Massimo Bressan
2017-Nov-22 10:34 UTC
[R] assign NA to rows by test on multiple columns of a data frame
Given this data frame (a simplified, essential reproducible example) A<-c(8,7,10,1,5) A_flag<-c(10,0,1,0,2) B<-c(5,6,2,1,0) B_flag<-c(12,9,0,5,0) mydf<-data.frame(A, A_flag, B, B_flag) # this is my initial df mydf I want to get to this final situation i<-which(mydf$A_flag==0) mydf$A[i]<-NA ii<-which(mydf$B_flag==0) mydf$B[ii]<-NA # this is my final df mydf By considering that I have to perform this task in a data frame with many columns I?m wondering if there is a compact and effective way to get the final result with just one ?sweep? of the dataframe? I was thinking to the function apply or lapply but I can not properly conceive how to? any hint for that? [[alternative HTML version deleted]]
Rui Barradas
2017-Nov-22 10:49 UTC
[R] assign NA to rows by test on multiple columns of a data frame
Hello,
Try the following.
icol <- which(grepl("flag", names(mydf)))
mydf[icol] <- lapply(mydf[icol], function(x){
is.na(x) <- x == 0
x
})
mydf
# A A_flag B B_flag
#1 8 10 5 12
#2 7 NA 6 9
#3 10 1 2 NA
#4 1 NA 1 5
#5 5 2 0 NA
Hope this helps,
Rui Barradas
On 11/22/2017 10:34 AM, Massimo Bressan wrote:>
>
> Given this data frame (a simplified, essential reproducible example)
>
>
>
>
> A<-c(8,7,10,1,5)
>
> A_flag<-c(10,0,1,0,2)
>
> B<-c(5,6,2,1,0)
>
> B_flag<-c(12,9,0,5,0)
>
>
>
>
> mydf<-data.frame(A, A_flag, B, B_flag)
>
>
>
>
> # this is my initial df
>
> mydf
>
>
>
>
> I want to get to this final situation
>
>
>
>
> i<-which(mydf$A_flag==0)
>
> mydf$A[i]<-NA
>
>
>
>
> ii<-which(mydf$B_flag==0)
>
> mydf$B[ii]<-NA
>
>
>
>
> # this is my final df
>
> mydf
>
>
>
>
> By considering that I have to perform this task in a data frame with many
columns I?m wondering if there is a compact and effective way to get the final
result with just one ?sweep? of the dataframe?
>
>
>
>
> I was thinking to the function apply or lapply but I can not properly
conceive how to?
>
>
>
>
> any hint for that?
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
Massimo Bressan
2017-Nov-22 11:19 UTC
[R] assign NA to rows by test on multiple columns of a data frame
...well, I don't think this is exactly the expected result (see my post)
to be noted that the columns affected should be "A" and "B"
thanks for the help
max
----- Messaggio originale -----
Da: "Rui Barradas" <ruipbarradas at sapo.pt>
A: "Massimo Bressan" <massimo.bressan at arpa.veneto.it>,
"r-help" <r-help at r-project.org>
Inviato: Mercoled?, 22 novembre 2017 11:49:08
Oggetto: Re: [R] assign NA to rows by test on multiple columns of a data frame
Hello,
Try the following.
icol <- which(grepl("flag", names(mydf)))
mydf[icol] <- lapply(mydf[icol], function(x){
is.na(x) <- x == 0
x
})
mydf
# A A_flag B B_flag
#1 8 10 5 12
#2 7 NA 6 9
#3 10 1 2 NA
#4 1 NA 1 5
#5 5 2 0 NA
Hope this helps,
Rui Barradas
On 11/22/2017 10:34 AM, Massimo Bressan wrote:>
>
> Given this data frame (a simplified, essential reproducible example)
>
>
>
>
> A<-c(8,7,10,1,5)
>
> A_flag<-c(10,0,1,0,2)
>
> B<-c(5,6,2,1,0)
>
> B_flag<-c(12,9,0,5,0)
>
>
>
>
> mydf<-data.frame(A, A_flag, B, B_flag)
>
>
>
>
> # this is my initial df
>
> mydf
>
>
>
>
> I want to get to this final situation
>
>
>
>
> i<-which(mydf$A_flag==0)
>
> mydf$A[i]<-NA
>
>
>
>
> ii<-which(mydf$B_flag==0)
>
> mydf$B[ii]<-NA
>
>
>
>
> # this is my final df
>
> mydf
>
>
>
>
> By considering that I have to perform this task in a data frame with many
columns I?m wondering if there is a compact and effective way to get the final
result with just one ?sweep? of the dataframe?
