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[Heartlogic-dev] RE: [R] remedial stats education
From: |
Doran, Harold |
Subject: |
[Heartlogic-dev] RE: [R] remedial stats education |
Date: |
Mon, 12 Sep 2005 08:26:40 -0400 |
There is a Springer publication "All of Statistics: a concise course in
statistical inference" by Larry Wasserman that might be what you are
looking for. The book also has an emphasis on R and his web site has
code and data sets for analysis of the examples used throughout.
-Harold
-----Original Message-----
From: address@hidden
[mailto:address@hidden On Behalf Of Joshua N Pritikin
Sent: Monday, September 12, 2005 8:16 AM
To: address@hidden
Cc: address@hidden
Subject: [R] remedial stats education
In short:
I didn't take enough stats courses in college. Now I am working on
scientific research and I feel somewhat lost when it comes to designing
the statistical framework. I have looked through the books at:
http://www.r-project.org/doc/bib/R-books.html
I even tried to read [17] Julian J. Faraway. Linear Models with R. This
book is too advanced. It helped a little bit but I still feel lost.
Can somebody recommend a textbook or textbooks suitable for a self-study
stats course?
Brief bio:
I have 20 years background in software development. I know lots of
computer languages including C++ and Perl. The computer language
aspects of R seems fairly simple. I did some calculus in college but
not more than 1-2 courses. I have a basic understanding of probability.
I mostly understand descriptive statistics. I feel somewhat lost when
it comes to statistical inference. I am good at self-study. I happily
spend 12 hours a day reading dry technical manuals.
About the research:
I have designed a web-based questionaire.
http://shared.openheartlogic.org My collaborator (equally stats inept)
is working on a similar web-based questionaire
http://ruminate.openheartlogic.org
Ultimately, we want to publish in a peer-reviewed journal such as
Emotion & Cognition or, at least, get a paper accepted at the annual
Cognitive Science conference. Something like that. We have already
started collecting data but not on a large scale since we are not
confident about our statistical approach.
This is a shot in the dark, but if a stats expert wants to collaborate
with us then we would welcome that. We don't have much to offer except,
what we think is, exciting research.
In any case, a few textbook recommendations would probably help me a
lot.
--
Make April 15 just another day, visit http://fairtax.org
- [Heartlogic-dev] RE: [R] remedial stats education,
Doran, Harold <=