Practical Data Analysis Examples
This directory contains examples from
Brian Yandell's
book
Practical Data Analysis for Designed Experiments.
File suffixes used in subdirectories include the following:
*.dat data
*.sdat data for S or Splus (if there are missing data)
*.sas SAS instructions (sometimes called "source")
*.log SAS log (check for errors)
*.lst SAS listing (sometimes called "output")
*.prt SAS condensed listings (from the saspr command)
*.s S (or Splus) instructions (or source files)
*.sink S listing
*.script S session using UNIX "script" command
*.tex LaTeX source
*.ps Postscript
*.html HyperText
Proper credit:
If you use an algorithm, dataset, or other information from here,
please acknowledge both PDA and the original
contributor of the material.
Design
Tomato
| Cloning
| Diet
Bacteria
| Biotron
| Budding
| Company
| Prefer
| Running
| Tukey
BST
| Growth
| Hardy
| Oocyte
| Product
Count
Cloning
| Growth
| Genss
| Variance
Damage
| Diet
| Drying
| Feed
| Hardy
| Iris
| Iron
| Leprosy
| Wasp
Random
| Select
| Wheat
Alfalfa
| Bacteria
| Berry
| Brassica
| Drying
| Forage
| Grain
| Hardy
| Potato
| Strip
| Tomato
Chew
| Drink
| Paddock
| Rumen
| Season
| Tree
- Alfalfa
- analysis of covariance in nested design
- Bacteria
- balanced factorial
- philosophical challenge in nesting:
assignment of treatment to egg or room?
- Berry
- RCB, split plot, repeated measures
- Brassica
- RCB, 2 years, split plot, slight change year to year
- Budding
- 3 levels, additive and dominance?
- Chew
- two periods, polynomial contrasts
- Cloning
- one-factor ANOVA, multiple comparisons, unequal variance
- Diet
- analysis of covariance with blocks
- Drink
- complicated crossover design
- Drying
- nested design with covariate
- Feed
- one factor ancova with polynomial contrasts
- Forage
- split plot with two-factor in whole plot
- Grain
- RCB on farm trial
- Growth
- missing cell, transform, zeroes
- Hardy
- one factor with many levels, many responses
- nesting
- two-factor, ancova
- Iris
- ancova / discriminant analysis
- Iron
- error in variables
- Oocyte
- unbalanced factorial design
- Paddock
- complicated repeated measures
- Potato
- subsampling
- Product
- Taguchi L18 design -- planned missing cells
- Rumen
- split plot, replicated Latin square
- Running
- blocking, 3 factors
- Season
- repeated measures, missing data
- Select
- completely nested, fixed effects, selection
- Tomato
- nested design over 2 years, contrasts
- Tree
- repeated measures
- Wasp
- ancova / discriminant analysis
- Wheat
- completely nested, random effects
- Biotron
- RCBD
- Bst
- unbalanced factorial, contrasts
- Company
- RCBD
- Damage
- error in variables
- Genss
- simulate distribution of sums of squares
- Leprosy
- ancova from Snedecor and Cochran
- Prefer
- CRD and RCB (fictional data)
- Random
- random effects models
- Strip
- split strip plot (fictional data)
- Tukey
- Tukey and Mandel interaction plots/tests
- Variance
- testing with unequal variances
These do not have data associated with them.
- Carry
- cross-over design
- Design
- design schematics
- Missing
- missing data schematics
- Nested
- nested design schematics
- Path
- path diagrams
- Random
- random effects
Last modified: Mon Mar 2 14:34:14 1998 by Brian Yandell
(yandell@stat.wisc.edu)