I am trying to rename a variable over several data frames, but assign wont work. Here is the code I am trying
assign(colnames(eval(as.name(DataFrameX)))[[3]], "<- NewName")
# The idea is, go through every dataset, and change the name of column 3 to
# "NewName" in all of them
This won't return any error (All other versions I could think of returned some kind of error), but it doesn't change the variable name either.
I am using a loop to create several data frames and different variables within each, now I need to rename some of those variables so that the data frames can be merged in one at a later stage. All that works, except for the renaming. If I input myself the names of the dataframe and variables in a regular call with colnames(DF)[[3]] <- "NewName"
, but somehow when I try to use assign so that it is done in a loop, it doesn't do anything.
Here is what you can do with a loop over all data frames
in your environment. Since you are looking for just data frame
in your environment, you are immune of the risk to touch any other variable. The point is that you should assign
new changes to each data frame
within the loop.
df1 <- data.frame(q=1,w=2,e=3)
df2 <- data.frame(q=1,w=2,e=3)
df3 <- data.frame(q=1,w=2,e=3)
# > df1
# q w e
# 1 1 2 3
# > df2
# q w e
# 1 1 2 3
# > df3
# q w e
# 1 1 2 3
DFs=names(which(sapply(.GlobalEnv, is.data.frame)))
for (i in 1:length(DFs)){
df=get(paste0(DFs[i]))
colnames(df)[3]="newName"
assign(DFs[i], df)
}
# > df1
# q w newName
# 1 1 2 3
# > df2
# q w newName
# 1 1 2 3
# > df3
# q w newName
# 1 1 2 3
We could try ?eapply()
to apply setnames()
from the data.table
package to all data.frame's in your global enviromnent.
library(data.table)
eapply(.GlobalEnv, function(x) if (is.data.frame(x)) setnames(x, 3, "NewName"))