Composition of glaciar sediments from the Aar massif (Switzerland)
Color-size compositions of 20 clam colonies from East Bay
Household Expenditures
Compositions and total pebble counts of 92 glacial tills
Animal and vegetation measurement
Activity patterns of a statistician for 20 days
Color-size compositions of 20 clam colonies from West Bay
Firework mixtures
Compositions and depth of 25 specimens of boxite
Blood samples
Permeabilities of bayesite
Compositional Linear Model of Coregionalisation
Hydrochemical composition data set of Llobregat river basin water (NE Spain)
Diagnostic probabilities
Additive log ratio transform
Helper to compute confidence ellipsoids
Compositions, depths and porosities of 25 specimens of coxite
Compositions of 25 specimens of kongite
Measurement of skulls
AFM compositions of 23 aphyric Skye lavas
Steroid metabolite patterns in adults and children
Honk Kong Pogo-Jumps Championship
Shifts of machine operators
Centered log ratio transform
Classical Gauss Test
Simulated amount datasets
Convert between clr and ilr, and between cpt and ipt.
Power transform in the simplex
Three-dimensional biplots, based on package rgl
Yatquat fruit evaluation
The geometric mean
Amounts analysed in log-scale
Displaying compositions and amounts with box-plots
Marginal compositions in Aitchison Compositions
Drawing a 3D coordiante system to a plot, based on package rgl
Gets the detection limit stored in the data set
Compositions of 25 specimens of hongite
Heuristics to find subpopulations of outliers
Dendrogram representation of acomp or rcomp objects
Aitchison compositions
R square
Compositional Goodness of fit test
Count compositions
Internal functions of the compositions package
Compute balances for a compositional dataset.
Internal function: Scaling rcomp
Calling from a function with the own parameters
Hotellings T square distribution
vectorial arithmetic for data sets with aplus class
Additive planar transform
Internal functions of the compositions package
Isometric identity transform
Proportions of sand, silt and clay in sediments specimens
Isometric log ratio transform
Compositional Goodness of fit test
compositions
Serum Protein compositions of blood samples
Bar charts of amounts
The jura dataset
Compositional Ordinary Kriging
Ploting composition into rotable tetrahedron
Classify and summarize missing values in a dataset
Proportions of supervisor's statements assigned to different categories
Internal functions: Parallel operations of single and multiple datasets
The policy of treatment of missing values in the "compositions" package
Returns a projector the the observed space in case of missings.
Internal function: give a derived subclass to an object
Correlations of amounts and compositions
Convert "compositions" classes to data frames
Treating binary and g-adic numbers
White-cell composition of 30 blood samples by two different methods
arrows in 3D, based on package rgl
Interal function: Get number of samples and number of parts in a compositional object
Plot various graphics to analyse outliers.
Analysing outliers in compositions.
plot in 3D based on rgl
Draw ellipses
Internal function: Compute a desired compositional margin
A biplot providing somewhat easier access to details of the plot.
plot in 3D based on rgl
An auxiliary functions to compute user-defined ilr and ipt transforms.
Centered default transform
Principal component analysis for real compositions
Aitchison Distribution
Recast amounts as mixtures of end-members
Group amounts of parts
Loadings of relations of two amounts
Closure of a composition
Centered planar transform
Principal component analysis for real data
Create a color/char palette or for groups of outliers
Internal functions of the compositions package
Distances in variouse approaches
The canonical basis in the clr plane used for ilr and ipt transforms.
Internal functions: A conditional drop
Internal functions of the compositions package
Internal functions of the compositions package
Internal function: row and column sums of matrices
Auxiliary functions to compute user-defined ilr and ipt transforms.
Internal functions: Get the diagonal of a matrix
vectorial arithmetic for data sets with rplus class
Fitting a Dirichlet distribution
fitSameMeanDifferentVarianceModel
Fit Same Mean Different Variance Model
Environment containing the old gsi functions
Internal functions: Generate a diagonal matrix
Internal function: Checking equality of IEEE special numbers
Amounts i.e. positive numbers analysed as objects of the real vector space
Compute the global projector to the observed subspace.
Internal function: Invert a permutation
Internal function: Reshape an object to the shape type of another
Axis for ternary diagrams
Internal function: Can something be considered as a single
multivariate data item?
Internal function: Convert to plain vector or matrix
Internal function: Recode missings with IEEE number and vice versa
Compute Mahalanobis distances based von robust Estimations
Isometric log transform
Internal functions: Storing integers as reals
Internal functions of the compositions package
Internal function: computes variance of compositional data set with missing/zero values
Internal function: Solves singular and non square equation systems
The canonical basis in the clr plane used for ilr and ipt transforms.
Variance covariance matrix of parameters in compositional regression
Isometric default transform
Internal functions of the compositions package
vgram2lrvgram
Draws connected lines from point to point.
transformations from 'mixtures' to 'compositions' classes
Transformations from 'mixtures' to 'compositions' classes
Internal functions of the compositions package
Internal function: A panel displaying a label only
Compositional variogram model fitting
Checking for outliers
Empirical variograms for compositions
Reads a data file in a mixR format
Plot a Missing Summary
Perturbation of compositions
Unique parametrisations for matrices.
Empirical variograms for compositions
inner product for matrices and vectors
Normal quantile plots for compositions and amounts
inner product for datasets with a vector space structure
Dirichlet distribution
Isometric planar transform
Mean amounts and mean compositions
Vector space norm
The arithmetic mean of rows or columns
Check for compositional data type
Ternary diagrams
Principal component analysis for Aitchison compositions
Creates a paneled plot like pairs for two different datasets.
plot in 3D based on rgl
Normalize vectors to norm 1
Pairs plot method for compositions
Isoportion- and Isoproportion-lines
Parallel scalar products
Normalizing datasets by centering and scaling
Summaries of amounts
3D-plot of compositional data
Summary of compositions in real geometry
The names of the parts
The multivariate lognormal distribution
Principal component analysis for amounts in log geometry
Reads a data file in a geoeas format
Treating single compositions as one-row datasets
Metric summary statistics of real, amount or compositional data
Modify parameters of compositional plots.
Marginal compositions in real geometry
Empirical variograms for compositions
Uncentered log transform
Detect and classify compositional outliers.
3D-plot of positive data
vectorial arithmetic for datasets in a classical vector scale
Zero-replacement routine
Pairwise log ratio transform
Draws straight lines from point to point.
inner product for datasets with vector scale
Displaying amounts in scatterplots
Plots of pairwise logratio against a covariable.
Compositions as elements of the simplex embedded in the D-dimensional real space
Compositional Goodness of fit test
Ternary diagrams
Simulate count compositions without overdispersion
Printing compositional data.
The uniform distribution on the simplex
Principal component analysis for real amounts
Arithmetic operations for compositions in a real geometry
Total sum of amounts
power transform of a matrix
Compute distributions of empirical Mahalanobis distances based on
simulations
Artifical simulation of various kinds of missings/polluted data
Simple treatment of real vectors
Handling robustness issues and outliers in compositions.
Normal distributions on special spaces
Draws straight lines.
Splitting datasets in groups given by factors
Summarizing a compositional dataset in terms of ratios
Residual variance of a model
Variances and covariances of amounts and compositions
Variogram functions
Variation matrices of amounts and compositions
Artic lake sediment samples of different water depth
Activity patterns of a statistician for 20 days