>
>
>
>
> I was thinking to the function apply or lapply but I can not properly
conceive how to?
>
>
>
>
> any hint for that?
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
------------------------------------------------------------
Massimo Bressan
ARPAV
Agenzia Regionale per la Prevenzione e
Protezione Ambientale del Veneto
Dipartimento Provinciale di Treviso
Via Santa Barbara, 5/a
31100 Treviso, Italy
tel: +39 0422 558545
fax: +39 0422 558516
e-mail: massimo.bressan at arpa.veneto.it
Ek Esawi
2017-Nov-22 13:37 UTC
[R] assign NA to rows by test on multiple columns of a data frame
Hi *Massimo,* *Try this.* *a <- mydf==0mydf[a] <- NAHTHEK* On Wed, Nov 22, 2017 at 5:34 AM, Massimo Bressan < massimo.bressan at arpa.veneto.it> wrote:> > > Given this data frame (a simplified, essential reproducible example) > > > > > A<-c(8,7,10,1,5) > > A_flag<-c(10,0,1,0,2) > > B<-c(5,6,2,1,0) > > B_flag<-c(12,9,0,5,0) > > > > > mydf<-data.frame(A, A_flag, B, B_flag) > > > > > # this is my initial df > > mydf > > > > > I want to get to this final situation > > > > > i<-which(mydf$A_flag==0) > > mydf$A[i]<-NA > > > > > ii<-which(mydf$B_flag==0) > > mydf$B[ii]<-NA > > > > > # this is my final df > > mydf > > > > > By considering that I have to perform this task in a data frame with many > columns I?m wondering if there is a compact and effective way to get the > final result with just one ?sweep? of the dataframe? > > > > > I was thinking to the function apply or lapply but I can not properly > conceive how to? > > > > > any hint for that? > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/ > posting-guide.html > and provide commented, minimal, self-contained, reproducible code.[[alternative HTML version deleted]]
Ek Esawi
2017-Nov-22 13:44 UTC
[R] assign NA to rows by test on multiple columns of a data frame
OPS, Sorry i did not read the post carfully. Mine will not work if you have zeros on columns A and B.. But you could modify it to work for specific columns i believe. EK On Wed, Nov 22, 2017 at 8:37 AM, Ek Esawi <esawiek at gmail.com> wrote:> Hi *Massimo,* > > *Try this.* > > *a <- mydf==0mydf[a] <- NAHTHEK* > > On Wed, Nov 22, 2017 at 5:34 AM, Massimo Bressan < > massimo.bressan at arpa.veneto.it> wrote: > >> >> >> Given this data frame (a simplified, essential reproducible example) >> >> >> >> >> A<-c(8,7,10,1,5) >> >> A_flag<-c(10,0,1,0,2) >> >> B<-c(5,6,2,1,0) >> >> B_flag<-c(12,9,0,5,0) >> >> >> >> >> mydf<-data.frame(A, A_flag, B, B_flag) >> >> >> >> >> # this is my initial df >> >> mydf >> >> >> >> >> I want to get to this final situation >> >> >> >> >> i<-which(mydf$A_flag==0) >> >> mydf$A[i]<-NA >> >> >> >> >> ii<-which(mydf$B_flag==0) >> >> mydf$B[ii]<-NA >> >> >> >> >> # this is my final df >> >> mydf >> >> >> >> >> By considering that I have to perform this task in a data frame with many >> columns I?m wondering if there is a compact and effective way to get the >> final result with just one ?sweep? of the dataframe? >> >> >> >> >> I was thinking to the function apply or lapply but I can not properly >> conceive how to? >> >> >> >> >> any hint for that? >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posti >> ng-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > >[[alternative HTML version deleted]]
Bert Gunter
2017-Nov-22 16:32 UTC
