In Dyang11/binomial: Binomial Functions and analysis

knitr::opts_chunk$set(echo = TRUE)

Binomial

Overview:

The Binomial pacakge provides functions to calculate and visualize binomial distirbutions.

A binomial distritbution can be generated with:

n trials
p probability

Basic summary functions calculate statistics of a generated binomial distribution:

bin_mean(trials,probability)
bin_variance(n,p)
bin_mode(n,p)
bin_skewness(n,p)
bin_kurtosis(n,p)

More complex summary funtions calculate the binomial distribution and the probability of successes:

bin_variable(trials,probability)
bin_choose(trials,successes)
bin_probability(success,trials,probability)
bin_distribution(trials,probability)
bin_cumulative(trials,probability)

To learn about these functions, read the vignette provided or call ?bin_variable.

Installation:

Install the development version from GitHub via the package "devtools":

# Load helper detools:
install.packages("devtools") 
# To load Binomial (without vignettes):
devtools::install_github("Dyang11/binomial")

To learn about the functions, install Binomail with vignettes:

devtools::install_github("Dyang11/binomial", build_vignettes = TRUE)

Usage:

Let us supposed we are simulating 10 coin tosses, where a "success" is a heads flip.

library(Binomial)

#Set variable amounts
trials <- 10
probability <- 0.5

bin_mean(trials,probability)

bin_variable(trials,probability)

summary(bin_variable(trials,probability))

bin_distribution(trials,probability)

plot(bin_distribution(trials,probability))

bin_cumulative(trials,probability)

plot(bin_cumulative(trials,probability))