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Tutorial: Using R for GamBet statistical analysis Using R for Monte Carlo statistical analysis

Stanley Humphries
Professor Emeritus
University of New Mexico





Description

Our Monte Carlo code GamBet is all about statistics, and R is one of most powerful packages available for advanced statistical analysis. The match is perfect. Although there are many math programs available for personal computers, we recommend R for the following reasons:

  • It is freely available for all computer platforms.
  • It has a large international user base.
  • R has powerful standard features with add-on packages for sophisticated work.
  • A well-designed integrated development environment (RStudio) is available.
  • There is a wealth of documentation, including textbooks and online references.
  • GamBet and R can communicate directly.

We've written a tutorial to help you get a quick start. The 54-page book covers critical techniques to use R with GamBet and other technical programs through practical examples.

Here's a link to get more information on R: http://www.r-project.org/



Table of contents

Chapter 1. Introduction
Chapter 2. Working with the R console: vectors and data frames
Chapter 3. Creating and reading CSV files
Chapter 4. Linear curve fitting and plotting, Part A
Chapter 5. Linear curve fitting and plotting, part B
Chapter 6. Working with RStudio: multi-dimensional fitting
Chapter 7. Nonlinear fitting and parameter estimation
Chapter 8. Importing GamBet files into R
Chapter 9. Creating GamBet SRC files with R
Chapter 10. Generating arbitrary distributions



Downloads

Using R for Monte Carlo statistical analysis (0.93 MB).