A B C D E F G H I J K L M N O P Q R S T U V W Y Z misc
| compositions-package | Compositional Data Analysis | 
| Aar | Composition of glaciar sediments from the Aar massif (Switzerland) | 
| acomp | Aitchison compositions | 
| acomp-class | Class '"acomp"' | 
| acompGOF.test | Compositional Goodness of fit test | 
| acompGOF.test.formula | Compositional Goodness of fit test | 
| acompGOF.test.list | Compositional Goodness of fit test | 
| acompmargin | Marginal compositions in Aitchison Compositions | 
| acompNormalGOF.test | Compositional Goodness of fit test | 
| acompNormalLocation.test | Compositional Goodness of fit test | 
| acompTwoSampleGOF.test | Compositional Goodness of fit test | 
| Activity10 | Activity patterns of a statistician for 20 days | 
| Activity31 | Activity patterns of a statistician for 20 days | 
| AitchisonDistributionIntegrals | Aitchison Distribution | 
| alr | Additive log ratio transform | 
| alrInv | Additive log ratio transform | 
| amounts-class | Class '"amounts"' | 
| AnimalVegetation | Animal and vegetation measurement | 
| anova | Standard R functions wrapped for compatibility | 
| aplus | Amounts analysed in log-scale | 
| aplus-class | Class '"aplus"' | 
| apt | Additive planar transform | 
| aptInv | Additive planar transform | 
| ArcticLake | Artic lake sediment samples of different water depth | 
| arrows3D | arrows in 3D, based on package rgl | 
| arrows3D.default | arrows in 3D, based on package rgl | 
| as.data.frame.acomp | Convert "compositions" classes to data frames or matrices | 
| as.data.frame.aplus | Convert "compositions" classes to data frames or matrices | 
| as.data.frame.ccomp | Convert "compositions" classes to data frames or matrices | 
| as.data.frame.rcomp | Convert "compositions" classes to data frames or matrices | 
| as.data.frame.rmult | Convert "compositions" classes to data frames or matrices | 
| as.data.frame.rplus | Convert "compositions" classes to data frames or matrices | 
| as.matrix.rmult | Convert "compositions" classes to data frames or matrices | 
| as.missingSummary | Plot a Missing Summary | 
| axis3D | Drawing a 3D coordiante system to a plot, based on package rgl | 
| backtransform | Automatic common backtransformation for compositions | 
| backtransform.rmult | Automatic common backtransformation for compositions | 
| balance | Compute balances for a compositional dataset. | 
| balance.acomp | Compute balances for a compositional dataset. | 
| balance.aplus | Compute balances for a compositional dataset. | 
| balance.rcomp | Compute balances for a compositional dataset. | 
| balance.rplus | Compute balances for a compositional dataset. | 
| balance01 | Compute balances for a compositional dataset. | 
| balance01.acomp | Compute balances for a compositional dataset. | 
| balance01.rcomp | Compute balances for a compositional dataset. | 
| balanceBase | Compute balances for a compositional dataset. | 
| balanceBase.acomp | Compute balances for a compositional dataset. | 
| balanceBase.aplus | Compute balances for a compositional dataset. | 
| balanceBase.rcomp | Compute balances for a compositional dataset. | 
| balanceBase.rplus | Compute balances for a compositional dataset. | 
| barplot.acomp | Bar charts of amounts | 
| barplot.aplus | Bar charts of amounts | 
| barplot.ccomp | Bar charts of amounts | 
| barplot.rcomp | Bar charts of amounts | 
| barplot.rplus | Bar charts of amounts | 
| Bayesite | Permeabilities of bayesite | 
| BDL | The policy of treatment of missing values in the "compositions" package | 
| BDLvalue | The policy of treatment of missing values in the "compositions" package | 
| binary | Treating binary and g-adic numbers | 
| binary2logical | Treating binary and g-adic numbers | 
| biplot3D | Three-dimensional biplots, based on package rgl | 
| biplot3D.default | Three-dimensional biplots, based on package rgl | 
| biplot3D.princomp | Three-dimensional biplots, based on package rgl | 
| bit | Treating binary and g-adic numbers | 
| bit.character | Treating binary and g-adic numbers | 
| bit.numeric | Treating binary and g-adic numbers | 
| bit<- | Treating binary and g-adic numbers | 
| bit<-.character | Treating binary and g-adic numbers | 
| bit<-.numeric | Treating binary and g-adic numbers | 
| bitCount | Treating binary and g-adic numbers | 
| Blood23 | Blood samples | 
| Boxite | Compositions and depth of 25 specimens of boxite | 
| boxplot.acomp | Displaying compositions and amounts with box-plots | 
| boxplot.aplus | Displaying compositions and amounts with box-plots | 
| boxplot.rcomp | Displaying compositions and amounts with box-plots | 
| boxplot.rplus | Displaying compositions and amounts with box-plots | 
| ccomp | Count compositions | 
| ccomp-class | Class '"ccomp"' | 
| ccompMultinomialGOF.test | Compositional Goodness of fit test | 
| ccompPoissonGOF.test | Compositional Goodness of fit test | 
| cdt | Centered default transform | 
| cdt.acomp | Centered default transform | 
| cdt.aplus | Centered default transform | 
| cdt.ccomp | Centered default transform | 
| cdt.data.frame | Centered default transform | 
| cdt.default | Centered default transform | 
