My Work
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Overview
As summarized from the About
R web page, R
is a program for statistical computing and visualization. R provides
a wide variety of statistical (e.g., linear and nonlinear
modeling [fixed and mixed effects]; classical statistical tests;
time-series analysis;
classification; clustering, etc.) and visualization
techniques,
and R is
highly extensible. The S language, which R is based, is
often
the vehicle of choice for
research in statistical methodology, and R provides an Open Source
route to participation in that activity. One of R's strengths is
the ease with which well-designed
publication-quality plots can be produced, including mathematical
symbols and formulas as needed. Great care has been taken over the
defaults for the minor design choices in graphics, but the user
retains full control. R
is available as Free Software under
the terms of the Free
Software Foundation's GNU
General
Public License in source code
form. My Rationale for an
R Page
R is a wonderful tool to use in research, both for
substantive
researchers performing analyses and methodologists evaluating a
procedure with no closed form solutions via a Monte Carlo simulation
study. In the right hands, the capability of R is amazing.
However, in the hands of a new user, R is nothing more
than a blank
screen with a command line (>) waiting for code. The
hope is
that this page will expose people to R and for them to
learn a bit more
about R.
This page also serves as a gateway to my R How To
pages
and the Methods
for the Behavioral and Educational Sciences
R
package.
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