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 |