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A B C D E F G H I J K L M N O P R S T V W
| 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.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.ls | Animated plot of 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.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 |
| AP.test | Agresti-Pendergrast test |
| asthma | Asthma repeated measures dataset from Littell et al. (2002) |
| Bayes.disc | Bayesian graphical summaries for discrete data. |
| Bayes.disc.tck | Bayesian graphical summaries for discrete data. |
| BDM.2way | Brunner-Dette-Munk test |
| BDM.test | Brunner-Dette-Munk test |
| beta.dbar | Beta diversity functions |
| beta.dbar.halfchange | Beta diversity functions |
| beta.div | Beta diversity functions |
| biserial.eval | Cluster analysis evaluators. |
| bombus | Bombus pollen data. |
| BonferroniCI | Conducts pairwise post hoc tests associated with an ANOVA. |
| 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 standard errors and CIs for pairwise comparisons. |
| bromus | Bromus tectorum dataset |
| bv.boxplot | Bivariate boxplots |
| chi.plot | Chi plots for diagnosing multivariate independence. |
| 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 p. |
| ci.sigma | Confidence interval for sigma squared. |
| ci.strat | Confidence intervals for stratified random samples. |
| Cindex.eval | Cluster analysis evaluators. |
| cliff.env | Environmental data for the community dataset cliff.sp |
| cliff.sp | Yellowstone NP cliff community data |
| ConDis.matrix | Calculation and display of concordant and discordant pairs |
| const | Constancy of species in a community dataset |
| D.sq | Mahalanobis distance for two sites using a pooled covariance matrix |
| deer | Maternal deer data |
| deer.296 | Mule deer telemetry data |
| demos | Pulldown menu for 'asbio' interactive graphical functions. |
| DH.test | Doornick-Hansen test for multivariate normality. |
| e.cancer | Esophageal cancer data modified slightly to create a balanced three-way factorial design |
| ES.May | May's effective specialization index |
| evaluators | Cluster analysis evaluators. |
| evenness | Pielou's measure of species evenness |
| exercise.repeated | Repeated measures data for an exercise experiment. |
| ExpDesign | Animated depiction of experimental designs |
| fidelity | Fidelity of species in a community to a particular group |
| FR.multi.comp | Multiple pairwise comparison procedure to accompany a Friedman test. |
| G.mean | Geometric mean |
| G.stat | G-tests |
| get.dist | Calculates 26 possible resemblance measures. |
| Glucose2 | Glucose Levels Following Alcohol Ingestion |
| H.mean | Harmonic mean |
| HL.mean | Hodges-Lehman estimator of location |
| Hotelling | Hotelling T-squared test |
| 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 preception errors. |
| island.rich | Mammal richness data with respect to montane island area. |
| joint.confint | Calculates joint confidence intervals for parameters in linear models using a Bonferroni procedure. |
| 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 |
| lma.tck | ANOVA linear models |
| lmr.tck | Regression linear model derivation from linear algebra |
| lmu.tck | Unbalanced and balanced linear models |
| loess.surf | loess 2D and 3D smooth plots |
| 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 |
| loglik.tck | Animated plots of log-likelihood functions |
| LSD.test | Conducts pairwise post hoc tests associated with an ANOVA. |
| magnets | Magnet pain relief data |
| MC.test | Monte Carlo hypothesis testing for two samples. |
| McR.eval | Cluster analysis evaluators. |
| Mode | Sample mode |
| modlevenes.test | Modified Levene's test |
| morisita.eval | Cluster analysis evaluators. |
| Mrpp | Multi-response permutation procedure. A wrapper for mrpp from vegan. |
| MS.test | Mack-Skillings test |
| near.bound | Nearest neighbor boundary coordinates |
| one.sample.t | One sample t-test |
| one.sample.z | One sample z-test |
| Pairw.test | Conducts pairwise post hoc tests associated with an ANOVA. |
| 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. |
| perm.fact.test | Permutation test for two and three way factorial designs. |
| plantTraits | Plant traits for 136 species |
| 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 |
| polar.ord | Polar ordinations |
| power.z.test | Power analysis for a one sample z-test |
| press | prediction sum of squares |
| Preston.dist | Preston diversity analysis |
| print.ci | Z and t confidence intervals for mu. |
| print.eval | Cluster analysis evaluators. |
| print.Mrpp | Multi-response permutation procedure. A wrapper for mrpp from vegan. |
| print.prp.index | Perpendicularity |
| prp | Perpendicularity |
| pseudo.v | Jacknife pseudo-values |
| R.bw | Biweight midvariance, and biweight midcorrelation. |
| R.pb | Percentage bend correlation |
| radiation.heatl | Radiation-heatload algorithm |
| rankindex.new | Compares the efficacy of resemblance measures for a particular data scenario. |
| rat | Rat glycogen data from Sokal and Rohlf (1995). |
| refinery | Refinery CO dataset |
| samp.design | Animated demonstration of randomized sampling designs |
| samp.dist | Animated and/or snapshot representations of a statistic's sampling distribution |
| samp.dist.fixn | Animated and/or snapshot representations of a statistic's sampling distribution |
| 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.tck | 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 |
| sc.twin | Matched pairs schizophrenia data |
| ScheffeCI | Conducts pairwise post hoc tests associated with an ANOVA. |
| see.adddel | Interactive visualization of least squares regression. |
| 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.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 equlibrium |
| see.HW.tck | Visualize the Hardy Weinberg equlibrium |
| see.hyper.tck | Visualize pdfs |
| see.hypercdf.tck | Visualize pdfs |
| 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.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.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.regression | Interactive visualization of least squares regression. |
| see.t.tck | Visualize pdfs |
| see.tcdf.tck | Visualize pdfs |
| 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.conf.tck1 | Interactive self-testing statistical questions |
| selftest.conf.tck2 | Interactive self-testing statistical questions |
| selftest.pdfs.tck1 | Interactive self-testing statistical questions |
| selftest.pdfs.tck2 | Interactive self-testing statistical questions |
| selftest.prob.tck1 | Interactive self-testing statistical questions |
| selftest.prob.tck2 | Interactive self-testing statistical questions |
| selftest.prob.tck3 | Interactive self-testing statistical questions |
| selftest.sampd.tck1 | Interactive self-testing statistical questions |
| selftest.sampd.tck2 | Interactive self-testing statistical questions |
| selftest.se.tck1 | Interactive self-testing statistical questions |
| selftest.se.tck2 | Interactive self-testing statistical questions |
| Semiconductor | Split plot computer chip data from Littell et al. (2006). |
| 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 |
| Shep.comp | Shepard plot type comparisons for PCoA |
| Simp.index | Functions for calculating alpha diversity. |
| skew | Sample skewness and kurtosis |
| so2.us.cities | SO2 data for 32 US cities with respect to 6 explanatory variables |
| sortid | Sorts releve table rows using a dot product approach. |
| 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. |
| SW.index | Functions for calculating alpha diversity. |
| 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 tests associated with an ANOVA. |
| V.mat | Pooled covariance matrices for multivariate procedures. |
| veg.table | Summarized constancy/cover vegetation tables (not vegetables) |
| Venn | Venn probability diagrams for an event with two outcomes |
| Venn.tck | Venn probability diagrams for an event with two outcomes |
| W.beta.div | Beta diversity functions |
| webs | Spider web length data |
| wheat | Agricultural randomized block design |
| win | Winsorize data |
| world.co2 | World CO2 levels, by country, from 1980 to 2006 |
| world.pop | Population levels in various countries since 1980 |