A B C D E F G H I J K L M N O P Q R S T V W

agrostis | Agrostis variabilis cover measurements |

aids | Aids and veterans dataset |

alfalfa.split.plot | An agricultural split plot design |

alpha.div | Functions for calculating alpha diversity. |

anm.ci | Animation demonstrations of confidence intervals. |

anm.ci.tck | Animation demonstrations of confidence intervals. |

anm.coin | Animated demonstration of frequentist binomial convergence of probability using a coin flip. |

anm.coin.tck | Animated demonstration of frequentist binomial convergence of probability using a coin flip. |

anm.cont.pdf | Animated demonstration of density for a continuous pdf |

anm.die | Animated depiction of six-sided die throws. |

anm.die.tck | Animated depiction of six-sided die throws. |

anm.exp.growth | Animated depictions of population growth |

anm.exp.growth.tck | Animated depictions of population growth |

anm.ExpDesign | Animated depiction of experimental designs |

anm.ExpDesign.tck | Animated depiction of experimental designs |

anm.geo.growth | Animated depictions of population growth |

anm.geo.growth.tck | Animated depictions of population growth |

anm.log.growth | Animated depictions of population growth |

anm.log.growth.tck | Animated depictions of population growth |

anm.loglik | Animated plots of log-likelihood functions |

anm.loglik.tck | Animated plots of log-likelihood functions |

anm.ls | Animated plot of least squares function. |

anm.ls.reg | Animated plot of the least squares function. |

anm.ls.reg.tck | Animated plot of the least squares function. |

anm.ls.tck | Animated plot of least squares function. |

anm.LVc.tck | Animated depictions of Lotka-Volterra competition and exploitation models |

anm.LVcomp | Animated depictions of Lotka-Volterra competition and exploitation models |

anm.LVe.tck | Animated depictions of Lotka-Volterra competition and exploitation models |

anm.LVexp | Animated depictions of Lotka-Volterra competition and exploitation models |

anm.mc.bvn | Animation of Markov Chain Monte Carlo walks in bivariate normal space |

anm.mc.bvn.tck | Animation of Markov Chain Monte Carlo walks in bivariate normal space |

anm.mc.norm | Animation of Markov Chain Monte Carlo walks in bivariate normal space |

anm.samp.design | Animated demonstration of randomized sampling designs |

anm.samp.design.tck | Animated demonstration of randomized sampling designs |

anm.TM.tck | Transition matrix analysis |

anm.transM | Transition matrix analysis |

anolis | Anolis lizard contingency table data |

anscombe | Anscombe's quartet |

ant.dew | Ant honeydew data |

AP.test | Agresti-Pendergrast test |

asthma | Asthma repeated measures dataset from Littell et al. (2002) |

auc | Area under a receiver operating characteristic (ROC) curve |

baby.walk | Baby walking times experimental data |

bats | Bat forearm length as a function of bat age |

Bayes.disc | Bayesian graphical summaries for discrete or categorical data. |

Bayes.disc.tck | Bayesian graphical summaries for discrete or categorical data. |

bayes.lm | Bayesian linear models with uniform priors |

BCI.count | Barro Colorado Island Tree Counts |

BCI.plant | Tree presence/absence data from Barro Colorado island |

BDM.2way | Brunner-Dette-Munk test |

BDM.test | Brunner-Dette-Munk test |

bear | Grizzly bear litter sizes |

beetle | Wood boring beetle data |

best.agreement | Determine agreement of two classifications |

bighorn.sel | Datasets for resource use and availability |

bighornAZ.sel | Datasets for resource use and availability |

bin2dec | Conversion of binary digits to decimal numbers |

bombus | Bombus pollen data. |

bone | Bone development data |

bonf.cont | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

bonfCI | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

book.menu | Pulldown menus for 'asbio' interactive graphical functions |

boot.ci.M | Bootstrap CI of M-estimators differences of two samples |

bootstrap | A simple function for bootstrapping |

bound.angle | Angle of azimuth to a boundary. |

bplot | Barplots with error bars (including interval plots) |

bromus | Bromus tectorum dataset |

bv.boxplot | Bivariate boxplots |

bvn.plot | Make plots of bivariate normal distributions |

C.isotope | Atmospheric carbon and D14C measurements |

caribou | Caribou count data |

case0902 | Dataset of mammal traits from Ramsey and Schaefer (1997) |

case1202 | Dataset of salary attributes for male and female workers from Ramsey and Schafer (1997) |

