Package index • EnvStats

All functions
`ACE.13.TCE.df`	Trichloroethylene Concentrations Before and After Remedation
`BJC.2000.df`	Randomly sampled measurements of an analyte in soil samples.
`Beal.2010.Pb.df`	Lead concentration in soil samples.
`Benthic.df`	Benthic Data from Monitoring Program in Chesapeake Bay
`CastilloAndHadi1994` `Castillo and Hadi 1994`	Abstract: Castillo and Hadi (1994)
`dchi()` `pchi()` `qchi()` `rchi()`	The Chi Distribution
`Distribution.df`	Data Frame Summarizing Available Probability Distributions and Estimation Methods
`EPA.02d.Ex.2.ug.per.L.vec`	Concentrations in Exhibit 2 of 2002d USEPA Guidance Document
`EPA.02d.Ex.4.mg.per.kg.vec`	Concentrations in Exhibit 4 of 2002d USEPA Guidance Document
`EPA.02d.Ex.6.mg.per.kg.vec`	Concentrations in Exhibit 6 of 2002d USEPA Guidance Document
`EPA.02d.Ex.9.mg.per.L.vec`	Concentrations in Exhibit 9 of 2002d USEPA Guidance Document
`EPA.09.Ex.10.1.nickel.df`	Nickel Concentrations from Example 10-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.11.1.arsenic.df`	Arsenic Concentrations from Example 11-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.12.1.ccl4.df`	Carbon Tetrachloride Concentrations from Example 12-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.12.4.naphthalene.df`	Naphthalene Concentrations from Example 12-4 of 2009 USEPA Guidance Document
`EPA.09.Ex.13.1.iron.df`	Iron Concentrations from Example 13-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.14.1.manganese.df`	Manganese Concentrations from Example 14-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.14.3.alkalinity.df`	Alkalinity Measures from Example 14-3 of 2009 USEPA Guidance Document
`EPA.09.Ex.14.4.arsenic.df`	Arsenic Concentrations from Example 14-4 of 2009 USEPA Guidance Document
`EPA.09.Ex.14.8.df`	Analyte Concentrations from Example 14-8 of 2009 USEPA Guidance Document
`EPA.09.Ex.15.1.manganese.df`	Manganese Concentrations from Example 15-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.16.1.sulfate.df`	Sulfate Concentrations from Example 16-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.16.2.benzene.df`	Benzene Concentrations from Example 16-2 of 2009 USEPA Guidance Document
`EPA.09.Ex.16.4.copper.df`	Copper Concentrations from Example 16-4 of 2009 USEPA Guidance Document
`EPA.09.Ex.16.5.PCE.df`	Tetrachloroethylene Concentrations from Example 16-5 of 2009 USEPA Guidance Document
`EPA.09.Ex.17.1.loglead.df`	Log-transformed Lead Concentrations from Example 17-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.17.2.toluene.df`	Toluene Concentrations from Example 17-2 of 2009 USEPA Guidance Document
`EPA.09.Ex.17.3.chrysene.df`	Chrysene Concentrations from Example 17-3 of 2009 USEPA Guidance Document
`EPA.09.Ex.17.3.log.chrysene.df`	Log-transformed Chrysene Concentrations from Example 17-3 of 2009 USEPA Guidance Document
`EPA.09.Ex.17.4.copper.df`	Copper Concentrations from Example 17-4 of 2009 USEPA Guidance Document
`EPA.09.Ex.17.5.chloride.df`	Chloride Concentrations from Example 17-5 of 2009 USEPA Guidance Document
`EPA.09.Ex.17.6.sulfate.df`	Sulfate Concentrations from Example 17-6 of 2009 USEPA Guidance Document
`EPA.09.Ex.17.7.sodium.df`	Sodium Concentrations from Example 17-7 of 2009 USEPA Guidance Document
`EPA.09.Ex.18.1.arsenic.df`	Arsenic Concentrations from Example 18-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.18.2.chrysene.df`	Chrysene Concentrations from Example 18-2 of 2009 USEPA Guidance Document
`EPA.09.Ex.18.3.TCE.df`	Trichloroethylene Concentrations from Example 18-3 of 2009 USEPA Guidance Document
`EPA.09.Ex.18.4.xylene.df`	Xylene Concentrations from Example 18-4 of 2009 USEPA Guidance Document
`EPA.09.Ex.19.1.sulfate.df`	Sulfate Concentrations from Example 19-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.19.2.chloride.df`	Chloride Concentrations from Example 19-2 of 2009 USEPA Guidance Document
`EPA.09.Ex.19.5.mercury.df`	Mercury Concentrations from Example 19-5 of 2009 USEPA Guidance Document
`EPA.09.Ex.20.1.nickel.df`	Nickel Concentrations from Example 20-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.21.1.aldicarb.df`	Aldicarb Concentrations from Example 21-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.21.2.benzene.df`	Benzene Concentrations from Example 21-2 of 2009 USEPA Guidance Document
