SAS Programs

These are links to examples used in this course along with the necessary files or data sets that are required. Use this list to review the concepts and procedures that are covered in this course. Follow the link to the page within the course for more detail explanations, animated walk-throughs of these examples and/or additional related files.

The Topic / Procedure Code or Data files Lesson Page
Finding descriptive statistics nutrient.txt
nutrient.sas		 1.4 - Example
Finding generalized variance nutrient3.sas
MATRIXDET.mac		 1.6 - Example: Women's Nutrition Data
Creating plots of the bivariate normal distribution normplot.sas
phi_equation_r=0.7.txt		 4.2 - Example: Bivariate Normal Distribution
Calculating Mahalonobis distances mahalonobis.sas 4.3 - Exponent of Multivariate Normal Distribution
Producing QQ plots Q_Qplot.sas 4.4 - Multivariate Normality and Outliers
Producing a covariance matrix for a dataset wechsler.sas
wechsler.txt		 4.7 - Example: Wechsler Adult Intelligence Scale
Plotting a 95% confidence ellipse corresponding to a specified variance-covariance matrix ellplot.sas 4.9 - Special Cases: p = 2
Generate confidence intervals for population means CI_pop_means.sas 5.2 - Interval Estimate of Population Mean
Partial correlation wechsler2.sas 6.2 - Example: Wechsler Adult Intelligence Scale
Hotelling's \(T^{2}\) test nutrient4.sas
nutrient.txt		 7.1.4 - Example: Women’s Nutrition Data and Associated Confidence Intervals
Simultaneous confidence intervals nutrient5.sas 7.1.4 - Example: Women’s Nutrition Data (Simultaneous Confidence Intervals)
Profile plots nutrient6.sas 7.1.5 - Profile Plots
Paired Hotelling's \(T^{2}\) test spouse.sas
spouse.txt		 7.1.9 - Example: Spouse Data
Simultaneous Bonferroni Confidence intervals spouse1a.sas 7.1.10 - Confidence Intervals
Paired Hotelling's \(T^{2}\) test: Matching Perceptions spouse2.sas 7.1.11 - Question 2: Matching Perceptions
2 Sample Hotelling's \(T^{2}\) test

swiss10.sas

swiss3.txt

 7.1.15 - The Two-Sample Hotelling's T-Square Test Statistic
Check for Normality potterya.sas
pottery.txt		 8.4 - Example: Pottery Data - Checking Model Assumptions
MANOVA pottery.sas 8.5 - Example: MANOVA of Pottery Data
Split-Plot Analysis dog2.sas
dog1.txt		 9.2 - An Example
Repeated Measures dog.sas 9.4 - Approach 2 - MANOVA
Mixed Model Analysis dog3.sas 9.7 - Approach 3 - Mixed Model Analysis
Test for homogeneity of the variance-covariance matrices using Bartlett's test insect.sas
insect.txt		 10.4 - Example: Insect Data
Bartlett's test to check for homogeneity of the variance-covariance matrices swiss9.sas
swiss1.txt		 10.7 - Example: Swiss Bank Notes
Principal component procedures places.sas
places.txt		 11.3 - Example: Places Rated
Principal component procedures using the standardized data places1.sas 11.6 - Example: Places Rated after Standardization
Factor Analysis places2.sas 12.4 - Example: Places Rated Data - Principal Component Method
Factor Analysis - Maximum Likelihood method places3.sas 12.8 - Example: Places Rated Data
Canonical Correlation Analysis sales.sas
sales.txt		 13.2 - Example: Sales Data
Cluster Analysis - Complete Linkage wood1.sas
wood.txt		 14.5 - Agglomerative Method Example
Cluster Analysis - Ward's Method wood5.sas 14.7 - Ward’s Method
Cluster Analysis - K-Means wood6.sas 14.9 - Defining Initial Clusters