| cdt.factor | Centered default transform | 
| cdt.rcomp | Centered default transform | 
| cdt.rmult | Centered default transform | 
| cdt.rplus | Centered default transform | 
| cdtInv | Centered default transform | 
| cdtInv.acomp | Centered default transform | 
| cdtInv.aplus | Centered default transform | 
| cdtInv.ccomp | Centered default transform | 
| cdtInv.data.frame | Centered default transform | 
| cdtInv.default | Centered default transform | 
| cdtInv.factor | Centered default transform | 
| cdtInv.rcomp | Centered default transform | 
| cdtInv.rmult | Centered default transform | 
| cdtInv.rplus | Centered default transform | 
| cgram2vgram | vgram2lrvgram | 
| ClamEast | Color-size compositions of 20 clam colonies from East Bay | 
| ClamWest | Color-size compositions of 20 clam colonies from West Bay | 
| clo | Closure of a composition | 
| clr | Centered log ratio transform | 
| clr2ilr | Convert between clr and ilr, and between cpt and ipt. | 
| clrInv | Centered log ratio transform | 
| clrvar2ilr | Convert between clr and ilr, and between cpt and ipt. | 
| clrvar2variation | Convert between clr and ilr, and between cpt and ipt. | 
| ClusterFinder1 | Heuristics to find subpopulations of outliers | 
| ClusterFinder1.acomp | Heuristics to find subpopulations of outliers | 
| CoDaDendrogram | Dendrogram representation of acomp or rcomp objects | 
| coerce-method | Class '"acomp"' | 
| coerce-method | Class '"aplus"' | 
| coerce-method | Class '"ccomp"' | 
| coerce-method | Class '"rcomp"' | 
| coerce-method | Class '"rmult"' | 
| coerce-method | Class '"rplus"' | 
| coerce<--method | Class '"acomp"' | 
| coerce<--method | Class '"aplus"' | 
| coerce<--method | Class '"ccomp"' | 
| coerce<--method | Class '"rcomp"' | 
| coerce<--method | Class '"rmult"' | 
| coerce<--method | Class '"rplus"' | 
| coloredBiplot | A biplot providing somewhat easier access to details of the plot. | 
| coloredBiplot.default | A biplot providing somewhat easier access to details of the plot. | 
| coloredBiplot.prcomp | A biplot providing somewhat easier access to details of the plot. | 
| coloredBiplot.princomp | A biplot providing somewhat easier access to details of the plot. | 
| colorsForOutliers1 | Create a color/char palette or for groups of outliers | 
| colorsForOutliers2 | Create a color/char palette or for groups of outliers | 
| CompLinModCoReg | Compositional Linear Model of Coregionalisation | 
| compOKriging | Compositional Ordinary Kriging | 
| composition.missing | The policy of treatment of missing values in the "compositions" package | 
| composition.missings | The policy of treatment of missing values in the "compositions" package | 
| compositional-class | Class '"compositional"' | 
| compositions | Compositional Data Analysis | 
| compositions.missing | The policy of treatment of missing values in the "compositions" package | 
| compositions.missings | The policy of treatment of missing values in the "compositions" package | 
| ConfRadius | Helper to compute confidence ellipsoids | 
| convex.rcomp | Arithmetic operations for compositions in a real geometry | 
| cor | Correlations of amounts and compositions | 
| cor.acomp | Correlations of amounts and compositions | 
| cor.aplus | Correlations of amounts and compositions | 
| cor.default | Correlations of amounts and compositions | 
| cor.rcomp | Correlations of amounts and compositions | 
| cor.rmult | Correlations of amounts and compositions | 
| cor.rplus | Correlations of amounts and compositions | 
| cov | Variances and covariances of amounts and compositions | 
| cov.acomp | Variances and covariances of amounts and compositions | 
| cov.aplus | Variances and covariances of amounts and compositions | 
| cov.default | Variances and covariances of amounts and compositions | 
| cov.rcomp | Variances and covariances of amounts and compositions | 
| cov.rmult | Variances and covariances of amounts and compositions | 
| cov.rplus | Variances and covariances of amounts and compositions | 
| Coxite | Compositions, depths and porosities of 25 specimens of coxite | 
| cpt | Centered planar transform | 
| cptInv | Centered planar transform | 
| dAitchison | Aitchison Distribution | 
| Data01 | Compositions of 25 specimens of hongite | 
| Data02 | Compositions of 25 specimens of kongite | 
| Data03 | Compositions and depth of 25 specimens of boxite | 
| Data04 | Compositions, depths and porosities of 25 specimens of coxite | 
| Data05 | Artic lake sediment samples of different water depth | 
| Data06 | AFM compositions of 23 aphyric Skye lavas | 
| Data07 | Proportions of supervisor's statements assigned to different categories | 
| DATA08 | Household Expenditures | 
| Data09 | Steroid metabolite patterns in adults and children | 
| DATA10 | Activity patterns of a statistician for 20 days | 
| Data11 | White-cell composition of 30 blood samples by two different methods | 
| Data12 | Yatquat fruit evaluation | 
| Data13 | Firework mixtures | 
| Data14 | Color-size compositions of 20 clam colonies from East Bay | 
| Data15 | Color-size compositions of 20 clam colonies from West Bay | 
| Data16 | Serum Protein compositions of blood samples | 
| Data17 | Diagnostic probabilities | 