chi.plot | Chi plots for diagnosing multivariate independence. |

chronic | Chronic ailment counts for urban and rural women in Australia |

ci.boot | Bootstrap confidence intervals |

ci.impt | Confidence interval for the product of two proportions |

ci.median | Confidence interval for the median |

ci.mu.oneside | One sided confidence interval for mu. |

ci.mu.t | Z and t confidence intervals for mu. |

ci.mu.z | Z and t confidence intervals for mu. |

ci.p | Confidence interval estimation for the binomial parameter pi using five popular methods. |

ci.prat | Confidence intervals for the ratio of binomial and multinomial proportions |

ci.prat.ak | Confidence intervals for ratios of proportions when the denominator is known |

ci.sigma | Confidence interval for sigma squared. |

ci.strat | Confidence intervals for stratified random samples. |

cliff.env | Environmental data for the community dataset cliff.sp |

cliff.sp | Yellowstone NP cliff community data |

concrete | Concrete strength dataset for data mining |

ConDis.matrix | Calculation and display of concordant and discordant pairs |

corn | Corn yield data |

crab.weight | crab gill and body weight data |

crabs | Agresti crabs dataset |

cuckoo | Tippett cuckoo egg data |

D.sq | Mahalanobis distance for two sites using a pooled covariance matrix |

death.penalty | Florida state death penalty data |

deer | Maternal deer data |

deer.296 | Mule deer telemetry data |

depression | Hamilton depression scores before and after drug treatment |

DH.test | Doornik-Hansen test for multivariate normality. |

dirty.dist | Animated and/or snapshot representations of a statistic's sampling distribution |

dO2 | Dissolved levels in locations above and below a town |

drugs | Contingency data for high school marijuana, alcohol, and cigarette use |

dunnettCI | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

e.cancer | Esophageal cancer data modified slightly to create a balanced three-way factorial design |

eff.rbd | Efficiency of a randomized block design compared to a CRD |

elk.sel | Datasets for resource use and availability |

enzyme | Enzymatic rate data for the phospholipase protein ExoU |

ES.May | May's effective specialization index |

exercise.repeated | Repeated measures data for an exercise experiment. |

ExpDesign | Animated depiction of experimental designs |

Facebook performance metrics for data mining and machine learning | |

Fbird | Frigatebird drumming frequency data |

fire | Fire data from Yellowstone National Park |

fly.sex | Fly sex and longevity |

FR.multi.comp | Multiple pairwise comparison procedure to accompany a Friedman test. |

frog | Australian frog calls following fire |

fruit | Fruit weight data from Littell et al. (2002) |

G.mean | Geometric mean |

g.test | Likelihood ratio test for tabular data |

garments | Garment Latin square data from Littell et al. (2002) |

Glucose2 | Glucose Levels Following Alcohol Ingestion |

goat.sel | Datasets for resource use and availability |

goats | Mountain goat data from Yellowstone National Park |

grass | Agricultural factorial design |

H.mean | Harmonic mean |

heart | Heart rate data from Milliken and Johnson (2009) |

HL.mean | Hodges-Lehman estimator of location |

huber.mu | Huber M-estimator of location |

huber.NR | Huber M-estimator iterative least squares algorithm |

huber.one.step | Huber one step M-estimator |

illusions | Visual illusions illustrating human perception errors. |

ipomopsis | Ipomopsis fruit yield data |

joint.ci.bonf | Calculates joint confidence intervals for parameters in linear models using a Bonferroni procedure. |

juniper.sel | Datasets for resource use and availability |

K | Soil potassium analyses from 8 laboratories |

Kappa | Calculates kappa statistic and other classification error statistics |

km | Kaplan-Meier survivorship. |

Kullback | Kullback test for equal covariance matrices. |

kurt | Sample skewness and kurtosis |

KW.multi.comp | Multiple pairwise comparison procedure to accompany a Kruskal-Wallis test |

larrea | Creosote bush counts |

life.exp | Mouse life expectancy data |

lm.select | AIC, AICc, BIC, Mallow's Cp, and PRESS evaluation of linear models |

loglik.binom.plot | Animated plots of log-likelihood functions |

loglik.custom.plot | Animated plots of log-likelihood functions |

loglik.exp.plot | Animated plots of log-likelihood functions |

loglik.norm.plot | Animated plots of log-likelihood functions |

loglik.plot | Animated plots of log-likelihood functions |

loglik.pois.plot | Animated plots of log-likelihood functions |

lsdCI | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

magnets | Magnet pain relief data |

mat.pow | Simple functions for MCMC demonstrations |

MC | Simple functions for MCMC demonstrations |

MC.test | Monte Carlo hypothesis testing for two samples. |

mcmc.norm.hier | Gibbs sampling of normal hierarchical models |

ML.k | Maximum likelihood algorithm for determining the binomial dispersal coefficient |

