Dear Liviu, May be you can use the method mentioned in the link: http://stackoverflow.com/questions/10404224/how-to-delete-a-row-from-a-data-frame-without-losing-the-attributes
str(Xa) #'data.frame': 150 obs. of 5 variables: # $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... # $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... # $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... # $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... # $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ... # - attr(*, "label")= chr "Some df label" Xc<- cbind(Xa,Xb) as.data.frame.avector <-as.data.frame.vector `[.avector` <- function(x,i,...) { r <- NextMethod("[") mostattributes(r) <- attributes(x) r } mostattributes(Xc)<- attributes(Xa) str(Xc) #'data.frame': 150 obs. of 7 variables: # $ : num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... # $ : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... # $ : num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... # $ : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... # $ : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ... # $ : num 5 5 5 5 5 5 5 5 4 5 ... # $ : num 4 3 3 3 4 4 3 3 3 3 ... # - attr(*, "label")= chr "Some df label" A.K. ----- Original Message ----- From: Liviu Andronic <landronim...@gmail.com> To: arun <smartpink...@yahoo.com> Cc: R help <r-help@r-project.org> Sent: Friday, April 19, 2013 8:13 AM Subject: Re: [R] avoid losing data.frame attributes on cbind() Dear Arun, On Tue, Apr 16, 2013 at 10:45 PM, arun <smartpink...@yahoo.com> wrote: > Another method would be: > Xc<- Xa > Xc$var1<-NA; Xc$var2<- NA > Xc[]<- append(as.list(Xa),as.list(Xb)) > Unfortunately this is still too convoluted and error prone. And mutate() doesn't work for me, as I generate the new vars elsewhere. So is there no other clean way to append several new variables to a data frame, without losing its attributes? Regards, Liviu > str(Xc) > #'data.frame': 150 obs. of 7 variables: > # $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... > # $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... > # $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... > # $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... > # $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 > 1 1 1 ... > # $ var1 : num 5 5 5 5 5 5 5 5 4 5 ... > # $ var2 : num 4 3 3 3 4 4 3 3 3 3 ... > # - attr(*, "label")= chr "Some df label" > A.K. > > > > ----- Original Message ----- > From: arun <smartpink...@yahoo.com> > To: Liviu Andronic <landronim...@gmail.com> > Cc: R help <r-help@r-project.org> > Sent: Tuesday, April 16, 2013 2:40 PM > Subject: Re: [R] avoid losing data.frame attributes on cbind() > > HI, > Not sure if this helps: > library(plyr) > res<-mutate(Xa,var1=round(Sepal.Length),var2=round(Sepal.Width)) > str(res) > #'data.frame': 150 obs. of 7 variables: > # $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... > # $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... > # $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... > # $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... > # $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 > 1 1 1 ... > # $ var1 : num 5 5 5 5 5 5 5 5 4 5 ... > # $ var2 : num 4 3 3 3 4 4 3 3 3 3 ... > #- attr(*, "label")= chr "Some df label" > A.K. > > > > ----- Original Message ----- > From: Liviu Andronic <landronim...@gmail.com> > To: r-help <r-h...@stat.math.ethz.ch> > Cc: > Sent: Tuesday, April 16, 2013 2:24 PM > Subject: [R] avoid losing data.frame attributes on cbind() > > Dear all, > How should I add several variables to a data frame without losing the > attributes of the df? Consider the following: >> require(Hmisc) >> Xa <- iris >> label(Xa, self=T) <- "Some df label" >> str(Xa) > 'data.frame': 150 obs. of 5 variables: > $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... > $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... > $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... > $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... > $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 > 1 1 1 1 1 1 ... > - attr(*, "label")= chr "Some df label" >> Xb <- round(iris[,1:2]) >> names(Xb) <- c("var1",'var2') >> Xc <- cbind(Xa, Xb) >> #the attribute is now gone >> str(Xc) > 'data.frame': 150 obs. of 7 variables: > $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... > $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... > $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... > $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... > $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 > 1 1 1 1 1 1 ... > $ var1 : num 5 5 5 5 5 5 5 5 4 5 ... > $ var2 : num 4 3 3 3 4 4 3 3 3 3 ... > > > In such cases, when I want to plug some variables from 2nd df into the > 1st df, how should I proceed without losing the attributes of the 1st > data frame. And, if possible, I'm looking for something nicer than: > for(i in names(Xb)) Xa[ , i] <- Xb[ , i] > > Regards, > Liviu > > ______________________________________________ > R-help@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. -- Do you know how to read? http://www.alienetworks.com/srtest.cfm http://goodies.xfce.org/projects/applications/xfce4-dict#speed-reader Do you know how to write? http://garbl.home.comcast.net/~garbl/stylemanual/e.htm#e-mail ______________________________________________ R-help@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.