School of Statistics

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Statistics 5303
Designing Experiments
Spring 2016

Software

We will be using the R software package. Many of you will have used this in previous classes, so I hope that the learning curve will not be too steep. You may download R for Macintosh, Windows, and Linux from the "CRAN" link on the R-Project home page.

I have written a couple of R packages to fill some of the gaps of things we want to do that are not in R and to make life simple with regard to loading still other packages. I think that I now have most of the bugs fixed/gaps filled, so I hope we have smooth sailing this year. That said, I might update it from time to time if an issue arises. (Like last year, when they updated R and the lme4 package just after the semester started, breaking a lot of my code. That was a fun semester for me.)

We will be using a lot of other packages that are not in the standard download of R that you will need to install along with all of their dependencies (more about this in the first lab). The packages you will need are lme4, pbkrtest, car, perm, effects, tseries, FrF2, RLRsim, conf.design, rsm, and mvtnorm.

The first package is called Stat5303libs. The only thing that loading Stat5303libs into your R session will do is load a bunch of other packages that we will be using from time to time during the semester (i.e., all those packages listed in the previous paragraph). This is actually an abuse of R etiquette, but I think that it simplifies my life, and so you might want to use it as well.

The second package is called cfcdae (Companion for a First Course in Design and Analysis of Experiements). This ones contains new functions rather than simply loading in other libraries.

You will need to download from this page, and then install into R, both of the packages.

Current version of the Stat5303libs package is 0.7-5. The current version of cfcdae is 0.8-4. When I add features I will increment the middle index. When I just make bug fixes I'll increment the last index. I hope that we won't need either this year.

Stat5303libs R package (0.7-5) for Mac (can be made to work for Linux)

Stat5303libs R package (0.7-5) for Windows

cfcdae R package (0.8-4) for Mac (can be made to work for Linux)

cfcdae R package (0.8-4) for Windows

 

G. W. Oehlert
gary@umn.edu


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