Package: EnvStats 3.0.0

Alexander Kowarik

EnvStats: Package for Environmental Statistics, Including US EPA Guidance

Graphical and statistical analyses of environmental data, with focus on analyzing chemical concentrations and physical parameters, usually in the context of mandated environmental monitoring. Major environmental statistical methods found in the literature and regulatory guidance documents, with extensive help that explains what these methods do, how to use them, and where to find them in the literature. Numerous built-in data sets from regulatory guidance documents and environmental statistics literature. Includes scripts reproducing analyses presented in the book "EnvStats: An R Package for Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4, <doi:10.1007/978-1-4614-8456-1>).

Authors:Steven P. Millard [aut], Alexander Kowarik [ctb, cre]

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EnvStats/json (API)
NEWS

# Install 'EnvStats' in R:
install.packages('EnvStats', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/alexkowa/envstats/issues

Datasets:

On CRAN:

12.79 score 26 stars 43 packages 2.2k scripts 19k downloads 24 mentions 305 exports 29 dependencies

Last updated 2 months agofrom:408a24fb10. Checks:OK: 7. Indexed: no.

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Doc / VignettesOKSep 28 2024
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Exports:anovaPEaovNaovPowerbaseboxcoxboxcoxCensoredboxcoxTransformcalibratecdfComparecdfCompareCensoredcdfPlotchenTTestciBinomHalfWidthciBinomNciNormHalfWidthciNormNciNparConfLevelciNparNciTableMeanciTablePropcvdchidempdetectionLimitCalibratedevddgammaAltdgevddistChoosedistChooseCensoreddlnorm3dlnormAltdlnormMixdlnormMixAltdlnormTruncdlnormTruncAltdnormMixdnormTruncdparetodtridzmlnormdzmlnormAltdzmnormebetaebinomecdfPlotecdfPlotCensoredeevdeexpegammaegammaAltegammaAltCensoredegammaCensoredegeomegevdehyperelnormelnorm3elnormAltelnormAltCensoredelnormCensoredelogisenbinomenormenormCensoredenparenparCensoredeparetoepdfPlotepoisepoisCensoredeqbetaeqbinomeqevdeqexpeqgammaeqgammaAlteqgeomeqgevdeqhypereqlnormeqlnorm3eqlnormCensoredeqlogiseqnbinomeqnormeqnormCensoredeqnpareqparetoeqpoisequnifeqweibulleqzmlnormeqzmlnormAlteqzmnormerrorBareunifevNormOrdStatsevNormOrdStatsScalareweibullezmlnormezmlnormAltezmnormgeom_stripchartgeoMeangeoSDgofGroupTestgofTestgofTestCensoredgpqCiNormMultiplyCensoredgpqCiNormSinglyCensoredgpqTolIntNormMultiplyCensoredgpqTolIntNormSinglyCensoredinversePredictCalibrateiqrkendallSeasonalTrendTestkendallTrendTestkurtosislinearTrendTestNlinearTrendTestPowerlinearTrendTestScaledMdslMomentlongToWidenewsEnvStatsoneSamplePermutationTestpchipdfPlotpemppevdpgammaAltpgevdplnorm3plnormAltplnormMixplnormMixAltplnormTruncplnormTruncAltplot.boxcoxplot.boxcoxCensoredplot.boxcoxLmplot.gofplot.gofCensoredplot.gofGroupplot.gofTwoSampleplot.permutationTestplotAovDesignplotCiBinomDesignplotCiNormDesignplotCiNparDesignplotLinearTrendTestDesignplotPredIntLnormAltSimultaneousTestPowerCurveplotPredIntLnormAltTestPowerCurveplotPredIntNormDesignplotPredIntNormSimultaneousTestPowerCurveplotPredIntNormTestPowerCurveplotPredIntNparDesignplotPredIntNparSimultaneousDesignplotPredIntNparSimultaneousTestPowerCurveplotPropTestDesignplotTolIntNormDesignplotTolIntNparDesignplotTTestDesignplotTTestLnormAltDesignpnormMixpnormTruncpointwisepparetoppointsCensoredpredictpredict.defaultpredict.lmpredIntGammapredIntGammaAltpredIntGammaAltSimultaneouspredIntGammaSimultaneouspredIntLnormpredIntLnormAltpredIntLnormAltSimultaneouspredIntLnormAltSimultaneousTestPowerpredIntLnormAltTestPowerpredIntLnormSimultaneouspredIntNormpredIntNormHalfWidthpredIntNormKpredIntNormNpredIntNormSimultaneouspredIntNormSimultaneousKpredIntNormSimultaneousTestPowerpredIntNormTestPowerpredIntNparpredIntNparConfLevelpredIntNparNpredIntNparSimultaneouspredIntNparSimultaneousConfLevelpredIntNparSimultaneousNpredIntNparSimultaneousTestPowerpredIntPoisprint.boxcoxprint.boxcoxCensoredprint.boxcoxLmprint.estimateprint.estimateCensoredprint.gofprint.gofCensoredprint.gofGroupprint.gofOutlierprint.gofTwoSampleprint.htestCensoredprint.htestEnvStatsprint.permutationTestprint.summaryStatspropTestMddpropTestNpropTestPowerptripwMomentpzmlnormpzmlnormAltpzmnormqchiqempqevdqgammaAltqgevdqlnorm3qlnormAltqlnormMixqlnormMixAltqlnormTruncqlnormTruncAltqnormMixqnormTruncqparetoqqPlotqqPlotCensoredqqPlotGestaltqtriquantileTestquantileTestPValueqzmlnormqzmlnormAltqzmnormrchiremprevdrgammaAltrgevdrlnorm3rlnormAltrlnormMixrlnormMixAltrlnormTruncrlnormTruncAltrnormMixrnormTruncrosnerTestrparetortrirzmlnormrzmlnormAltrzmnormserialCorrelationTestsignTestsimulateMvMatrixsimulateVectorskewnessstat_mean_sd_textstat_median_iqr_textstat_n_textstat_test_textStatMeanSDTextStatMedianIQRTextStatNTextStatTestTextstripChartsummaryFullsummaryStatstolIntGammatolIntGammaAlttolIntLnormtolIntLnormAlttolIntLnormCensoredtolIntNormtolIntNormCensoredtolIntNormHalfWidthtolIntNormKtolIntNormNtolIntNpartolIntNparConfLeveltolIntNparCoveragetolIntNparNtolIntPoistTestAlphatTestLnormAltNtTestLnormAltPowertTestLnormAltRatioOfMeanstTestNtTestPowertTestScaledMddtwoSampleLinearRankTesttwoSampleLinearRankTestCensoredtwoSamplePermutationTestLocationtwoSamplePermutationTestProportionvarGroupTestvarTestzTestGevdShape

