Change column name by looking up
I know that I can change a data.frame column name by:
colnames(df)[3] <- "newname"
But there might be cases where the column I want to change is not in the 3rd position. Is there a way to look up the column by name and change it? Like this...
colnames(df)[,"oldname"] <- "newname"
B开发者_Go百科TW, I have tried this code and I keep getting incorrect number of subscripts on matrix
.
Thanks.
colnames(df)[colnames(df)=="oldname"] <- "newname"
or just names
names(df)[names(df)=="oldname"] <- "newname"
There are various functions for renaming columns in packages as well.
colnames(df)[colnames(df)=="oldname"] <- "newname"
or
names(df)[names(df)=="oldname"] <- "newname"
(since names
and colnames
are equivalent for a data frame)
or you might be looking for
library(reshape)
df <- rename(df,c(oldname="newname"))
I was using package data.table
today and when I tried to change a column name using my usual method a message appeared recommending this approach:
library(data.table)
df <- read.table(text= "
region state county
1 1 1
1 2 2
1 2 3
2 1 4
2 1 4
", header=TRUE, na.strings=NA)
df
setnames(df, "county", "district")
df
A somewhat more general approach that will replace all of the "old"s at the beginning of any current name with "new" in the same character location:
names(df) <- sub("^old", "new", names(df) )
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