binomialmoments: Compute Moments of Binomial Probability Mass Functions.

In betafunctions: Functions for Working with Two- And Four-Parameter Beta Probability Distributions and Psychometric Analysis of Classifications

Compute Moments of Binomial Probability Mass Functions.

Description

Computes Raw, Central, or Standardized moment properties of defined Binomial probability mass functions.

Usage

binomialmoments(n, p, types = c("raw", "central", "standardized"), orders = 4)

Arguments

n	Number of Binomial trials
p	Probability of success per trial.
types	A character vector determining which moment-types are to be calculated. Permissible values are "raw", "central", and "standardized".
orders	The number of moment-orders to be calculated for each of the moment-types.

Value

A list of moment types, each a list of moment orders.

Examples

# Assume some variable follows a Binomial distribution with number of trials
# equal to 100 and a probability of success on each trial of 0.75. To compute
# the first four raw, central, and standardized moments of this distribution
# using binomialmoments():
binomialmoments(n = 100, p = 0.75, types = c("raw", "central",
"standardized"), orders = 4)

# To only compute the (e.g.) standardized moments:
binomialmoments(n = 100, p = 0.75, types = "standardized")

# To compute moments beyond the fourth order (e.g., the sixth):
binomialmoments(n = 100, p = 0.75, orders = 6)

betafunctions documentation built on May 29, 2024, 1:13 a.m.