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R rename column code#

R is an amazing language and there are endless things you can do. I’m also throwing in the towel on the deprecated/superseded rename_at / rename_if / rename_all functions, since they have been replaced by select and rename_with. I didn’t have any idea how many ways there would be to rename columns when I started this, but it’s becoming evident that there are likely hundreds of ways if we count every nuance. x))Ī note: I’m going to stop interchanging names and colnames as I did previously. Rename_with(~str_replace("new_column", "old_column". Select("new_column" = ends_with("column"))

Select("new_column" = starts_with("old")) Str_replace_all("old_column", "new_column")) Using mutate to create a new column and then removing the old_column without pipes ( %>%):.Using mutate to create a new column and then removing the old_column:.Renaming in a select call without a %>%:.

You can learn more about the tidyverse here SetNames(df, replace(names(df), names(df) = 'old_column', 'new_column'))ĭf <- transform(df, new_column = old_column, old_column = NULL) Names(df) <- gsub("old_column", "new_column", colnames(df))Ĭolnames(df) <- gsub("old_column", "new_column", names(df))Įval(parse(text = 'names(df) <- "new_column"'))Įval(parse(text = 'colnames(df) <- "new_column"')) Names(df) <- gsub("old_column", "new_column", names(df)) Names(df) <- sub("old_column", "new_column", colnames(df))Ĭolnames(df) <- sub("old_column", "new_column", names(df))Ĭolnames(df) <- gsub("old_column", "new_column", colnames(df)) Names(df) <- sub("old_column", "new_column", names(df))

(I am intentionally stopping myself from more Missy Elliott references.)Ĭolnames(df) <- sub("old_column", "new_column", colnames(df)).

We can swap the first names with colnames:.

Getting a bit more abstract, we can use colnames with grepl to use regex pattern matching:.

# Create a new column called "new_column" that is an exact copy of "old_column" Then we can remove old_column from our df: Instead of renaming the column value, we can create a new column that is identical to old_column and name it new_column.

We can also use a different, and less efficient approach.

Since df only has one column, we can also call names on df:.

This returns the index of the column that is equal to “old_column”.

Call colnames on df and subset using logical indexing which.

Call names on df and subset the first column using colnames.

Call colnames on df and subset the first column using names.

Call names on df and subset the first column also using names.

Call colnames on df and subset the first column also using colnames.Ĭolnames(df) <- "new_column".

Call names on df and index the first column.

Call colnames on df and index the first column.

The following examples will only use base R, meaning no additional packages will be required to run this code. The only task accomplished in the rest of this post will be renaming a column, and some pics of my cats.Įvery example will include a ame that is called df and will contain one column named old_column that we will rename as new_column: I was trying to think of how many ways there are to do simple data cleaning tasks in R, and thought it would be fun to explore.

R rename column code#

It was hard for me to follow, and I cringe at the idea that I sent some of this old code to colleagues. I would reference a column by index and then by name. When I first starting using R, my code was a mash-up of base R, dplyr, and data.table. Not that my previous posts were intellectual thinkpieces, but I thought that I had to write about something novel or innovative to provide any level of value. Don't be afraid to share 🙏🏾- Angie Jones February 14, 2021 I ran into a basic configuration issue and couldn't find a solution online.Īfter I figured it out, I wrote a simple post with the exact error message and the solution.Įverything doesn't have to be a think piece.

I haven’t posted for a while, and came across a tweet from Angie Jones that I really related to.