In jonisaac/binomial:

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library("binomial")

The Binomial Distribution

The most common discrete probability distribution, most often exemplified by a series of coin flips. This package allows a user to explore important questions like, "What are the odds of flipping a fair coin heads 3 out of 4 tosses?"

Answering the question

Quickly lets answer this question before moving on to more spectacular things.

bin_probability(success = 3, trials = 4, prob = .5)

So as you can see, specifying success for the amount of successful results, trials the number of trials, and prob the porbability of the successful outcome, we can answer any such question.

Seeing results visually

We can see the answers to a wide variety of these kinds of questions, if we graph them!

dist <- bin_distribution(100, .5)
plot.bindis(dist)

As well, we can see the probability of getting more or fewer than a certain amount of successes.

cumu <- bin_cumulative(100, .5)
plot.bincum(cumu)

More data

We can see detailed info on these distributions using bin_variable and summary.binvar, where the output of bin_variable is an input to summary.binvar.

vars <- bin_variable(100, .5)
summary.binvar(vars)

jonisaac/binomial documentation built on May 14, 2019, 12:55 a.m.