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

Introduction

This is a package of basic functions for MATH 4753.

myread()

The myread() function is utilized for opening a CSV file of your choosing. You need only call "myread()" for this function to work.

mybin()

The mybin() function creates a plot for a binomial simulation given certain parameters. You must call the function as follows:

mybin(iter = 100, n = 10, p = 0.7)

where iter is the number of iterations, n is the sample size, and p is the probability.

myncurve()

The myncurve() function is used to find the area under a normal curve. You must call the function as follows:

myncurve(mu = 3, sigma = 2, a = 4)

where mu is the mean, sigma is the standard deviation, and a is the upper tail value.

fire

This is a data set of the fire safety of doors.

mycltp()

The mycltp() function is used to create many useful plots for a Poisson distribution. You must call the function as follows:

mycltp(n = 2, iter = 10000, lambda = 4)

where n is the sample size, iter is the number of iterations, and lambda is iter divided by n.

myboot2()

The myboot2() function is used to create a bootstrap and provides a histogram of sample evaluation using requested function. You must call the function as follows:

myboot2(iter=10000,sam,fun="mean",alpha=0.30,cx=1.5

where iter is the number of iterations, x is the sample, fun is the function to evaluate with, and alpha is the bootstrap interval value (95% = 0.05).

mymaxlik()

The mymaxlik() function is used to find the max likelihood value of a given sample and parameters, and provides index values for different variables and a graph illustrating the maximum likelihood value. You must call the function as follows:

mymaxlik(x = c(3, 3, 4, 3, 4, 5, 5, 4), param = seq(0, 1, length = 1000)

where lfun is the function to use (binomial, poisson, etc), x is a vector of values, param is the parameter to calculate (prob, theta, lambda, etc), and ... are additional arguments, if needed.



RaliDali/functionspackage documentation built on May 3, 2022, 7:22 p.m.