![]() If a column is not found, it returns a warning.ġ. Similarly, use -ends_with() to remove variables that end with a text, the following examples remove name and price columns as they end with the letter e.įinally, use the one_of() function to check if the column exists and then remove it from the data frame only when exists. The following example removes the column chapters as it starts with character c. Use -starts_with() to ignore columns that start with a text. This function also takes a list of values to check contains. ![]() The following example removes the column chapters as it contains text apt. Use -contains() to ignore columns that contain text. The same function can also be used to remove variables by name range. This pipe can be used to write multiple operations that you can read left-to-right. For example, x %>% f(y) converted into f(x, y) so the result from left-hand side is then “piped” into the right-hand side.
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