tscat_apply

List of <code><a rd-options="" href="/link/cmpoutput?package=micompr&version=1.1.0" data-mini-rdoc="micompr::cmpoutput">cmpoutput</a></code> objects.

cmps

Character vector determining how to draw the points in
<code>TikZ</code>, for example: <code>
c("mark=square*,mark options={color=red},mark size=0.8pt",
 "mark=diamond*,mark options={color=black},mark size=0.6pt",
 "mark=triangle*,mark options={color=green},mark size=0.7pt")</code>.

marks

The <code>scale</code> property of the <code>TikZ</code> figure.

tscale

<code>LaTeX</code> code to paste before each <code>TikZ</code> figure.

before

<code>LaTeX</code> code to paste after each <code>TikZ</code> figure.

after

Produce multiple <code>TikZ</code> 2D scatter plots for a list of
<code><a rd-options="" href="/link/cmpoutput?package=micompr&version=1.1.0" data-mini-rdoc="micompr::cmpoutput">cmpoutput</a></code> objects.

internal

A procedure for comparing multivariate samples associated with
different groups. It uses principal component analysis to convert
multivariate observations into a set of linearly uncorrelated statistical
measures, which are then compared using a number of statistical methods. The
procedure is independent of the distributional properties of samples and
automatically selects features that best explain their differences, avoiding
manual selection of specific points or summary statistics. It is appropriate
for comparing samples of time series, images, spectrometric measures or
similar multivariate observations.

Nuno Fachada

micompr

Multivariate Independent Comparison of Observations

tscat_apply function

List of <code><a rd-options='' href='cmpoutput'>cmpoutput</a></code> objects.

Produce multiple <code>TikZ</code> 2D scatter plots for a list of
<code><a rd-options='' href='cmpoutput'>cmpoutput</a></code> objects.

tscat_apply: Multiple `TikZ` 2D scatter plots for a list of output comparisons.

Description

Usage

Arguments

Value

Details