> Hardly a showstopper though; we're in timtowdi territory here and we're
> allowed a bit of personal preference.
Absolutely. I appreciate your constructive comments, however.
Cheers,
Bert
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and mo
> If you are concerned about missing levels -- which I agree is legitimate --
> then
> the following simple modification works (for
> **factors** of course):
>
> > d <- factor(letters[1:2],levels= letters[1:3]) d
> [1] a b
> Levels: a b c
> > f <- factor(d,levels = levels(d), labels = LETTERS[3:1
On 11 Oct 2016, at 01:32 , S Ellison wrote:
>> Well, I think that's kind of overkill.
> Depends whether you want to recode all or some, and how robust you want the
> answer to be.
> recode() allows you to recode a few levels of many, without dependence on
> level ordering; that's kind of neat
Still overkill, I believe.
" Unlike using the numeric levels, that doesn't fail if some of the
levels I expect are absent; it only fails (and does so visibly) when
there's a value in there that I haven't assigned a coding to. So it's
a tad more robust. "
If you are concerned about missing level
> Well, I think that's kind of overkill.
Depends whether you want to recode all or some, and how robust you want the
answer to be.
recode() allows you to recode a few levels of many, without dependence on level
ordering; that's kind of neat.
tbh, though, I don't use recode() a lot; I generall
Hi Margaret,
This may be a misunderstanding of your request, but what about:
mydata<-data.frame(oldvar=paste("topic",sample(1:9,20,TRUE),sep=""))
mydata$newvar<-sapply(mydata$oldvar,gsub,"topic.","parenttopic")
Jim
On Tue, Oct 11, 2016 at 1:56 AM, MACDOUGALL Margaret
wrote:
> Hello
>
> The R c
r-help-boun...@r-project.org] On Behalf Of
> MACDOUGALL Margaret
> Sent: Monday, October 10, 2016 10:56 AM
> To: r-help@r-project.org
> Subject: [R] Recoding lists of categories of a variable
>
> Hello
>
> The R code
> mydata$newvar[oldvar = "topic1"] <- &qu
10, 2016 10:56 AM
> To: r-help@r-project.org
> Subject: [R] Recoding lists of categories of a variable
>
> Hello
>
> The R code
> mydata$newvar[oldvar = "topic1"] <- "parenttopic"
That should be
mydata$newvar[oldvar == "topic1"] <- "
Well, I think that's kind of overkill.
Assuming "oldvar" is a factor in the data frame mydata, then the
following shows how to do it:
> set.seed(27)
> d <- data.frame(a = sample(c(letters[1:3],NA),15,replace = TRUE))
> d
a
1
2 a
3
4 b
5 a
6 b
7 a
8 a
9 a
10
10 8 7
7 11
topic 10topic 11topic 12topic 13topic 15topic 16
topic 17topic 18
8 10 9 13 19 12
11 3
topic 19topic 20
18
> Is there a convenient way to edit this code to allow me to recode a list of
> categories 'topic 1', 'topic 9' and 'topic 14', say, of the the old variable
> 'oldvar'
> as 'parenttopic' by means of the new variable 'newvar', while also mapping
> system missing values to system missing values?
Yo
Hello
The R code
mydata$newvar[oldvar = "topic1"] <- "parenttopic"
is intended to recode the category 'topic 1' of the old varaible 'oldvar' a
new category label 'parenttopic' by defining the new variable 'newvar'.
Is there a convenient way to edit this code to allow me to recode a list of
ca
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