Version 2.0-1.9001
Minor changes / Bugfixes:
* functions that do not work with sticky classes are now wrapped
(e.g. `anova()`)
Version 2.0-1.9000
Major change: sticky classes!
Now objects of compositional classes do not miss their class
when subsetting. For example, if `x` is an "acomp" object,
x[1:2,] will also be an "acomp" object. Selection of columns work
as well, but it is a bit more tricky. Check ?`[.acomp` for
details. You can get skip this behaviour by setting
setStickyClassOption(FALSE). The dollar notation `$` also works!
Added:
* Limited support for using compositions classes as formal S4
classes, for instance in slots of S4 classes expecting a
"data.frame" or a "structure" (matrix or array).
* self-invertibility: now "rmult" objects created by any
transformation (cdt, clr, cpt, idt, ilr, ipt, iit, ilt, alr,
apt) remember the original data and the transformation between
them, and can be back-transformed with `backtransform`.
* added cdt and idt methods for objects of class "factor" (returning
the contrasts and their ipt transformation), and for "data.frame"
objects (exploiting the attribute "origClass" if they have it).
* `pwlr()`: pairwise logratio transformation (and inverse: `pwlrInv()`)
* `pwlrPlot()`: pairwise logratio plots vs covariables, both as explained
and as explanatory variables. This makes use of the ability of plot(x~y)
to react to the nature of `x` and `y` to create scatterplots, boxplots
and spineplots.
* transformation functions between variation and clrvar: variation2clrvar
and clrvar2variation
* `split()` methods for compositional classes
* new panels for filling `pairs()` plots with boxplots, densities,
kde2d-densities, etc...: check ?vp.kde2dplot
Minor Changes:
* the function to fit linear models of coregionalisation is now called
`fit.lmc()`; use full name specification with it! `compositions::fit.lmc()`
Bugfixes:
* bug in subsetting of one-column rmult object corected
Provides functions for the consistent analysis of compositional data
(e.g. portions of substances) and positive numbers (e.g.
concentrations) in the way proposed by J. Aitchison and V.
Pawlowsky-Glahn.
