R help - Feb 2001 - statistical help

Hi All,

Briefly, I belong to a fisheries research group. At this time I'm working
on my PhD  and I'm looking for some statistical help. My mathematical and
statistical skills are still scarce, I've gathered many different types of
data  (landings, climate and upwelling indexes, rains, etc) and I wonder
about what kind of statistical procedure use with them. I'm a little
confused about uni, bivariate, nonlinear, nonparametric, time series, etc
terms. I'm looking for someone or maybe a research group to afford the
implemantation of a statistical procedure to manage those data. Keeping
always on mind the possibility of publishing our results.

I choose to write this petition through the R list because as happens in
many other open source software (linux, grass, etc) lists, it is more easy
to find help from open minded people subscribed there.

Hope to find someone interested in developping some research in the
fisheries field.

Antonio Rodriguez
CICEM Agua del Pino
Oceanography PhD program, University of Huelva
Huelva, Spain
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On Fri, 23 Feb 2001, Antonio [iso-8859-1] Rodríguez Verdugo wrote:
> Briefly, I belong to a fisheries research group. At this time I'm
working
> on my PhD  and I'm looking for some statistical help. My mathematical
and
> statistical skills are still scarce, I've gathered many different types
of
> data  (landings, climate and upwelling indexes, rains, etc) and I wonder
> about what kind of statistical procedure use with them. I'm a little
> confused about uni, bivariate, nonlinear, nonparametric, time series, etc
> terms. I'm looking for someone or maybe a research group to afford the
> implemantation of a statistical procedure to manage those data. Keeping
> always on mind the possibility of publishing our results.
Well, short of taking a "how to do research" course (which our Oregon
Graduate
Institute has and *requires* its students to take), I have two recommendations:

1. Pick up a good book on "modern" exploratory data analysis. The
classic, "EDA"
by Tukey, is very good, but I think there are better books on the subject.

2. Download R from CRAN (http://cran.r-project.org/), work through the
"Introduction to R" document, then look at some of the many example
datasets.
There are many EDA tools built into R and I recommend exploring them first.

I've been doing computer performance analysis statistically for a little
over
eight years now, and I still spend at least 80 percent of my time in exploratory
data analysis, looking at pictures. What I code and automate is the generation
of those pictures. Of course, this is a business situation and not a PhD
research situation -- the requirements are different.

Good luck with it!!
--
znmeb at aracnet.com (M. Edward Borasky) http://www.aracnet.com/~znmeb

I support the right to keep and arm bears.

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r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
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