cmds

A dataframe or a statistical model.

Number of components to extract. If <code>n="all"</code>, then <code>n</code> is set as the number of variables minus 1 (<code>ncol(x)-1</code>). If <code>n="auto"</code> (default) or <code>n=NULL</code>, the number of components is selected through <code><a rd-options="" href="/link/n_factors?package=parameters&version=0.4.0" data-mini-rdoc="parameters::n_factors">n_factors</a></code>. In <code><a rd-options="" href="/link/reduce_parameters?package=parameters&version=0.4.0" data-mini-rdoc="parameters::reduce_parameters">reduce_parameters</a></code>, can also be <code>"max"</code>, in which case it will select all the components that are maximally pseudo-loaded (i.e., correlated) by at least one variable.

The distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Any unambiguous substring can be given.

distance

Arguments passed to or from other methods.

Also referred to as principal Coordinates Analysis (PCoA), Classical Multidimensional Scaling (cMDS) takes a set of dissimilarities (i.e., a distance matrix) and returns a set of points such that the distances between the points are approximately equal to the dissimilarities.

Utilities for processing the parameters of various
statistical models. Beyond computing p values, CIs, and other indices
for a wide variety of models (see support list of insight; L<c3><bc>decke,
Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package
implements features like bootstrapping or simulating of parameters and
models, feature reduction (feature extraction and variable selection)
as well as functions to describe data and variable characteristics
(e.g. skewness, kurtosis, smoothness or distribution).

Daniel Lüdecke

parameters

Processing of Model Parameters

Daniel L<c3><bc>decke

Dominique Makowski

Mattan S. Ben-Shachar

Indrajeet Patil

Zen J. Lau

cmds function

Number of components to extract. If <code>n="all"</code>, then <code>n</code> is set as the number of variables minus 1 (<code>ncol(x)-1</code>). If <code>n="auto"</code> (default) or <code>n=NULL</code>, the number of components is selected through <code><a rd-options='' href='n_factors'>n_factors</a></code>. In <code><a rd-options='' href='reduce_parameters'>reduce_parameters</a></code>, can also be <code>"max"</code>, in which case it will select all the components that are maximally pseudo-loaded (i.e., correlated) by at least one variable.

cmds: Classical Multidimensional Scaling (cMDS)

Description

Usage

Arguments

References

Examples