An Introduction to R

Jim Albert
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Jim Albert: Bowling Green state University

Chapter 1 in Bayesian Computation with R, 2009, pp 1-17 from Springer

Abstract: R is a rich environment for statistical computing and has many capabilities for exploring data in its base package. In addition, R contains a collection of functions for simulating and summarizing the familiar one-parameter probability distributions. One goal of this chapter is to provide a brief introduction to basic commands for summarizing and graphing data. We illustrate these commands on a dataset about students in an introductory statistics class. A second goal of this chapter is to introduce the use of R as an environment for programming Monte Carlo simulation studies. We describe a simple Monte Carlo study to explore the behavior of the two-sample t statistic when testing from populations that deviate from the usual assumptions. We will find these data analysis and simulation commands very helpful in Bayesian computation.

Keywords: Bayesian Computation; Exponential Population; Basic Command; Drinking Preference; Equal Spread (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-92298-0_1

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DOI: 10.1007/978-0-387-92298-0_1

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