cube_df_: Create a data cube and store it in a data frame

In gibonet/cuber: Tools to Create Data Cubes

Create a data cube and store it in a data frame

Description

Create a data cube and store it in a data frame

Usage

cube_df_(
  .data,
  .vars,
  sep = ".",
  fun_list = list(n = ~nrow(.data)),
  .total = "Totale",
  ...
)

Arguments

.data	a data frame.
.vars	character vector with the names of the columns for which the data frame will be divided.
sep	a character string to separate the terms.
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.
.total	character string with the value to give to the "total" combinations (default: "Totale")
...	additional optional arguments passed to res2df (estimator_name and value).

Value

data frame containing the estimates for each combination of variables.

Examples

data(invented_wages)
str(invented_wages)

# First create a list of function calls (with formulas) and
# a vector with names of the desired variables
fun <- list(m1 = ~weighted.mean(wage, sample_weights), s = ~sum(sample_weights))
vars <- c("gender", "sector")

# And then create the data cube, with the estimates of all the combinations
# of variables
cube_df_(invented_wages, .vars = vars, fun_list = fun)
cube_df_(invented_wages, .vars = vars, fun_list = fun, 
         estimator_name = "statistica", value = "stima")

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