| DATA18 | Compositions and total pebble counts of 92 glacial tills | 
| Data19 | Honk Kong Pogo-Jumps Championship | 
| Data20 | Proportions of sand, silt and clay in sediments specimens | 
| Data21 | Permeabilities of bayesite | 
| Data22 | Shifts of machine operators | 
| Data23 | Blood samples | 
| Data24 | Measurement of skulls | 
| Data25 | Animal and vegetation measurement | 
| DATA31 | Activity patterns of a statistician for 20 days | 
| dDirichlet | Dirichlet distribution | 
| DiagnosticProb | Diagnostic probabilities | 
| dist | Distances in variouse approaches | 
| dist.default | Distances in variouse approaches | 
| dlnorm.rplus | The multivariate lognormal distribution | 
| dnorm.acomp | Normal distributions on special spaces | 
| dnorm.aplus | Normal distributions on special spaces | 
| dnorm.rmult | Normal distributions on special spaces | 
| ellipses | Draw ellipses | 
| ellipses.acomp | Draw ellipses | 
| ellipses.aplus | Draw ellipses | 
| ellipses.rcomp | Draw ellipses | 
| ellipses.rmult | Draw ellipses | 
| ellipses.rplus | Draw ellipses | 
| endmemberCoordinates | Recast amounts as mixtures of end-members | 
| endmemberCoordinates.acomp | Recast amounts as mixtures of end-members | 
| endmemberCoordinates.aplus | Recast amounts as mixtures of end-members | 
| endmemberCoordinates.default | Recast amounts as mixtures of end-members | 
| endmemberCoordinates.rplus | Recast amounts as mixtures of end-members | 
| endmemberCoordinatesInv | Recast amounts as mixtures of end-members | 
| endmemberCoordinatesInv.acomp | Recast amounts as mixtures of end-members | 
| endmemberCoordinatesInv.aplus | Recast amounts as mixtures of end-members | 
| endmemberCoordinatesInv.rcomp | Recast amounts as mixtures of end-members | 
| endmemberCoordinatesInv.rmult | Recast amounts as mixtures of end-members | 
| endmemberCoordinatesInv.rplus | Recast amounts as mixtures of end-members | 
| Firework | Firework mixtures | 
| fit.lmc | Compositional variogram model fitting | 
| fit.lmc.logratioVariogram | Compositional variogram model fitting | 
| fitDirichlet | Fitting a Dirichlet distribution | 
| fitSameMeanDifferentVarianceModel | Fit Same Mean Different Variance Model | 
| gadic | Treating binary and g-adic numbers | 
| Gauss.test | Classical Gauss Test | 
| geometricmean | The geometric mean | 
| geometricmeanCol | The geometric mean | 
| geometricmeanRow | The geometric mean | 
| getDetectionlimit | Gets the detection limit stored in the data set | 
| getStickyClassOption | Subsetting of compositions | 
| Glacial | Compositions and total pebble counts of 92 glacial tills | 
| groupparts | Group amounts of parts | 
| groupparts.acomp | Group amounts of parts | 
| groupparts.aplus | Group amounts of parts | 
| groupparts.ccomp | Group amounts of parts | 
| groupparts.rcomp | Group amounts of parts | 
| groupparts.rplus | Group amounts of parts | 
| gsi.acompUniformityGOF.test | Compositional Goodness of fit test | 
| gsi.geometricmean | The geometric mean | 
| gsi.geometricmean.Col | The geometric mean | 
| gsi.geometricmean.Row | The geometric mean | 
| gsi.geometricmeanCol | The geometric mean | 
| gsi.geometricmeanRow | The geometric mean | 
| gsi.getV | Automatic common backtransformation for compositions | 
| gsi.orig | Automatic common backtransformation for compositions | 
| gsi.orSum | Treating binary and g-adic numbers | 
| gsi.pStore | Compute distributions of empirical Mahalanobis distances based on simulations | 
| has.missings | The policy of treatment of missing values in the "compositions" package | 
| has.missings.default | The policy of treatment of missing values in the "compositions" package | 
| has.missings.rmult | The policy of treatment of missing values in the "compositions" package | 
| HEMF | Household Expenditures | 
| Hongite | Compositions of 25 specimens of hongite | 
| HouseholdExp | Household Expenditures | 
| Hydrochem | Hydrochemical composition data set of Llobregat river basin water (NE Spain) | 
| idt | Isometric default transform | 
| idt.acomp | Isometric default transform | 
| idt.aplus | Isometric default transform | 
| idt.ccomp | Isometric default transform | 
| idt.data.frame | Isometric default transform | 
| idt.default | Isometric default transform | 
| idt.factor | Isometric default transform | 
| idt.rcomp | Isometric default transform | 
| idt.rmult | Isometric default transform | 
| idt.rplus | Isometric default transform | 
| idtInv | Isometric default transform | 
| idtInv.acomp | Isometric default transform | 
| idtInv.aplus | Isometric default transform | 
| idtInv.ccomp | Isometric default transform | 
| idtInv.data.frame | Isometric default transform | 
| idtInv.default | Isometric default transform | 
| idtInv.factor | Isometric default transform | 
| idtInv.rcomp | Isometric default transform | 
| idtInv.rmult | Isometric default transform | 
| idtInv.rplus | Isometric default transform | 
| iit | Isometric identity transform | 
| iitInv | Isometric identity transform | 
| ilr | Isometric log ratio transform | 
| ilr2clr | Convert between clr and ilr, and between cpt and ipt. | 
| ilrBase | The canonical basis in the clr plane used for ilr and ipt transforms. | 