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmenortestpillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Trichloroethylene Concentrations Before and After RemedationACE.13.TCE.df
Compute Lack-of-Fit and Pure Error Anova Table for a Linear ModelanovaPE
Compute Sample Size Necessary to Achieve Specified Power for One-Way Fixed-Effects Analysis of VarianceaovN
Compute the Power of a One-Way Fixed-Effects Analysis of VarianceaovPower
Base b Representation of a Numberbase
Lead concentration in soil samples.Beal.2010.Pb.df
Benthic Data from Monitoring Program in Chesapeake BayBenthic.df
Randomly sampled measurements of an analyte in soil samples.BJC.2000.df
Boxcox Power TransformationBox-Cox Box-Cox Transformation BoxCox boxcox BoxCox Transformation boxcox.default boxcox.lm
S3 Class "boxcox"boxcox.object
Boxcox Power Transformation for Type I Censored DataBox-Cox Censored Box-Cox Transformation for Censored Data BoxCox Censored BoxCox Transformation for Censored Data boxcoxCensored
S3 Class "boxcoxCensored"boxcoxCensored.object
S3 Class "boxcoxLm"boxcoxLm.object
Apply a Box-Cox Power Transformation to a Set of DataboxcoxTransform
Fit a Calibration Line or Curvecalibrate
S3 Class "calibrate"calibrate.object
Abstract: Castillo and Hadi (1994)Castillo and Hadi 1994 CastilloAndHadi1994
Plot Two Cumulative Distribution FunctionscdfCompare Compare CDFs
Plot Two Cumulative Distribution Functions Based on Censored DatacdfCompareCensored Compare CDFs for Censored Data
Plot Cumulative Distribution FunctioncdfPlot Cumulative Distribution Plot CDF Plot Cumulative Distribution
Chen's Modified One-Sided t-test for Skewed DistributionschenTTest
The Chi DistributionChi dchi pchi qchi rchi
Half-Width of Confidence Interval for Binomial Proportion or Difference Between Two ProportionsciBinomHalfWidth
Sample Size for Specified Half-Width of Confidence Interval for Binomial Proportion or Difference Between Two ProportionsciBinomN
Half-Width of Confidence Interval for Normal Distribution Mean or Difference Between Two MeansciNormHalfWidth
Sample Size for Specified Half-Width of Confidence Interval for Normal Distribution Mean or Difference Between Two MeansciNormN
Compute Confidence Level Associated with a Nonparametric Confidence Interval for a QuantileciNparConfLevel
Sample Size for Nonparametric Confidence Interval for a QuantileciNparN
Table of Confidence Intervals for Mean or Difference Between Two MeansciTableMean
Table of Confidence Intervals for Proportion or Difference Between Two ProportionsciTableProp
Sample Coefficient of Variation.Coefficient of Variation coefficient of variation CV cv
Determine Detection LimitDetection Limit detection limit detectionLimitCalibrate
Choose Best Fitting Distribution Based on Goodness-of-Fit TestsdistChoose distChoose.default distChoose.formula
S3 Class "distChoose"distChoose.object
Choose Best Fitting Distribution Based on Goodness-of-Fit Tests for Censored DatadistChooseCensored
S3 Class "distChooseCensored"distChooseCensored.object
Data Frame Summarizing Available Probability Distributions and Estimation MethodsDistribution.df
Estimate Parameters of a Beta Distributionebeta
Estimate Parameter of a Binomial Distributionebinom
Empirical Cumulative Distribution Function PlotecdfPlot
Empirical Cumulative Distribution Function Plot Based on Type I Censored DataecdfPlotCensored
Estimate Parameters of an Extreme Value (Gumbel) Distributioneevd
Estimate Rate Parameter of an Exponential Distributioneexp
Estimate Parameters of Gamma Distributionegamma egammaAlt
Estimate Mean and Coefficient of Variation for a Gamma Distribution Based on Type I Censored DataegammaAltCensored
Estimate Shape and Scale Parameters for a Gamma Distribution Based on Type I Censored DataegammaCensored
Estimate Probability Parameter of a Geometric Distributionegeom
Estimate Parameters of a Generalized Extreme Value Distributionegevd
Estimate Parameter of a Hypergeometric Distributionehyper
Estimate Parameters of a Lognormal Distribution (Log-Scale)elnorm
Estimate Parameters of a Three-Parameter Lognormal Distribution (Log-Scale)elnorm3
Estimate Parameters of a Lognormal Distribution (Original Scale)elnormAlt
Estimate Parameters for a Lognormal Distribution (Original Scale) Based on Type I Censored DataelnormAltCensored
