.
-- Bert
On Thu, Aug 29, 2024 at 2:58 PM Jeff Newmiller via R-help <
r-help@r-project.org> wrote:
> Use the ave function.
>
> On Augu
Use the ave function.
On August 29, 2024 2:29:16 PM PDT, Bert Gunter wrote:
>Petr et.al:
>
>I think using merge is a very nice idea! (note that the email omitted the
>last rows of the result, though your code of course produced them)
>
>The only minor problem is that the order of the rows in the
Petr et.al:
I think using merge is a very nice idea! (note that the email omitted the
last rows of the result, though your code of course produced them)
The only minor problem is that the order of the rows in the result is
changed from the original. If the OP needs to preserve the original
orderi
Hallo Francesca
If you had an object with correct setting, something like template
> dput(res)
structure(list(V1 = c("1", "2", "3", "4", "5", "6", "7", "8"),
V2 = c(2, 7, 10, 4, 9, 5, 2, 6)), class = "data.frame", row.names =
c("1",
"2", "3", "4", "5", "6", "7", "8"))
you could merge it with
-Original Message-
From: R-help On Behalf Of Rui Barradas
Sent: Wednesday, August 28, 2024 4:19 AM
To: Francesca PANCOTTO ; r-help@r-project.org
Subject: Re: [R] Fill NA values in columns with values of another column
[External Email]
Às 11:23 de 27/08/2024, Francesca PANCOTTO via R-help escreveu
Sent: Wednesday, August 28, 2024 4:19 AM
To: Francesca PANCOTTO ; r-help@r-project.org
Subject: Re: [R] Fill NA values in columns with values of another column
[External Email]
Às 11:23 de 27/08/2024, Francesca PANCOTTO via R-help escreveu:
> Dear Contributors,
> I have a problem with a da
Às 11:23 de 27/08/2024, Francesca PANCOTTO via R-help escreveu:
Dear Contributors,
I have a problem with a database composed of many individuals for many
periods, for which I need to perform a manipulation of data as follows.
Here I report the procedure I need to do for the first 32 observations
Thanks, Calum. After rereading the post, I came to your interpret it
as you did. So glad that we agree.
"easier" of course is in the mind of the beholder. But I'm glad that
you presented a "tidyverse" approach. There are other issues of
dependencies and efficiency that also might be relevant.
Any
Bert
I thought she meant she wanted to replace the NAs with the 6. But I could
be wrong.
It looks like the data is combined from cbind.
I'm going to give tidyverse examples because it's (/s) *"always"* (/s)
easier.
require(tidyverse)
# impute the missing NAs
myData <- cbind(VB1d[,1],s1id[,1])
Sorry, not clear to me.
For group 8 in your example, do you want extract the values in column
1 that are not NA, i.e. one value, 6; or do you want to extract the
number of values -- that is, the count -- that are not NA, i.e. 1?
... and for group 5, would it be c(9,9) for the values; or 2 for th
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