A B C D E G H I K L M N O P Q R S T U V
%*% | 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 Aitchisons simplex |
*.aplus | vectorial arithmetic for datasets with aplus class |
*.rcomp | Arithmetic operations for composition in real geometry |
*.rmult | vectorial arithmetic for datasets in a classical vector scale |
*.rplus | Arithmetik of rplus-scale |
+.acomp | Perturbation of compositions |
+.aplus | vectorial arithmetic for datasets with aplus class |
+.rcomp | Arithmetic operations for composition in real geometry |
+.rmult | vectorial arithmetic for datasets in a classical vector scale |
+.rplus | Arithmetik of rplus-scale |
-.acomp | Perturbation of compositions |
-.aplus | vectorial arithmetic for datasets with aplus class |
-.rcomp | Arithmetic operations for composition in real geometry |
-.rmult | vectorial arithmetic for datasets in a classical vector scale |
-.rplus | Arithmetik of rplus-scale |
/.acomp | Power transform in Aitchisons simplex |
/.aplus | vectorial arithmetic for datasets with aplus class |
/.rcomp | Arithmetic operations for composition in real geometry |
/.rmult | vectorial arithmetic for datasets in a classical vector scale |
/.rplus | Arithmetik of rplus-scale |
acomp | Aitchison compositions |
acompmargin | Marginal compositions in Aitchison Compositions |
alr | Additive log ratio transform |
aplus | Amounts analysed in log-scale |
apt | Additive planar transform |
as.data.frame.acomp | Convert "compositions" classes to data frames |
as.data.frame.aplus | Convert "compositions" classes to data frames |
as.data.frame.rcomp | Convert "compositions" classes to data frames |
as.data.frame.rmult | Convert "compositions" classes to data frames |
as.data.frame.rplus | Convert "compositions" classes to data frames |
barplot.acomp | Barcharts of amounts |
barplot.aplus | Barcharts of amounts |
barplot.rcomp | Barcharts of amounts |
barplot.rplus | Barcharts of amounts |
boxplot.acomp | Displaying compositions and amounts by boxplots |
boxplot.aplus | Displaying compositions and amounts by boxplots |
boxplot.rcomp | Displaying compositions and amounts by boxplots |
boxplot.rplus | Displaying compositions and amounts by boxplots |
cdt | Centered default transform |
clo | Closure of a composition |
clr | Centered log ratio transform |
clr2ilr | Convert between clr and ilr, and between cpt and ipt. Acts in vectors and in bilinear forms. |
clrvar2ilr | Convert between clr and ilr, and between cpt and ipt. Acts in vectors and in bilinear forms. |
convex.rcomp | Arithmetic operations for composition in real geometry |
cor | Correlations of amounts and compositions |
cov | Variances and covariances of amounts and compositions |
cpt | Centered planar transform |
dist | 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 |
endpointCoordinates | Amounts in barytic-coordinates |
endpointCoordinatesInv | Amounts in barytic-coordinates |
geometricmean | The geometric mean |
groupparts | Group amounts of parts |
gsi | Internal functions of the compositions package |
gsi.add | Internal functions: Parallel operations of single and multiple datasets |
gsi.add2pairs | Internal functions of the compositions package |
gsi.addclass | Internal function: give an object a derived subclass |
gsi.call | Internal functions of the compositions package |
gsi.closespread | Internal functions of the compositions package |
gsi.diagExtract | Internal functions: Get the diagonal of a matrix |
gsi.diagGenerate | Internal functions: Generate a diagonal matrix |
gsi.div | Internal functions: Parallel operations of single and multiple datasets |
gsi.drop | Internal functions: A conditional drop |
gsi.eps | Internal variable: Negligible differences |
gsi.expandrcomp | Internal function: Scaling rcomp |
gsi.getD | Interal function: Get number of samples and number of parts in a compositional object |
gsi.getN | Interal function: Get number of samples and number of parts in a compositional object |
gsi.ilrBase | The canonical basis in the clr plane used for ilr and ipt transforms. |
gsi.isSingleRow | Internal function: Can something be considered as a single multivariate data item? |
gsi.mapfrom01 | Internal functions: Storing integers as reals |
gsi.mapin01 | Internal functions: Storing integers as reals |
gsi.mapmax | Internal functions: Storing integers as reals |
gsi.mapmin | Internal functions: Storing integers as reals |
gsi.margin | Internal function: Compute a desired compositional margin |
gsi.mul | Internal functions: Parallel operations of single and multiple datasets |
gsi.pairrelativeMatrix | Internal functions of the compositions package |
gsi.pairs | Internal functions of the compositions package |
gsi.plain | Internal function: Convert to plain vector or matrix |
gsi.plotmargin | Internal functions of the compositions package |
gsi.plots | Internal functions of the compositions package |
gsi.simshape | Internal function: Reshape an object to the shape type of another |