| ilrBaseList | The canonical basis in the clr plane used for ilr and ipt transforms. | 
| ilrInv | Isometric log ratio transform | 
| ilrvar2clr | Convert between clr and ilr, and between cpt and ipt. | 
| ilt | Isometric log transform | 
| iltInv | Isometric log transform | 
| ipt | Isometric planar transform | 
| iptInv | Isometric planar transform | 
| is.acomp | Check for compositional data type | 
| is.aplus | Check for compositional data type | 
| is.BDL | The policy of treatment of missing values in the "compositions" package | 
| is.ccomp | Check for compositional data type | 
| is.clrvar | Convert between clr and ilr, and between cpt and ipt. | 
| is.ilrvar | Convert between clr and ilr, and between cpt and ipt. | 
| is.MAR | The policy of treatment of missing values in the "compositions" package | 
| is.MNAR | The policy of treatment of missing values in the "compositions" package | 
| is.MNV | The policy of treatment of missing values in the "compositions" package | 
| is.NMV | The policy of treatment of missing values in the "compositions" package | 
| is.rcomp | Check for compositional data type | 
| is.rmult | Check for compositional data type | 
| is.rplus | Check for compositional data type | 
| is.SZ | The policy of treatment of missing values in the "compositions" package | 
| is.variation | Variation matrices of amounts and compositions | 
| is.WMNAR | The policy of treatment of missing values in the "compositions" package | 
| is.WZERO | The policy of treatment of missing values in the "compositions" package | 
| IsMahalanobisOutlier | Checking for outliers | 
| isoPortionLines | Isoportion- and Isoproportion-lines | 
| isoPortionLines.acomp | Isoportion- and Isoproportion-lines | 
| isoPortionLines.rcomp | Isoportion- and Isoproportion-lines | 
| isoProportionLines | Isoportion- and Isoproportion-lines | 
| isoProportionLines.acomp | Isoportion- and Isoproportion-lines | 
| isoProportionLines.rcomp | Isoportion- and Isoproportion-lines | 
| jura259 | The jura dataset | 
| juraset | The jura dataset | 
| Kappa | Uncentered log transform | 
| kdeDirichlet | Density estimation on the simplex with Dirichlet kernel | 
| kingTetrahedron | Ploting composition into rotable tetrahedron | 
| Kongite | Compositions of 25 specimens of kongite | 
| lines.acomp | Draws connected lines from point to point. | 
| lines.aplus | Draws connected lines from point to point. | 
| lines.rcomp | Draws connected lines from point to point. | 
| lines.rmult | Draws connected lines from point to point. | 
| lines.rplus | Draws connected lines from point to point. | 
| logratioVariogram | Empirical variograms for compositions | 
| logratioVariogram.acomp | Empirical variograms for compositions | 
| MahalanobisDist | Compute Mahalanobis distances based von robust Estimations | 
| MahalanobisDist.acomp | Compute Mahalanobis distances based von robust Estimations | 
| MahalanobisDist.aplus | Compute Mahalanobis distances based von robust Estimations | 
| MahalanobisDist.rcomp | Compute Mahalanobis distances based von robust Estimations | 
| MahalanobisDist.rmult | Compute Mahalanobis distances based von robust Estimations | 
| MahalanobisDist.rplus | Compute Mahalanobis distances based von robust Estimations | 
| MAR | The policy of treatment of missing values in the "compositions" package | 
| MARvalue | The policy of treatment of missing values in the "compositions" package | 
| maxBit | Treating binary and g-adic numbers | 
| maxBit.character | Treating binary and g-adic numbers | 
| maxBit.numeric | Treating binary and g-adic numbers | 
| mcor | Metric summary statistics of real, amount or compositional data | 
| mcor.default | Metric summary statistics of real, amount or compositional data | 
| mcov | Metric summary statistics of real, amount or compositional data | 
| mcov.default | Metric summary statistics of real, amount or compositional data | 
| mean.acomp | Mean amounts and mean compositions | 
| mean.aplus | Mean amounts and mean compositions | 
| mean.ccomp | Mean amounts and mean compositions | 
| mean.col | The arithmetic mean of rows or columns | 
| mean.rcomp | Mean amounts and mean compositions | 
| mean.rmult | Mean amounts and mean compositions | 
| mean.row | The arithmetic mean of rows or columns | 
| mean.rplus | Mean amounts and mean compositions | 
| meanCol | The arithmetic mean of rows or columns | 
| meanRow | The arithmetic mean of rows or columns | 
| Metabolites | Steroid metabolite patterns in adults and children | 
| missingProjector | Returns a projector the the observed space in case of missings. | 
| missingProjector.acomp | Returns a projector the the observed space in case of missings. | 
| missingProjector.aplus | Returns a projector the the observed space in case of missings. | 
| missingProjector.rcomp | Returns a projector the the observed space in case of missings. | 
| missingProjector.rmult | Returns a projector the the observed space in case of missings. | 
| missingProjector.rplus | Returns a projector the the observed space in case of missings. | 
| missings | The policy of treatment of missing values in the "compositions" package | 
