estimate.handling.effect: Estimated handling effects
In LXQin/precision: PaiREd miCrorna sImulation on Study desIgn for mOlecular classificatioN
Description
Usage
Arguments
Value
Examples
Description
Estimate handling effects of an array of the nonuniformly-handled dataset
by taking the difference between its data and the data of
its matched array in the uniformly-handled dataset.
Usage
1
estimate.handling.effect(uhdata, nuhdata)
Arguments
uhdata
the uniformly-handled dataset.
The dataset must have rows as probes and columns as samples.
nuhdata
the nonuniformly-handled dataset.
The dataset must have rows as probes and columns as samples and the same dimensions and
the same probe names as the uniformly-handled dataset.
Value
an estimation of the handling effects
Examples
1
handling.effect <- estimate.handling.effect(uhdata = uhdata.pl, nuhdata = nuhdata.pl)
LXQin/precision documentation built on May 11, 2019, 6:24 p.m.
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Description Usage Arguments Value Examples
Description
Estimate handling effects of an array of the nonuniformly-handled dataset by taking the difference between its data and the data of its matched array in the uniformly-handled dataset.
Usage
1 | estimate.handling.effect(uhdata, nuhdata)
|
Arguments
uhdata |
the uniformly-handled dataset. The dataset must have rows as probes and columns as samples. |
nuhdata |
the nonuniformly-handled dataset. The dataset must have rows as probes and columns as samples and the same dimensions and the same probe names as the uniformly-handled dataset. |
Value
an estimation of the handling effects
Examples
1 | handling.effect <- estimate.handling.effect(uhdata = uhdata.pl, nuhdata = nuhdata.pl)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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