Table of Contents

Presenter: Dr. Brian Knaus Time: 11-11:50 AM Subject: Genomatic Location: ALS 4000

Genomatic: an R package for DNA fragment analysis (e.g, microsatellite) project management.

The Genomatic is a set of utilities to aid in project management for DNA fragment analysis projects (e.g., microsatellites). Features include:

- 96-well maps created from population names and sample sizes.
- Automated creation of ABI submission forms from 96-well maps.
- Import of Genotyper export tables.
- Rerun management.
- A simple algorithm for binning alleles (including graphical output).
- Export to formats for statistical analyses (e.g., Create, GenAlEx, NTSYSpc).

Presenter: Josef Uyeda

Time: 1:00 PM

Subject: Loops and Apply functions

Location: ALS 4000

I will show how to program loops and compare them to the capabilities of the apply functions. This topic should be useful for conducting simulations, carrying out repetitive operations and for statistical resampling algorithms.

R Script Showing how to run Loops and Apply functions

Word document summarizing the different forms of loops and apply functions

Presenter: Angela Brandt

Time: 2:00 PM

Subject: Pre-analysis Data Manipulation in R

R can be a very useful tool, especially for working with large data sets, before you even start your statistical analysis. I will demonstrate several examples of data manipulation and management in R for a plant community composition data set, including combining separate data files (e.g., using relational databases), finding and fixing data entry errors, and a few mathematical functions.

Presenter: Josef Uyeda

Time: 10:00 AM

Subject: Introduction to R

Description: This presentation is intended for users getting started with the R environment. I'll introduce data structures, importing data into R, simple statistical analyses (e.g. linear regression), and finish by demonstrating basic programming techniques.

ALS 4000 Script bumpus.txt

Presenter: Brian Knaus

Subject: R maps and spatial interpolation

Description: I'll demonstrate how to make maps (of the U.S.) in R. Then I'll introduce spatial dataframes, an R standard datastructure for geospatial data. Once we have a spatial dataframe we can then use it for spatial interpolation, in this case we'll use the IDW method. Lastly I'll show how to create a publication quality tiff (300 dpi) of our map.

ALS 4001 (NOTE THAT THIS IS 1 ROOM OVER FROM WHERE THEY USUALLY MEET)