pvalnum

Make sure p-values are numeric. Non-numeric values (e.g., "&lt;0.001")
are converted to zero.

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

Nuno Fachada

micompr

Multivariate Independent Comparison of Observations

pvalnum function

<dl><dt>pvals</dt>
<dd>Vector of p-values which might not be fully numeric.</dd></dl>

Arguments

Make sure p-values are numeric — pvalnum

<dl>

<dt>pvals</dt>
<dd>Vector of p-values which might not be fully numeric.</dd>

</dl>

pvalnum: Make sure p-values are numeric

Description

Usage

Value

Arguments

Examples