Distributions in R - StatsCodes

This section is on statistical distributions in R. The topics covered include the following.

Probability Distributions: These include discussion on 16 probability distributions, including setting parameters, deriving random samples, density or mass, cumulative probability and quantiles.

Distributions Covered
Normal Distribution	Student’s t Distribution
Binomial Distribution	Poisson Distribution
Exponential Distribution	Uniform Distribution
Chi-squared Distribution	F Distribution
Lognormal Distribution	Negative Binomial Distribution
Geometric Distribution	Hypergeometric Distribution
Beta Distribution	Gamma Distribution
Cauchy Distribution	Weibull Distribution

Measures of Center: Mean, Median & Mode: These include discussion on how to get measures of center like mean, median, and mode, including row & column means, medians and modes.
Measures of Variation: Variance, Standard deviation & Range: These include discussion on measures of variation like how to get sample and population standard deviation, variance, and range, including by columns in a dataframe.
Measures of Relative Standings: Percentiles, Quantiles & Quartiles: These include discussion on how to get quantiles, percentiles, quartiles, five number summary and interquartile range.

Sampling: These include discussion on sampling with and without replacement, including balanced and weighted sampling with probabilities.
Counting: Permutation and Combination: These include discussion on factorials, permutation and combination with the factorial(), choose(), combn() and permn() functions.