All functions
|
Aids2
|
Australian AIDS Survival Data |
Animals
|
Brain and Body Weights for 28 Species |
Boston
|
Housing Values in Suburbs of Boston |
Cars93
|
Data from 93 Cars on Sale in the USA in 1993 |
Cushings
|
Diagnostic Tests on Patients with Cushing's Syndrome |
DDT
|
DDT in Kale |
GAGurine
|
Level of GAG in Urine of Children |
Insurance
|
Numbers of Car Insurance claims |
Melanoma
|
Survival from Malignant Melanoma |
Null()
|
Null Spaces of Matrices |
OME
|
Tests of Auditory Perception in Children with OME |
Pima.tr Pima.tr2 Pima.te
|
Diabetes in Pima Indian Women |
Rabbit
|
Blood Pressure in Rabbits |
Rubber
|
Accelerated Testing of Tyre Rubber |
SP500
|
Returns of the Standard and Poors 500 |
Sitka
|
Growth Curves for Sitka Spruce Trees in 1988 |
Sitka89
|
Growth Curves for Sitka Spruce Trees in 1989 |
Skye
|
AFM Compositions of Aphyric Skye Lavas |
Traffic
|
Effect of Swedish Speed Limits on Accidents |
UScereal
|
Nutritional and Marketing Information on US Cereals |
UScrime
|
The Effect of Punishment Regimes on Crime Rates |
VA
|
Veteran's Administration Lung Cancer Trial |
abbey
|
Determinations of Nickel Content |
accdeaths
|
Accidental Deaths in the US 1973-1978 |
addterm()
|
Try All One-Term Additions to a Model |
anorexia
|
Anorexia Data on Weight Change |
anova(<negbin>)
|
Likelihood Ratio Tests for Negative Binomial GLMs |
area()
|
Adaptive Numerical Integration |
bacteria
|
Presence of Bacteria after Drug Treatments |
bandwidth.nrd()
|
Bandwidth for density() via Normal Reference Distribution |
bcv()
|
Biased Cross-Validation for Bandwidth Selection |
beav1
|
Body Temperature Series of Beaver 1 |
beav2
|
Body Temperature Series of Beaver 2 |
biopsy
|
Biopsy Data on Breast Cancer Patients |
birthwt
|
Risk Factors Associated with Low Infant Birth Weight |
boxcox()
|
Box-Cox Transformations for Linear Models |
cabbages
|
Data from a cabbage field trial |
caith
|
Colours of Eyes and Hair of People in Caithness |
cats
|
Anatomical Data from Domestic Cats |
cement
|
Heat Evolved by Setting Cements |
chem
|
Copper in Wholemeal Flour |
con2tr()
|
Convert Lists to Data Frames for use by lattice |
confint(<glm>) confint(<nls>)
|
Confidence Intervals for Model Parameters |
contr.sdif()
|
Successive Differences Contrast Coding |
coop
|
Co-operative Trial in Analytical Chemistry |
corresp()
|
Simple Correspondence Analysis |
cov.rob() cov.mve() cov.mcd()
|
Resistant Estimation of Multivariate Location and Scatter |
cov.trob()
|
Covariance Estimation for Multivariate t Distribution |
cpus
|
Performance of Computer CPUs |
crabs
|
Morphological Measurements on Leptograpsus Crabs |
deaths
|
Monthly Deaths from Lung Diseases in the UK |
denumerate()
|
Transform an Allowable Formula for 'loglm' into one for 'terms' |
dose.p()
|
Predict Doses for Binomial Assay model |
drivers
|
Deaths of Car Drivers in Great Britain 1969-84 |
dropterm()
|
Try All One-Term Deletions from a Model |
eagles
|
Foraging Ecology of Bald Eagles |
epil
|
Seizure Counts for Epileptics |
eqscplot()
|
Plots with Geometrically Equal Scales |
farms
|
Ecological Factors in Farm Management |
fgl
|
Measurements of Forensic Glass Fragments |
fitdistr()
|
Maximum-likelihood Fitting of Univariate Distributions |
forbes
|
Forbes' Data on Boiling Points in the Alps |
fractions()
|
Rational Approximation |
galaxies
|
Velocities for 82 Galaxies |
gamma.dispersion()
|
Calculate the MLE of the Gamma Dispersion Parameter in a GLM Fit |
gamma.shape(<glm>)
|
Estimate the Shape Parameter of the Gamma Distribution in a GLM Fit |
gehan
|
Remission Times of Leukaemia Patients |
genotype
|
Rat Genotype Data |
geyser
|
Old Faithful Geyser Data |
gilgais
|
Line Transect of Soil in Gilgai Territory |
ginv()
|
Generalized Inverse of a Matrix |
glm.convert()
|
Change a Negative Binomial fit to a GLM fit |
glm.nb()
|
Fit a Negative Binomial Generalized Linear Model |
glmmPQL()
|
Fit Generalized Linear Mixed Models via PQL |
hills
|
Record Times in Scottish Hill Races |
hist.scott() hist.FD()
|
Plot a Histogram with Automatic Bin Width Selection |
housing
|
Frequency Table from a Copenhagen Housing Conditions Survey |
