observedmoments

0th

Percentile

Compute Moments of Observed Value Distribution.

Computes Raw, Central, or Standardized moment properties of a vector of observed scores.

Usage
observedmoments(
  x,
  type = c("raw", "central", "standardized"),
  orders = 4,
  correct = TRUE
)
Arguments
x

A vector of values, the distribution of which moments are to be calculated.

type

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.

correct

Whether to include bias correction in estimation of orders. Default is TRUE.

Value

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

Aliases
  • observedmoments
Examples
# NOT RUN {
# Generate some fictional data. Say, 100 individuals take a test with a
# maximum score of 100 and a minimum score of 0.
set.seed(1234)
testdata <- rbinom(100, 100, rBeta.4P(100, .25, .75, 5, 3))
hist(testdata, xlim = c(0, 100))

# To compute the first four raw, central, and standardized moments for this
# distribution of observed scores using observedmoments():
observedmoments(x = testdata, type = c("raw", "central", "standardized"),
orders = 4, correct = TRUE)
# }
Documentation reproduced from package betafunctions, version 1.2.2, License: CC0

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