rcat.b1: Random Sample from Base 1 (rcat.b1) or Base 0 (rcat.b0)...

In simcausal: Simulating Longitudinal Data with Causal Inference Applications

Random Sample from Base 1 (rcat.b1) or Base 0 (rcat.b0) Categorical (Integer) Distribution

Description

Same as , but returning a vector of sampled integers with range 1, 2, ..., ncol(probs)+1 for rcat.b1 or range 0, 1, ..., ncol(probs) for rcat.b0. For sampling categorical factors see rcat.factor.

Usage

rcategor.int(n, probs)

rcat.b1(n, probs)

rcat.b0(n, probs)

Arguments

n	Sample size.
probs	Either a vector or a matrix of success probabilities. When probs is a vector, n identically distributed random categorical variables are generated. When probs is a matrix, the categorical probabilities of the kth sample are determined by the kth row of probs matrix, i.e., probs[k,].

Value

An integer vector of length n with range either in 0,...,ncol(probs) or in 1,...,ncol(probs)+1.

Functions

• rcategor.int(): (Deperecated) Random Sample from Base 1 Categorical (Integer) Distribution

• rcat.b1(): Random Sample from Base 1 Categorical (Integer) Distribution

• rcat.b0(): Random Sample from Base 0 Categorical (Integer) Distribution

See Also

rcat.factor

simcausal documentation built on Oct. 19, 2024, 5:08 p.m.