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 <landronimirc at gmail.com>
To: r-help <r-help at 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
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