SAS files for the Hair et. al. Textbook
- The "term and definition" list below names and describes
each of the files related to the textbook analyses. The files can be found
in http://www.gsu.edu/~dscbms/dsc8450/dos.zip or in the file at
in the directory ~dscbms/files on the panther and cheetah unix
computers.
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- hatco
- The data set containing only the 100 observations. Each SAS analysis
program file reads this file automatically.
- hatco.clus (.c)
- A cluster analysis.
- hatco.clus.pca (.cp)
- A cluster analysis with variables preprocessed using principle components
analysis.
- hatco.cor
- PROC COR
- hatco.cor.manl (.cm)
- Using IMSL to manually calculate correlations.
- hatco.disc.univ (.dun)
- PROC UNIVARIATE on discriminant analysis data.
- hatco.disc2 (.d2)
- PROC DISCRIM without any holdout sample.
- hatco.discHold.2 (.dh2)
- PROC DISCRIM with separate calibration and holdout samples. This example
is somewhat tortured in order to exactly replicate the calibration and
holdout samples of Hair et al's. The torture involves arcane extra SAS
code in DATA steps to subdivide the data.
- hatco.discHold.2.can1 (.dhc)
- Same as hatco.discHold.2 with additional plot of data relative
to the discriminant function can1 and with the option ANOVA that provides
univariate statistics for testing the hypothesis that the class means are
equal in the population for each variable.
- hatco.discHold.3 (.dh3)
- This example is NOT covered in this class. A 3 group discriminant analysis
is much more complicated than a 2 group analysis.
- hatco.discRndm (.dr)
- PROC DISCRIM is used on a randomly selected pair of calibration (60%)
and holdout (40%) samples. The method of selecting the subsamples is extremely
crude and produces the desired percentages only approximately. (Another
method for randomizing is shown as a SAS example in the link "Introduction
to SAS".
- hatco.discU (.du)
- PROC DISCRIM uses Lachenbruch's U method for validation.
- hatco.fac
- PROC FACTOR is applied to only 6 variables as in Hair et al's example.
- hatco.fac7 (.fc7)
- PROC FACTOR is applied to all 7 variables.
- hatco.manov (.man)
- This example is NOT covered in this class. A 3 group discriminant analysis
is much more complicated than a 2 group analysis.
- hatco.multiv.normal (.mnl)
- Using IMSL to manually perform a test of the assumption that a set
of variables follow a multivariate normal probability distribution.
- hatco.princ.univ (.pru)
- Using PROC PRINCOMP to perform a principle components analysis.
- hatco.reg
- PROC REG
- hatco.reg.resids (.res)
- PROC PLOT residuals plot for which unique plotting symbols are constructed.
- hatco.scatter (.sct)
- PROC PLOT squeezing several plots onto a printed page.
- hatco.standard (.std)
- PROC STANDARD for standardizing variable values.
- hatco.univ (.unv)
- PROC UNIVARIATE
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