`EPA.09.Ex.21.5.beryllium.df`	Beryllium Concentrations from Example 21-5 of 2009 USEPA Guidance Document
`EPA.09.Ex.21.6.nitrate.df`	Nitrate Concentrations from Example 21-6 of 2009 USEPA Guidance Document
`EPA.09.Ex.21.7.TCE.df`	Trichloroethylene Concentrations from Example 21-7 of 2009 USEPA Guidance Document
`EPA.09.Ex.22.1.VC.df`	Vinyl Chloride Concentrations from Example 22-1 of 2009 USEPA Guidance Document
`EPA.09.Ex.22.2.Specific.Conductance.df`	Specific Conductance from Example 22-2 of 2009 USEPA Guidance Document
`EPA.09.Ex.6.3.sulfate.df`	Sulfate Concentrations from Example 6-3 of 2009 USEPA Guidance Document
`EPA.09.Ex.7.1.arsenic.df`	Arsenic concentrations from Example 7.1 of 2009 USEPA Guidance Document
`EPA.09.Table.9.1.TCE.df`	Trichloroethene concentrations in Table 9.1 of 2009 USEPA Guidance Document
`EPA.09.Table.9.3.df`	Arsenic, Mercury and Strontium Concentrations in Table 9-3 of 2009 USEPA Guidance Document
`EPA.09.Table.9.4.nickel.vec`	Nickel Concentrations in Table 9-4 of 2009 USEPA Guidance Document
`EPA.89b.aldicarb1.df`	Aldicarb Concentrations from 1989 USEPA Guidance Document
`EPA.89b.aldicarb2.df`	Aldicarb Concentrations from 1989 USEPA Guidance Document
`EPA.89b.benzene.df`	Benzene Concentrations from 1989 USEPA Guidance Document
`EPA.89b.cadmium.df`	Cadmium Concentrations from 1989 USEPA Guidance Document
`EPA.89b.chlordane1.df`	Chlordane Concentrations from 1989 USEPA Guidance Document
`EPA.89b.chlordane2.df`	Chlordane Concentrations from 1989 USEPA Guidance Document
`EPA.89b.edb.df`	EDB Concentrations from 1989 USEPA Guidance Document
`EPA.89b.lead.df`	Lead Concentrations from 1989 USEPA Guidance Document
`EPA.89b.loglead.df`	Log-transformed Lead Concentrations from 1989 USEPA Guidance Document
`EPA.89b.manganese.df`	Manganese Concentrations from 1989 USEPA Guidance Document
`EPA.89b.sulfate.df`	Sulfate Concentrations from 1989 USEPA Guidance Document
`EPA.89b.t29.df`	T-29 Concentrations from 1989 USEPA Guidance Document
`EPA.89b.toc.vec`	Total Organic Carbon Concentrations from 1989 USEPA Guidance Document
`EPA.92c.arsenic1.df`	Arsenic Concentrations from 1992 USEPA Guidance Document
`EPA.92c.arsenic2.df`	Arsenic Concentrations from 1992 USEPA Guidance Document
`EPA.92c.arsenic3.df`	Arsenic Concentrations from 1992 USEPA Guidance Document
`EPA.92c.benzene1.df`	Benzene Concentrations from 1992 USEPA Guidance Document
`EPA.92c.benzene2.df`	Benzene Concentrations from 1992 USEPA Guidance Document
`EPA.92c.ccl4.df`	Carbon Tetrachloride Concentrations from 1992 USEPA Guidance Document
`EPA.92c.chrysene.df`	Chrysene Concentrations from 1992 USEPA Guidance Document
`EPA.92c.copper1.df`	Copper Concentrations from 1992 USEPA Guidance Document
`EPA.92c.copper2.df`	Copper Concentrations from 1992 USEPA Guidance Document
`EPA.92c.lognickel1.df`	Log-transformed Nickel Concentrations from 1992 USEPA Guidance Document
`EPA.92c.nickel1.df`	Nickel Concentrations from 1992 USEPA Guidance Document
`EPA.92c.nickel2.df`	Nickel Concentrations from 1992 USEPA Guidance Document
`EPA.92c.toluene.df`	Toluene Concentrations from 1992 USEPA Guidance Document
`EPA.92c.zinc.df`	Zinc Concentrations from 1992 USEPA Guidance Document
`EPA.92d.chromium.df`	Chromium Concentrations from 1992 USEPA Guidance Document
`EPA.92d.chromium.vec`	Chromium Concentrations from 1992 USEPA Guidance Document
`EPA.94b.lead.df`	Lead Concentrations from 1994 USEPA Guidance Document
`EPA.94b.tccb.df`	1,2,3,4-Tetrachlorobenzene Concentrations from 1994 USEPA Guidance Document
`EPA.97.cadmium.111.df`	Calibration Data for Cadmium at Mass 111
`devd()` `pevd()` `qevd()` `revd()`	The Extreme Value (Gumbel) Distribution
`demp()` `pemp()` `qemp()` `remp()`	The Empirical Distribution Based on a Set of Observations
`StatNText` `StatMeanSDText` `StatMedianIQRText` `StatTestText`	Internal EnvStats Objects
`Environmental.df` `Air.df`	Atmospheric Environmental Conditions in New York City
`EulersConstant` `Eulers Constant`	Euler's Constant
