Kai,
It is easier to want to help someone if they generally know what they are doing
and are stuck on something. Less so when they do not know enough to explain to
us what they want, show what they did, and so on.
I modified the data you showed and hopefully it can be recreated this way:
Got it.Thank you.
On Friday, August 13, 2021, 03:03:26 PM PDT, Bert Gunter
wrote:
It's dput() *not* dupt() . ?dput tells you how to use it (as usual).
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka
It's dput() *not* dupt() . ?dput tells you how to use it (as usual).
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Aug 13, 2021 at 2:48 PM Kai Yang via
Hello John,
I put my testing data below. I'm not sure how to use dupt() function. would you
please give me an example?
Thanks,
Kai
|
ethnicity |
individuals |
| Caucasian | 36062 |
| Ashkenazi Jewish | 4309 |
| Multiple | 3193 |
| Hispanic | 2113 |
| Asian. not specified | 1538 |
| Chinese |
Would you supply some sample data please? A handy way to supply sample
data is to use the dput() function. See ?dput. If you have a very
large data set then something like head(dput(myfile), 100) will likely
supply enough data for us to work with.
On Thu, 12 Aug 2021 at 11:45, Kai Yang via
Thank you! both hacks worked as needed!
On Thu, Aug 12, 2021 at 6:59 PM Rui Barradas wrote:
>
> Hello,
>
> And another way, with which(., arr.ind = TRUE).
> In two steps, to make it clearer.
>
>
> i <- which(df[grep("var[123]", names(df))] == "a", arr.ind = TRUE)
> df[i] <- "z"
>
> df
> # var1
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