Index of /stat/
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Paul Johnson
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2020-08-11
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Landing page for PSYC790, Statistics for Behavioral Sciences I (Regression Analysis).
<p>
Previously, I was teaching PSYC650 POLS706 and PSYC90 rolled together into
one course. Now these things are separate.
Sometimes you will run into outdated material and links that don't fit
anymore. I'm trying to clean all that up.
<H3> Where is Everything?</H3>
<p>
I keep all my lecture material under the general topical
structure in <a href="http://pj.freefaculty.org/guides"> http://pj.freefaculty.org/guides</a>.
Feel free to dig around
in there. I found a Web program called H5ai that allows me
to just show the files. No fancy HTML code going on here.
This makes it easy for me to rename directories and files
without breaking any pages.
See a file, click on it, you can view or download.
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<p>Almost all of these are "literate program documents". The R
code is woven into the documents raw code, and then the code is
processed when the PDF or other output file is produced.
The folders include the source code--everything needed to re-do the work.
So if you want to revise some lectures for me, feel free. Send a "diff" file
with your edits :)
<p>
In case you are interested in learning how to write papers
that incorporate runable R code, there are 2 ways. I've written
an R package called "stationery" and it comes with HOWTO essays
about different startegies for doing this. I'll show some examples
from time to time. Your choice is to use either Rmarkdown or
Sweave to do this. If you want PDF output, for me the choice is
clear: Use Sweave. However, other people like Rmarkdown. The
overview essay in the stationery package explains. I started
lecture notes on this for a workshop, stored under
<a href="https://pj.freefaculty.org/R">https://pj.freefaculty.org/R</a>
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<H3> Are You Well Prepared? </H3>
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If you think you might like to take the class, but are unsure
if you are well prepared, I made a <a href="http://pj.freefaculty.org/guides/stat/Regression/Pre-RegressionChecklist/preregression-checklist.pdf">
Checklist of topics</a>. I just updated that for 2020.
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If you have had one or two social science stats and methods
courses, I expect you will be ready.
<p>
I've gravitated toward computing and computer science
over the years. I can help you understand that transition
process. It seems to me that many social scientists today
can find good careers in modern "data science" if they are
willing to learn a bit about programming.
<p>
Before the class begins, you should exert yourselves to prepare your
personal computers. Whether you use Linux, Macintosh, or Windows,
install R (free software), and at least one
reasonable editor. If you only have a ChromeOS device, I'm sorry, but
I think you need to get a full-sized OS in order to make any progress.
Also, if you have an early version of Windows Surface, you are going
to have trouble.
<p>
For an editor, I still use Emacs with ESS to interact with
R, but many Windows users do well with Notepad++ (and the NPPTOR
plugin). Many Mac users do well with the editor called R.app.
There is a newer program called "R Studio" which I actively
dislike, but I cannot deny it is popular with people under
the age of 30.
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<p>
In the CRMDA at KU (when it existed), we made instructional
videos about installing R on Windows and Mac.
I just copied those guides to a subdirectory called
<a href="http://pj.freefaculty.org/guides/Rcourse/crmda_guides">
crmda_guides</a> in the Rcourse folder. Look for
folders "46.windows_R_setup" (the *.ogv file is a video,
click to watch in browser) and "47.mac_install".
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<p>
Years ago, I put up similar video for Windows users on
YouTube, but they are dated now. Should figure out how to remove
them. Until 2015 or so, R required a working verstion of Perl.
You don't need to install that anymore.
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At the bare minimum,
please try to install the R program
(http://www.r-project.org). Since "R Studio" is free for the
moment, you might as well install that.
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| Name | Last Modified | Size |
|---|---|---|
 Parent Directory | ||
 archive | 2020-07-28 15:10 | - |
| psyc790 | 2019-11-25 20:39 | - |
 Syllabus-2019.pdf | 2019-08-25 17:17 | 194k |
| Syllabus-2020.pdf | 2020-08-31 19:34 | 194k |