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