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Published in:
An Introduction to Modern Statistical Methods in HCI Read chapter Read first chapter

2016 | OriginalPaper | Chapter

2. Getting Started with [R]; a Brief Introduction

Author : Lianne Ippel

Published in: Modern Statistical Methods for HCI

Publisher: Springer International Publishing

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Abstract

In this chapter we provide some basics into [R] that will get you started and provide you with tools to continue the development of your skills in doing analyses in [R].

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previous chapter An Introduction to Modern Statistical Methods in HCI
next chapter Descriptive Statistics, Graphs, and Visualisation
Footnotes
1
Note that if you use [R] for your reports, do not forget to mention the version of [R] you used, because slightly different results may come from different versions of [R], or the packages you used. we used [R] 3.2.2, 64-bit.
 
2
Be aware of how you name you variables, because you do not want to overwrite a command that already exist in [R]. Simply typing in the name you want to use for your object in the console will give insight in whether this name is already in use.
 
Literature
Albert J (2009) Bayesian computation with R, 2nd edn. Springer
Field A, Miles J, Field Z (2012) Discovering statistics using R. Sage, London
Lynch SM (2007) Introduction to applied Bayesian statistics and estimation for social scientist. Springer
Venables W, Ripley B (2002) Modern applied statistics with S, 4th edn. Springer
Metadata
Title
Getting Started with [R]; a Brief Introduction
Author
Lianne Ippel
Copyright Year
2016
Book
Modern Statistical Methods for HCI

Print ISBN: 978-3-319-26631-2

Electronic ISBN: 978-3-319-26633-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-26633-6_2