cluster_centers

For each cluster, computes the mean (or other indices) of the variables. Can be used
to retrieve the centers of clusters. Also returns the within Sum of Squares.

Utilities for processing the parameters of various
statistical models. Beyond computing p values, CIs, and other indices
for a wide variety of models (see list of supported models using the
function 'insight::supported_models()'), 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

Dominique Makowski

Mattan S. Ben-Shachar

Indrajeet Patil

Søren Højsgaard

Brenton M. Wiernik

Zen J. Lau

Vincent Arel-Bundock

Jeffrey Girard

Christina Maimone

Niels Ohlsen

Douglas Ezra Morrison

Joseph Luchman

cluster_centers function

<dl><dt>data</dt>
<dd>A data.frame.</dd>
<dt>clusters</dt>
<dd>A vector with clusters assignments (must be same length as rows in data).</dd>
<dt>fun</dt>
<dd>What function to use, <code>mean</code> by default.</dd>
<dt>...</dt>
<dd>Other arguments to be passed to or from other functions.</dd></dl>

Arguments

Find the cluster centers in your data — cluster_centers

<dl>

<dt>data</dt>
<dd>A data.frame.</dd>


<dt>clusters</dt>
<dd>A vector with clusters assignments (must be same length as rows in data).</dd>


<dt>fun</dt>
<dd>What function to use, <code>mean</code> by default.</dd>


<dt>...</dt>
<dd>Other arguments to be passed to or from other functions.</dd>

</dl>

Find the cluster centers in your data

cluster_centers: Find the cluster centers in your data

Description

Usage

Value

Arguments

Examples