msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
Version 1.1.0

Contains necessary Multivariate Analysis methods and data sets used in John Marden's book Multivariate Statistics: Old School (2015) . This is also serves as a companion package for the STAT 571: Multivariate Analysis course at the University of Illinois at Urbana-Champaign (UIUC).

Browse man pages Browse package API and functions Browse package files

AuthorJohn Marden [aut, cph], James Balamuta [cre, ctb, com]
Date of publication2017-04-27 10:20:52 UTC
MaintainerJames Balamuta <james.balamuta@gmail.com>
LicenseMIT + file LICENSE
Version1.1.0
URL https://github.com/coatless/msos
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("msos")

Man pages

births: Birthrates throughout the day in four Hospitals
bothsidesmodel: Calculate the least squares estimates
bothsidesmodel.chisquare: Test subsets of beta are zero
bothsidesmodel.df: Obtain the degrees of freedom for a model.
bothsidesmodel.hotelling: Test blocks of beta are zero.
bothsidesmodel.lrt: Test subsets of beta are zero.
bothsidesmodel.mle: Calculate the maximum likelihood estimates
bsm.fit: Helper function to determine beta estimates for MLE...
bsm.simple: Helper function to determine beta estimates for MLE...
caffeine: The Effects of Caffeine
cars: Automobile Data from Consumer Reports
cereal: Cereal
crabs: Morphological Measurements on Leptograpsus Crabs
decathlon08: Decathlon Event Data from 2008 Olympics.
decathlon12: Decathlon Event Data from 2012 Olympics.
election: Presidential Election Data
exams: Statistics Students' Scores on Exams
fillout: Make a square matrix
grades: Grades
histamine: Histamine in Dogs
imax: Obtain largest value index
lda: Linear Discrimination
leprosy: Leprosy Patients
logdet: Log Determinant
mouths: Mouth Sizes
msos-package: msos: Data Sets and Functions Used in Multivariate...
negent: Estimating negative entropy
negent2D: Maximizing negentropy for q = 2 dimensions
negent3D: Maximizing negentropy for Q = 3 dimensions
painters: The Painter's Data of de Piles
pcbic: BIC for a particular pattern Find the BIC and MLE from a set...
pcbic.stepwise: Choosing a good pattern
pcbic.subpatterns: Obtain the best subpattern among the patterns.
pcbic.unite: Obtain pattern
planets: Planets
predict_qda: Quadratic discrimination prediction
prostaglandin: Prostaglandin
qda: Quadratic discrimination
reverse.kronecker: Reverses the matrices in a Kronecker product
SAheart: South African Hearth Disease Data
silhouette.km: Silhouettes for K-Means Clustering
skulls: Egyptian Skulls
softdrinks: Soft Drinks
sort_silhouette: Sort the silhouettes by group
Spam: Spam
sportsranks: Sports ranking
states: States
tr: Trace of a Matrix

Functions

SAheart Man page
Spam Man page
births Man page
bothsidesmodel Man page Source code
bothsidesmodel.chisquare Man page Source code
bothsidesmodel.df Man page Source code
bothsidesmodel.hotelling Man page Source code
bothsidesmodel.lrt Man page Source code
bothsidesmodel.mle Man page Source code
bsm.fit Man page Source code
bsm.simple Man page Source code
caffeine Man page
cars Man page
cereal Man page
crabs Man page
decathlon08 Man page
decathlon12 Man page
election Man page
exams Man page
fillout Man page Source code
grades Man page
histamine Man page
imax Man page Source code
lda Man page Source code
leprosy Man page
logdet Man page Source code
mouths Man page
msos Man page
msos-package Man page
negent Man page Source code
negent2D Man page Source code
negent3D Man page Source code
painters Man page
pcbic Man page Source code
pcbic.stepwise Man page Source code
pcbic.subpatterns Man page Source code
pcbic.unite Man page Source code
planets Man page
predict_qda Man page Source code
prostaglandin Man page
qda Man page Source code
reverse.kronecker Man page Source code
silhouette.km Man page Source code
skulls Man page
softdrinks Man page
sort_silhouette Man page Source code
sportsranks Man page
states Man page
tr Man page Source code

Files

NAMESPACE
NEWS.md
data
data/leprosy.rda
data/exams.rda
data/Spam.rda
data/mouths.rda
data/prostaglandin.rda
data/sportsranks.rda
data/grades.rda
data/births.rda
data/cereal.rda
data/planets.rda
data/states.rda
data/crabs.rda
data/cars.rda
data/caffeine.rda
data/histamine.rda
data/decathlon12.rda
data/painters.rda
data/election.rda
data/SAheart.rda
data/softdrinks.rda
data/decathlon08.rda
data/skulls.rda
R
R/bothsidesmodel.lrt.R
R/bothsidesmodel.chisquare.R
R/bsm.fit.R
R/bothsidesmodel.df.R
R/lda.R
R/pcbic.unite.R
R/bothsidesmodel.hotelling.R
R/pcbic.subpatterns.R
R/negent2D.R
R/reverse.kronecker.R
R/silhouette.km.R
R/qda.R
R/pcbic.R
R/imax.R
R/bothsidesmodel.mle.R
R/negent3D.R
R/datasets-doc.R
R/tr.R
R/fillout.R
R/bsm.simple.R
R/logdet.R
R/negent.R
R/pcbic.stepwise.R
R/bothsidesmodel.R
R/msos-internal.R
R/predict_qda.R
R/sort_silhouette.R
README.md
MD5
DESCRIPTION
man
man/decathlon12.Rd
man/bothsidesmodel.chisquare.Rd
man/states.Rd
man/pcbic.Rd
man/decathlon08.Rd
man/histamine.Rd
man/reverse.kronecker.Rd
man/grades.Rd
man/msos-package.Rd
man/sort_silhouette.Rd
man/silhouette.km.Rd
man/imax.Rd
man/fillout.Rd
man/bothsidesmodel.hotelling.Rd
man/pcbic.subpatterns.Rd
man/pcbic.stepwise.Rd
man/bothsidesmodel.lrt.Rd
man/lda.Rd
man/births.Rd
man/bsm.fit.Rd
man/bothsidesmodel.df.Rd
man/SAheart.Rd
man/softdrinks.Rd
man/sportsranks.Rd
man/painters.Rd
man/negent2D.Rd
man/Spam.Rd
man/cereal.Rd
man/bothsidesmodel.Rd
man/qda.Rd
man/skulls.Rd
man/leprosy.Rd
man/pcbic.unite.Rd
man/bothsidesmodel.mle.Rd
man/bsm.simple.Rd
man/negent3D.Rd
man/logdet.Rd
man/cars.Rd
man/election.Rd
man/mouths.Rd
man/crabs.Rd
man/tr.Rd
man/caffeine.Rd
man/prostaglandin.Rd
man/predict_qda.Rd
man/exams.Rd
man/planets.Rd
man/negent.Rd
LICENSE
msos documentation built on May 19, 2017, 8:45 a.m.