A wrapper for the proposed inequality measures

A wrapper for the proposed inequality measures

Usage

concstats_all_inequ(x, normalized = FALSE, na.rm = TRUE, digits = NULL)

Arguments

x

A non-negative numeric vector.

normalized

Logical. Argument specifying whether or not a normalized value is required. Must be either TRUE or FALSE. The default is FALSE.

na.rm

A logical vector that indicates whether NA values should be excluded or not. Must be either TRUE or FALSE. The default is FALSE. If set to FALSE the computation yields NA if NA values are present.

digits

A non-null value for digits specifies the minimum number of significant digits to be printed in values. The default is NULL and will use base R print option. Significant digits defaults to 7.

Value

A data.frame.

Details

concstats_all_inequ returns all proposed group measures in a one step procedure with default settings if not otherwise specified.

See also

concstats_all_mstruct(), concstats_all_comp()

Other Concentration and inequality measures: concstats_entropy(), concstats_gini(), concstats_grs(), concstats_inequ(), concstats_palma(), concstats_simpson()

Examples

# a vector of market shares
x <- c(0.35, 0.4, 0.05, 0.1, 0.06, 0.04)
concstats_all_inequ(x, digits = 2)
#>         Measure Value
#> 1       Entropy  2.04
#> 2    Gini Index  0.46
#> 3 Simpson Index  0.70
#> 4   Palma Ratio  2.67
#> 5           GRS  0.40