| missingsInCompositions | The policy of treatment of missing values in the "compositions" package | 
| missingSummary | Classify and summarize missing values in a dataset | 
| missingType | Classify and summarize missing values in a dataset | 
| mix.2acomp | Transformations from 'mixtures' to 'compositions' classes | 
| mix.2aplus | Transformations from 'mixtures' to 'compositions' classes | 
| mix.2rcomp | Transformations from 'mixtures' to 'compositions' classes | 
| mix.2rmult | Transformations from 'mixtures' to 'compositions' classes | 
| mix.2rplus | Transformations from 'mixtures' to 'compositions' classes | 
| mix.Read | Reads a data file in a mixR format | 
| MNAR | The policy of treatment of missing values in the "compositions" package | 
| MNARvalue | The policy of treatment of missing values in the "compositions" package | 
| msd | Metric summary statistics of real, amount or compositional data | 
| msd.default | Metric summary statistics of real, amount or compositional data | 
| mul.rplus | vectorial arithmetic for data sets with rplus class | 
| mvar | Metric summary statistics of real, amount or compositional data | 
| mvar.default | Metric summary statistics of real, amount or compositional data | 
| names.acomp | The names of the parts | 
| names.aplus | The names of the parts | 
| names.ccomp | The names of the parts | 
| names.rcomp | The names of the parts | 
| names.rmult | The names of the parts | 
| names.rplus | The names of the parts | 
| names<-.acomp | The names of the parts | 
| names<-.aplus | The names of the parts | 
| names<-.ccomp | The names of the parts | 
| names<-.rcomp | The names of the parts | 
| names<-.rmult | The names of the parts | 
| names<-.rplus | The names of the parts | 
| NMV | The policy of treatment of missing values in the "compositions" package | 
| noreplot | Modify parameters of compositional plots. | 
| norm | Vector space norm | 
| norm.acomp | Vector space norm | 
| norm.aplus | Vector space norm | 
| norm.default | Vector space norm | 
| norm.matrix | Vector space norm | 
| norm.rcomp | Vector space norm | 
| norm.rmult | Vector space norm | 
| norm.rplus | Vector space norm | 
| normalize | Normalize vectors to norm 1 | 
| normalize.default | Normalize vectors to norm 1 | 
| observeWithAdditiveError | Artifical simulation of various kinds of missings/polluted data | 
| observeWithDetectionLimit | Artifical simulation of various kinds of missings/polluted data | 
| observeWithDetectionlimit | Artifical simulation of various kinds of missings/polluted data | 
| oneOrDataset | Treating single compositions as one-row datasets | 
| OutlierClassifier1 | Detect and classify compositional outliers. | 
| OutlierClassifier1.acomp | Detect and classify compositional outliers. | 
| outlierplot | Plot various graphics to analyse outliers. | 
| outlierplot.acomp | Plot various graphics to analyse outliers. | 
| outliersInCompositions | Analysing outliers in compositions. | 
| pairs.acomp | Pairs plot method for compositions | 
| pairs.rcomp | Pairs plot method for compositions | 
| pairwisePlot | Creates a paneled plot like pairs for two different datasets. | 
| pairwisePlot.default | Creates a paneled plot like pairs for two different datasets. | 
| parameterPosdefClrMat | Unique parametrisations for matrices. | 
| parameterPosdefMat | Unique parametrisations for matrices. | 
| parameterRank1ClrMat | Unique parametrisations for matrices. | 
| parameterRank1Mat | Unique parametrisations for matrices. | 
| parametricPosdefClrMat | Unique parametrisations for matrices. | 
| parametricPosdefMat | Unique parametrisations for matrices. | 
| parametricRank1ClrMat | Unique parametrisations for matrices. | 
| parametricRank1Mat | Unique parametrisations for matrices. | 
| pchForOutliers1 | Create a color/char palette or for groups of outliers | 
| pEmpiricalMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| perturbe | Perturbation of compositions | 
| perturbe.aplus | vectorial arithmetic for data sets with aplus class | 
| pHotellingsTsq | Hotellings T square distribution | 
| plot.acomp | Ternary diagrams | 
| plot.aplus | Displaying amounts in scatterplots | 
| plot.ccomp | Ternary diagrams | 
| plot.logratioVariogram | Empirical variograms for compositions | 
| plot.missingSummary | Plot a Missing Summary | 
| plot.princomp.acomp | Principal component analysis for Aitchison compositions | 
| plot.princomp.aplus | Principal component analysis for amounts in log geometry | 
| plot.princomp.rcomp | Principal component analysis for real compositions | 
| plot.princomp.rplus | Principal component analysis for real amounts | 
| plot.rcomp | Ternary diagrams | 
| plot.relativeLoadings.princomp.acomp | Loadings of relations of two amounts | 
| plot.relativeLoadings.princomp.aplus | Loadings of relations of two amounts | 
| plot.relativeLoadings.princomp.rcomp | Loadings of relations of two amounts | 
| plot.relativeLoadings.princomp.rplus | Loadings of relations of two amounts | 
| plot.rmult | Displaying amounts in scatterplots | 
| plot.rplus | Displaying amounts in scatterplots | 
| plot3D | plot in 3D based on rgl | 
| plot3D.acomp | 3D-plot of compositional data | 