Mode | Sample mode |

modlevene.test | Modified Levene's test |

montane.island | Mountain island biogeographic data |

moose.sel | Datasets for resource use and availability |

mosquito | Mosquito wing length data |

MS.test | Mack-Skillings test |

mule.sel | Datasets for resource use and availability |

myeloma | Patient responses to myeloma drug treatments |

near.bound | Nearest neighbor boundary coordinates |

norm.hier.summary | Gibbs sampling of normal hierarchical models |

one.sample.t | One sample t-test |

one.sample.z | One sample z-test |

paik | Paik diagrams |

pairw.anova | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

pairw.fried | Multiple pairwise comparison procedure to accompany a Friedman test. |

pairw.kw | Multiple pairwise comparison procedure to accompany a Kruskal-Wallis test |

pairw.oneway | Welch tests controlled for simultaneous inference |

panel.cor.res | Functions for customizing correlation matrices |

panel.lm | Functions for customizing correlation matrices |

partial.R2 | Partial correlations of determination in multiple regression |

partial.resid.plot | Partial residual plots for interpretation of multiple regression. |

PCB | PCBs and herring egg thickness |

perm.fact.test | Permutation test for two and three way factorial designs |

pika | Nitrogen content of soils under pika haypiles |

plantTraits | Plant traits for 136 species |

plot.pairw | Plots confidence intervals and/or bars with letters indicating significant differences for objects from class pairw |

plotAncova | Creates plots for one way ANCOVAs |

plotCI.reg | Plots a simple linear regression along with confidence and prediction intervals. |

pm | Unbalanced and balanced linear models |

pm1 | Regression linear model derivation from linear algebra |

PM2.5 | PM 2.5 pollutant data from Pocatello Idaho |

polyamine | Polyamine data from Hollander and Wolfe (1999) |

portneuf | Portneuf River longitudinal N and P data |

potash | Potash/cotton strength data |

potato | Fisher's Rothamsted potato data |

power.z.test | Power analysis for a one sample z-test |

press | prediction sum of squares |

Preston.dist | Preston diversity analysis |

print.addtest | Tukey's test of additivity. |

print.bci | Bootstrap CI of M-estimators differences of two samples |

print.BDM | Brunner-Dette-Munk test |

print.blm | Bayesian linear models with uniform priors |

print.bootstrap | A simple function for bootstrapping |

print.ci | Z and t confidence intervals for mu. |

print.ciboot | Bootstrap confidence intervals |

print.kback | Kullback test for equal covariance matrices. |

print.max_agree | Determine agreement of two classifications |

print.mltest | Modified Levene's test |

print.oneSamp | One sample z-test |

print.pairw | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

print.prp.index | Perpendicularity |

prostate | Prostate cancer data |

prp | Perpendicularity |

pseudo.v | Jacknife pseudo-values |

qq.Plot | Normal quantile plots for single or multiple factor levels |

quail.sel | Datasets for resource use and availability |

r.bw | Biweight midvariance, and biweight midcorrelation. |

r.dist | Visualize the sampling distribution of Pearson's product moment correlation |

r.eff | Visualize random effects model |

R.hat | R hat MCMC convergence statistic |

r.pb | Percentage bend correlation |

Rabino_CO2 | CSIRO d13C-CO2 data from Rubino et al., A revised 1000 year atmospheric 13C-CO2 record from Law Dome and South Pole, Antarctica |

Rabino_del13C | CSIRO d13C-CO2 data from Rubino et al., A revised 1000 year atmospheric 13C-CO2 record from Law Dome and South Pole, Antarctica |

rat | Rat glycogen data from Sokal and Rohlf (2012) |

refinery | Refinery CO dataset |

Rf | Simple functions for MCMC demonstrations |

rinvchisq | Random draws from a scaled inverse chi-square distribution |

rmvm | A multivariate normal dataset for data mining |

samp.design | Animated demonstration of randomized sampling designs |

samp.dist | Animated and/or snapshot representations of a statistic's sampling distribution |

samp.dist.mech | Animated representation of sampling distribution basics |

samp.dist.mech.tck | Animated representation of sampling distribution basics |

samp.dist.method.tck | Animated and/or snapshot representations of a statistic's sampling distribution |

