This is a group to discuss the analysis of data arising from biological and agricultural studies. The group provides a forum for the discussion of general statistical problems which are commonly found across the biological sciences, and to discuss the solutions to these problems in a non-technical way. Discussions cover how to deal with data, from experimental and sampling design, to the analysis and presentation of data that has been collected. The format of the group is that a participant presents a current problem that they are working with, and this leads into a discussion of the statistical problems involved, and ways of solving these problems. Experience has shown that although all problems are unique, they are often variations on a common theme, so that a good way to learn about research methods is to learn about similar problems, and their solutions. Of course, those presenting problems benefit from the advice they receive during the discussion, and are able to seek more detailed advice to help them complete and present their analyses. Anyone wishing to attend will be welcome.
For more details, contact Bob O'Hara ( <bob.ohara@Helsinki.FI>, Tel: 050 599 0540).
Times: Thursday, 14.00-16.00 (OK, 14.15)
Place: Biokeskus III, Room 6203.
The R homepage The statistics package, 'not unlike S-PLUS'. It is free to download and use, and there are a lot of packages developed for it for specific applications. There is even this page in Finnish, and a package called vegan, which has some ordination tools. And for those of you who speak German, this page might be interesting, as it gives a tutorial and R code for constructing and fitting ecological models. It looks like they would appreciate feedback, too.
The Ordination Web Page The title is pretty explanatory. There is a lot of useful information and advice.
Statistical Methods in Psychology Journals: Guidelines and Explanations A paper making recommendations about good practice in statistics, and how to report your statistics. It contains a lot of useful advice for everyone working with statistics.
If you have any other resources, email me!