1. R basics mini-workshop for REU students
May 4-9, 2015, Missouri Botanical Garden
Network: MBGPUBLIC, password: mygarden
Website:

2. Instructors J. Sebastián Tello
Center for Conservation and Sustainable Development
Missouri Botanical Garden
Iván Jiménez

3. Participants Joseph Caine, junior, Harris-Stowe State University
Corri Hamilton, junior, Columbia College (Columbia MO)
Amanda Malone, junior, University of Colorado
Rebekah Mohn, sophomore, Miami University of Ohio
Jennifer Rosen, junior, University of Missouri - St. Louis
Sam Stern

4. Objective
To teach the basic knowledge necessary to use R independently, thus helping participants initiate their own process of learning the specific tools needed for their research.

5. Logistics
4 days, 1 sessions each day: first day 1:00 pm to 3:00 pm, all other days 2:00 pm to 4:00 pm
One 10-minute break after the first hour, first day 2:00 pm to 2:10 pm, all other days 3:00 pm to 3:10 pm
Network: MBGPUBLIC, password: mygarden
Website:

6. General contents Day 1 1. Introduction – Iván
2. Functions and arguments – Sebastián
Day 2
3. Objects – Sebastián
4. Opening and saving files – Sebastián
Day 3
5. Data generation – Iván
Day 4
6. Operators – Iván
7. Manipulating objects – Iván

7. 1. Introduction

8. What is R?
R is a language and environment for statistical computing and graphics. Environment = planned and coherent system of flexible tools (“An Introduction to R” by R Core Team). R can be used for: data manipulation, data analysis, creating graphs, designing and running computer simulations.
R is extended by thousands of packages described in CRAN Task Views at:
R is a statistical computing environment for statistical computation and graphics, and it is a computer language designed for typical and possibly very specialized statistical and graphical applications. The software is available for unix/linux, Windows, and Macintosh platforms
under general public license, and the program is available to download from Thousands of contributed packages are also available as well as utilities for easy installation.

9. Why use R? It is free Excellent for graphics
Tools for a wide range of statistical analyses
Recently developed tools available immediatly
Freedom to develop your own tools
R is a statistical computing environment for statistical computation and graphics, and it is a computer language designed for typical and possibly very specialized statistical and graphical applications. The software is available for unix/linux, Windows, and Macintosh platforms
under general public license, and the program is available to download from Thousands of contributed packages are also available as well as utilities for easy installation.

10. How to get R
From R is a GNU project.

11. Three windows in R
Graphics
Console
Editor

12. Exersice 1: a first session in R
Objective: experiencing R