`FcnsByCat` `Functions By Category`	EnvStats Functions Listed by Category
`FcnsByCatCalibration` `Calibration`	EnvStats Functions for Calibration
`FcnsByCatCensoredData` `Censored Data` `EnvStats Functions for Censored Data` `Functions for Censored Data`	EnvStats Functions for Censored Data
`FcnsByCatDataTrans` `Data Transformations`	EnvStats Functions for Data Transformations
`FcnsByCatEstDistParams` `Estimating Distribution Parameters`	EnvStats Functions for Estimating Distribution Parameters
`FcnsByCatEstDistQuants` `Estimating Distribution Quantiles`	EnvStats Functions for Estimating Distribution Quantiles
`FcnsByCatGOFTests` `Goodness-of-Fit Tests` `EnvStats Functions for Goodness-of-Fit Tests` `GOF`	EnvStats Functions for Goodness-of-Fit Tests
`FcnsByCatHypothTests` `Hypothesis Tests`	EnvStats Functions for Hypothesis Tests
`FcnsByCatMCandRisk` `Monte Carlo Simulation and Risk Assessment`	EnvStats Functions for Monte Carlo Simulation and Risk Assessment
`FcnsByCatPlotProbDists` `Plotting Probability Distributions` `Plot Probability Distributions`	EnvStats Functions for Plotting Probability Distributions
`FcnsByCatPlotUsingggplot2` `Plotting Using ggplot2` `Plot Using ggplot2`	EnvStats Functions for Creating Plots Using the ggplot2 Package
`FcnsByCatPower` `Power and Sample Size Calculations` `Power and Sample Size`	EnvStats Functions for Power and Sample Size Calculations
`FcnsByCatPredInts` `Prediction Intervals`	EnvStats Functions for Prediction Intervals
`FcnsByCatPrintPlot` `Printing and Plotting Methods`	EnvStats Functions for Printing and Plotting Objects of Various S3 Classes
`FcnsByCatProbDists` `Probability Distributions` `Probability Distributions and Random Numbers`	EnvStats Probability Distributions and Random Numbers
`FcnsByCatSumStats` `Summary Statistics` `Summary Plots`	EnvStats Functions for Summary Statistics and Plots
`FcnsByCatTolInts` `Tolerance Intervals`	EnvStats Functions for Tolerance Intervals
`FcnsByCatTrend` `Trend Analysis`	EnvStats Functions for Trend Analysis
`dgevd()` `pgevd()` `qgevd()` `rgevd()`	The Generalized Extreme Value Distribution
`dgammaAlt()` `pgammaAlt()` `qgammaAlt()` `rgammaAlt()`	The Gamma Distribution (Alternative Parameterization)
`Gibbons.et.al.09.Alkilinity.vec`	Alkilinity Data from Gibbons et al. (2009)
`Gibbons.et.al.09.Vinyl.Chloride.vec`	Vinyl Chloride Data from Gibbons et al. (2009)
`Graham.et.al.75.etu.df`	Ethylene Thiourea Dose-Response Data
`Grice.Bain.80.mat`	Adjusted Alpha Levels to Compute Confidence Intervals for the Mean of a Gamma Distribution
`Helsel.Cohn.88.app.b.df`	Example of Multiply Left-censored Data from Literature
`Helsel.Cohn.88.silver.df`	Silver Concentrations From An Interlab Comparison
`Helsel.Hirsch.02.Mayfly.df`	Paired Counts of Mayfly Nymphs Above and Below Industrial Outfalls
`HoskingEtAl1985` `Hosking et al 1985`	Abstract: Hosking et al. (1985)
`Lin.Evans.80.df`	Fecal Coliform Data from the Illinois River
`dlnorm3()` `plnorm3()` `qlnorm3()` `rlnorm3()`	The Three-Parameter Lognormal Distribution
`dlnormAlt()` `plnormAlt()` `qlnormAlt()` `rlnormAlt()`	The Lognormal Distribution (Alternative Parameterization)
`dlnormMix()` `plnormMix()` `qlnormMix()` `rlnormMix()`	Mixture of Two Lognormal Distributions
`dlnormMixAlt()` `plnormMixAlt()` `qlnormMixAlt()` `rlnormMixAlt()`	Mixture of Two Lognormal Distributions (Alternative Parameterization)
`dlnormTrunc()` `plnormTrunc()` `qlnormTrunc()` `rlnormTrunc()`	The Truncated Lognormal Distribution
`dlnormTruncAlt()` `plnormTruncAlt()` `qlnormTruncAlt()` `rlnormTruncAlt()`	The Truncated Lognormal Distribution (Alternative Parameterization)
`Millard.Deverel.88.df`	Copper and Zinc Concentrations in Shallow Ground Water
`Modified.TcCB.df`	Modified 1,2,3,4-Tetrachlorobenzene Data with Censored Values
`NIOSH.89.air.lead.vec`	NIOSH Air Lead Levels Data
`dnormMix()` `pnormMix()` `qnormMix()` `rnormMix()`	Mixture of Two Normal Distributions
`dnormTrunc()` `pnormTrunc()` `qnormTrunc()` `rnormTrunc()`	The Truncated Normal Distribution
`Olympic.NH4.df`	Ammonium Concentration in Precipitation Measured at Olympic National Park Hoh Ranger Station
`Ozone.NE.df`	Ozone Concentrations in the Northeast U.S.