Estimate Parameters for a Lognormal Distribution (Log-Scale) Based on Type I Censored DataelnormCensored
Estimate Parameters of a Logistic Distributionelogis
The Empirical Distribution Based on a Set of Observationsdemp Empirical pemp qemp remp
Estimate Probability Parameter of a Negative Binomial Distributionenbinom
Estimate Parameters of a Normal (Gaussian) Distributionenorm
Estimate Parameters for a Normal Distribution Based on Type I Censored DataenormCensored
Estimate Mean, Standard Deviation, and Standard Error Nonparametricallyenpar
Estimate Mean, Standard Deviation, and Standard Error Nonparametrically Based on Censored DataenparCensored
Atmospheric Environmental Conditions in New York CityAir.df Environmental Environmental.df
Concentrations in Exhibit 2 of 2002d USEPA Guidance DocumentEPA.02d.Ex.2.ug.per.L.vec
Concentrations in Exhibit 4 of 2002d USEPA Guidance DocumentEPA.02d.Ex.4.mg.per.kg.vec
Concentrations in Exhibit 6 of 2002d USEPA Guidance DocumentEPA.02d.Ex.6.mg.per.kg.vec
Concentrations in Exhibit 9 of 2002d USEPA Guidance DocumentEPA.02d.Ex.9.mg.per.L.vec
Nickel Concentrations from Example 10-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.10.1.nickel.df
Arsenic Concentrations from Example 11-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.11.1.arsenic.df
Carbon Tetrachloride Concentrations from Example 12-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.12.1.ccl4.df
Naphthalene Concentrations from Example 12-4 of 2009 USEPA Guidance DocumentEPA.09.Ex.12.4.naphthalene.df
Iron Concentrations from Example 13-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.13.1.iron.df
Manganese Concentrations from Example 14-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.14.1.manganese.df
Alkalinity Measures from Example 14-3 of 2009 USEPA Guidance DocumentEPA.09.Ex.14.3.alkalinity.df
Arsenic Concentrations from Example 14-4 of 2009 USEPA Guidance DocumentEPA.09.Ex.14.4.arsenic.df
Analyte Concentrations from Example 14-8 of 2009 USEPA Guidance DocumentEPA.09.Ex.14.8.df
Manganese Concentrations from Example 15-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.15.1.manganese.df
Sulfate Concentrations from Example 16-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.16.1.sulfate.df
Benzene Concentrations from Example 16-2 of 2009 USEPA Guidance DocumentEPA.09.Ex.16.2.benzene.df
Copper Concentrations from Example 16-4 of 2009 USEPA Guidance DocumentEPA.09.Ex.16.4.copper.df
Tetrachloroethylene Concentrations from Example 16-5 of 2009 USEPA Guidance DocumentEPA.09.Ex.16.5.PCE.df
Log-transformed Lead Concentrations from Example 17-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.17.1.loglead.df
Toluene Concentrations from Example 17-2 of 2009 USEPA Guidance DocumentEPA.09.Ex.17.2.toluene.df
Chrysene Concentrations from Example 17-3 of 2009 USEPA Guidance DocumentEPA.09.Ex.17.3.chrysene.df
Log-transformed Chrysene Concentrations from Example 17-3 of 2009 USEPA Guidance DocumentEPA.09.Ex.17.3.log.chrysene.df
Copper Concentrations from Example 17-4 of 2009 USEPA Guidance DocumentEPA.09.Ex.17.4.copper.df
Chloride Concentrations from Example 17-5 of 2009 USEPA Guidance DocumentEPA.09.Ex.17.5.chloride.df
Sulfate Concentrations from Example 17-6 of 2009 USEPA Guidance DocumentEPA.09.Ex.17.6.sulfate.df
Sodium Concentrations from Example 17-7 of 2009 USEPA Guidance DocumentEPA.09.Ex.17.7.sodium.df
Arsenic Concentrations from Example 18-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.18.1.arsenic.df
Chrysene Concentrations from Example 18-2 of 2009 USEPA Guidance DocumentEPA.09.Ex.18.2.chrysene.df
Trichloroethylene Concentrations from Example 18-3 of 2009 USEPA Guidance DocumentEPA.09.Ex.18.3.TCE.df
Xylene Concentrations from Example 18-4 of 2009 USEPA Guidance DocumentEPA.09.Ex.18.4.xylene.df
Sulfate Concentrations from Example 19-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.19.1.sulfate.df
Chloride Concentrations from Example 19-2 of 2009 USEPA Guidance DocumentEPA.09.Ex.19.2.chloride.df
Mercury Concentrations from Example 19-5 of 2009 USEPA Guidance DocumentEPA.09.Ex.19.5.mercury.df
Nickel Concentrations from Example 20-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.20.1.nickel.df
Aldicarb Concentrations from Example 21-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.21.1.aldicarb.df
Benzene Concentrations from Example 21-2 of 2009 USEPA Guidance DocumentEPA.09.Ex.21.2.benzene.df
Beryllium Concentrations from Example 21-5 of 2009 USEPA Guidance DocumentEPA.09.Ex.21.5.beryllium.df
Nitrate Concentrations from Example 21-6 of 2009 USEPA Guidance DocumentEPA.09.Ex.21.6.nitrate.df
Trichloroethylene Concentrations from Example 21-7 of 2009 USEPA Guidance DocumentEPA.09.Ex.21.7.TCE.df
Vinyl Chloride Concentrations from Example 22-1 of 2009 USEPA Guidance DocumentEPA.09.Ex.22.1.VC.df
