ordiGetData(call, env)
ordiParseFormula(formula, data, xlev = NULL, envdepth = 2)
ordiTerminfo(d, data)
ordiArrowMul(x, at = c(0,0), fill = 0.75)
ordiArgAbsorber(..., shrink, origin, scaling, triangular,
display, choices, const, FUN)
centroids.cca(x, mf, wt)
permuted.index(n, strata)
pasteCall(call, prefix = "Call:")
ordiGetData
finds the model frame of constraints and conditions
in constrained ordination in the defined env
ironment.
ordiParseFormula
returns a list of three matrices (dependent
variables, and model.matrix
of constraints and
conditions, possibly NULL
) needed in constrained
ordination. Argument xlev
is passed to
model.frame
and argument envdepth
specifies the
depth at which the community data (dependent data) is evaluated;
default envdepth = 2
evaluates that in the environment of the
parent of the calling function, and envdepth = 1
within the
calling function (see eval.parent
). ordiTermInfo
finds the term information for constrained ordination as described in
cca.object
. ordiArgAbsorber
absorbs arguments of scores
function of FUN
. If you implement
scores
functions with new arguments, you should update
ordiArgAbsorber
.
centroids.cca
finds the weighted centroids of variables.
permuted.index
creates permuted index of length n
possibly stratified within strata
. This is the basic permuted.index2
in the future releases of permuted.index2
.
pasteCall
prints the function call so that it is nicely wrapped
in Sweave
output.