`dpareto()` `ppareto()` `qpareto()` `rpareto()`	The Pareto Distribution
`ProUCL.5.2.TRS.df`	Real dataset from ProUCL 5.2.0.
`ProUCL.Crit.Vals.for.AD.Test.for.Gamma.array`	ProUCL Critical Values for Anderson-Darling Goodness-of-Fit Test for Gamma Distribution
`ProUCL.Crit.Vals.for.KS.Test.for.Gamma.array`	ProUCL Critical Values for Kolmogorov-Smirnov Goodness-of-Fit Test for Gamma Distribution
`Refinery.CO.df`	Carbon Monoxide Emissions from Oil Refinery.
`Skagit.NH3_N.df`	Ammonia Nitrogen Concentrations in the Skagit River, Marblemount, Washington
`Total.P.df`	Total Phosphorus Data from Chesapeake Bay
`dtri()` `ptri()` `qtri()` `rtri()`	The Triangular Distribution
`dzmlnorm()` `pzmlnorm()` `qzmlnorm()` `rzmlnorm()`	The Zero-Modified Lognormal (Delta) Distribution
`dzmlnormAlt()` `pzmlnormAlt()` `qzmlnormAlt()` `rzmlnormAlt()`	The Zero-Modified Lognormal (Delta) Distribution (Alternative Parameterization)
`dzmnorm()` `pzmnorm()` `qzmnorm()` `rzmnorm()`	The Zero-Modified Normal Distribution
`anovaPE()`	Compute Lack-of-Fit and Pure Error Anova Table for a Linear Model
`aovN()`	Compute Sample Size Necessary to Achieve Specified Power for One-Way Fixed-Effects Analysis of Variance
`aovPower()`	Compute the Power of a One-Way Fixed-Effects Analysis of Variance
`base()`	Base \(b\) Representation of a Number
`boxcox()`	Boxcox Power Transformation
`boxcox.object`	S3 Class "boxcox"
`boxcoxCensored()`	Boxcox Power Transformation for Type I Censored Data
`boxcoxCensored.object`	S3 Class "boxcoxCensored"
`boxcoxLm.object`	S3 Class "boxcoxLm"
`boxcoxTransform()`	Apply a Box-Cox Power Transformation to a Set of Data
`calibrate()`	Fit a Calibration Line or Curve
`calibrate.object`	S3 Class "calibrate"
`cdfCompare()`	Plot Two Cumulative Distribution Functions
`cdfCompareCensored()`	Plot Two Cumulative Distribution Functions Based on Censored Data
`cdfPlot()`	Plot Cumulative Distribution Function
`chenTTest()`	Chen's Modified One-Sided t-test for Skewed Distributions
`ciBinomHalfWidth()`	Half-Width of Confidence Interval for Binomial Proportion or Difference Between Two Proportions
`ciBinomN()`	Sample Size for Specified Half-Width of Confidence Interval for Binomial Proportion or Difference Between Two Proportions
`ciNormHalfWidth()`	Half-Width of Confidence Interval for Normal Distribution Mean or Difference Between Two Means
`ciNormN()`	Sample Size for Specified Half-Width of Confidence Interval for Normal Distribution Mean or Difference Between Two Means
`ciNparConfLevel()`	Compute Confidence Level Associated with a Nonparametric Confidence Interval for a Quantile
`ciNparN()`	Sample Size for Nonparametric Confidence Interval for a Quantile
`ciTableMean()`	Table of Confidence Intervals for Mean or Difference Between Two Means
`ciTableProp()`	Table of Confidence Intervals for Proportion or Difference Between Two Proportions
`cv()`	Sample Coefficient of Variation.