Specific Conductance from Example 22-2 of 2009 USEPA Guidance DocumentEPA.09.Ex.22.2.Specific.Conductance.df
Sulfate Concentrations from Example 6-3 of 2009 USEPA Guidance DocumentEPA.09.Ex.6.3.sulfate.df
Arsenic concentrations from Example 7.1 of 2009 USEPA Guidance DocumentEPA.09.Ex.7.1.arsenic.df
Trichloroethene concentrations in Table 9.1 of 2009 USEPA Guidance DocumentEPA.09.Table.9.1.TCE.df
Arsenic, Mercury and Strontium Concentrations in Table 9-3 of 2009 USEPA Guidance DocumentEPA.09.Table.9.3.df
Nickel Concentrations in Table 9-4 of 2009 USEPA Guidance DocumentEPA.09.Table.9.4.nickel.vec
Aldicarb Concentrations from 1989 USEPA Guidance DocumentEPA.89b.aldicarb1.df
Aldicarb Concentrations from 1989 USEPA Guidance DocumentAldicarb EPA.89b.aldicarb2.df
Benzene Concentrations from 1989 USEPA Guidance DocumentBenzene EPA.89b.benzene.df
Cadmium Concentrations from 1989 USEPA Guidance DocumentCadmium EPA.89b.cadmium.df
Chlordane Concentrations from 1989 USEPA Guidance DocumentChlordane EPA.89b.chlordane1.df
Chlordane Concentrations from 1989 USEPA Guidance DocumentEPA.89b.chlordane2.df
EDB Concentrations from 1989 USEPA Guidance DocumentEPA.89b.edb.df
Lead Concentrations from 1989 USEPA Guidance DocumentEPA.89b.lead.df
Log-transformed Lead Concentrations from 1989 USEPA Guidance DocumentEPA.89b.loglead.df
Manganese Concentrations from 1989 USEPA Guidance DocumentEPA.89b.manganese.df
Sulfate Concentrations from 1989 USEPA Guidance DocumentEPA.89b.sulfate.df
T-29 Concentrations from 1989 USEPA Guidance DocumentEPA.89b.t29.df
Total Organic Carbon Concentrations from 1989 USEPA Guidance DocumentEPA.89b.toc.vec
Arsenic Concentrations from 1992 USEPA Guidance DocumentEPA.92c.arsenic1.df
Arsenic Concentrations from 1992 USEPA Guidance DocumentEPA.92c.arsenic2.df
Arsenic Concentrations from 1992 USEPA Guidance DocumentEPA.92c.arsenic3.df
Benzene Concentrations from 1992 USEPA Guidance DocumentEPA.92c.benzene1.df
Benzene Concentrations from 1992 USEPA Guidance DocumentEPA.92c.benzene2.df
Carbon Tetrachloride Concentrations from 1992 USEPA Guidance DocumentEPA.92c.ccl4.df
Chrysene Concentrations from 1992 USEPA Guidance DocumentEPA.92c.chrysene.df
Copper Concentrations from 1992 USEPA Guidance DocumentEPA.92c.copper1.df
Copper Concentrations from 1992 USEPA Guidance DocumentEPA.92c.copper2.df
Log-transformed Nickel Concentrations from 1992 USEPA Guidance DocumentEPA.92c.lognickel1.df
Nickel Concentrations from 1992 USEPA Guidance DocumentEPA.92c.nickel1.df
Nickel Concentrations from 1992 USEPA Guidance DocumentEPA.92c.nickel2.df
Toluene Concentrations from 1992 USEPA Guidance DocumentEPA.92c.toluene.df
Zinc Concentrations from 1992 USEPA Guidance DocumentEPA.92c.zinc.df
Chromium Concentrations from 1992 USEPA Guidance DocumentEPA.92d.chromium.df
Chromium Concentrations from 1992 USEPA Guidance DocumentEPA.92d.chromium.vec
Lead Concentrations from 1994 USEPA Guidance DocumentEPA.94b.lead.df
1,2,3,4-Tetrachlorobenzene Concentrations from 1994 USEPA Guidance DocumentEPA.94b.tccb.df
Calibration Data for Cadmium at Mass 111EPA.97.cadmium.111.df
Estimate Parameters of a Pareto Distributionepareto
Plot Empirical Probability Density Functionempirical PDF epdfPlot
Estimate Parameter of a Poisson Distributionepois
Estimate Mean of a Poisson Distribution Based on Type I Censored DataepoisCensored
Estimate Quantiles of a Beta Distributioneqbeta
Estimate Quantiles of a Binomial Distributioneqbinom
Estimate Quantiles of an Extreme Value (Gumbel) Distributioneqevd
Estimate Quantiles of an Exponential Distributioneqexp
Estimate Quantiles of a Gamma Distributioneqgamma eqgammaAlt
Estimate Quantiles of a Geometric Distributioneqgeom
Estimate Quantiles of a Generalized Extreme Value Distributioneqgevd
Estimate Quantiles of a Hypergeometric Distributioneqhyper
Estimate Quantiles of a Lognormal Distributioneqlnorm
Estimate Quantiles of a Three-Parameter Lognormal Distributioneqlnorm3
Estimate Quantiles of a Lognormal Distribution Based on Type I Censored DataeqlnormCensored
Estimate Quantiles of a Logistic Distributioneqlogis
Estimate Quantiles of a Negative Binomial Distributioneqnbinom
Estimate Quantiles of a Normal Distributioneqnorm
Estimate Quantiles of a Normal Distribution Based on Type I Censored DataeqnormCensored
Estimate Quantiles of a Distribution Nonparametricallyeqnpar
Estimate Quantiles of a Pareto Distributioneqpareto
Estimate Quantiles of a Poisson Distributioneqpois
Estimate Quantiles of a Uniform Distributionequnif
Estimate Quantiles of a Weibull Distributioneqweibull
Estimate Quantiles of a Zero-Modified Lognormal (Delta) Distributioneqzmlnorm eqzmlnormAlt
Estimate Quantiles of a Zero-Modified Normal Distributioneqzmnorm
Plot Pointwise Error BarserrorBar
S3 Class "estimate"estimate estimate.object
