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A wrapper for the proposed concentration measures

Source: R/all_comp.R
concstats_all_comp.Rd

A wrapper for the proposed concentration measures

Usage

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

Arguments

x

A non-negative numeric vector. The computation yields NA if NA values are present.

normalized

Logical. Argument specifying whether or not a normalized value is required. Must be either TRUE or FALSE. Defaults to 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 TRUE. If set to FALSE the computation yields NA if vector contains NA values.

digits

An optional value for digits. Specifies the minimum number of significant digits to be printed in values.

Value

A data.frame.

Details

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

See also

concstats_all_mstruct(), concstats_all_inequ()

Other Competition/Concentration measures: concstats_comp(), concstats_dom(), concstats_hhi(), concstats_hhi_d(), concstats_hhi_min(), concstats_sten()

Examples

# a vector of market shares
x <- c(0.35, 0.4, 0.05, 0.1, 0.06, 0.04)
concstats_all_comp(x, digits = 2)
#>        Measure Value
#> 1          HHI  0.30
#> 2     HHI(min)  0.17
#> 3    HHI(dual)  0.44
#> 4    Dominance  0.45
#> 5 Stenbacka(%) 48.12