batch.shift

Remove batch effect withing each block.

An R implementation of quality control–based robust LOESS(local
polynomial regression fitting) signal correction for metabolomics data
analysis, described in Dunn, W., Broadhurst, D., Begley, P. et al. (2011)
<doi:10.1038/nprot.2011.335>. The optimisation of LOESS's span parameter
using generalized cross-validation (GCV) is provided as an option. In
addition to signal correction, 'qcrlscR' includes some utility functions
like batch shifting and data filtering.

Wanchang Lin

qcrlscR

Quality Control–based Robust LOESS Signal Correction

Warwick Dunn

batch.shift function

<dl><dt>x</dt>
<dd>a data matrix.</dd>
<dt>y</dt>
<dd>a categorical data for batch/block information.</dd>
<dt>method</dt>
<dd>method for shifting.</dd>
<dt>overall_average</dt>
<dd>a logical value to indicate whether or not an
overall average will be added after shifting.</dd></dl>

Arguments

Batch shifting — batch.shift

<dl>

<dt>x</dt>
<dd>a data matrix.</dd>


<dt>y</dt>
<dd>a categorical data for batch/block information.</dd>


<dt>method</dt>
<dd>method for shifting.</dd>


<dt>overall_average</dt>
<dd>a logical value to indicate whether or not an
overall average will be added after shifting.</dd>

</dl>

batch.shift: Batch shifting

Description

Usage

Value

Arguments

References

Examples