airspeed |
Air speed experiment data |
anscombeplus |
Six data sets with similar regression summary |
appletree |
Apple yield with cropping under tree |
basis |
Basis of column space of a matrix |
binaries |
Convert categorical variable to several binary variables |
cisimult |
Simultaneous confidence intervals in a linear model |
cisngl |
Confidence interval for a linear parametric function in a linear model |
cisv |
Table of condition indices and singular vectors |
compbasis |
Basis of orthogonal complement of column space of a matrix |
confelps |
Confidence ellipsiod for multiple parameters in a linear model. |
denim |
Abrasion of denim jeans |
drugprice |
Price of drugs under generic and brand names |
frob |
Frobenius norm of a matrix |
ganova |
ANOVA table for linear hypothesis in a linear model |
girlgrowth |
Growth data for girls |
hanova |
ANOVA table for adequacy of a subset in a linear model) |
hiv |
HIV data |
hoop |
Hoop tree data |
hypsplit |
Testable and untestable hypotheses in linear model |
hyptest |
Test of a linear hypothesis in a linear model |
imf2015 |
IMF unemployment data |
intsectbasis |
Basis of intersection of two column spaces |
Iris |
Fisher's Iris data |
is.included |
Whether one column space is contained in another |
ivif |
Intercept augmented variance inflation factors |
kinks |
Kink bands in rocks |
LAcrime |
LA crime and temperature data |
leprosy |
Treatment of leprosy |
lifelength |
Age at death |
multcomp |
Multiple comparison tests |
olympic |
Olympic sprint finals data |
poison |
Survival times of poisoned animals |
projector |
Orthogonal projector of a matrix |
skulls |
Egyptian skull development |
splett2 |
Energy data |
stars1 |
Stars data 1 |
stars2 |
Stars data 2 |
supplbasis |
Supplementary basis vectors for column space of a matrix |
tr |
Trace of matrix |
trout |
Brown trout hemoglobin data |
waist |
Waist circumference and adipose tissue data |
worldpop |
World population data |
worldrecord |
World record running times data |
Wright |
Wright brothers' wind tunnel data |
yX |
Prepare design matrix for two way layout with single oberservation per cell |
yXm |
Prepare design matrix for balanced two way layout |
yXn |
Prepare design matrix for nested model with groups and subgroups |