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3. Introduction to R - Probability functions and Tables R50,00
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  3. University Of Cape Town (UCT)
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3. Introduction to R - Probability functions and Tables

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Step by step walkthrough covering the use of the following functions rnorm() pnorm() rexp() pexp() pbinom() dbinom() ppois() table() tapply() sd() prop.table() Examples are provided along with questions and answers. link to sample data is provided in the presentation

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  • July 8, 2018
  • 65
  • 2017/2018
  • Presentation
  • Unknown

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Introduction to R –
Probabilities and tables
Link to the data used is provided

,Let’s start at the beginning
• Open RStudio; create a new script
• Clear R’s memory
• Set your working directory to the same folder you used for the oth
sessions

,Let’s start at the beginning
• Open RStudio; create a new script
• Clear R’s memory
rm(list=ls())

• Set your working directory to the same folder you used for the oth
sessions
setwd(“C:/Users/dtros/Documents/Using R/Session 1”)

,
,Probability Distributions
R has functions for a variety of probability distributions

,Function rnorm()
• To begin let’s find out what rnorm() is
• Bring up this functions help file

,
,Function rnorm()
• To begin let’s find out what rnorm() is
• Bring up this functions help file
• Were you able to do it? Remember that you can bring up a functio
help file using
?rnorm
• This is the last function in the list for ‘Normal Distribution’
• The description of rnorm() is as follows – rnorm() generates
random numbers that are from a normal distribution
• Run the following
x <- rnorm(100000, mean = 0, sd = 1)

,
, Function rnorm()
• Run the following
x <- rnorm(100000, mean = 0, sd = 1)

• As you can see, including spaces does not make a difference at this
point, as long as you have used the correct arguments and have
placed them in the correct order
• This line of code has produced 100 000 values from a standard
normal distribution; with a mean of 0 and a standard deviation of 1

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