Statistics 524 Fall 2008
Applied Multivariate Statistical Analysis
Prof.: Bowei Xi
Classes: MWF 1:30-2:20, REC 309
Office Hours: W 2:30-3:20pm, Th 10-11:30am
Grader: Yanhui Mi, ymi@purdue.edu
Thu Dec.4 office hour: 12:30-2pm
Please fill up the course evaluation form online. You will receive an email which
contains a URL (they won't send this URL to me).
Final exam will be posted on Sat Morning Dec 13 at 9:30am, due on Tue Dec 16 by 4pm.
Please bring a hard copy directly to my office.
Midterm Solution
Class Notes
Proc CAPABILITY
LogNormal Probability Plot
Weibull Probability Plot
PROC UNIVARIATE
PROC CORR
PROC GLM for partial
correlation
PCA: Temperatures
SAS macro %plotit
PCA: Crime Rate
PCA: Eropean Job
PCA: NFL
PCA biplot
FA 3 note
FA 5 note
a FA paper
Canonical Correlation Analysis
Reading Material
GGobi
Random Forest
SAS and R Code
Please run the programs, print out output and bring them to the class.
bi_norm.sas
qq.sas
cqplot.sas
chi.sas
weibull.sas
lognormal.sas
summary.sas
corr.sas
Partial Correlation
PCA 1 (cov)
PCA (cov): places.sas
PCA (corr): places.corr.sas
PCA 2
European Job: PCA
NFL: PCA
PCA: biplot R code
FA 1
FA: places.txt 1
FA: places.txt 2
FA 3
FA 4
FA 5
CCA 1
CCA 2
CCA 3
CCA 4
biplot macro
CCA 5
CCA 6
Clustering: distance
Complete Linkage
Avergage Linkage
Centroid Linkage
Single Linkage
Ward's Method
K Means 1
K Means 2
Clustering: iris
Clustering: mile
Clustering: outlier
MDS 1
MDS 2
MDS 3
MDS 4
MDS 5
MDS 6
MDS 7
Correspondence Analysis: SAS Code
Correspondence Analysis: Explanations for SAS
Code
Correspondence Analysis 2
Linear Discriminant Analysis
Quadratic Discriminant Analysis
Nearest Neighbor: selecting K
Iris 1
Iris 2
Iris 3
Stepwise Discriminant Analysis
Basic R commands
Classification R Code
DATA
T1-2.DAT
wechsler.txt
places.txt
HW3 Data
HW4 T1-5.DAT
HW4 T8-5.DAT
NFL Data
NFL Documentation
Crime Data
sales.txt
chem.dat
wood.txt
swiss1.txt
swiss2.txt
gala.data
newfish.dat
newfishq.dat
newfish.test.txt
SAS Sources
R