S3 Class "estimateCensored"estimateCensored estimateCensored.object
Euler's ConstantEulers Constant EulersConstant
Estimate Parameters of a Uniform Distributioneunif
The Extreme Value (Gumbel) Distributiondevd EVD Extreme Value Distribution Gumbel Distribution pevd qevd revd
Expected Value of Order Statistics for Random Sample from Standard Normal DistributionevNormOrdStats evNormOrdStatsScalar
Estimate Parameters of a Weibull Distributioneweibull
Estimate Parameters of a Zero-Modified Lognormal (Delta) Distributionezmlnorm ezmlnormAlt
Estimate Parameters of a Zero-Modified Normal Distributionezmnorm
EnvStats Functions Listed by CategoryFcnsByCat Functions By Category
EnvStats Functions for CalibrationCalibration FcnsByCatCalibration
EnvStats Functions for Censored DataCensored Data EnvStats Functions for Censored Data FcnsByCatCensoredData Functions for Censored Data
EnvStats Functions for Data TransformationsData Transformations FcnsByCatDataTrans
EnvStats Functions for Estimating Distribution ParametersEstimating Distribution Parameters FcnsByCatEstDistParams
EnvStats Functions for Estimating Distribution QuantilesEstimating Distribution Quantiles FcnsByCatEstDistQuants
EnvStats Functions for Goodness-of-Fit TestsEnvStats Functions for Goodness-of-Fit Tests FcnsByCatGOFTests GOF Goodness-of-Fit Tests
EnvStats Functions for Hypothesis TestsFcnsByCatHypothTests Hypothesis Tests
EnvStats Functions for Monte Carlo Simulation and Risk AssessmentFcnsByCatMCandRisk Monte Carlo Simulation and Risk Assessment
EnvStats Functions for Plotting Probability DistributionsFcnsByCatPlotProbDists Plot Probability Distributions Plotting Probability Distributions
EnvStats Functions for Creating Plots Using the ggplot2 PackageFcnsByCatPlotUsingggplot2 Plot Using ggplot2 Plotting Using ggplot2
EnvStats Functions for Power and Sample Size CalculationsFcnsByCatPower Power and Sample Size Power and Sample Size Calculations
EnvStats Functions for Prediction IntervalsFcnsByCatPredInts Prediction Intervals
EnvStats Functions for Printing and Plotting Objects of Various S3 ClassesFcnsByCatPrintPlot Printing and Plotting Methods
EnvStats Probability Distributions and Random NumbersFcnsByCatProbDists Probability Distributions Probability Distributions and Random Numbers
EnvStats Functions for Summary Statistics and PlotsFcnsByCatSumStats Summary Plots Summary Statistics
EnvStats Functions for Tolerance IntervalsFcnsByCatTolInts Tolerance Intervals
EnvStats Functions for Trend AnalysisFcnsByCatTrend Trend Analysis
The Gamma Distribution (Alternative Parameterization)dgammaAlt Gamma Distribution GammaAlt pgammaAlt qgammaAlt rgammaAlt
1-D Scatter Plots with Confidence Intervals Using ggplot2geom_stripchart
Geometric MeangeoMean Geometric Mean geometric mean
Geometric Standard Deviation.Geometric SD geometric SD Geometric Standard Deviation geometric standard deviation geoSD
The Generalized Extreme Value Distributiondgevd Generalized Extreme Value Distribution GEVD pgevd qgevd rgevd
Alkilinity Data from Gibbons et al. (2009)Gibbons.et.al.09.Alkilinity.vec
Vinyl Chloride Data from Gibbons et al. (2009)Gibbons.et.al.09.Vinyl.Chloride.vec
S3 Class "gof"gof gof.object
S3 Class "gofCensored"gofCensored gofCensored.object
S3 Class "gofGroup"gofGroup gofGroup.object
Goodness-of-Fit Test for a Specified Probability Distribution for GroupsgofGroupTest gofGroupTest.data.frame gofGroupTest.default gofGroupTest.formula gofGroupTest.list gofGroupTest.matrix
S3 Class "gofOutlier"gofOutlier gofOutlier.object
Goodness-of-Fit TestgofTest gofTest.default gofTest.formula
Goodness-of-Fit Test for Normal or Lognormal Distribution Based on Censored DatagofTestCensored
S3 Class "gofTwoSample"gofTwoSample gofTwoSample.object
Generalized Pivotal Quantity for Confidence Interval for the Mean of a Normal Distribution Based on Censored DatagpqCiNormCensored gpqCiNormMultiplyCensored gpqCiNormSinglyCensored
Generalized Pivotal Quantity for Tolerance Interval for a Normal Distribution Based on Censored DatagpqTolIntNormCensored gpqTolIntNormMultiplyCensored gpqTolIntNormSinglyCensored
Ethylene Thiourea Dose-Response DataGraham.et.al.75.etu.df
Adjusted Alpha Levels to Compute Confidence Intervals for the Mean of a Gamma DistributionGrice.Bain.80.mat
Example of Multiply Left-censored Data from LiteratureHelsel.Cohn.88.app.b.df
Silver Concentrations From An Interlab ComparisonHelsel.Cohn.88.silver.df
Paired Counts of Mayfly Nymphs Above and Below Industrial OutfallsHelsel.Hirsch.02.Mayfly.df
Abstract: Hosking et al. (1985)Hosking et al 1985 HoskingEtAl1985
S3 Class "htest"htest.object
S3 Class "htestCensored"htestCensored.object
Predict Concentration Using CalibrationinversePredictCalibrate
Interquartile RangeInterquartile Range iqr
