apply_df_: Apply a list of function calls to a data frame and return the...

In gibonet/cuber: Tools to Create Data Cubes

Apply a list of function calls to a data frame and return the results in a data frame

Description

Apply a list of function calls to a data frame and return the results in a data frame

Usage

apply_df_(.data, fun_list = list(n = ~nrow(.data)), ...)

Arguments

.data	a data frame.
fun_list	a named list of formulas with the desired function calls to be evalutated on the data frame. The default value (list(n = ~nrow(.data))) returns the number of rows (observations) and stores it in a column named n.
...	additional optional arguments passed to apply_to_df_ (estimator_name and value). @examples data(invented_wages) str(invented_wages) # First create a list of function calls (with formulas) fun <- list(m1 = ~weighted.mean(wage, sample_weights), s = ~sum(sample_weights)) # And then apply them to the data apply_df_(invented_wages, fun_list = fun)

gibonet/cuber documentation built on Dec. 24, 2024, 5:17 p.m.