diet-Internal: Internal functions used in the diet package

In pkuhnert/diet: Performs an analysis of diet data using univariate trees

Internal functions used in the diet package

Description

These are internal functions used in the diet packagethat are not intended to be directly called by the user.

Usage

rpart.matrix(frame)

rpart.branch(x, y, node, branch)

rpconvert(x)

SpeciesCompBar(x, prey.cols, Factor, Species)

subsample(dat, ID, n)

spatialsamp(x, LonID, LatID, sizeofgrid = 5, ID = NULL, nsub = NULL,
  Plot = FALSE)

formOmat(object, ID)

Vis.Gam(x, view = NULL, cond = list(), n.grid = 30, too.far = 0,
  col = NA, color = "heat", contour.col = NULL, se = -1,
  type = "link", plot.type = "persp", zlim = NULL, nCol = 50, ...)

vis(x, view = NULL, cond = list(), n.grid = 30, too.far = 0,
  col = NA, color = "heat", contour.col = NULL, se = -1,
  type = "link", plot.type = "persp", zlim = NULL, nCol = 50,
  se.plot = TRUE, ...)

## S3 method for class 'igam'
vis(x, view = NULL, cond = list(), n.grid = 30,
  too.far = 0, col = NA, color = "heat", contour.col = NULL,
  se = -1, type = "link", plot.type = "persp", zlim = NULL,
  nCol = 50, se.plot = TRUE, ...)

textG.dpart(x, splits = TRUE, which = 4, label = "yval",
  FUN = text, all.leaves = FALSE, pretty = NULL,
  digits = getOption("digits") - 2, tadj = 0.65, use.n = FALSE,
  bars = TRUE, xadj = 1, yadj = 1, bord = FALSE,
  node.cols = NULL, pos = NULL, ...)

text.dpart(x, splits = TRUE, which = 4, label = "yval", FUN = text,
  all.leaves = FALSE, pretty = NULL, digits = getOption("digits") -
  2, tadj = 0.65, use.n = FALSE, bars = TRUE, xadj = 1, yadj = 1,
  bord = FALSE, node.cols = NULL, pos = NULL, ...)

tree.depth(nodes)

tree.depth.dpart(nodes)

snip.dpart(x, toss)

snip.dpart.mouse(tree, parms = paste(".rpart.parms", dev.cur(), sep =
  "."))

## S3 method for class 'dpart'
select.tree(object, se, nsplits)

select.tree(object, ...)

## S3 method for class 'dpart'
rsq(x, rn)

rsq(x, ...)

rpartco.dpart(tree, parms = paste(".rpart.parms", dev.cur(), sep = "."))

plotG.dpart(x, node.cols = NULL, pos = NULL, ...)

outside(polyx, polyy, x, y)

na.igam(x)

na.dpart(x)

mask(gridx, gridy, x, y)

explore.bag(object, node, cols = NULL, showtitle = FALSE,
  axis.side = 2, cex = 1, ylim)

explore(object, pred, pred.where, loss = NULL, node, cols = NULL,
  showtitle = FALSE, labels = TRUE, cex = 1, ylim)

writepn.csv(x)

Distance(O, P, type = "Hellinger")

pkuhnert/diet documentation built on June 10, 2025, 2:59 a.m.