Nonparametric Test for Monotonic Trend Within Each Season Based on Kendall's Tau StatistickendallSeasonalTrendTest kendallSeasonalTrendTest.data.frame kendallSeasonalTrendTest.default kendallSeasonalTrendTest.formula kendallSeasonalTrendTest.matrix
Kendall's Nonparametric Test for Montonic TrendkendallTrendTest kendallTrendTest.default kendallTrendTest.formula
Coefficient of (Excess) KurtosisKurtosis kurtosis sample kurtosis
Fecal Coliform Data from the Illinois RiverLin.Evans.80.df
Sample Size for a t-Test for Linear TrendlinearTrendTestN
Power of a t-Test for Linear TrendlinearTrendTestPower
Scaled Minimal Detectable Slope for a t-Test for Linear TrendlinearTrendTestScaledMds
Estimate L-MomentslMoment
The Three-Parameter Lognormal Distributiondlnorm3 Lognormal3 plnorm3 qlnorm3 rlnorm3 Three Parameter Lognormal
The Lognormal Distribution (Alternative Parameterization)dlnormAlt LognormalAlt plnormAlt qlnormAlt rlnormAlt
Mixture of Two Lognormal DistributionsdlnormMix LognormalMix plnormMix qlnormMix rlnormMix
Mixture of Two Lognormal Distributions (Alternative Parameterization)dlnormMixAlt LognormalMixAlt plnormMixAlt qlnormMixAlt rlnormMixAlt
The Truncated Lognormal DistributiondlnormTrunc LognormalTrunc plnormTrunc qlnormTrunc rlnormTrunc
The Truncated Lognormal Distribution (Alternative Parameterization)dlnormTruncAlt LognormalTruncAlt plnormTruncAlt qlnormTruncAlt rlnormTruncAlt
Convert a Long Format Data Set into a Wide FormatlongToWide
Copper and Zinc Concentrations in Shallow Ground WaterMillard.Deverel.88.df
Modified 1,2,3,4-Tetrachlorobenzene Data with Censored ValuesModified.TcCB.df
Show the EnvStats NEWS FilenewsEnvStats
NIOSH Air Lead Levels DataNIOSH.89.air.lead.vec
Mixture of Two Normal DistributionsdnormMix NormalMix pnormMix qnormMix rnormMix
The Truncated Normal DistributiondnormTrunc NormalTrunc pnormTrunc qnormTrunc rnormTrunc
Ammonium Concentration in Precipitation Measured at Olympic National Park Hoh Ranger StationOlympic.NH4.df
Fisher's One-Sample Randomization (Permutation) Test for LocationoneSamplePermutationTest
Ozone Concentrations in the Northeast U.S.Ozone.NE.df
The Pareto Distributiondpareto Pareto ppareto qpareto rpareto
Plot Probability Density FunctionpdfPlot Plot PDF Plot Probability Density Probability Density
S3 Class "permutationTest"permutationTest.object
Plot Results of Box-Cox Transformationsplot.boxcox
Plot Results of Box-Cox Transformations Based on Type I Censored Dataplot.boxcoxCensored
Plot Results of Box-Cox Transformations for a Linear Modelplot.boxcoxLm
Plot Results of Goodness-of-Fit Testplot.gof
Plot Results of Goodness-of-Fit Test Based on Censored Dataplot.gofCensored
Plot Results of Group Goodness-of-Fit Testplot.gofGroup
Plot Results of Goodness-of-Fit Test to Compare Two Samplesplot.gofTwoSample
Plot Results of Permutation Testplot.permutationTest
Create Plots for a Sampling Design Based on a One-Way Fixed-Effects Analysis of VarianceplotAovDesign
Plots for Sampling Design Based on Confidence Interval for Binomial Proportion or Difference Between Two ProportionsplotCiBinomDesign
Plots for Sampling Design Based on Confidence Interval for Mean of a Normal Distribution or Difference Between Two MeansplotCiNormDesign
Plots for Sampling Design Based on Nonparametric Confidence Interval for a QuantileplotCiNparDesign
Plots for a Sampling Design Based on a t-Test for Linear TrendplotLinearTrendTestDesign
Power Curves for Sampling Design for Test Based on Simultaneous Prediction Interval for Lognormal DistributionplotPredIntLnormAltSimultaneousTestPowerCurve
Power Curves for Sampling Design for Test Based on Prediction Interval for Lognormal DistributionplotPredIntLnormAltTestPowerCurve
Plots for a Sampling Design Based on a Prediction Interval for the Next k Observations from a Normal DistributionplotPredIntNormDesign
Power Curves for Sampling Design for Test Based on Simultaneous Prediction Interval for Normal DistributionplotPredIntNormSimultaneousTestPowerCurve
Power Curves for Sampling Design for Test Based on Prediction Interval for Normal DistributionplotPredIntNormTestPowerCurve
Plots for a Sampling Design Based on a Nonparametric Prediction IntervalplotPredIntNparDesign
Plots for a Sampling Design Based on a Simultaneous Nonparametric Prediction IntervalplotPredIntNparSimultaneousDesign
Power Curves for Sampling Design for Test Based on Nonparametric Simultaneous Prediction IntervalplotPredIntNparSimultaneousTestPowerCurve
Plots for Sampling Design Based on One- or Two-Sample Proportion TestplotPropTestDesign
Plots for a Sampling Design Based on a Tolerance Interval for a Normal DistributionplotTolIntNormDesign
Plots for a Sampling Design Based on a Nonparametric Tolerance IntervalplotTolIntNparDesign
Plots for a Sampling Design Based on a One- or Two-Sample t-TestplotTTestDesign
