assumptions

Generic function to get the assumptions for parametric tests applied to the
comparison of output observations.

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. This package is described in Fachada et
al. (2016) <doi:10.32614/RJ-2016-055>.

Nuno Fachada

micompr

Multivariate Independent Comparison of Observations

assumptions function

<dl><dt>obj</dt>
<dd>Object from which to get the assumptions.</dd></dl>

Arguments

Parametric tests assumptions — assumptions

<dl>

<dt>obj</dt>
<dd>Object from which to get the assumptions.</dd>

</dl>

assumptions: Parametric tests assumptions

Description

Usage

Value

Arguments

See Also