`detectionLimitCalibrate()`	Determine Detection Limit
`distChoose()`	Choose Best Fitting Distribution Based on Goodness-of-Fit Tests
`distChoose.object`	S3 Class "distChoose"
`distChooseCensored()`	Choose Best Fitting Distribution Based on Goodness-of-Fit Tests for Censored Data
`distChooseCensored.object`	S3 Class "distChooseCensored"
`ebeta()`	Estimate Parameters of a Beta Distribution
`ebinom()`	Estimate Parameter of a Binomial Distribution
`ecdfPlot()`	Empirical Cumulative Distribution Function Plot
`ecdfPlotCensored()`	Empirical Cumulative Distribution Function Plot Based on Type I Censored Data
`eevd()`	Estimate Parameters of an Extreme Value (Gumbel) Distribution
`eexp()`	Estimate Rate Parameter of an Exponential Distribution
`egamma()` `egammaAlt()`	Estimate Parameters of Gamma Distribution
`egammaAltCensored()`	Estimate Mean and Coefficient of Variation for a Gamma Distribution Based on Type I Censored Data
`egammaCensored()`	Estimate Shape and Scale Parameters for a Gamma Distribution Based on Type I Censored Data
`egeom()`	Estimate Probability Parameter of a Geometric Distribution
`egevd()`	Estimate Parameters of a Generalized Extreme Value Distribution
`ehyper()`	Estimate Parameter of a Hypergeometric Distribution
`elnorm()`	Estimate Parameters of a Lognormal Distribution (Log-Scale)
`elnorm3()`	Estimate Parameters of a Three-Parameter Lognormal Distribution (Log-Scale)
`elnormAlt()`	Estimate Parameters of a Lognormal Distribution (Original Scale)
`elnormAltCensored()`	Estimate Parameters for a Lognormal Distribution (Original Scale) Based on Type I Censored Data
`elnormCensored()`	Estimate Parameters for a Lognormal Distribution (Log-Scale) Based on Type I Censored Data
`elogis()`	Estimate Parameters of a Logistic Distribution
`enbinom()`	Estimate Probability Parameter of a Negative Binomial Distribution
`enorm()`	Estimate Parameters of a Normal (Gaussian) Distribution
`enormCensored()`	Estimate Parameters for a Normal Distribution Based on Type I Censored Data
`enpar()`	Estimate Mean, Standard Deviation, and Standard Error Nonparametrically
`enparCensored()`	Estimate Mean, Standard Deviation, and Standard Error Nonparametrically Based on Censored Data
`epareto()`	Estimate Parameters of a Pareto Distribution
`epdfPlot()`	Plot Empirical Probability Density Function
`epois()`	Estimate Parameter of a Poisson Distribution
`epoisCensored()`	Estimate Mean of a Poisson Distribution Based on Type I Censored Data
`eqbeta()`	Estimate Quantiles of a Beta Distribution
`eqbinom()`	Estimate Quantiles of a Binomial Distribution
`eqevd()`	Estimate Quantiles of an Extreme Value (Gumbel) Distribution
`eqexp()`	Estimate Quantiles of an Exponential Distribution
`eqgamma()` `eqgammaAlt()`	Estimate Quantiles of a Gamma Distribution
`eqgeom()`	Estimate Quantiles of a Geometric Distribution
`eqgevd()`	Estimate Quantiles of a Generalized Extreme Value Distribution
`eqhyper()`	Estimate Quantiles of a Hypergeometric Distribution
`eqlnorm()`	Estimate Quantiles of a Lognormal Distribution
`eqlnorm3()`	Estimate Quantiles of a Three-Parameter Lognormal Distribution
`eqlnormCensored()`	Estimate Quantiles of a Lognormal Distribution Based on Type I Censored Data
`eqlogis()`	Estimate Quantiles of a Logistic Distribution
`eqnbinom()`	Estimate Quantiles of a Negative Binomial Distribution
`eqnorm()`	Estimate Quantiles of a Normal Distribution
`eqnormCensored()`	Estimate Quantiles of a Normal Distribution Based on Type I Censored Data
`eqnpar()`	Estimate Quantiles of a Distribution Nonparametrically
`eqpareto()`	Estimate Quantiles of a Pareto Distribution
`eqpois()`	Estimate Quantiles of a Poisson Distribution
`equnif()`	Estimate Quantiles of a Uniform Distribution
`eqweibull()`	Estimate Quantiles of a Weibull Distribution
`eqzmlnorm()` `eqzmlnormAlt()`	Estimate Quantiles of a Zero-Modified Lognormal (Delta) Distribution
`eqzmnorm()`	Estimate Quantiles of a Zero-Modified Normal Distribution
`errorBar()`	Plot Pointwise Error Bars
`estimate.object` `estimate`	S3 Class "estimate"
`estimateCensored.object` `estimateCensored`	S3 Class "estimateCensored"
`eunif()`	Estimate Parameters of a Uniform Distribution
`evNormOrdStats()` `evNormOrdStatsScalar()`	Expected Value of Order Statistics for Random Sample from Standard Normal Distribution
`eweibull()`	Estimate Parameters of a Weibull Distribution
`ezmlnorm()` `ezmlnormAlt()`	Estimate Parameters of a Zero-Modified Lognormal (Delta) Distribution
`ezmnorm()`	Estimate Parameters of a Zero-Modified Normal Distribution
`geoMean()`	Geometric Mean
`geoSD()`	Geometric Standard Deviation.
