elaborator_calculate_spearman_distance

This function derives the Spearman correlation coefficients for a data matrix and transforms the resulting similarity matrix into a distance/dissimilarity matrix. No difference is made between positive and negative correlations, i.e., correlations of -1 and 1 will be transformed to a distance of 0; correlations of 0 will be transformed to a distance of 1. Missing values in the input data will be handled by casewise deletion.

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A novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives. Janitza, S., Majumder, M., Mendolia, F., Jeske, S., & Kulmann, H. (2021) <doi:10.1007/s43441-021-00318-4>.

Bodo Kirsch

elaborator

A 'shiny' Application for Exploring Laboratory Data

Silke Janitza

Steffen Jeske

Madhurima Majumder

Franco Mendolia

Hermann Kulmann

elaborator_calculate_spearman_distance function

<dl><dt>x</dt>
<dd>data matrix for which a distance matrix based on the Spearman correlation coefficient is calculated</dd></dl>

Arguments

Calculates the distance matrix based on Spearman's correlation coefficient — elaborator_calculate_spearman_distance

<dl>

<dt>x</dt>
<dd>data matrix for which a distance matrix based on the Spearman correlation coefficient is calculated</dd>

</dl>

elaborator_calculate_spearman_distance: Calculates the distance matrix based on Spearman's correlation coefficient

Description

Usage

Value

Arguments