| plot3D.aplus | 3D-plot of positive data | 
| plot3D.default | plot in 3D based on rgl | 
| plot3D.rcomp | 3D-plot of compositional data | 
| plot3D.rmult | plot in 3D based on rgl | 
| plot3D.rplus | plot in 3D based on rgl | 
| pMaxMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| PogoJump | Honk Kong Pogo-Jumps Championship | 
| PoissonGOF.test | Compositional Goodness of fit test | 
| power.acomp | Power transform in the simplex | 
| power.aplus | vectorial arithmetic for data sets with aplus class | 
| powerofpsdmatrix | power transform of a matrix | 
| pPortionMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| pQuantileMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| predict.princomp.acomp | Principal component analysis for Aitchison compositions | 
| predict.princomp.aplus | Principal component analysis for amounts in log geometry | 
| predict.princomp.rcomp | Principal component analysis for real compositions | 
| predict.princomp.rplus | Principal component analysis for real amounts | 
| princomp.acomp | Principal component analysis for Aitchison compositions | 
| princomp.aplus | Principal component analysis for amounts in log geometry | 
| princomp.rcomp | Principal component analysis for real compositions | 
| princomp.rmult | Principal component analysis for real data | 
| princomp.rplus | Principal component analysis for real amounts | 
| print.acomp | Printing compositional data. | 
| print.aplus | Printing compositional data. | 
| print.princomp.acomp | Principal component analysis for Aitchison compositions | 
| print.princomp.aplus | Principal component analysis for amounts in log geometry | 
| print.princomp.rcomp | Principal component analysis for real compositions | 
| print.princomp.rplus | Principal component analysis for real amounts | 
| print.rcomp | Printing compositional data. | 
| print.relativeLoadings.princomp.acomp | Loadings of relations of two amounts | 
| print.relativeLoadings.princomp.aplus | Loadings of relations of two amounts | 
| print.relativeLoadings.princomp.rcomp | Loadings of relations of two amounts | 
| print.relativeLoadings.princomp.rplus | Loadings of relations of two amounts | 
| print.rmult | Simple treatment of real vectors | 
| print.rplus | Printing compositional data. | 
| pwlr | Pairwise log ratio transform | 
| pwlrInv | Pairwise log ratio transform | 
| pwlrPlot | Plots of pairwise logratio against a covariable. | 
| pwlrplot | Plots of pairwise logratio against a covariable. | 
| qEmpiricalMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| qHotellingsTsq | Hotellings T square distribution | 
| qMaxMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| qPortionMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| qqnorm.acomp | Normal quantile plots for compositions and amounts | 
| qqnorm.aplus | Normal quantile plots for compositions and amounts | 
| qqnorm.rcomp | Normal quantile plots for compositions and amounts | 
| qqnorm.rplus | Normal quantile plots for compositions and amounts | 
| R2 | R square | 
| R2.default | R square | 
| R2.lm | R square | 
| rAitchison | Aitchison Distribution | 
| rcomp | Compositions as elements of the simplex embedded in the D-dimensional real space | 
| rcomp-class | Class '"rcomp"' | 
| rcompmargin | Marginal compositions in real geometry | 
| rDirichlet | Dirichlet distribution | 
| rDirichlet.acomp | Dirichlet distribution | 
| rDirichlet.rcomp | Dirichlet distribution | 
| read.geoEAS | Reads a data file in a geoeas format | 
| read.geoeas | Reads a data file in a geoeas format | 
| relativeLoadings | Loadings of relations of two amounts | 
| relativeLoadings.princomp.acomp | Loadings of relations of two amounts | 
| relativeLoadings.princomp.aplus | Loadings of relations of two amounts | 
| relativeLoadings.princomp.rcomp | Loadings of relations of two amounts | 
| relativeLoadings.princomp.rplus | Loadings of relations of two amounts | 
| rEmpiricalMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| replot | Modify parameters of compositional plots. | 
| replotable | Modify parameters of compositional plots. | 
| rlnorm.rplus | The multivariate lognormal distribution | 
| rMaxMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| rmult | Simple treatment of real vectors | 
| rmult-class | Class '"rmult"' | 
| rmultinom.ccomp | Simulate count compositions without overdispersion | 
| rnorm.acomp | Normal distributions on special spaces | 
| rnorm.aplus | Normal distributions on special spaces | 
| rnorm.ccomp | Normal distributions on special spaces | 
| rnorm.rcomp | Normal distributions on special spaces | 
| rnorm.rmult | Normal distributions on special spaces | 
| rnorm.rplus | Normal distributions on special spaces | 
| robust | Handling robustness issues and outliers in compositions. | 
| robustnessInCompositions | Handling robustness issues and outliers in compositions. | 
| rplus | Amounts i.e. positive numbers analysed as objects of the real vector space | 
| rplus-class | Class '"rplus"' | 
| rpois.ccomp | Simulate count compositions without overdispersion | 
| rPortionMahalanobis | Compute distributions of empirical Mahalanobis distances based on simulations | 
