Context Aware Random Numbers
Generate T Distributed Values
Generate Uniformly Distributed Values
Convert to function
Blueprint a Dataset
Blueprint based on a condition
Find the Default Value for n in Context
Extract the ellipsis inside a function
Check if a Number is Whole
The logit and inverse logit functions
Alternate Parametrisation of match.call()
Evaluate Expressions until not NULL
Generate Bernoulli Distributed Values
Generate Beta Distributed Values
Generate Binomial Distributed Values
Generate Cauchy Distributed Values
Generate Random Numbers Based on an arbitrary CDF
Generate Chi-Squared Distributed Values
Generate Exponentially Distributed Values
Generate F Distributed Values
Generate Gamma Distributed Values
Generate Geometric Distributed Values
Generate Hypergeometric Distributed Values
Generate Random Letters
Generate Logical Values
Generate Log Normal Distributed Values
Generate a random Matrix
Generate Negative Binomial Distributed Values
Generate Normally Distributed Values
Generate Poisson Distributed Values
Generate Random Sample
Generate Weibull Distributed Values
Context Aware Random Number Generation
Random Seed Defining Functions
Set and Get the Default Value for n
Provides random number generating functions that are much more context aware than the built-in functions. The functions are also much safer, as they check for incompatible values, and more reproducible.