# R_mhw - Tutorial: Using the R Environment for Statistical...

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15.1 Answers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 16 The eﬀect of plot size 100 16.1 Answers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111 17 Wrapup 112 References 113 Index of R concepts 116 A Example Data Set 118 B Colours 119 iii

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1 Introduction This tutorial introduces the R environment for statistical computing and visualisation [ 8 , 19 ] and its dialect of the S language . It is organized as a systematic analysis of a simple dataset: the Mercer & Hall wheat yield uniformity trial (Appendix A ). After completing the tutorial you should: ˆ know the basics of the R environment; ˆ be able to use R at a beginning to intermediate level; ˆ follow a systematic approach to analyze a simple dataset. The tutorial is organized as a set of tasks followed by questions to check your understanding; answers are at the end of each section. If you are am- bitious, there are also some challenges : tasks and questions with no solution provided, that require the integration of skills learned in the section.
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## This note was uploaded on 05/12/2010 for the course APPLIED ST 2010 taught by Professor Various during the Spring '10 term at Universidad Nacional Agraria La Molina.

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R_mhw - Tutorial: Using the R Environment for Statistical...

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