In BrandonMichaudOU/MATH.4753.113499560:

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

library(MATH.4753.113499560)

Introduction

This package was developed as part of the curriculum for MATH 4753 at the University of Oklahoma. It contains many functions which reflect the r tools and statistical methods that I learned over the course of the semester. It also contains a data set that was included as a proof of concept that it can be packaged

Data

The data set included with this package is called fire.R which contains data about distance from fire stations and damage caused by fires

fire

Function Examples

mybin

This function performs the given number of iterations of the specified binomial experiment and outputs a histogram of the results

mybin(100,20,0.7)

mycltb

This function plots the histogram of the number successes in each iteration of the specified binomial experiment and then plots a normal curve over the histogram for comparison

mycltb(n=5,iter=10000,p=0.3)

mymaxlik

This function graphically finds the maximum likelihood estimate for a given function, data, and check intervals

y=c(3,3,4,3,4,5,5,4)
logbin=function(x,param) log(dbinom(x,prob=param,size=20))
mymaxlik(x=y,lfun="logbin",param=seq(0,1,length=1000))

myncurve

This function graphically displays the lower-tail probability of the last argument given the mean and standard deviation of a normal distribution

myncurve(5,2,4)

scatterhist

This function plots a scatter plot of the given x and y variables and displays the histograms associated with both the x and y variables next to the scatter plot

with(fire, scatterhist(DISTANCE,DAMAGE, xlab="DISTANCE"))

BrandonMichaudOU/MATH.4753.113499560 documentation built on May 2, 2022, 5:41 a.m.