Man pages for profpetrie/regclass
Tools for an Introductory Class in Regression and Modeling

ACCOUNTPredicting whether a customer will open a new kind of account
all_correlationsPairwise correlations between quantitative variables
APPLIANCEAppliance shipments
associateAssociation Analysis
ATTRACTFAttractiveness Score (female)
ATTRACTMAttractiveness Score (male)
AUTOAUTO dataset
BODYFATBODYFAT data
BODYFAT2Secondary BODYFAT dataset
build.modelVariable selection for descriptive or predictive linear and...
build.treeExploratory building of partition models
BULLDOZERBULLDOZER data
BULLDOZER2Modified BULLDOZER data
CALLSCALLS dataset
CENSUSCENSUS data
CENSUSMLRSubset of CENSUS data
CHARITYCHARITY dataset
check.regressionLinear and Logistic Regression diagnostics
choose.orderChoosing order of a polynomial model
CHURNCHURN dataset
confusion.matrixConfusion matrix for logistic regression models
cor.demoCorrelation demo
cor.matrixCorrelation Matrix
CUSTCHURNCUSTCHURN dataset
CUSTLOYALTYCUSTLOYALTY dataset
CUSTREACQUIRECUSTREACQUIRE dataset
CUSTVALUECUSTVALUE dataset
DIETDIET data
DONORDONOR dataset
EDUCATIONEDUCATION data
EX2.CENSUSCENSUS data for Exercise 5 in Chapter 2
EX2.TIPSTIPS data for Exercise 6 in Chapter 2
EX3.ABALONEABALONE dataset for Exercise D in Chapter 3
EX3.BODYFATBodyfat data for Exercise F in Chapter 3
EX3.HOUSINGHousing data for Exercise E in Chapter 3
EX3.NFLNFL data for Exercise A in Chapter 3
EX4.BIKEBike data for Exercise 1 in Chapter 4
EX4.STOCKPREDICTStock data for Exercise 2 in Chapter 4 (prediction set)
EX4.STOCKSStock data for Exercise 2 in Chapter 4
EX5.BIKEBIKE dataset for Exercise 4 Chapter 5
EX5.DONORDONOR dataset for Exercise 4 in Chapter 5
EX6.CLICKCLICK data for Exercise 2 in Chapter 6
EX6.DONORDONOR dataset for Exercise 1 in Chapter 6
EX6.WINEWINE data for Exercise 3 Chapter 6
EX7.BIKEBIKE dataset for Exercise 1 Chapters 7 and 8
EX7.CATALOGCATALOG data for Exercise 2 in Chapters 7 and 8
EX9.BIRTHWEIGHTBirthweight dataset for Exercise 1 in Chapter 9
EX9.NFLNFL data for Exercise 2 Chapter 9
EX9.STOREData for Exercise 3 Chapter 9
extrapolation.checkA crude check for extrapolation
find.transformationsTransformations for simple linear regression
FRIENDFriendship Potential vs. Attractiveness Ratings
FUMBLESWins vs. Fumbles of an NFL team
generalization.errorCalculating the generalization error of a model on a set of...
getcpComplexity Parameter table for partition models
influence_plotInfluence plot for regression diganostics
JUNKJunk-mail dataset
LARGEFLYERInterest in frequent flier program (large version)
LAUNCHNew product launch data
mosaicMosaic plot
MOVIEMovie grosses
NFLNFL database
OFFENSESome offensive statistics from 'NFL' dataset
outlier_demoInteractive demonstration of the effect of an outlier on a...
overfit.demoDemonstration of overfitting
PIMAPima Diabetes dataset
POISONCockroach poisoning data
possible.regressionsIllustrating how a simple linear/logistic regression could...
PRODUCTSales of a product one quarter after release
PURCHASEPURCHASE data
qqQQ plot
SALARYHarris Bank Salary data
see.interactionsExamining pairwise interactions between quantitative...
see.modelsExamining model AICs from the "all possible" regressions...
segmented.barchartSegmented barchart
SMALLFLYERInterest in a frequent flier program (small version)
SOLD26Predicting future sales
SPEEDSpeed vs. Fuel Efficiency
STUDENTSTUDENT data
summarize.treeUseful summaries of partition models from rpart
SURVEY09Student survey 2009
SURVEY10Student survey 2010
SURVEY11Student survey 2011
TIPSTIPS dataset
VIFVariance Inflation Factor
visualize.modelVisualizations of one or two variable linear or logistic...
visualize.relationshipVisualizing the relationship between y and x in a partition...
WINEWINE data
profpetrie/regclass documentation built on May 24, 2017, 12:11 p.m.