University of Minnesota

School of Statistics


    Arc Add-Ons


    Add-ons are files that can be read by Arc and will add new features to the program. These files end in ".lsp" or ".fsl", and should be put in your Extras directory, and the file will be then be loaded automatically whenever you start Arc. To download and save the file, hold down the mouse button (the right mouse button on Windows) and select Save this link as, or Download to disk, depending on your browser. Your browser my add a suffix ".txt" to the file name when saving; if so, you need to rename the file deleting the ".txt". If you decide you don't want to use this code any more, simply move it to another directory, or change its name so it does not end in ".lsp" (or ".fsl"). Most add-ons also have documentation, either as an html document or in a pdf file.

    LaTeX graphs
    Translate almost any Arc graph into LaTeX, which you can then convert to PostScript for high-quality printed graphs! This will work on Linux/Unix, Mac and Windows, but it requires familiarity with LaTeX.
    Windows interface to MS Excel (updated April 2009)
    For Windows only, you can add an item to the Tools menu in Microsoft Excel to read a spreadsheet, or part of a spreadsheet into Arc. (If you use Macintosh or Windows, the method described in Appendix Section A.5.3 of Applied Regression Including Computing and Graphics can be used to save a spreadsheet as an Arc datafile.)
    Interface between Arc and SAS
    Andrzej Galecki and Yiqun Zhang from the University of Michigan have produced examples of how data sets can be exchanged between Arc and SAS. Get their package SAS2ARC from their website. They provide documentation and SAS computer code.
    Normal dispersion models
    Get the file dispmod.lsp for Windows or Linux/Unix or for Macintosh and get the documentation in dispmod.pdf to figure out what it does.
    Overdisperse binomials
    The document overdispersion.pdf describes how to use Arc to fit overdisperse binomial data using Williams' (1982) method. The data file orobanche.lsp for Windows or Linux/Unix or for Macintosh is used as an example in this document.
    Overdisperse Poisson (March 21, 2000, by Luca Scrucca)
    The document poisson-extra-var.pdf describes how to use Arc to fit overdisperse Poisson data. Get the necessary code for Windows or Linux/Unix or for Macintosh The data file salmonellaTA98.lsp for Windows or Linux/Unix or for Macintosh is used as an example in this document.
    ARES plots
    ARES plots using Arc.
    Inverse Gaussian generalized linear models
    Inverse Gaussian generalized linear models using Arc.
    Mulitnomial logit models; recode dialog
    John Fox at McMaster University has written several additional extensions, including: (1) a dialog for recoding variables; (2) fitting multinomial logistic regression models; (3) a spreadsheet for viewing data (modified from work by Forrest Young). You can get documentation and the add-ons from http://socserv.mcmaster.ca/jfox/Misc/Arc/index.html.
    Nonparametric lack-of-fit test for 2D plots (rev. May 15, 2000; rev Oct. 3, 2000 to allow for point deletions; bug-fix 9/1/2005)
    This add-on implements a nonparametric lack-of-fit test for a simple or polynomial regression model on a 2D graph, using a bootstrap method suggested by J. Hart (1997), Nonparametric Smoothing and Lack-of-Fit Test, New York: Springer. Get the version of nptest.lsp for Windows or Linux/Unix or for Macintosh and get the documentation in nptest.pdf
    Simple cross-validation (November 16, 1999, sligtly revised and simplified, January 31, 2002)
    This add-on allows you to divide your dataset into two parts, a construction set, and a validation set. Models are fit to the construction set, and selected fit statistics are displayed for the construction and validation sets separately. Get the version of cv.lsp for Windows or Linux/Unix or for Macintosh and get the documentation.
    Improved Help dialog (March 20, 2000, by Luca Scrucca)
    This add-on provides an improved the help facility for Arc. Get the documentation in helpdlg.pdf, and the the code in helpdlg.lsp for Windows or Linux/Unix or for Macintosh
    Yeo-Johnson transformation family (Feb, 2001)
    Yeo and Johnson (2000, Biometrika, 954-959) have recently suggested a family of transformations that can be used in place of the Box-Cox family when a variable is not strictly postitive. Get the documentation in yjpower.pdf, and the the code in yjpower.lsp for Windows or Linux/Unix or for Macintosh
    Delta method for estimating nonlinear functions of parameters
    As of Version 1.06, the delta method is a standard part of Arc, and you do not need an add-on. The documentation is still available as DeltaMethod.pdf.
    More add ons!
    Luca Scrucca has produced several additional add-ons at the University of Perugia in Italy.


    Contact us!
    arc@stat.umn.edu

    Last modified: April 29, 2009