| Rsquare | R square | 
| runif.acomp | The uniform distribution on the simplex | 
| runif.rcomp | The uniform distribution on the simplex | 
| sa.dirichlet | Simulated amount datasets | 
| sa.dirichlet.dil | Simulated amount datasets | 
| sa.dirichlet.mix | Simulated amount datasets | 
| sa.dirichlet5 | Simulated amount datasets | 
| sa.dirichlet5.dil | Simulated amount datasets | 
| sa.dirichlet5.mix | Simulated amount datasets | 
| sa.groups | Simulated amount datasets | 
| sa.groups.area | Simulated amount datasets | 
| sa.groups.dil | Simulated amount datasets | 
| sa.groups.mix | Simulated amount datasets | 
| sa.groups5 | Simulated amount datasets | 
| sa.groups5.area | Simulated amount datasets | 
| sa.groups5.dil | Simulated amount datasets | 
| sa.groups5.mix | Simulated amount datasets | 
| sa.lognormals | Simulated amount datasets | 
| sa.lognormals.dil | Simulated amount datasets | 
| sa.lognormals.mix | Simulated amount datasets | 
| sa.lognormals5 | Simulated amount datasets | 
| sa.lognormals5.dil | Simulated amount datasets | 
| sa.lognormals5.mix | Simulated amount datasets | 
| sa.missings | Simulated amount datasets | 
| sa.missings5 | Simulated amount datasets | 
| sa.outliers1 | Simulated amount datasets | 
| sa.outliers2 | Simulated amount datasets | 
| sa.outliers3 | Simulated amount datasets | 
| sa.outliers4 | Simulated amount datasets | 
| sa.outliers5 | Simulated amount datasets | 
| sa.outliers6 | Simulated amount datasets | 
| sa.tnormals | Simulated amount datasets | 
| sa.tnormals.dil | Simulated amount datasets | 
| sa.tnormals.mix | Simulated amount datasets | 
| sa.tnormals5 | Simulated amount datasets | 
| sa.tnormals5.dil | Simulated amount datasets | 
| sa.tnormals5.mix | Simulated amount datasets | 
| sa.uniform | Simulated amount datasets | 
| sa.uniform.dil | Simulated amount datasets | 
| sa.uniform.mix | Simulated amount datasets | 
| sa.uniform5 | Simulated amount datasets | 
| sa.uniform5.dil | Simulated amount datasets | 
| sa.uniform5.mix | Simulated amount datasets | 
| scalar | Parallel scalar products | 
| scalar.default | Parallel scalar products | 
| scale | Normalizing datasets by centering and scaling | 
| scale.acomp | Normalizing datasets by centering and scaling | 
| scale.aplus | Normalizing datasets by centering and scaling | 
| scale.default | Normalizing datasets by centering and scaling | 
| scale.rcomp | Normalizing datasets by centering and scaling | 
| scale.rmult | Normalizing datasets by centering and scaling | 
| scale.rplus | Normalizing datasets by centering and scaling | 
| Sediments | Proportions of sand, silt and clay in sediments specimens | 
| segments | Draws straight lines from point to point. | 
| segments.acomp | Draws straight lines from point to point. | 
| segments.aplus | Draws straight lines from point to point. | 
| segments.default | Draws straight lines from point to point. | 
| segments.rcomp | Draws straight lines from point to point. | 
| segments.rmult | Draws straight lines from point to point. | 
| segments.rplus | Draws straight lines from point to point. | 
| SerumProtein | Serum Protein compositions of blood samples | 
| setStickyClassOption | Subsetting of compositions | 
| ShiftOperators | Shifts of machine operators | 
| simpleMissingSubplot | Ternary diagrams | 
| SimulatedAmounts | Simulated amount datasets | 
| simulateMissings | Artifical simulation of various kinds of missings/polluted data | 
| Skulls | Measurement of skulls | 
| SkyeAFM | AFM compositions of 23 aphyric Skye lavas | 
| split.acomp | Splitting datasets in groups given by factors | 
| split.aplus | Splitting datasets in groups given by factors | 
| split.ccomp | Splitting datasets in groups given by factors | 
| split.rcomp | Splitting datasets in groups given by factors | 
| split.rmult | Splitting datasets in groups given by factors | 
| split.rplus | Splitting datasets in groups given by factors | 
| straight | Draws straight lines. | 
| straight.acomp | Draws straight lines. | 
| straight.aplus | Draws straight lines. | 
| straight.rcomp | Draws straight lines. | 
| straight.rmult | Draws straight lines. | 
| straight.rplus | Draws straight lines. | 
| summary.acomp | Summarizing a compositional dataset in terms of ratios | 
| summary.aplus | Summaries of amounts | 
| summary.rcomp | Summary of compositions in real geometry | 
| summary.rmult | Summaries of amounts | 
| summary.rplus | Summaries of amounts | 
| sumMissingProjector | Compute the global projector to the observed subspace. | 
| sumMissingProjector.acomp | Compute the global projector to the observed subspace. | 
| sumMissingProjector.aplus | Compute the global projector to the observed subspace. | 
| sumMissingProjector.rcomp | Compute the global projector to the observed subspace. | 
| sumMissingProjector.rmult | Compute the global projector to the observed subspace. | 
| sumMissingProjector.rplus | Compute the global projector to the observed subspace. | 
| Supervisor | Proportions of supervisor's statements assigned to different categories | 
| SZ | The policy of treatment of missing values in the "compositions" package | 
