![]() Orange_df = Orange %>% rename_all(funs(str_replace_all(., "e", "E"))) This is accomplished by using rename_all() function along with str_replace_all() Function as shown below. In our Example we will rename the Column which has “e” as “E” for all the occurrences. ![]() Renaming all the occurrences of a column which satisfies the specific pattern can be done using rename_all() function followed by pattern and followed by replacement character. Rename all the occurrence of a column using rename_all() function Rename the column name “age” with “tree_life” Orange_df = Orange %>% rename_if(is.numeric, funs(str_replace(., "age", "tree_life"))) This is accomplished by using rename_if() function along with is.numeric() and str_replace() Function as shown below. In our Example we will rename the Column only if it is numeric. Renaming a specific column which satisfies certain condition can be done using rename_if() function. ![]() Rename a column with condition using rename_if() function in dplyr R: Rename the column name “Tree” with “Tree_Type” Orange_df = Orange %>% rename_at(vars(starts_with("T")),įuns(str_replace(., "Tree", "Tree_Type"))) This is accomplished by using rename_at() function along with str_replace() Function as shown below. In our Example we will rename the Column that starts with “T”. Rename a specific column that starts with certain character. Rename like using rename_at() function dplyr R: Rename the column name “age” with “Life_of_tree” Orange_df = Orange %>% rename(Life_of_tree = age) rename() function takes following rename condition new_name = old_name. Rename the column name using rename function along with pipe operator in dplyr. # Rename multiple columns of the dataframe at once we will be passing the column names to be replaced in a vector as shown below. rename() function takes dataframe as argument followed by new_name = old_name. Renaming the multiple columns at once can be accomplished using rename() function. Rename Multiple column at once using rename() function: Rename the column name “age” with “Life_of_tree”. Orange_df = rename(Orange, Life_of_tree = age) # Rename the column name of the dataframe Rename the column name using rename function in dplyr. Rename the column name in R using rename() function : # to specify multiple variables/columns, we simply add a comma after the first rename and keep going.We will be using Orange data to depict the rename of column variable. grocerylist <- rename(weeds, coopers = "flowers", asahi = "species", vb = "soil", littlecreatures = "weeds") For demonstrating purposes, I am going to rename all the columns of weeds to nonsensical crap. If you want to rename multiple columns, this is a pretty simple addition. # Again, if you run this by itself it will not save to your data frame, unless you direct it to your data frame variable using the <. # In the brackets we need to specify our data frame (weeds) followed by a second argument specifying the name we want for our column = the name we already have. To do this with dplyr (a tidyverse package) we simply use the following command: weeds <- rename(weeds, flowers = flowers.m3) Trust me, when you spend an hour trying to fix a line of code only to find a single capital letter is missing, you will understand. Personally, this is my favourite function in R as I hate captials, fullstops and other annoying column name problems that slow down coding or generate errors. The rename() function allows us to simply rename a column name within our data frame. This will happen ALOT with data you enter or obtain from others, as R converts any spaces to fullstops and people tend to capitilise most words. Built with the "Learn" Theme using Hugo and Blogdownīy now, if you are like me, you are probably getting annoyed at writing “flowers.m3” or “species.richness” everytime you need to refer to one of those columns.
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