Plots for a Sampling Design Based on a One- or Two-Sample t-Test, Assuming Lognormal DataplotTTestLnormAltDesign
Pointwise Confidence Limits for Predictionspointwise
Plotting Positions for Type I Censored DatappointsCensored
Model Predictionspredict predict.default
Predict Method for Linear Model Fitspredict.lm
Prediction Interval for Gamma DistributionpredIntGamma predIntGammaAlt
Simultaneous Prediction Interval for a Gamma DistributionpredIntGammaAltSimultaneous predIntGammaSimultaneous
Prediction Interval for a Lognormal DistributionpredIntLnorm predIntLnormAlt
Probability That at Least One Set of Future Observations Violates the Given Rule Based on a Simultaneous Prediction Interval for a Lognormal DistributionpredIntLnormAltSimultaneousTestPower
Probability That at Least One Future Observation Falls Outside a Prediction Interval for a Lognormal DistributionpredIntLnormAltTestPower
Simultaneous Prediction Interval for a Lognormal DistributionpredIntLnormAltSimultaneous predIntLnormSimultaneous
Prediction Interval for a Normal DistributionpredIntNorm
Half-Width of a Prediction Interval for the next k Observations from a Normal DistributionpredIntNormHalfWidth
Compute the Value of K for a Prediction Interval for a Normal DistributionpredIntNormK
Sample Size for a Specified Half-Width of a Prediction Interval for the next k Observations from a Normal DistributionpredIntNormN
Simultaneous Prediction Interval for a Normal DistributionpredIntNormSimultaneous
Compute the Value of K for a Simultaneous Prediction Interval for a Normal DistributionpredIntNormSimultaneousK
Probability That at Least One Set of Future Observations Violates the Given Rule Based on a Simultaneous Prediction Interval for a Normal DistributionpredIntNormSimultaneousTestPower
Probability That at Least One Future Observation Falls Outside a Prediction Interval for a Normal DistributionpredIntNormTestPower
Nonparametric Prediction Interval for a Continuous DistributionNonparametric Prediction Interval predIntNpar
Confidence Level for Nonparametric Prediction Interval for Continuous DistributionpredIntNparConfLevel
Sample Size for a Nonparametric Prediction Interval for a Continuous DistributionpredIntNparN
Nonparametric Simultaneous Prediction Interval for a Continuous DistributionNonparametric Simultaneous Prediction Interval predIntNparSimultaneous
Confidence Level of Simultaneous Nonparametric Prediction Interval for Continuous DistributionpredIntNparSimultaneousConfLevel
Sample Size for Simultaneous Nonparametric Prediction Interval for Continuous DistributionpredIntNparSimultaneousN
Probability That at Least One Set of Future Observations Violates the Given Rule Based on a Nonparametric Simultaneous Prediction IntervalpredIntNparSimultaneousTestPower
Prediction Interval for a Poisson DistributionpredIntPois
Print Output of Objective for Box-Cox Power Transformationsprint.boxcox
Print Output of Objective for Box-Cox Power Transformations Based on Type I Censored Dataprint.boxcoxCensored
Print Output of Objective for Box-Cox Power Transformations for an "lm" Objectprint.boxcoxLm
Print Output of Goodness-of-Fit Testsprint.distChoose
Print Output of Goodness-of-Fit Testsprint.distChooseCensored
Print Objects of Class "estimate"print.estimate
Print Objects of Class "estimateCensored"print.estimateCensored
Print Output of Goodness-of-Fit Testsprint.gof
Print Output of Goodness-of-Fit Tests Based on Censored Dataprint.gofCensored
Print Output of Group Goodness-of-Fit Testsprint.gofGroup
Print Output of Goodness-of-Fit Outlier Testsprint.gofOutlier
Print Output of Two-Sample Goodness-of-Fit Testsprint.gofTwoSample
Print Output of Hypothesis Tests Based on Censored Dataprint.htestCensored
Print Output of Hypothesis Testsprint.htestEnvStats
Print Output of Permutation Testsprint.permutationTest
Print Summary Statisticsprint.summaryStats
Minimal Detectable Difference Associated with a One- or Two-Sample Proportion TestpropTestMdd
Compute Sample Size Necessary to Achieve a Specified Power for a One- or Two-Sample Proportion TestpropTestN
Compute the Power of a One- or Two-Sample Proportion TestpropTestPower
Real dataset from ProUCL 5.2.0.ProUCL.5.2.TRS.df
ProUCL Critical Values for Anderson-Darling Goodness-of-Fit Test for Gamma DistributionProUCL.Crit.Vals.for.AD.Test.for.Gamma.array
ProUCL Critical Values for Kolmogorov-Smirnov Goodness-of-Fit Test for Gamma DistributionProUCL.Crit.Vals.for.KS.Test.for.Gamma.array
Estimate Probability-Weighted MomentspwMoment
Quantile-Quantile (Q-Q) PlotqqPlot
Quantile-Quantile (Q-Q) Plot for Type I Censored DataqqPlotCensored
Develop Gestalt of Q-Q Plots for Specific DistributionsqqPlotGestalt
Two-Sample Rank Test to Detect a Shift in a Proportion of the "Treated" PopulationquantileTest
Compute p-Value for the Quantile TestquantileTestPValue
