shannon: Calculate Shannon's Index

In fragla/eq5d: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores

Calculate Shannon's Index

Description

Calculate Shannon's H' (diversity) index, H' max and Shannon's J' (evenness) index for an EQ-5D data set. This can be calculated both by dimension and for health states as a whole.

Usage

shannon(
  scores,
  version = NULL,
  by.dimension = TRUE,
  ignore.invalid = TRUE,
  dimensions = .get_dimension_names(),
  base = 2,
  digits = 2,
  permutations = TRUE
)

Arguments

scores	data.frame, numeric or character. For data.frame default column names should be MO, SC, UA, PD and AD representing Mobility, Self-care, Usual activities, Pain/discomfort and Anxiety/depression. Vector using five digit format can also be used.
version	string of value "3L" or "5L" to indicate instrument version.
by.dimension	boolean whether to calculate scores by EQ-5D dimensions or for the whole dataset. Defaults to TRUE.
ignore.invalid	boolean whether to ignore invalid scores. TRUE returns NA, FALSE throws an error.
dimensions	character vector, specifying "dimension" column names. Defaults are "MO", "SC", "UA", "PD" and "AD".
base	numeric base of logarithm to use. Defaults to base 2.
digits	numeric specifying the number of decimal places. Defaults to 2.
permutations	boolean whether to use maximum number of permutations for H' max or the number of observed unique profiles. Default is TRUE.

Value

a single list or list of dimensions containing H' H' max and J' scores.

Examples

dat <- read.csv(system.file("extdata", "eq5d3l_example.csv", package="eq5d"))

shannon(dat, version="3L", by.dimension=FALSE)
shannon(dat, version="3L", by.dimension=TRUE)

fragla/eq5d documentation built on April 29, 2024, 3:15 p.m.