Lab activities - JMP version

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Lab 1: 10 Jan

• Lab 1 activities Read this first
• Introduction to JMP and data description

Lab 2: 17 Jan

• Reading space delimited files, Randomization test
• Randomization test add-in
• Lab 2 self assessment

Lab 3: 24 Jan

• Two-sample t-test
• Lab 3 self assessment

Lab 4: 31 Jan

• case0202.txt, Data for Schizophrenia case study
• hamburger.csv, Data for hamburger example (csv format)
• hamburger.xlsx, Data for hamburger example (xlsx format)
• JMP instructions for lab 4 (paired data, transformations, nonparametric tests)
• Lab 4 Self assessment
• fishprice.txt fish price data for self assessment

Lab 5: 7 Feb

• JMP instructions for lab 5 (plotting residuals and drawing QQ plots)
• alanine.csv Alanine data set for self assessment
• Lab 5 self assessment

Lab 6: 14 Feb

• JMP instructions for lab 6 (calculating and storing group averages)
• patty.txt, Data set to illustrate calculating averages
• arabidop.csv, data for lab 6 self assessment
• Lab 6 self assessment

Lab 7: 28 Feb

• Explanation of modeling type, fitting ANOVA models and after the ANOVA analyses in JMP
• case0501.csv, Data for mouse diet/longevity study
• cavity.txt Data for self assessment exercise
• Lab 7 self assessment

Lab 8: 7 Mar

• FDR adjustment, for large numbers of responses
• manyY.csv Data file with raw data for fdr adjustment
• Fitting a simple linear regression
• meat.txt Meat pH vs time data set
• adsales.txt Ad sales data set for lab
• Lab 8 self assessment
• pvalues.csv data file for self assessment
• gfclocks.txt, Data for part 2 self assessment

Lab 9: 21 Mar

• Explanation of more regression: confidence intervals, prediction intervals and the ANOVA lack of fit test
• adsales.txt Ad sales data set for lab
• adsales2.txt Extended ad sales data set for lack of fit test
• Self assessment on more linear regression
• GFCLOCKS.txt data file for self assessment

Lab 10: 28 March

• Multiple regression: scatterplot matrices, correlations, using Fit Model for regressions, creating quadratic and product terms.
• brain.txt Data set for multiple regression
• Self assessment on multiple regression
• tamsales1.txt data file for self assessment

Lab 11: 11 April

• Indicator variables, Regression diagnostics and Model selection
• Bearlog.txt Data file for Model selection instructions.
• Optional additional information about Lab 11 topics.
• Light.txt Data file for light and flowering time study, for Indicator variable construction in the Lab 11 extra document.
• Self assessment on model selection
• modelsel.csv data file for self assessment

Lab 12: 18 April

• 2 way ANOVA, block designs and proportions
• collard.txt Data file for 2 way ANOVA (collard study)
• vitc.txt Data file for proportions (Vitamin C study)
• vitcLong.csv Long form data file for proportions

Lab 12: 18 Apr

• Analyzing 2 way factorials and proportions
• collard.txt Data for collard study
• vitc.txt Data for Vitamin C study
• viotclong.csv Data for Vitamin C study, long format

Lab 13: 25 Apr

• Logistic regression
• donner.csv Donner party data set
• Analysis of counts and Binomial counts
• matings.csv Elephant matings data set