| SZvalue | The policy of treatment of missing values in the "compositions" package | 
| ternaryAxis | Axis for ternary diagrams | 
| totals | Total sum of amounts | 
| totals.acomp | Total sum of amounts | 
| totals.aplus | Total sum of amounts | 
| totals.ccomp | Total sum of amounts | 
| totals.rcomp | Total sum of amounts | 
| totals.rplus | Total sum of amounts | 
| tryDebugger | Empirical variograms for compositions | 
| uciptInv | Isometric planar transform | 
| ult | Uncentered log transform | 
| ultInv | Uncentered log transform | 
| unbinary | Treating binary and g-adic numbers | 
| var | Variances and covariances of amounts and compositions | 
| var.acomp | Variances and covariances of amounts and compositions | 
| var.aplus | Variances and covariances of amounts and compositions | 
| var.default | Variances and covariances of amounts and compositions | 
| var.lm | Residual variance of a model | 
| var.mlm | Residual variance of a model | 
| var.rcomp | Variances and covariances of amounts and compositions | 
| var.rmult | Variances and covariances of amounts and compositions | 
| var.rplus | Variances and covariances of amounts and compositions | 
| variation | Variation matrices of amounts and compositions | 
| variation.acomp | Variation matrices of amounts and compositions | 
| variation.aplus | Variation matrices of amounts and compositions | 
| variation.default | Variation matrices of amounts and compositions | 
| variation.rcomp | Variation matrices of amounts and compositions | 
| variation.rmult | Variation matrices of amounts and compositions | 
| variation.rplus | Variation matrices of amounts and compositions | 
| variation2clrvar | Convert between clr and ilr, and between cpt and ipt. | 
| vcovAcomp | Variance covariance matrix of parameters in compositional regression | 
| vgmFit | Compositional variogram model fitting | 
| vgmFit2lrv | Compositional variogram model fitting | 
| vgmGetParameters | Compositional variogram model fitting | 
| vgmGof | Compositional variogram model fitting | 
| vgmSetParameters | Compositional variogram model fitting | 
| vgram.cardsin | Variogram functions | 
| vgram.exp | Variogram functions | 
| vgram.gauss | Variogram functions | 
| vgram.lin | Variogram functions | 
| vgram.nugget | Variogram functions | 
| vgram.pow | Variogram functions | 
| vgram.sph | Variogram functions | 
| vgram2lrvgram | vgram2lrvgram | 
| vp.boxplot | Displaying compositions and amounts with box-plots | 
| vp.diffdensityplot | Pairs plot method for compositions | 
| vp.kde2dplot | Pairs plot method for compositions | 
| vp.logboxplot | Displaying compositions and amounts with box-plots | 
| vp.lrboxplot | Pairs plot method for compositions | 
| vp.lrdensityplot | Pairs plot method for compositions | 
| vp.qqnorm | Normal quantile plots for compositions and amounts | 
| whichBits | Treating binary and g-adic numbers | 
| WhiteCells | White-cell composition of 30 blood samples by two different methods | 
| Yatquat | Yatquat fruit evaluation | 
| zeroreplace | Zero-replacement routine | 
| $.acomp | Subsetting of compositions | 
| $.aplus | Subsetting of compositions | 
| $.ccomp | Subsetting of compositions | 
| $.rcomp | Subsetting of compositions | 
| $.rmult | Subsetting of compositions | 
| $.rplus | Subsetting of compositions | 
| %*% | inner product for matrices and vectors | 
| %*%.acomp | inner product for datasets with a vector space structure | 
| %*%.aplus | inner product for datasets with a vector space structure | 
| %*%.default | inner product for matrices and vectors | 
| %*%.rmult | inner product for datasets with vector scale | 
| *.acomp | Power transform in the simplex | 
| *.aplus | vectorial arithmetic for data sets with aplus class | 
| *.rcomp | Arithmetic operations for compositions in a real geometry | 
| *.rmult | vectorial arithmetic for datasets in a classical vector scale | 
| *.rplus | vectorial arithmetic for data sets with rplus class | 
| +.acomp | Perturbation of compositions | 
| +.aplus | vectorial arithmetic for data sets with aplus class | 
| +.rcomp | Arithmetic operations for compositions in a real geometry | 
| +.rmult | vectorial arithmetic for datasets in a classical vector scale | 
| +.rplus | vectorial arithmetic for data sets with rplus class | 
| -.acomp | Perturbation of compositions | 
| -.aplus | vectorial arithmetic for data sets with aplus class | 
| -.rcomp | Arithmetic operations for compositions in a real geometry | 
| -.rmult | vectorial arithmetic for datasets in a classical vector scale | 
| -.rplus | vectorial arithmetic for data sets with rplus class | 
| /.acomp | Power transform in the simplex | 
| /.aplus | vectorial arithmetic for data sets with aplus class | 
| /.rcomp | Arithmetic operations for compositions in a real geometry | 
| /.rmult | vectorial arithmetic for datasets in a classical vector scale | 
| /.rplus | vectorial arithmetic for data sets with rplus class | 
| [.acomp | Subsetting of compositions | 
| [.aplus | Subsetting of compositions | 
| [.ccomp | Subsetting of compositions | 
| [.rcomp | Subsetting of compositions | 
| [.rmult | Subsetting of compositions | 
| [.rplus | Subsetting of compositions |