huber()
|
Huber M-estimator of Location with MAD Scale |
hubers()
|
Huber Proposal 2 Robust Estimator of Location and/or Scale |
immer
|
Yields from a Barley Field Trial |
isoMDS() Shepard()
|
Kruskal's Non-metric Multidimensional Scaling |
kde2d()
|
Two-Dimensional Kernel Density Estimation |
lda()
|
Linear Discriminant Analysis |
ldahist()
|
Histograms or Density Plots of Multiple Groups |
leuk
|
Survival Times and White Blood Counts for Leukaemia Patients |
lm.gls()
|
Fit Linear Models by Generalized Least Squares |
lm.ridge()
|
Ridge Regression |
loglm()
|
Fit Log-Linear Models by Iterative Proportional Scaling |
logtrans()
|
Estimate log Transformation Parameter |
lqs() lmsreg() ltsreg()
|
Resistant Regression |
mammals
|
Brain and Body Weights for 62 Species of Land Mammals |
mca()
|
Multiple Correspondence Analysis |
mcycle
|
Data from a Simulated Motorcycle Accident |
menarche
|
Age of Menarche in Warsaw |
michelson
|
Michelson's Speed of Light Data |
minn38
|
Minnesota High School Graduates of 1938 |
motors
|
Accelerated Life Testing of Motorettes |
muscle
|
Effect of Calcium Chloride on Muscle Contraction in Rat Hearts |
mvrnorm()
|
Simulate from a Multivariate Normal Distribution |
negative.binomial()
|
Family function for Negative Binomial GLMs |
newcomb
|
Newcomb's Measurements of the Passage Time of Light |
nlschools
|
Eighth-Grade Pupils in the Netherlands |
npk
|
Classical N, P, K Factorial Experiment |
npr1
|
US Naval Petroleum Reserve No. 1 data |
oats
|
Data from an Oats Field Trial |
painters
|
The Painter's Data of de Piles |
pairs(<lda>)
|
Produce Pairwise Scatterplots from an 'lda' Fit |
parcoord()
|
Parallel Coordinates Plot |
petrol
|
N. L. Prater's Petrol Refinery Data |
phones
|
Belgium Phone Calls 1950-1973 |
plot(<lda>)
|
Plot Method for Class 'lda' |
plot(<mca>)
|
Plot Method for Objects of Class 'mca' |
plot(<profile>) pairs(<profile>)
|
Plotting Functions for 'profile' Objects |
polr()
|
Ordered Logistic or Probit Regression |
predict(<glmmPQL>)
|
Predict Method for glmmPQL Fits |
predict(<lda>)
|
Classify Multivariate Observations by Linear Discrimination |
predict(<lqs>)
|
Predict from an lqs Fit |
predict(<mca>)
|
Predict Method for Class 'mca' |
predict(<qda>)
|
Classify from Quadratic Discriminant Analysis |
profile(<glm>)
|
Method for Profiling glm Objects |
qda()
|
Quadratic Discriminant Analysis |
quine
|
Absenteeism from School in Rural New South Wales |
rational()
|
Rational Approximation |
renumerate()
|
Convert a Formula Transformed by 'denumerate' |
rlm() psi.huber() psi.hampel() psi.bisquare()
|
Robust Fitting of Linear Models |
rms.curv()
|
Relative Curvature Measures for Non-Linear Regression |
rnegbin()
|
Simulate Negative Binomial Variates |
road
|
Road Accident Deaths in US States |
rotifer
|
Numbers of Rotifers by Fluid Density |
sammon()
|
Sammon's Non-Linear Mapping |
ships
|
Ships Damage Data |
shoes
|
Shoe wear data of Box, Hunter and Hunter |
shrimp
|
Percentage of Shrimp in Shrimp Cocktail |
shuttle
|
Space Shuttle Autolander Problem |
snails
|
Snail Mortality Data |
stdres()
|
Extract Standardized Residuals from a Linear Model |
steam
|
The Saturated Steam Pressure Data |
stepAIC()
|
Choose a model by AIC in a Stepwise Algorithm |
stormer
|
The Stormer Viscometer Data |
studres()
|
Extract Studentized Residuals from a Linear Model |
summary(<loglm>)
|
Summary Method Function for Objects of Class 'loglm' |
summary(<negbin>)
|
Summary Method Function for Objects of Class 'negbin' |
summary(<rlm>)
|
Summary Method for Robust Linear Models |
survey
|
Student Survey Data |
synth.tr synth.te
|
Synthetic Classification Problem |
theta.md() theta.ml() theta.mm()
|
Estimate theta of the Negative Binomial |
topo
|
Spatial Topographic Data |
truehist()
|
Plot a Histogram |
ucv()
|
Unbiased Cross-Validation for Bandwidth Selection |
waders
|
Counts of Waders at 15 Sites in South Africa |
whiteside
|
House Insulation: Whiteside's Data |
width.SJ()
|
Bandwidth Selection by Pilot Estimation of Derivatives |
write.matrix()
|
Write a Matrix or Data Frame |
wtloss
|
Weight Loss Data from an Obese Patient |