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4. Introduction to R - basic statistical analysis

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This session teaches you how to perform basic statistical analysis and a little bit of theory. The two main parts are 1) Standard deviations; how to with and without creating an object and then 2) Random samples and Type I errors; how to generate random data and how to manipulate it, what constitutes an error and so forth. Functions covered: sd() and how to use it as well as sqrt() multiplication operator (*) how to simulate sample data using runif() how to perform a t-test and the different kinds of t-tests using t.test() how to create your own function using function() how to create a matrix and why using as.matrix() how to manipulate your function LINK TO DATA IS PROVIDED There are also about 13 questions (answers are supplied at the end)

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July 21, 2018
Number of pages
72
Written in
2017/2018
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Introduction to R – basic
statistical analysis

,Standard Deviations
You’ll be needing two sets of sample data
(I have made the link available)

,First things first
• Read the csv file “eggmass” into R
• Assign it to a data frame object of your choosing
• This file contains the mass of eggs (in g) from 3 different sites
• Mass is normally distributed
• Mean: 65 g
• Variance: 16 g2

,
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