add value to multiple columns in R











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0
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I want to update my dataframe adding value in various columns.



My dataframe has A-Z columns name.
I created a list specifiying which column want to update.



upd<-c("a","b","c","d")


And i used simple R syntax to update



df<-df[,names(df)%in%upd]+5


But I only have a,b,c,d columns.



is there one way to save all columns?.



thanks






r







share|improve this question
























  • Try df[,names(df) %in% upd] <- df[,names(df) %in% upd] + 5
    – markus
    Nov 7 at 12:30










  • @markus thanks mate it works! is this way efficient?
    – liguang
    Nov 7 at 12:32












  • That is pretty straight forward, no?
    – markus
    Nov 7 at 12:35










  • @markus yes thanks!
    – liguang
    Nov 7 at 12:36






  • 1




    or for readability, but slower : library(dplyr); df <- mutate_at(df, upd, ~.+5)
    – Moody_Mudskipper
    Nov 7 at 12:43















up vote
0
down vote

favorite












I want to update my dataframe adding value in various columns.



My dataframe has A-Z columns name.
I created a list specifiying which column want to update.



upd<-c("a","b","c","d")


And i used simple R syntax to update



df<-df[,names(df)%in%upd]+5


But I only have a,b,c,d columns.



is there one way to save all columns?.



thanks






r







share|improve this question
























  • Try df[,names(df) %in% upd] <- df[,names(df) %in% upd] + 5
    – markus
    Nov 7 at 12:30










  • @markus thanks mate it works! is this way efficient?
    – liguang
    Nov 7 at 12:32












  • That is pretty straight forward, no?
    – markus
    Nov 7 at 12:35










  • @markus yes thanks!
    – liguang
    Nov 7 at 12:36






  • 1




    or for readability, but slower : library(dplyr); df <- mutate_at(df, upd, ~.+5)
    – Moody_Mudskipper
    Nov 7 at 12:43













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I want to update my dataframe adding value in various columns.



My dataframe has A-Z columns name.
I created a list specifiying which column want to update.



upd<-c("a","b","c","d")


And i used simple R syntax to update



df<-df[,names(df)%in%upd]+5


But I only have a,b,c,d columns.



is there one way to save all columns?.



thanks






r







share|improve this question















I want to update my dataframe adding value in various columns.



My dataframe has A-Z columns name.
I created a list specifiying which column want to update.



upd<-c("a","b","c","d")


And i used simple R syntax to update



df<-df[,names(df)%in%upd]+5


But I only have a,b,c,d columns.



is there one way to save all columns?.



thanks






r




r






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 7 at 12:30

























asked Nov 7 at 12:23









liguang

96




96












  • Try df[,names(df) %in% upd] <- df[,names(df) %in% upd] + 5
    – markus
    Nov 7 at 12:30










  • @markus thanks mate it works! is this way efficient?
    – liguang
    Nov 7 at 12:32












  • That is pretty straight forward, no?
    – markus
    Nov 7 at 12:35










  • @markus yes thanks!
    – liguang
    Nov 7 at 12:36






  • 1




    or for readability, but slower : library(dplyr); df <- mutate_at(df, upd, ~.+5)
    – Moody_Mudskipper
    Nov 7 at 12:43


















  • Try df[,names(df) %in% upd] <- df[,names(df) %in% upd] + 5
    – markus
    Nov 7 at 12:30










  • @markus thanks mate it works! is this way efficient?
    – liguang
    Nov 7 at 12:32












  • That is pretty straight forward, no?
    – markus
    Nov 7 at 12:35










  • @markus yes thanks!
    – liguang
    Nov 7 at 12:36






  • 1




    or for readability, but slower : library(dplyr); df <- mutate_at(df, upd, ~.+5)
    – Moody_Mudskipper
    Nov 7 at 12:43
















Try df[,names(df) %in% upd] <- df[,names(df) %in% upd] + 5
– markus
Nov 7 at 12:30




Try df[,names(df) %in% upd] <- df[,names(df) %in% upd] + 5
– markus
Nov 7 at 12:30












@markus thanks mate it works! is this way efficient?
– liguang
Nov 7 at 12:32






@markus thanks mate it works! is this way efficient?
– liguang
Nov 7 at 12:32














That is pretty straight forward, no?
– markus
Nov 7 at 12:35




That is pretty straight forward, no?
– markus
Nov 7 at 12:35












@markus yes thanks!
– liguang
Nov 7 at 12:36




@markus yes thanks!
– liguang
Nov 7 at 12:36




1




1




or for readability, but slower : library(dplyr); df <- mutate_at(df, upd, ~.+5)
– Moody_Mudskipper
Nov 7 at 12:43




or for readability, but slower : library(dplyr); df <- mutate_at(df, upd, ~.+5)
– Moody_Mudskipper
Nov 7 at 12:43

















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