[R] How do I delete a row from a data frame when varA == "TRUE"

Uwe Ligges ligges at statistik.tu-dortmund.de
Wed Jul 22 10:02:32 CEST 2009



Daniel Malter wrote:
> XYZ=XYZ[XYZ$A==TRUE , ]


install.packages("fortunes")
library("fortunes")
fortune("==TRUE")


Uwe Ligges


 > should do. Note that this specific command
> overwrites your XYZ dataframe. If you want to keep XYZ, you will want to
> name the newly created frame differently.
> 
> HTH,
> Daniel
> 
> -------------------------
> cuncta stricte discussurus
> -------------------------
> 
> -----Ursprüngliche Nachricht-----
> Von: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Im
> Auftrag von kxk
> Gesendet: Wednesday, July 22, 2009 12:24 AM
> An: r-help at r-project.org
> Betreff: [R] How do I delete a row from a data frame when varA == "TRUE"
> 
> 
> I want to delete a row from a data frame XYZ where A == "TRUE".  Let's
> assume there are five variables in this data frame XYZ.  My deletion is
> based on the TRUE vs. FALSE value under variable A.  How do I do this?
> Thanks!
> 
> My current code: 
> for (i in 1:length(XYZ$A)) if (XYZ$A == "FALSE") XYZ<-XYZ else XYZ<-
> XYZ[-i,]
> 
> Error message is:
> Error in if (XYZ$A == "FALSE") XYZ<-XYZ else XYZ<- XYZ[-i,  : 
>   missing value where TRUE/FALSE needed
> 
> 
> Please help!!
> --
> View this message in context:
> http://www.nabble.com/How-do-I-delete-a-row-from-a-data-frame-when-varA-%3D%
> 3D-%22TRUE%22-tp24599876p24599876.html
> Sent from the R help mailing list archive at Nabble.com.
> 
> ______________________________________________
> R-help at r-project.org mailing list
> 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.
> 
> ______________________________________________
> R-help at r-project.org mailing list
> 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.




More information about the R-help mailing list