samp.dist.n | Animated and/or snapshot representations of a statistic's sampling distribution |

samp.dist.snap | Animated and/or snapshot representations of a statistic's sampling distribution |

samp.dist.snap.tck1 | Animated and/or snapshot representations of a statistic's sampling distribution |

samp.dist.snap.tck2 | Animated and/or snapshot representations of a statistic's sampling distribution |

samp.dist.tck | Animated and/or snapshot representations of a statistic's sampling distribution |

savage | Mammalian BMR and biomass data from Savage et al. (2004) |

sc.twin | Matched pairs schizophrenia data |

scheffe.cont | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

scheffeCI | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

se.jack | Jackknife standard error from a set of pseudovalues |

se.jack1 | Jackknife standard error from a set of pseudovalues |

sedum.ts | CO2 exchange time series data |

see.accPrec.tck | Interactive depiction of precision and accuracy |

see.adddel | Interactive visualization of least squares regression. |

see.ancova.tck | Visualize ANCOVA mechanics |

see.anova.tck | Interactive depiction of the ANOVA mechanism |

see.beta.tck | Visualize pdfs |

see.betacdf.tck | Visualize pdfs |

see.bin.tck | Visualize pdfs |

see.bincdf.tck | Visualize pdfs |

see.chi.tck | Visualize pdfs |

see.chicdf.tck | Visualize pdfs |

see.cor.range.tck | Depict the effect of range on correlation |

see.disc.unif.tck | Visualize pdfs |

see.disc.unifcdf.tck | Visualize pdfs |

see.exp.tck | Visualize pdfs |

see.expcdf.tck | Visualize pdfs |

see.exppower.tck | Visualize exponential power functions |

see.F.tck | Visualize pdfs |

see.Fcdf.tck | Visualize pdfs |

see.gam.tck | Visualize pdfs |

see.gamcdf.tck | Visualize pdfs |

see.geo.tck | Visualize pdfs |

see.geocdf.tck | Visualize pdfs |

see.HW | Visualize the Hardy Weinberg equilibrium |

see.HW.tck | Visualize the Hardy Weinberg equilibrium |

see.hyper.tck | Visualize pdfs |

see.hypercdf.tck | Visualize pdfs |

see.lma.tck | ANOVA linear models |

see.lmr.tck | Regression linear model derivation from linear algebra |

see.lmu.tck | Unbalanced and balanced linear models |

see.lnorm.tck | Visualize pdfs |

see.lnormcdf.tck | Visualize pdfs |

see.logic | Interactive worksheet for logical and fallacious arguments |

see.logis.tck | Visualize pdfs |

see.logiscdf.tck | Visualize pdfs |

see.M | Visualization of the M-estimation function |

see.mixedII | Depiction of the effect of random level selection on inferences concerning fixed effects |

see.mnom.tck | Interactive depiction of the multinomial distribution |

see.move | Interactive visualization of least squares regression. |

see.nbin.tck | Visualize pdfs |

see.nbincdf.tck | Visualize pdfs |

see.nlm | Visualize important non-linear functions |

see.norm.tck | Visualize pdfs |

see.normcdf.tck | Visualize pdfs |

see.pdf.conc.tck | Animated demonstration of density for a continuous pdf |

see.pdfdriver | Visualize pdfs |

see.pdfdriver.tck | Visualize pdfs |

see.pois.tck | Visualize pdfs |

see.poiscdf.tck | Visualize pdfs |

see.power | Interactive depiction of type I and type II error and power |

see.power.tck | Interactive depiction of type I and type II error and power |

see.r.dist.tck | Visualize the sampling distribution of Pearson's product moment correlation |

