concstats_comp {concstats} | R Documentation |
A set of different concentration measures.
concstats_comp(x, normalized = FALSE, type = c("hhi", "hhi_d", "hhi_min",
"dom", "sten", "all"), na.rm = TRUE, digits = NULL)
x |
A non-negative numeric vector. |
normalized |
Logical. Argument specifying whether or not a normalized
value is required. Ranges from (0, 1) and often used for comparison over
time. Must be either |
type |
A character string of the measure to be calculated, can be abbreviated with the first letter. Defaults to "hhi". Input is not case-sensitive. |
na.rm |
A logical vector that indicates whether |
digits |
A non-null value for digits specifies the minimum number of
significant digits to be printed in values. The default is |
concstats_comp
is a wrapper for the proposed concentration measures
concstats_hhi()
, concstats_hhi_d()
, concstats_dom()
,
concstats_hhi_min()
, concstats_sten()
, concstats_all_comp()
.
If no measure is specified "hhi" will be the default.
concstats_hhi
, can be calculated individually as a normalized
measure changing the default setting to TRUE
.
concstats_all_comp
computes all measures in a one step procedure.
For more details or references please see the help page of the respective
function.
A single numeric measure in decimal form or data frame
.
The vector of market shares should be in a decimal form corresponding to total shares of individual firms/units. The vector should sum up to 1.
concstats_concstats()
, concstats_mstruct()
, concstats_inequ()
# a vector of market shares
x <- c(0.35, 0.4, 0.05, 0.1, 0.06, 0.04)
# the Herfindahl-Hirschman index of the vector
concstats_comp(x, type = "hhi")
# individual measure
concstats_sten(x)
# complete group measures
concstats_comp(x, type = "all", digits = 2)