geometric_mean

internal

Reproducible and automated analysis of multiplex bead assays such
as CBA (Morgan et al. 2004; <doi: 10.1016/j.clim.2003.11.017>), LEGENDplex
(Yu et al. 2015; <doi: 10.1084/jem.20142318>), and MACSPlex (Miltenyi
Biotec 2014; Application note: Data acquisition and analysis without the
MACSQuant analyzer;
<https://www.miltenyibiotec.com/upload/assets/IM0021608.PDF>). The
package provides functions for streamlined reading of fcs files, and
identification of bead clusters and analyte expression. The package eases
the calculation of standard curves and the subsequent calculation of the
analyte concentration.

Ulrik Stervbo

beadplexr

Analysis of Multiplex Cytometric Bead Assays

geometric_mean function

<dl><dt>.x</dt>
<dd>A numeric to take the geometric mean of</dd></dl>

Arguments

The geometric mean is given by:
$$
 \left(\prod_{i=1}^n x_i \right)^\frac{1}{n}
$$
but implemented as:
$$
 \frac{1}{n}\exp{\sum_{i=1}^n\log(x_i)}
$$
<code>NA</code>s are removed before calculation

Mean calculation

Calculate geometric mean — geometric_mean

<dl>

<dt>.x</dt>
<dd>A numeric to take the geometric mean of</dd>

</dl>

The geometric mean is given by:
$$
 \left(\prod_{i=1}^n x_i \right)^\frac{1}{n}
$$
but implemented as:
$$
 \frac{1}{n}\exp{\sum_{i=1}^n\log(x_i)}
$$
<code>NA</code>s are removed before calculation

geometric_mean: Calculate geometric mean

Description

Usage

Value

Arguments

Mean calculation

Examples