Carbon Monoxide Emissions from Oil Refinery.Refinery.CO.df
Rosner's Test for OutliersOutlier Test outlier test Rosner rosnerTest
Test for the Presence of Serial Correlationserial correlation serial correlation test serialCorrelationTest serialCorrelationTest.default serialCorrelationTest.lm
One-Sample or Paired-Sample Sign Test on a Mediansign test signTest
Simulate a Multivariate Matrix Based on a Specified Rank Correlation MatsimulateMvMatrix
Simulate a Vector of Random Numbers From a Specified Theoretical or Empirical Probability DistributionsimulateVector
Ammonia Nitrogen Concentrations in the Skagit River, Marblemount, WashingtonSkagit.NH3_N.df
Coefficient of SkewnessSkew skew Skewness skewness
Add Text Indicating the Mean and Standard Deviation to a ggplot2 Plotstat_mean_sd_text
Add Text Indicating the Median and Interquartile Range to a ggplot2 Plotstat_median_iqr_text
Add Text Indicating the Sample Size to a ggplot2 Plotstat_n_text
Add Text to a ggplot2 Plot Indicating the Results of a Hypothesis Teststat_test_text
1-D Scatter Plots with Confidence IntervalsstripChart stripChart.default stripChart.formula
Full Complement of Summary StatisticssummaryFull summaryFull.data.frame summaryFull.default summaryFull.factor summaryFull.formula summaryFull.list summaryFull.matrix
Summary StatisticssummaryStats summaryStats.character summaryStats.data.frame summaryStats.default summaryStats.factor summaryStats.formula summaryStats.list summaryStats.logical summaryStats.matrix
S3 Class "summaryStats"summaryStats.object
Tolerance Interval for a Gamma DistributiontolIntGamma tolIntGammaAlt
Tolerance Interval for a Lognormal DistributiontolIntLnorm tolIntLnormAlt
Tolerance Interval for a Lognormal Distribution Based on Censored DatatolIntLnormCensored
Tolerance Interval for a Normal DistributiontolIntNorm
Tolerance Interval for a Normal Distribution Based on Censored DatatolIntNormCensored
Half-Width of a Tolerance Interval for a Normal DistributiontolIntNormHalfWidth
Compute the Value of K for a Tolerance Interval for a Normal DistributiontolIntNormK
Sample Size for a Specified Half-Width of a Tolerance Interval for a Normal DistributiontolIntNormN
Nonparametric Tolerance Interval for a Continuous DistributiontolIntNpar
Confidence Level for Nonparametric Tolerance Interval for Continuous DistributiontolIntNparConfLevel
Coverage for Nonparametric Tolerance Interval for Continuous DistributiontolIntNparCoverage
Sample Size for Nonparametric Tolerance Interval for Continuous DistributiontolIntNparN
Tolerance Interval for a Poisson DistributiontolIntPois
Total Phosphorus Data from Chesapeake BayTotal.P.df
The Triangular Distributiondtri ptri qtri rtri Triangular
Type I Error Level for a One- or Two-Sample t-TesttTestAlpha
Sample Size for a One- or Two-Sample t-Test, Assuming Lognormal DatatTestLnormAltN
Power of a One- or Two-Sample t-Test Assuming Lognormal DatatTestLnormAltPower
Minimal or Maximal Detectable Ratio of Means for One- or Two-Sample t-Test, Assuming Lognormal DatatTestLnormAltRatioOfMeans
Sample Size for a One- or Two-Sample t-TesttTestN
Power of a One- or Two-Sample t-TestPower t-test power t-test T-test power t-test Power t-test power tTestPower
Scaled Minimal Detectable Difference for One- or Two-Sample t-TesttTestScaledMdd
Two-Sample Linear Rank Test to Detect a Difference Between Two DistributionstwoSampleLinearRankTest
Two-Sample Linear Rank Test to Detect a Difference Between Two Distributions Based on Censored DatatwoSampleLinearRankTestCensored
Two-Sample or Paired-Sample Randomization (Permutation) Test for LocationtwoSamplePermutationTestLocation
Randomization (Permutation) Test to Compare Two Proportions (Fisher's Exact Test)twoSamplePermutationTestProportion
Test for Homogeneity of Variance Among Two or More GroupsvarGroupTest varGroupTest.data.frame varGroupTest.default varGroupTest.formula varGroupTest.list varGroupTest.matrix
One-Sample Chi-Squared Test on VariancevarTest
The Zero-Modified Lognormal (Delta) DistributionDelta Distribution DeltaDist dzmlnorm pzmlnorm qzmlnorm rzmlnorm Zero Modified Lognormal Zero Modified Lognormal (Delta) Zero-Modified Lognormal Zero-Modified Lognormal (Delta) ZeroModifiedLognormal
The Zero-Modified Lognormal (Delta) Distribution (Alternative Parameterization)Delta Distribution (Alternative Parameterization) DeltaDistAlt dzmlnormAlt pzmlnormAlt qzmlnormAlt rzmlnormAlt Zero Modified Lognormal (Alternative Parameterization) Zero-Modified Lognormal (Alternative Parameterization) ZeroModifiedLognormalAlt
The Zero-Modified Normal Distributiondzmnorm pzmnorm qzmnorm rzmnorm Zero Modified Normal Zero-Modified Normal ZeroModifiedNormal
Test Whether the Shape Parameter of a Generalized Extreme Value Distribution is Equal to 0zTestGevdShape