`geom_stripchart()`	1-D Scatter Plots with Confidence Intervals Using ggplot2
`gof.object` `gof`	S3 Class "gof"
`gofCensored.object` `gofCensored`	S3 Class "gofCensored"
`gofGroup.object` `gofGroup`	S3 Class "gofGroup"
`gofGroupTest()`	Goodness-of-Fit Test for a Specified Probability Distribution for Groups
`gofOutlier.object` `gofOutlier`	S3 Class "gofOutlier"
`gofTest()`	Goodness-of-Fit Test
`gofTestCensored()`	Goodness-of-Fit Test for Normal or Lognormal Distribution Based on Censored Data
`gofTwoSample.object` `gofTwoSample`	S3 Class "gofTwoSample"
`gpqCiNormSinglyCensored()` `gpqCiNormMultiplyCensored()`	Generalized Pivotal Quantity for Confidence Interval for the Mean of a Normal Distribution Based on Censored Data
`gpqTolIntNormSinglyCensored()` `gpqTolIntNormMultiplyCensored()`	Generalized Pivotal Quantity for Tolerance Interval for a Normal Distribution Based on Censored Data
`htest.object`	S3 Class "htest"
`htestCensored.object`	S3 Class "htestCensored"
`inversePredictCalibrate()`	Predict Concentration Using Calibration
`iqr()`	Interquartile Range
`kendallSeasonalTrendTest()`	Nonparametric Test for Monotonic Trend Within Each Season Based on Kendall's Tau Statistic
`kendallTrendTest()`	Kendall's Nonparametric Test for Montonic Trend
`kurtosis()`	Coefficient of (Excess) Kurtosis
`lMoment()`	Estimate \(L\)-Moments
`linearTrendTestN()`	Sample Size for a t-Test for Linear Trend
`linearTrendTestPower()`	Power of a t-Test for Linear Trend
`linearTrendTestScaledMds()`	Scaled Minimal Detectable Slope for a t-Test for Linear Trend
`longToWide()`	Convert a Long Format Data Set into a Wide Format
`newsEnvStats()`	Show the EnvStats NEWS File
`oneSamplePermutationTest()`	Fisher's One-Sample Randomization (Permutation) Test for Location
`pdfPlot()`	Plot Probability Density Function
`permutationTest.object`	S3 Class "permutationTest"
`plot(<boxcox>)`	Plot Results of Box-Cox Transformations
`plot(<boxcoxCensored>)`	Plot Results of Box-Cox Transformations Based on Type I Censored Data
`plot(<boxcoxLm>)`	Plot Results of Box-Cox Transformations for a Linear Model
`plot(<gof>)`	Plot Results of Goodness-of-Fit Test
`plot(<gofCensored>)`	Plot Results of Goodness-of-Fit Test Based on Censored Data
`plot(<gofGroup>)`	Plot Results of Group Goodness-of-Fit Test
`plot(<gofTwoSample>)`	Plot Results of Goodness-of-Fit Test to Compare Two Samples
`plot(<permutationTest>)`	Plot Results of Permutation Test
`plotAovDesign()`	Create Plots for a Sampling Design Based on a One-Way Fixed-Effects Analysis of Variance
`plotCiBinomDesign()`	Plots for Sampling Design Based on Confidence Interval for Binomial Proportion or Difference Between Two Proportions
`plotCiNormDesign()`	Plots for Sampling Design Based on Confidence Interval for Mean of a Normal Distribution or Difference Between Two Means
`plotCiNparDesign()`	Plots for Sampling Design Based on Nonparametric Confidence Interval for a Quantile
`plotLinearTrendTestDesign()`	Plots for a Sampling Design Based on a t-Test for Linear Trend
`plotPredIntLnormAltSimultaneousTestPowerCurve()`	Power Curves for Sampling Design for Test Based on Simultaneous Prediction Interval for Lognormal Distribution
`plotPredIntLnormAltTestPowerCurve()`	Power Curves for Sampling Design for Test Based on Prediction Interval for Lognormal Distribution
`plotPredIntNormDesign()`	Plots for a Sampling Design Based on a Prediction Interval for the Next \(k\) Observations from a Normal Distribution
`plotPredIntNormSimultaneousTestPowerCurve()`	Power Curves for Sampling Design for Test Based on Simultaneous Prediction Interval for Normal Distribution
`plotPredIntNormTestPowerCurve()`	Power Curves for Sampling Design for Test Based on Prediction Interval for Normal Distribution
`plotPredIntNparDesign()`	Plots for a Sampling Design Based on a Nonparametric Prediction Interval
`plotPredIntNparSimultaneousDesign()`	Plots for a Sampling Design Based on a Simultaneous Nonparametric Prediction Interval
`plotPredIntNparSimultaneousTestPowerCurve()`	Power Curves for Sampling Design for Test Based on Nonparametric Simultaneous Prediction Interval
`plotPropTestDesign()`	Plots for Sampling Design Based on One- or Two-Sample Proportion Test
