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Scoped verbs


suffix use when
_all you want to apply the verb to all columns
_at you want to apply the verb to specified columns
_if you want to apply the verb to all the columns with some property


mutate(), summarize(), select(), and rename()

Named functions

Verb Example Example explanation
summarize_all summarize_all(mean) finds the mean of all variables
summarize_at summarize_at(vars(x, y), mean) finds the mean of variables x and y
summarize_if summarize_if(is.double, mean) finds the mean of all double variables
mutate_all mutate_all(as.character) converts all variables to characters
mutate_at mutate_at(vars(x, y), as.character) converts variables x and y to characters
mutate_if mutate_if(is.factor, as.character) converts all factor variables to characters
rename_all rename_all(str_to_lower) changes all column names to lowercase
rename_at rename_at(vars(X, Y), str_to_lower) changes the names of columns X and Y to x and y
rename_if rename_if(is.double, str_to_lower) changes the names of double columns to lowercase
select_all select_all(str_to_lower) selects all columns and changs their names to lowercase (better to use rename_all())
select_at select_at(vars(X, Y), str_to_lower) selects just columns X and Y and changes their names to x and y
select_if select_if(is.double, str_to_lower) selects just double columns and changes their names to lowercase

Extra arguments

verb example example_explanation
summarize_if summarize_if(is.double, mean, na.rm = TRUE) finds the mean, excluding NAs, of all double variables
summarize_all summarize_all(mean, trim = 0.1, na.rm = TRUE) finds the mean of all variables, exluding NAs. Removes the bottom and top 10% of values of each variable before computing mean

Anonymous functions

verb example example_explanation
summarize_all summarize_all(~ sum( determines the number of NAs in each column
select_if select_if(~ n_distinct(.) > 1) selects only the columns with more than one distinct value


verb example example_explanation
filter_all filter_all(all_vars(! finds rows without any NAs
filter_all filter_all(any_vars(! finds rows with at least one non-NA value
filter_at filter_at(vars(x, y), all_vars(! finds rows where both x and y are non-NA
filter_at filter_at(vars(x, y), any_vars(! finds rows where at least one of x and y is non-NA
filter_if filter_if(is.double, all_vars(! finds rows where all double variables are non-NA
filter_if filter_if(is.double, any_vars(! finds rows where at least one double variable is non-NA
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