Presentation includes links to resources

1. The Project

2. What is R?
A FREE program widely used for statistical analysis.

3. Why use R?
Strengths
- Free
- Creates graphs that are publication-quality
- Lots of code and packages have been written
for it. You’re able to use packages that analyze
biodiversity, the human genome, or speech
patterns for example.
- A wealth of support and resources

4. What is R?
Limitations
- Takes a bit of time to learn but may be well
worth your while in the long run
- Unable to handle very very verylarge
quantities of data. For most purposes, R is great


5. This is your data

6. So you want to speak πR8…
Download from www.r-project.org

7. Conversation 101
Structure
> This is a command line. R is waiting for you to say something.
[1] This is how R replies
Topic

8. Importing Your Data
To say “This is That” >FishData<- read.csv(“FishData.csv”)

9. Columns
To recall the value of your columns
OR

10. Functions
To search functions, you can use www.rseek.org or go to Software Resources for R.
Here are some simple ones:
Mean >mean(COLUMN)
Variance >var(COLUMN)
Median >median(COLUMN)
Standard Deviation >sd(COLUMN)

11. Helpful Links and Tutorials
• The R Project (r-project.org) – The official R website.
• R Commander (www.rcommander.com) - A graphical user interface (GUI) that
some find makes R easier to use.
• Software Resources for R* (courses.statistics.com/software/R/Rhome.htm) – A
great resource for using and running basic statistical analyses on R.
• R Basics Blog* (http://rtutorialseries.blogspot.com/2009/10/r-tutorial-series-
introduction-to-r_11.html) - A blog on how to use R. Awesome step-by-step
walkthrough with screenshots.
• R Seek (www.rseek.org) - A Google custom search for R related webpages.
• True Random Number Generators (random.org) – Not all random number
generators are created equal. If you require the use of random numbers in your
statistical analysis, this website is great.