`plotTTestDesign()`	Plots for a Sampling Design Based on a One- or Two-Sample t-Test
`plotTTestLnormAltDesign()`	Plots for a Sampling Design Based on a One- or Two-Sample t-Test, Assuming Lognormal Data
`plotTolIntNormDesign()`	Plots for a Sampling Design Based on a Tolerance Interval for a Normal Distribution
`plotTolIntNparDesign()`	Plots for a Sampling Design Based on a Nonparametric Tolerance Interval
`pointwise()`	Pointwise Confidence Limits for Predictions
`ppointsCensored()`	Plotting Positions for Type I Censored Data
`predIntGamma()` `predIntGammaAlt()`	Prediction Interval for Gamma Distribution
`predIntGammaSimultaneous()` `predIntGammaAltSimultaneous()`	Simultaneous Prediction Interval for a Gamma Distribution
`predIntLnorm()` `predIntLnormAlt()`	Prediction Interval for a Lognormal Distribution
`predIntLnormAltSimultaneousTestPower()`	Probability That at Least One Set of Future Observations Violates the Given Rule Based on a Simultaneous Prediction Interval for a Lognormal Distribution
`predIntLnormAltTestPower()`	Probability That at Least One Future Observation Falls Outside a Prediction Interval for a Lognormal Distribution
`predIntLnormSimultaneous()` `predIntLnormAltSimultaneous()`	Simultaneous Prediction Interval for a Lognormal Distribution
`predIntNorm()`	Prediction Interval for a Normal Distribution
`predIntNormHalfWidth()`	Half-Width of a Prediction Interval for the next \(k\) Observations from a Normal Distribution
`predIntNormK()`	Compute the Value of \(K\) for a Prediction Interval for a Normal Distribution
`predIntNormN()`	Sample Size for a Specified Half-Width of a Prediction Interval for the next \(k\) Observations from a Normal Distribution
`predIntNormSimultaneous()`	Simultaneous Prediction Interval for a Normal Distribution
`predIntNormSimultaneousK()`	Compute the Value of \(K\) for a Simultaneous Prediction Interval for a Normal Distribution
`predIntNormSimultaneousTestPower()`	Probability That at Least One Set of Future Observations Violates the Given Rule Based on a Simultaneous Prediction Interval for a Normal Distribution
`predIntNormTestPower()`	Probability That at Least One Future Observation Falls Outside a Prediction Interval for a Normal Distribution
`predIntNpar()`	Nonparametric Prediction Interval for a Continuous Distribution
`predIntNparConfLevel()`	Confidence Level for Nonparametric Prediction Interval for Continuous Distribution
`predIntNparN()`	Sample Size for a Nonparametric Prediction Interval for a Continuous Distribution
`predIntNparSimultaneous()`	Nonparametric Simultaneous Prediction Interval for a Continuous Distribution
`predIntNparSimultaneousConfLevel()`	Confidence Level of Simultaneous Nonparametric Prediction Interval for Continuous Distribution
`predIntNparSimultaneousN()`	Sample Size for Simultaneous Nonparametric Prediction Interval for Continuous Distribution
`predIntNparSimultaneousTestPower()`	Probability That at Least One Set of Future Observations Violates the Given Rule Based on a Nonparametric Simultaneous Prediction Interval
`predIntPois()`	Prediction Interval for a Poisson Distribution
`predict()`	Model Predictions
`predict(<lm>)`	Predict Method for Linear Model Fits
`print(<boxcox>)`	Print Output of Objective for Box-Cox Power Transformations
`print(<boxcoxCensored>)`	Print Output of Objective for Box-Cox Power Transformations Based on Type I Censored Data
`print(<boxcoxLm>)`	Print Output of Objective for Box-Cox Power Transformations for an "lm" Object
`print(<distChoose>)`	Print Output of Goodness-of-Fit Tests
`print(<distChooseCensored>)`	Print Output of Goodness-of-Fit Tests
`print(<estimate>)`	Print Objects of Class "estimate"
`print(<estimateCensored>)`	Print Objects of Class "estimateCensored"
`print(<gof>)`	Print Output of Goodness-of-Fit Tests
`print(<gofCensored>)`	Print Output of Goodness-of-Fit Tests Based on Censored Data
`print(<gofGroup>)`	Print Output of Group Goodness-of-Fit Tests
`print(<gofOutlier>)`	Print Output of Goodness-of-Fit Outlier Tests
`print(<gofTwoSample>)`	Print Output of Two-Sample Goodness-of-Fit Tests
`print(<htestCensored>)`	Print Output of Hypothesis Tests Based on Censored Data
`print(<htestEnvStats>)`	Print Output of Hypothesis Tests
