R - Data Analysis (RDA)

Objectives:

• Super user of R software and analysis

Know Before Attending:
It is a good idea to be familiar with statistics and literature BEFORE you join the workshop.
Brett will help you with literature and pre-reading, but, obviously, it will slow down learning the concepts if you don't know statistics. You can pull out your old college statistics book to brush up OR visit our list of statistical learning options. For an online text book, visit Stat Soft. Various statistics folks recommended it to us. You can also contact Shelly Witt (CE-WFW Program Leader) to borrow "A Cartoon Guide to Statistics" (formula driven approach). "Brushing up" on statistics is highly recommended, because, after all, you want to get the most out of your time and money, learning about ecosystem analysis!

Or check out statistics courses on YouTube.com. For example, Khan Academy

Date: Summer FY12 - TBA; FY13 - TBD

Location:"Distance Learning"; stay at your home unit -- NO Travel Costs!

Tuition: Free

AgLearn Keywords: Use one or two of the key words below. We recommend using Advanced Search option.
2600 R data analysis statistics
Requesting in AgLearn

Registration Status: TBA

Dropping from the Workshop:
As this is a free course delivered by "distance learning" methods, you can simply withdraw from the course. Please be sure to notify Dr. Roper or Shelly Witt (switt01"at"fs.fed.us) if you do withdraw; this will ensure you don't receive course emails.

Agenda & Workshop Info | Related Readings | Local Area Services

Vendor:

Dr. Brett Roper, USFS National Aquatic Monitoring Program Leader, AWER Department, Utah State University, Logan, UT 84322-5210
broper"at" fs.fed.us, 435-755-3566