University of Minnesota

School of Statistics
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Handouts
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    Statistics 541/8421 Handouts

    • Getting started with R.(pdf). The file Rintro.R contains all the R commands
    • physiciansstudy.pdf. This handout illustrates using R to read in, set up, and manipulate two-dimensional tables, using Table 2.1 in Agresti as an example.
    • deathpenalty.pdf. This handout illustrates using R to read in, set up, and manipulate three-dimensional tables, using Table 2.6 in Agresti as an example.
    • table32.pdf. This handout illustrates using R do Chi-square tests in two-way tables, and how to get and display residuals in a table.
    • blowdown1.pdf. This handout illustrates some basic ideas of logistic regression.
    • blowdown2.pdf. More logistic regression and the function glm in R.
    • glmhelpers.pdf. A list of helper functions that can be used with glm objects in R.
    • October 4, 2006 aa179.pdf. On the relationship between maternal alcohol consumption and congenital birth defects.
    • October 6, 2006 seatbelts.pdf. On the effacacy of seat belts in reducing accident severity.
    • October 9, 2006 blowdown3.pdf. Logistic regression with more than one predictor.
    • October 11, 2006 blowdown4.pdf. Logistic regression with continuous and categorical predictors.
    • October 13, 2006 prob527.R. An R script that is similar to the R commands used in class this day for Problem 5.27.
    • October 16, 2006 prob527.pdf. Output corresponding the script for Problem 5.27.
    • October 18, 2006 aa217.pdf. Illustration of stepwise methods using AIC and BIC. The R commarnds are in aa217.R.
    • October 20, 2006 mmps.pdf. Marginal model plots and residual plots.
    • October 20, 2006 october20.R. All the R commands used in class on October 20..
    • October 25, 2006 aa322.pdf, on three dimensional tables. Get aa322.R, the R commands for this handout.
    • November 1, 2006 fiveway.pdf, on five dimensional tables. Get fiveway.R, the R commands for this handout.
    • November 6, 2006 loglinlogistic.pdf, showing that logistic models are a subclass of log-linear models.
    • November 8, 2006 multlogistic.pdf, showing that multinomial logistic models are also a subclass of log-linear models.
    • November 13, 2006 propodds.pdf, proportional odds models for an ordinal response. Get the corresponding R file.
    • November 15, 2006 constassoc.pdf, constant association for two ordinal responses.
    • November 17, 2006 Ashsow.pdf, A worked example using the Ashford and Sowdon data on coal miners.
    • November 27, 2006 ships.pdf, Get the shipping data on Poisson rate data. Get the R commands in file ships.R.
    • November 29, 2006 incomplete.pdf, Incomplete tables and structural zeroes. Get the R commands in file ships.R.
    • December 1, 2006 a09.R, a file of R commands for working Assignment 9.
    • December 6, 2006 lmer1a.pdf, a simple generalized linear mixed model. Get lmer1a.R, the R commands for this handout.
    • December 6, 2006 mosquito06.pdf, The mosquito data fit as a generalized linear mixed model. Get mosquito06.R, the R commands for this handout.

    Sanford Weisberg
    sandy@stat.umn.edu