[ Data Screening || Matrix Algebra with SAS/IML || Regression analysis || General Linear Models || Canonical correlation, Discriminant analysis || Logistic Regression || Factor Analysis || Clustering and scaling || SAS macro programs || Data sets || Programs]

## GLM examples

These tutorial illustrate a variety of methods involved multivariate analyses with the General Linear Model (MANOVA, ANCOVA, etc).
alzhplt.sas
Alzheimer data: plots using the CONTOUR macro and CANPLOT macro.
ancova1.sas
One way ANCOVA example (Freund & Littell, Ch 5)
ancova2.sas
Two way ANCOVA design without interaction
ancova3.sas
Ancova, distinct X for each Y
bees.sas
Two-way factorial with appended control group
dmanova.sas
Doubly Multivariate design: Tests of hypotheses.
dmanovap.sas
Doubly Multivariate design: Plotting means using the MEANPLOT macro.
fpower3.sas
Power computations for F test in Balanced Designs
heplot1.sas
HE-plot for Alzheimer data (HEPLOT macro)
heplot2.sas
HE-plot for Two Way Manova Example.
hotel.sas
Two Sample Hotelling T2. Illustrates several ways to perform a two group Holtelling T2 analysis, and the fact that T2 equals the square of the ordinary t-statistic on the discriminant scores.
m1power.sas
Retrospective Power Analysis: OneWay MANOVA Design
m1way.sas
Dog Food: One Way Completely Randomized Manova Design.
m1wayplt.sas
Dog Food: One Way Completely Randomized Manova Design.
manova1.sas
Two group MANOVA - CANDISC example. Compares MANOVA with canonical discriminant analysis, and illustrates how to obtain discriminant scores.
manova3.sas
Two Way Manova Example. A simple two way MANOVA. The data are from Morrison.
manova4.sas
Sleeping Dog Data: Johnson and Wichern (1992, p. 228).
mpower1.sas
Multivariate power analysis: One-Way design
mpower2.sas
Two Way Manova Example: Power analysis
m1power.sas
Retrospective Power Analysis: OneWay MANOVA Design
m1way.sas
Dog Food: One Way Completely Randomized Manova Design
oral.sas
2 sample T Square data from Timm
oralpowr.sas
Two Sample Multivariate Power Analysis
orpol.sas
Calculating custom orthogonal polynomial contrastswitn SAS/IML
probe1.sas
Profile Analysis Example: PROBE1 (Timm, Ex. 3.14)
probe2.sas
Profile Analysis Example: PROBE2 (Timm, Ex. 3.16)
repmes3.sas
3 Factor Design with 1 Repeated Measure
repm2.sas
Univariate mixed model approach
repm5.sas
Three factor design with repeated measures
repm6.sas
Repeated measures: Balanced vs. Unbalanced data
vocab.sas
Vocabulary Growth Study: Repeated measures analysis. Data from the University of Chicago Laboratory School on a cohort of grade 8-11 students on the vocabulary section of the Cooperative Reading Test.