labelExtremes

A matrix containing the x values of the points/samples in the
first column, and the y values in the second.

data

A character vector of sample names. Length must match the
number of rows in <code>x</code>.

names

A number describing the fraction of points to be labeled.
<code>tol = 1.0</code> labels all the points; <code>tol = 0.05</code> labels
approximately the most extreme 5 percent. Note that this is simply
based upon quantiles, assumes that both x and y are each normally
distributed, and treats x and y separately. Thus, this is not a formal
treatment of outliers, just a means of labeling points. Note too that while
this function could deal with groups separately, the way it is called by
<code><a rd-options="" href="/link/plotScoresDecoration?package=ChemoSpec&version=4.4.97" data-mini-rdoc="ChemoSpec::plotScoresDecoration">plotScoresDecoration</a></code> lumps all groups together.

A utility function which plots the sample names next to the sample points.
The number of samples labeled can be specified by passing it from the
calling function. An internal function, not generally called by the user.

utilities

A collection of functions for top-down exploratory data analysis
of spectral data obtained via nuclear magnetic resonance (NMR), infrared (IR) or
Raman spectroscopy. Includes functions for plotting and inspecting spectra, peak
alignment, hierarchical cluster analysis (HCA), principal components analysis
(PCA) and model-based clustering. Robust methods appropriate for this type of
high-dimensional data are available. ChemoSpec is designed with metabolomics
data sets in mind, where the samples fall into groups such as treatment and
control. Graphical output is formatted consistently for publication quality
plots. ChemoSpec is intended to be very user friendly and help you get usable
results quickly. A vignette covering typical operations is available.

Bryan Hanson

ChemoSpec

Exploratory Chemometrics for Spectroscopy

Bryan A. Hanson

Mike Bostock

labelExtremes function

A number describing the fraction of points to be labeled.
<code>tol = 1.0</code> labels all the points; <code>tol = 0.05</code> labels
approximately the most extreme 5 percent. Note that this is simply
based upon quantiles, assumes that both x and y are each normally
distributed, and treats x and y separately. Thus, this is not a formal
treatment of outliers, just a means of labeling points. Note too that while
this function could deal with groups separately, the way it is called by
<code><a rd-options='' href='plotScoresDecoration'>plotScoresDecoration</a></code> lumps all groups together.

labelExtremes: Label Extreme Values in a 2D Data Set

Description

Usage

Arguments

Value

References