# R course - The Basics

### 1.  Concept

This seminar addresses everybody who is interested in learning R from scratch.

This workshop is also intended as a preparation for the advanced modules? and courses in applied statistics and data analysis? as well as data visualisation, which require some scripting skills.

There will be

• a little theory
• focus on technical aspects (not on interpretation)
• time for questions and answers
• hands-on training based on the requests you write in the comment field of the registration form. Feel free to approach us with your data

### 2.  Organizational issues

Instructor: Guido Kraemer
Date: Wed and Thu, May 18-19, 2016
Starting time: 9.00 am
Place: Seminar room B0.004 (MPI-BGC)

### 3.  Content of the course

Intro & Graphics - Wed, May 18 (9-12 am)

• RStudio & R as a calculator, operations: +-*/, sum
• Data types: logical, numeric, character ...
• Data structures: vectors, matrices, lists, data.frames, arrays
• navigating the R universe: finding help, searching documentation, finding the right packages/functions for the right purpose.
• High-level graphic functions
• plot, barplot, boxplot, contour, curve, hist, image, mosaicplot, pairs, persp
• Low-level graphic functions
• abline, arrows, axis,grid, legend, lines, mtext, points, polygon, text, title
• Saving graphics
• pdf, png ...

Basic statistics & Programming 101 - Wed, May 18 (1-4 pm)

• Univariate descriptive statistics
• mean, median, quantile, range, min, max, var, sd
• plot, hist, boxplot
• Multivariate descriptive statistics
• cov, cor
• linear regression: lm, summary, plot.lm
• Conditions
• if, else
• Loops and friends
• for, while, apply & co
• Functions
• Debugging (with Thomas Wutzler)
• Processing of character strings
• match, grep, paste, strsplit, sub, gsub ...

Introduction to NetCDF - Thu, May 19 (9-12 am) In preparation for the skill course 'Applied statistics & data analysis'

### 4.  What you need to prepare

Bring a laptop and make sure that a recent version of R and R Studio is running on it.

RStudio is a new open-source integrated development environment that runs on all platforms. It nicely combines console, script editor, working directory, plots etc. into a an uncluttered layout that you can easily navigate. You need to have R installed before you can use RStudio as a development environment.

Please also make sure that you can access the internet via WLAN (BGC-users, if you have a BGC-account; BGC-guests, if you don't have an account)

### 5.  Material

This is the course material from previous years:

More R…

### 6.  Feedback

The survey gives feedback of 9 (out of 12) participants which was given by mid-June.
A retrospective assessment was requested after 10 months where 5 (out of 12) participants filled in the survey. Results are given here.
Statistics and statements should not be taken as an exhaustive or exclusive list.

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