plotDistances.ddsimca: Show with distance values (score, orthogonal or full) vs...

In mdatools: Multivariate Data Analysis for Chemometrics

Show with distance values (score, orthogonal or full) vs object indices for calibration and PV-set results.

Description

Show with distance values (score, orthogonal or full) vs object indices for calibration and PV-set results.

Usage

## S3 method for class 'ddsimca'
plotDistances(
  obj,
  res = "both",
  ncomp = obj$ncomp.selected,
  limType = "classic",
  distance = "h",
  log = FALSE,
  lim.lty = c(2, 3),
  lim.col = c("darkgray", "darkgray"),
  lim.lwd = c(1, 1),
  ylim = NULL,
  xlim = NULL,
  ...
)

Arguments

obj	DD-SIMCA model (object of class ddsimca)
res	name of the results (can be 'cal', 'pv', 'both', or 'diff', in the latter case shows difference of the distance values between the training and the PV-set).
ncomp	number of components to show the plot for.
limType	limit type to show the plot for ('classic' or 'robust')
distance	which distance to show ("h" for score, "q" for orthogonal or "f" for full distance).
log	logical, apply log transformation or not.
lim.lty	vector with two values - types of the lines showing critical limits (extreme, outlier).
lim.col	vector with two values - colors of the lines showing critical limits (extreme, outlier).
lim.lwd	vector with two values - thickness of the lines showing critical limits (extreme, outlier).
ylim	limits for y-axis, if NULL will be estimated automatically.
xlim	limits for x-axis, if NULL will be estimated automatically.
...	other parameters compatible with plotDistances.ddsimcares method.

mdatools documentation built on March 6, 2026, 5:08 p.m.