R select_all() Function from dplyr

R select_all() Function from dplyr

R dplyr::select_all() function is used for selecting all columns from a data frame or tibble, often with the added capability to modify the names of these columns. The select_all() function, along with other scoped select variants (select_if(), select_at()), has been superseded by rename_with() in combination with select(). However, this function still exists in many codebases … Read more

R summarise_if() Function from dplyr

R summarise_if() Function from dplyr

The dplyr::summarise_if() function is used to summarise specific columns in a data frame or tibble based on a specified condition. It applies the given summary functions to the columns for which the condition is TRUE. This method is superseded by the across() function within summarise(). However, it is still commonly used in existing code. The … Read more

R summarise_at() Function from dplyr

R summarise_at() Function from dplyr

The dplyr::summarise_at() function in R is used for summarizing multiple columns in a data frame or tibble using specified summary functions. The summarise_at() and other scoped variants (summarise_if(), summarise_all()) are superseded by across() in combination with summarise(). However, they are still widely used in existing codebases. This method is often used with the %>% operator … Read more

R summarise_all() Function from dplyr

R summarise_all() Function from dplyr

The dplyr::summarise_all() function is used to apply a summary function (like mean, sum, median, etc.) to every column in a data frame or tibble. In recent versions of the dplyr package, the scoped verbs such as _if, _at, and _all have been superseded by more flexible alternatives like across() in combination with pick(), select(), mutate(), summarise(), … Read more

R select() Function from dplyr

R select() Function from dplyr

The dplyr::select() function lets you quickly and easily choose specific columns from a data frame or tibble, either to keep or to drop, based on their names or other selection criteria. You can specify which columns to keep and reorder columns, and you can utilize tidy-select helpers like starts_with(), ends_with(), contains(), matches(), everything(), and others … Read more

R if_any() Function from dplyr

R if_any() Function from dplyr

R if_any() function from the dplyr package is used within row-wise operations such as filter() and mutate(). It checks if any specified conditions are TRUE for each row across the selected columns. Syntax if_any(.cols, .fns, …) Parameters Name Description .cols Columns to apply the conditions to are selected using tidy-select semantics. .fns Functions or conditions … Read more

R if_all() Function from dplyr

R if_all() Function from dplyr

The dplyr::if_all() function in R is used within row-wise operations like filter() and mutate() to apply conditions across multiple columns.  This function assesses whether all specified conditions are true for each row across selected columns. Columns are chosen using tidy-select semantics, which can be used in across(). Syntax data_frame %>% filter(if_all(column_selection, predicate_function)) Parameters Name Description … Read more

R select_if() Function from dplyr

R select_if() Function from dplyr

The dplyr::select_if() function selects columns from a data frame or tibble based on a specified condition. It allows you to choose columns dynamically based on whether they meet a specific criterion. This function selects columns from a data frame or tibble where a specified predicate function returns TRUE. This is helpful when dynamically selecting columns … Read more

R mutate_if() Function from dplyr

R mutate_if() Function from dplyr

The mutate_if() function in R is used for the conditional transformation of columns in a data frame or tibble. It applies a specified function to each column that meets a specific condition. This function allows you to selectively mutate columns based on a predicate, which is a function that returns TRUE or FALSE. Columns for … Read more

R mutate_all() Function from dplyr

R mutate_all() Function from dplyr

The mutate_all() function in R is used to apply a transformation to all columns in a data frame or tibble.  This function is a scoped variant of mutate() and is especially handy for datasets where a uniform transformation needs to be applied to all columns. Syntax mutate_all(.tbl, .funs, …) Parameters Name Description .tbl It is … Read more