gsi.spreadToIsoSpace | Internal functions of the compositions package |
gsi.sub | Internal functions: Parallel operations of single and multiple datasets |
gsi.textpanel | Internal function: A panel displaying a label only |
gsi2.invperm | Internal function: Invert a permutation |
Hydrochem | Hydrochemical composition data set of Llobregat river basin water (NE Spain) |
idt | Isometric default transform |
iit | Isometric identity transform |
ilr | Isometric log ratio transform |
ilr2clr | Convert between clr and ilr, and between cpt and ipt. Acts in vectors and in bilinear forms. |
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. |
ilrvar2clr | Convert between clr and ilr, and between cpt and ipt. Acts in vectors and in bilinear forms. |
ilt | Isometric log transform |
ipt | Isometric planar transform |
is.acomp | Check for compositional data type |
is.aplus | Check for compositional data type |
is.rcomp | Check for compositional data type |
is.rmult | Check for compositional data type |
is.rplus | Check for compositional data type |
Kappa | Uncentered log transform |
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. |
mcor | Metric summary statistics of real, amount or compositional data |
mcov | Metric summary statistics of real, amount or compositional data |
mean.acomp | Mean amounts and mean compositions |
mean.aplus | 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 |
msd | Metric summary statistics of real, amount or compositional data |
mul.rplus | Arithmetik of rplus-scale |
mvar | Metric summary statistics of real, amount or compositional data |
names.acomp | The names of the parts |
names.aplus | 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 |
norm | Vector space norm |
normalize | Normalize vectors to norm 1 |
oneOrDataset | Treating single compositions as one-row datasets |
perturbe | Perturbation of compositions |
perturbe.aplus | vectorial arithmetic for datasets with aplus class |
plot.acomp | Displaying compositions in ternary diagrams |
plot.aplus | Displaying amounts in scatterplots |
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 | Displaying compositions in 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 |
power.acomp | Power transform in Aitchisons simplex |
power.aplus | vectorial arithmetic for datasets with aplus class |
powerofpsdmatrix | power transform of a matrix |
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 | Principle component analysis for Real data |
princomp.rplus | Principal component analysis for real amounts |
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.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 |
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 |
rcomp | Compositions as elements of the Simplex embedded in the D-dimensional real space |
rcompmargin | Marginal compositions in real geometry |
rDirichlet | Dirichlet distribution |
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 |
rlnorm.rplus | The multivariate lognormal distribution |
rmult | Simple treatment of real vectors |
rnorm.acomp | Normal distributions on special spaces |
rnorm.aplus | 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 |
rplus | Amounts i.e. positive numbers analysed as objects of the real vector space |
runif.acomp | The uniform distribution on the simplex |
runif.rcomp | The uniform distribution on the simplex |
sa.dirichlet | Simulated amount datasets |
sa.dirichlet5 | Simulated amount datasets |
sa.groups | Simulated amount datasets |
sa.groups5 | Simulated amount datasets |
sa.lognormals | Simulated amount datasets |
sa.lognormals5 | Simulated amount datasets |
sa.tnormals | Simulated amount datasets |
sa.tnormals5 | Simulated amount datasets |
sa.uniform | Simulated amount datasets |
sa.uniform5 | Simulated amount datasets |
scalar | Parallel scalar products |
scale.acomp | Normalizing datasets by centering and scaling |
scale.aplus | 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 |
segments.acomp | Draws straight lines from point to point. |
segments.aplus | 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. |
SimulatedAmounts | Simulated amount datasets |
split.acomp | Spliting datasets in groups given by factors |
split.aplus | Spliting datasets in groups given by factors |
split.rcomp | Spliting datasets in groups given by factors |
split.rmult | Spliting datasets in groups given by factors |
split.rplus | Spliting datasets in groups given by factors |
straight | Draws infinite 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 |
totals | Total sum of amounts |
ucipt.inv | Isometric planar transform |
ult | Uncentered log transform |
var | Variances and covariances of amounts and compositions |
variation | Variation matrices of amounts and compositions |
vp.boxplot | Displaying compositions and amounts by boxplots |
vp.logboxplot | Displaying compositions and amounts by boxplots |
vp.qqnorm | Normal quantile plots for compositions and amounts |