`print(<permutationTest>)`	Print Output of Permutation Tests
`print(<summaryStats>)`	Print Summary Statistics
`propTestMdd()`	Minimal Detectable Difference Associated with a One- or Two-Sample Proportion Test
`propTestN()`	Compute Sample Size Necessary to Achieve a Specified Power for a One- or Two-Sample Proportion Test
`propTestPower()`	Compute the Power of a One- or Two-Sample Proportion Test
`pwMoment()`	Estimate Probability-Weighted Moments
`qqPlot()`	Quantile-Quantile (Q-Q) Plot
`qqPlotCensored()`	Quantile-Quantile (Q-Q) Plot for Type I Censored Data
`qqPlotGestalt()`	Develop Gestalt of Q-Q Plots for Specific Distributions
`quantileTest()`	Two-Sample Rank Test to Detect a Shift in a Proportion of the "Treated" Population
`quantileTestPValue()`	Compute p-Value for the Quantile Test
`rosnerTest()`	Rosner's Test for Outliers
`serialCorrelationTest()`	Test for the Presence of Serial Correlation
`signTest()`	One-Sample or Paired-Sample Sign Test on a Median
`simulateMvMatrix()`	Simulate a Multivariate Matrix Based on a Specified Rank Correlation Mat
`simulateVector()`	Simulate a Vector of Random Numbers From a Specified Theoretical or Empirical Probability Distribution
`skewness()`	Coefficient of Skewness
`stat_mean_sd_text()`	Add Text Indicating the Mean and Standard Deviation to a ggplot2 Plot
`stat_median_iqr_text()`	Add Text Indicating the Median and Interquartile Range to a ggplot2 Plot
`stat_n_text()`	Add Text Indicating the Sample Size to a ggplot2 Plot
`stat_test_text()`	Add Text to a ggplot2 Plot Indicating the Results of a Hypothesis Test
`stripChart()`	1-D Scatter Plots with Confidence Intervals
`summaryFull()`	Full Complement of Summary Statistics
`summaryStats()`	Summary Statistics
`summaryStats.object`	S3 Class "summaryStats"
`tTestAlpha()`	Type I Error Level for a One- or Two-Sample t-Test
`tTestLnormAltN()`	Sample Size for a One- or Two-Sample t-Test, Assuming Lognormal Data
`tTestLnormAltPower()`	Power of a One- or Two-Sample t-Test Assuming Lognormal Data
`tTestLnormAltRatioOfMeans()`	Minimal or Maximal Detectable Ratio of Means for One- or Two-Sample t-Test, Assuming Lognormal Data
`tTestN()`	Sample Size for a One- or Two-Sample t-Test
`tTestPower()`	Power of a One- or Two-Sample t-Test
`tTestScaledMdd()`	Scaled Minimal Detectable Difference for One- or Two-Sample t-Test
`tolIntGamma()` `tolIntGammaAlt()`	Tolerance Interval for a Gamma Distribution
`tolIntLnorm()` `tolIntLnormAlt()`	Tolerance Interval for a Lognormal Distribution
`tolIntLnormCensored()`	Tolerance Interval for a Lognormal Distribution Based on Censored Data
`tolIntNorm()`	Tolerance Interval for a Normal Distribution
`tolIntNormCensored()`	Tolerance Interval for a Normal Distribution Based on Censored Data
`tolIntNormHalfWidth()`	Half-Width of a Tolerance Interval for a Normal Distribution
`tolIntNormK()`	Compute the Value of \(K\) for a Tolerance Interval for a Normal Distribution
`tolIntNormN()`	Sample Size for a Specified Half-Width of a Tolerance Interval for a Normal Distribution
`tolIntNpar()`	Nonparametric Tolerance Interval for a Continuous Distribution
`tolIntNparConfLevel()`	Confidence Level for Nonparametric Tolerance Interval for Continuous Distribution
`tolIntNparCoverage()`	Coverage for Nonparametric Tolerance Interval for Continuous Distribution
`tolIntNparN()`	Sample Size for Nonparametric Tolerance Interval for Continuous Distribution
`tolIntPois()`	Tolerance Interval for a Poisson Distribution
`twoSampleLinearRankTest()`	Two-Sample Linear Rank Test to Detect a Difference Between Two Distributions
`twoSampleLinearRankTestCensored()`	Two-Sample Linear Rank Test to Detect a Difference Between Two Distributions Based on Censored Data
`twoSamplePermutationTestLocation()`	Two-Sample or Paired-Sample Randomization (Permutation) Test for Location
`twoSamplePermutationTestProportion()`	Randomization (Permutation) Test to Compare Two Proportions (Fisher's Exact Test)
`varGroupTest()`	Test for Homogeneity of Variance Among Two or More Groups
`varTest()`	One-Sample Chi-Squared Test on Variance
`zTestGevdShape()`	Test Whether the Shape Parameter of a Generalized Extreme Value Distribution is Equal to 0

Reference

All functions