outl.det.u

Perform outlier detection using univariate method.

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

outl.det.u function

<dl><dt>x</dt>
<dd>a numeric vector.</dd>
<dt>method</dt>
<dd>method for univariate outlier detection. Only <code>percentile</code>
and <code>median</code> are supported.</dd></dl>

Arguments

Univariate outlier detection — outl.det.u

<dl>

<dt>x</dt>
<dd>a numeric vector.</dd>


<dt>method</dt>
<dd>method for univariate outlier detection. Only <code>percentile</code>
and <code>median</code> are supported.</dd>

</dl>

outl.det.u: Univariate outlier detection

Description

Usage

Value

Arguments

Details

References

Examples