[R] assign NA to rows by test on multiple columns of a data frame
Do you mean like this:
mydf <- within(mydf, {
is.na(A)<- !A_flag
is.na(B)<- !B_flag
}
)
> mydf
A A_flag B B_flag
1 8 10 5 12
2 NA 0 6 9
3 10 1 NA 0
4 NA 0 1 5
5 5 2 NA 0
Cheers,
Bert
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 Wed, Nov 22, 2017 at 2:34 AM, Massimo Bressan <
massimo.bressan at arpa.veneto.it> wrote:
>
>
> Given this data frame (a simplified, essential reproducible example)
>
>
>
>
> A<-c(8,7,10,1,5)
>
> A_flag<-c(10,0,1,0,2)
>
> B<-c(5,6,2,1,0)
>
> B_flag<-c(12,9,0,5,0)
>
>
>
>
> mydf<-data.frame(A, A_flag, B, B_flag)
>
>
>
>
> # this is my initial df
>
> mydf
>
>
>
>
> I want to get to this final situation
>
>
>
>
> i<-which(mydf$A_flag==0)
>
> mydf$A[i]<-NA
>
>
>
>
> ii<-which(mydf$B_flag==0)
>
> mydf$B[ii]<-NA
>
>
>
>
> # this is my final df
>
> mydf
>
>
>
>
> By considering that I have to perform this task in a data frame with many
> columns I?m wondering if there is a compact and effective way to get the
> final result with just one ?sweep? of the dataframe?
>
>
>
>
> I was thinking to the function apply or lapply but I can not properly
> conceive how to?
>
>
>
>
> any hint for that?
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/
> posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
Massimo Bressan
2017-Nov-23 07:52 UTC
[R] assign NA to rows by test on multiple columns of a data frame
yes, it works, even if I do not really get how and why it's working the
combination of logical results (could you provide some insights for that?)
moreover, and most of all, I was hoping for a compact solution because I need to
deal with MANY columns (more than 40) in data frame with the same basic
structure as the simplified example I posted
thanks
m
----- Messaggio originale -----
Da: "Bert Gunter" <bgunter.4567 at gmail.com>
A: "Massimo Bressan" <massimo.bressan at arpa.veneto.it>
Cc: "r-help" <r-help at r-project.org>
Inviato: Mercoled?, 22 novembre 2017 17:32:33
Oggetto: Re: [R] assign NA to rows by test on multiple columns of a data frame
Do you mean like this:
mydf <- within(mydf, {
is.na(A)<- !A_flag
is.na(B)<- !B_flag
}
)
> mydf
A A_flag B B_flag
1 8 10 5 12
2 NA 0 6 9
3 10 1 NA 0
4 NA 0 1 5
5 5 2 NA 0
Cheers,
Bert
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 Wed, Nov 22, 2017 at 2:34 AM, Massimo Bressan <
massimo.bressan at arpa.veneto.it> wrote:
>
>
> Given this data frame (a simplified, essential reproducible example)
>
>
>
>
> A<-c(8,7,10,1,5)
>
> A_flag<-c(10,0,1,0,2)
>
> B<-c(5,6,2,1,0)
>
> B_flag<-c(12,9,0,5,0)
>
>
>
>
> mydf<-data.frame(A, A_flag, B, B_flag)
>
>
>
>
> # this is my initial df
>
> mydf
>
>
>
>
> I want to get to this final situation
>
>
>
>
> i<-which(mydf$A_flag==0)
>
> mydf$A[i]<-NA
>
>
>
>
> ii<-which(mydf$B_flag==0)
>
> mydf$B[ii]<-NA
>
>
>
>
> # this is my final df
>
> mydf
>
>
>
>
> By considering that I have to perform this task in a data frame with many
> columns I?m wondering if there is a compact and effective way to get the
> final result with just one ?sweep? of the dataframe?
>
>
>
>
> I was thinking to the function apply or lapply but I can not properly
> conceive how to?
>
>
>
>
> any hint for that?
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/
> posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
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