README.md

In natyuanto/binomial: Binomial Distribution

Overview

The "binomial" package provides functions to explore the binomial distribution. - bin_variable() will list the parameters of the binomial distribution. - bin_choose() will provide the number of combinations for a particular number of successes to occur in a set number of trials. - bin_probability() will calculate the probability of getting the number of successes specified in the number of desired trials - bin_distribution() will calculate probabilities of the number of successes in a fixed number of random trials performed under identical conditions - bin_cumulative() calculates probability distribution and the cumulative probabilities - plot() will plot the bin_distribution() histogram or plot the graph of binomial cumulative distribution of bin_cumulative() - summary() will provide the summary of bin_variable() - where it will detail the parameters and measurements of a binomial distribution

Additional Functions

The "binomial" package also includes other functionalities to examine the properties of the binomial distribution, which includes: - bin_mean() - bin_variance() - bin_mode() - bin_skewness() - bin_kurtosis()

Motivation

This package has been developed to analyze binomial random variables.

Usage

library(binomial)

#setting our binomial random variable
bin1 <- bin_variable(trials = 10, prob = 0.5)
bin1

#summary of the binomial random variable
summary(bin1)

#the number of combinations where 3 successes can occur in 5 trials
bin_choose(n = 5, k = 3)

#the binomial distribution
bin2 <- bin_distribution(trials = 10, prob = 0.5)
bin2

#plotting the histogram of the bin2
plot(bin2)

#mean of the binomial distribution 
bin_mean(trials = 10, prob = 0.5)

natyuanto/binomial documentation built on May 3, 2019, 1:32 p.m.