# prob v1.0-1

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## Elementary Probability on Finite Sample Spaces

A framework for performing elementary probability calculations on finite sample spaces, which may be represented by data frames or lists. Functionality includes setting up sample spaces, counting tools, defining probability spaces, performing set algebra, calculating probability and conditional probability, tools for simulation and checking the law of large numbers, adding random variables, and finding marginal distributions. Characteristic functions for all base R distributions are included.

## Functions in prob

 Name Description union Union of Subsets urnsamples Sampling from Urns is.probspace Testing for a Probability Space prob-package Elementary Probability on Finite Sample Spaces permsn Generate All Permutations of x Elements Taken m at a Time intersect Intersection of Subsets subset Subsets of Probability Spaces isrep Is Repeated in a Vector isin Test Whether One Vector Is In Another Vector tosscoin Tossing a Coin prob Probability and Conditional Probability probspace Probability Spaces addrv Adding Random Variables to a Probability Space rolldie Rolling a Die marginal Marginal Distributions roulette Roulette nsamp Number of Samples from an Urn setdiff Set Difference of Subsets sim Simulate Draws from a Sample Space euchredeck A Deck of Playing Cards for Euchre countrep Count Repetitions empirical Empirical Summary of a Simulation CharFunc Characteristic functions genIndepTable Generate Independent Two-way Table genXdata Generate continuous model matrix data genLogRegData Generate data for logistic regression gen2wayTable Generate Two-way Tables iidspace Independent Identical Experiments No Results!