In gastonstat/dieroller: Rolling a die

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

library(dieroller)

About

The package "dieroller" is a minimal implementation for simulating rolling a die a given number of times, and to visualize the relative frequencies in such a series of rolls

Creating a die

The first step is to create a "die" object with the function die():

mydie <- die()
mydie

By default, die() creates a fair standard die with six sides numbered 1, 2, 3, 4, 5, and 5, and with probability values for each side of 1/6.

You can change the defatuls with arguments sides and prob:

loaded <- die(prob = c(0.1, 0.1, 0.2, 0.2, 0.35, 0.05))
loaded

Rolling a die

Once you have defined a "die" object, you can use the function roll() to roll a die a given number of times. The output will be an object of class "roll", which will contain the vector of rolls:

rolls100 <- roll(mydie, times = 100)
rolls100

The summary() function gives you a nice table of frequencies:

summary(rolls100)

Plot of relative frequencies

You can use the function plot() to create a graohic with the relative frequencies of a series of coin tosses:

plot(rolls100)

gastonstat/dieroller documentation built on April 12, 2020, 12:22 a.m.