see.rEffect.tck | Visualize random effects model |

see.regression.tck | Demonstration of regression mechanics |

see.roc.tck | Interactive depiction of ROC curves |

see.smooth.tck | Interactive smoother demonstrations |

see.t.tck | Visualize pdfs |

see.tcdf.tck | Visualize pdfs |

see.ttest.tck | Visualize t-tests |

see.typeI_II | Interactive depiction of type I and II error |

see.unif.tck | Visualize pdfs |

see.unifcdf.tck | Visualize pdfs |

see.weib.tck | Visualize pdfs |

see.weibcdf.tck | Visualize pdfs |

selftest.ANOVAmixed.tck1 | Interactive self-testing questions |

selftest.ANOVAsiminf.tck1 | Interactive self-testing questions |

selftest.ANVOVA_design.tck | Interactive self-testing questions |

selftest.ANVOVA_design_review.tck | Interactive self-testing questions |

selftest.bayes4.tck | Interactive self-testing questions |

selftest.bayes5.tck | Interactive self-testing questions |

selftest.codettest.tck | Interactive self-testing questions |

selftest.conf.tck1 | Interactive self-testing questions |

selftest.corr.tck1 | Interactive self-testing questions |

selftest.H0.tck | Interactive self-testing questions |

selftest.jack.tck | Interactive self-testing questions |

selftest.ML_OLS.tck | Interactive self-testing questions |

selftest.nonparametric6.tck | Interactive self-testing questions |

selftest.pdfs.tck | Interactive self-testing questions |

selftest.prob.tck | Interactive self-testing questions |

selftest.regapproaches.tck1 | Interactive self-testing questions |

selftest.regapproaches.tck2 | Interactive self-testing questions |

selftest.regapproaches.tck3 | Interactive self-testing questions |

selftest.regapproaches.tck4 | Interactive self-testing questions |

selftest.regchar.tck1 | Interactive self-testing questions |

selftest.regdiag.tck1 | Interactive self-testing questions |

selftest.regdiag.tck2 | Interactive self-testing questions |

selftest.regdiag.tck3 | Interactive self-testing questions |

selftest.regGLM.tck1 | Interactive self-testing questions |

selftest.sampd.tck1 | Interactive self-testing questions |

selftest.science.tck1 | Interactive self-testing questions |

selftest.se.tck1 | Interactive self-testing questions |

selftest.stats.tck | Interactive self-testing questions |

selftest.stats.tck1 | Interactive self-testing questions |

selftest.ttest.tck | Interactive self-testing questions |

selftest.typeIISS.tck1 | Interactive self-testing questions |

Semiconductor | Split plot computer chip data from Littell et al. (2006) |

SexDeterm | Fern environmental sex determination data |

shad | American gizzard shad data |

shade | Shading functions for interpretation of pdf probabilities. |

shade.bin | Shading functions for interpretation of pdf probabilities. |

shade.bin.tck | GUI display of probability |

shade.chi | Shading functions for interpretation of pdf probabilities. |

shade.chi.tck | GUI display of probability |

shade.F | Shading functions for interpretation of pdf probabilities. |

shade.F.tck | GUI display of probability |

shade.norm | Shading functions for interpretation of pdf probabilities. |

shade.norm.tck | GUI display of probability |

shade.poi | Shading functions for interpretation of pdf probabilities. |

shade.poi.tck | GUI display of probability |

shade.t | Shading functions for interpretation of pdf probabilities. |

shade.t.tck | GUI display of probability |

shade.wei | Shading functions for interpretation of pdf probabilities. |

simberloff | Compilations of genus and species counts from Simberloff (1970) |

Simp.index | Functions for calculating alpha diversity. |

skew | Sample skewness and kurtosis |

SM.temp.moist | Alpine soil temperature and moisture time series |

snore | Snoring and heart disease contingency data |

so2.us.cities | SO2 data for 32 US cities with respect to 6 explanatory variables |

stan.error | Variance and standard error estimators for the sampling distribution of the sample mean |

stan.error.sq | Variance and standard error estimators for the sampling distribution of the sample mean |

starkey | DEM data from the Starkey experimental forest in NE Oregon |

suess | del14C in the atmosphere from 1700-1950 |

SW.index | Functions for calculating alpha diversity. |

trag | Salsify height dataset |

transM | Transition matrix analysis |

trim.me | Trim data |

trim.ranef.test | Robust test for random factors using trimmed means. |

trim.test | Robust one way trimmed means test. |

tukey.add.test | Tukey's test of additivity. |

tukeyCI | Conducts pairwise post hoc and planned comparisons associated with an ANOVA |

varespec | Scandinavian site by species community matrix |

veneer | Veneer data from Littell et al. (2002) |

Venn | Venn probability diagrams for an event with two outcomes |

Venn.tck | Venn probability diagrams for an event with two outcomes |

vs | Scandinavian site by species community matrix |

wash.rich | Species richness and environmental variables from Mt Washburn |

webs | Spider web length data |

wheat | Agricultural randomized block design |

whickham | Whickham contingency table data for smokers and survivorship |

wildebeest | Wildebeest carcass categorical data |

win | Winsorize data |

wine | White wine quality data for data mining |

world.co2 | World CO2 levels, by country, from 1980 to 2006 |

world.emissions | Greenhouse gas emissions from Our World in Data |

world.pop | Population levels in various countries from 1980-2006 |