compositions2.0-8 package

Internal functions of the compositions package

Internal function: Convert to plain vector or matrix

Internal functions of the compositions package

Internal function: Scaling rcomp

Calling from a function with the own parameters

An auxiliary functions to compute user-defined ilr and ipt transforms.

Interal function: Get number of samples and number of parts in a compo...

Environment containing the old gsi functions

Internal function: Invert a permutation

Internal function: Can something be considered as a single multivariat...

Internal functions: Storing integers as reals

Class "acomp"

Aitchison compositions

Power transform in the simplex

Marginal compositions in Aitchison Compositions

Additive log ratio transform

Class "amounts"

Class "aplus"

Amounts analysed in log-scale

vectorial arithmetic for data sets with aplus class

Additive planar transform

arrows in 3D, based on package rgl

Convert "compositions" classes to data frames or matrices

Drawing a 3D coordiante system to a plot, based on package rgl

Automatic common backtransformation for compositions

Compute balances for a compositional dataset.

Bar charts of amounts

Treating binary and g-adic numbers

Three-dimensional biplots, based on package rgl

Displaying compositions and amounts with box-plots

Class "ccomp"

Count compositions

Compositional Goodness of fit test

Centered default transform

Closure of a composition

Centered log ratio transform

Convert between clr and ilr, and between cpt and ipt.

Heuristics to find subpopulations of outliers

Dendrogram representation of acomp or rcomp objects

Internal function: Compute a desired compositional margin

Auxiliary functions to compute user-defined ilr and ipt transforms.

A biplot providing somewhat easier access to details of the plot.

Create a color/char palette or for groups of outliers

Compositional Linear Model of Coregionalisation

The policy of treatment of missing values in the "compositions" packag...

Compositional Ordinary Kriging

Class "compositional"

tools:::Rd_package_title("compositions")

Internal functions of the compositions package

Helper to compute confidence ellipsoids

Correlations of amounts and compositions

Centered planar transform

Distances in variouse approaches

Draw ellipses

Recast amounts as mixtures of end-members

Fitting a Dirichlet distribution

Fit Same Mean Different Variance Model

Classical Gauss Test

The geometric mean

Gets the detection limit stored in the data set

Compositional Goodness of fit test

Group amounts of parts

Internal functions: Parallel operations of single and multiple dataset...

Internal function: give a derived subclass to an object

Internal functions of the compositions package

Internal functions of the compositions package

Internal functions of the compositions package

Internal function: row and column sums of matrices

Internal functions: Get the diagonal of a matrix

Internal functions: Generate a diagonal matrix

Internal functions: A conditional drop

Internal function: Checking equality of IEEE special numbers

The canonical basis in the clr plane used for ilr and ipt transforms.

Internal function: Recode missings with IEEE number and vice versa

Internal functions of the compositions package

Internal function: Reshape an object to the shape type of another

Internal functions of the compositions package

Internal function: Solves singular and non square equation systems

Internal function: A panel displaying a label only

Internal function: computes variance of compositional data set with mi...

Hotellings T square distribution

Isometric default transform

Isometric identity transform

Isometric log ratio transform

The canonical basis in the clr plane used for ilr and ipt transforms.

Isometric log transform

Isometric planar transform

Check for compositional data type

Checking for outliers

Isoportion- and Isoproportion-lines

The jura dataset

Density estimation on the simplex with Dirichlet kernel

Ploting composition into rotable tetrahedron

Draws connected lines from point to point.

Empirical variograms for compositions

vgram2lrvgram

Compute Mahalanobis distances based von robust Estimations

inner product for matrices and vectors

inner product for datasets with a vector space structure

Mean amounts and mean compositions

The arithmetic mean of rows or columns

Returns a projector the the observed space in case of missings.

Classify and summarize missing values in a dataset

Transformations from 'mixtures' to 'compositions' classes

Reads a data file in a mixR format

Metric summary statistics of real, amount or compositional data

The names of the parts

Vector space norm

Normalize vectors to norm 1

Treating single compositions as one-row datasets

Detect and classify compositional outliers.

Plot various graphics to analyse outliers.

Analysing outliers in compositions.

Creates a paneled plot like pairs for two different datasets.

Pairs plot method for compositions

Unique parametrisations for matrices.

Perturbation of compositions

Ternary diagrams

plot in 3D based on rgl

3D-plot of compositional data

3D-plot of positive data

plot in 3D based on rgl

plot in 3D based on rgl

Empirical variograms for compositions

Plot a Missing Summary

Displaying amounts in scatterplots

power transform of a matrix

Principal component analysis for Aitchison compositions

Principal component analysis for amounts in log geometry

Principal component analysis for real compositions

Principal component analysis for real data

Principal component analysis for real amounts

Printing compositional data.

Pairwise log ratio transform

Plots of pairwise logratio against a covariable.

Normal quantile plots for compositions and amounts

R square

Aitchison Distribution

Loadings of relations of two amounts

Class "rcomp"

Compositions as elements of the simplex embedded in the D-dimensional ...

Arithmetic operations for compositions in a real geometry

Marginal compositions in real geometry

Dirichlet distribution

Reads a data file in a geoeas format

Modify parameters of compositional plots.

The multivariate lognormal distribution

Compute distributions of empirical Mahalanobis distances based on simu...

Class "rmult"

Simple treatment of real vectors

vectorial arithmetic for datasets in a classical vector scale

inner product for datasets with vector scale

Normal distributions on special spaces

Handling robustness issues and outliers in compositions.

Class "rplus"

Amounts i.e. positive numbers analysed as objects of the real vector s...

vectorial arithmetic for data sets with rplus class

Simulate count compositions without overdispersion

The uniform distribution on the simplex

Parallel scalar products

Normalizing datasets by centering and scaling

Draws straight lines from point to point.

Ternary diagrams

Artifical simulation of various kinds of missings/polluted data

Splitting datasets in groups given by factors

Draws straight lines.

Subsetting of compositions

Summarizing a compositional dataset in terms of ratios

Summaries of amounts

Summary of compositions in real geometry

Compute the global projector to the observed subspace.

Axis for ternary diagrams

Compositional Goodness of fit test

Total sum of amounts

Empirical variograms for compositions

Uncentered log transform

Variances and covariances of amounts and compositions

Variation matrices of amounts and compositions

Variogram functions

Residual variance of a model

Variance covariance matrix of parameters in compositional regression

Compositional variogram model fitting

Standard R functions wrapped for compatibility

Zero-replacement routine