data_prob2: Probability/Frequency Matrix Generation

Description

Generates a nrow × ncol matrix with probabilities / frequencies. If data is given it will be normalized such that sum(data[is.finite(data)])==1. If no rownames or colnames are given then event names from LETTERS are used. The returned matrix will have the following attributes:

marginals a list of the row and column marginal distributions
byrow a matrix with conditional probabilities by row
bycol a matrix with conditional probabilities by column
expected a matrix with the expected probabilities under independence
prob a vector of all the probabilities computed (except the expected ones)

Usage

data_prob2(
  data = NULL,
  nrow = 2,
  ncol = 2,
  colnames = NULL,
  rownames = NULL,
  ...
)
prob_mx(data = NULL, nrow = 2, ncol = 2, colnames = NULL, rownames = NULL, ...)
dprob2(data = NULL, nrow = 2, ncol = 2, colnames = NULL, rownames = NULL, ...)

Value

A matrix and some attributes.

Arguments

data: an optional data vector. Non-atomic classed R objects are coerced by as.vector and all attributes are discarded.
nrow: numeric: desired number of rows (default: 2)
ncol: numeric: desired number of columns (default: 2)
colnames: character: names of column events
rownames: character: names of row events
...: further parameters given to ddiscrete()

Examples

Run this code

x <- data_prob2()
str(x)
data_prob2(colnames="E")
data_prob2(nrow=3)

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