Learn R Programming

discreteRV (version 1.2.2)

Create and Manipulate Discrete Random Variables

Description

Create, manipulate, transform, and simulate from discrete random variables. The syntax is modeled after that which is used in mathematical statistics and probability courses, but with powerful support for more advanced probability calculations. This includes the creation of joint random variables, and the derivation and manipulation of their conditional and marginal distributions.

Copy Link

Version

Install

install.packages('discreteRV')

Monthly Downloads

111

Version

1.2.2

License

GPL-3

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/erichare/discreteRV

Maintainer

Last Published

September 16th, 2015

Functions in discreteRV (1.2.2)

Variance of a random variable

Tests whether the random variables X and Y are independent

Marginal distribution of a joint random variable

Turn a probability vector with possible outcome values in the 'names()' attribute into a random variable:

Make a joint random variable consisting

Kurtosis of a random variable

Calculate probabilities of events

Marginal distributions of a joint random variable

Joint probability mass function of random variables X and Y

Print a random variable of class "RV"

Skewness of a random variable

Skew of the empirical distribution of simulated data

Normal quantile plot for RVs to answer the question how close to normal it is

Plot a random variable of class "RV"

Proportions of observed outcomes in one or more vectors of simulated trials

Proportion of an event observed in a vector of simulated trials

Compute the logical OR of two events

Compute the logical AND of two events

Make a random variable consisting of possible outcome values and their probabilities or odds

Probability mass function of X^n

Simulate n independent trials from a random variable X:

Sum of independent random variables

Outcomes of random variable X

Sum of independent identically distributed random variables

Plot a simulated random vector

Probability mass function of random variable X

Generic method for in operator function

Standard deviation of a random variable

Expected value of a random variable