The fictitious data below should be binary, meaning almost all answers should be coded 0=no and 1=yes, or 0=female and 1=male.
Sorry for bothering with something so obvious, but here is my problem still. rename() changes the names of individual variables using newname oldname syntax renamewith() renames columns using a function. In this example, we will rename the column name using the addSufix and.
As I’ve written about several times, dplyr and several other packages from R’s Tidyverse (like tidyr and stringr ), have the best tools for core data manipulation tasks. Method 4: Rename column names using DataFrame addprefix () and addsuffix () functions. Let’s have a look how the data looks like: In my opinion, the best way to rename variables in R is by using the rename () function from dplyr.
#Rename column r how to#
For further illustration, I’m going to show you in the following tutorial how to rename a column in R, based on 3 reproducible examples.įor the following examples, I’m going to use the iris data set.
#Rename column r code#
However, depending on your specific data situation, a different R syntax might be needed.ĭo you need to change only one column name in R? Would you like to rename all columns of your data frame? Or do you want to replace some variable names of your data, but keep the other columns like they are?Ībove, you can find the basic R code for these three data situations. Colnames (data ) <- "New_Name" # Change colnames of all columnsĬolnames (data ) <- c ( "New_Name1", "New_Name2", "New_Name3" ) # Change colnames of some columnsĬolnames (data ) <- c ( "New_Name1", "New_Name2" )Ĭolnames(data) <- "New_Name"Ĭolnames(data) <- c("New_Name1", "New_Name2", "New_Name3")Ĭolnames(data) <- c("New_Name1", "New_Name2")Īs R user you will agree: To rename column names is one of the most often applied data manipulations in R.
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