ap_binary: Binary
In cekehe/rappp: QC, data transformation and visualization for PAPP
View source: R/data_transformation.R
ap_binary R Documentation
Binary
Description
Create binary matrices based on scored Autoimmunity profiling data.
Usage
ap_binary(x, cutoffs)
Arguments
x
List of scoring values with two levels per element: level one = assay data sets ;
level two = bead subsets (e.g. wih and w/o controls).
It is recommended to use to element Scoring in the output from ap_scoring).
cutoffs
data.frame with at least one column named score with the desired cutoffs to use,
and rownames you want to have as identifier for each cutoff.
It is recommended is to use the Cutoff_key element in the output from ap_scoring).
Details
The input values will be binned into binary data, consisting of 0 and 1.
The input values should be scoring values, and structured as a list
(preferably the output from function ap_scoring()), even if only one data set is used
(see examples in ap_mads).
Value
List with binary data.frames
cekehe/rappp documentation built on May 17, 2022, 8:54 a.m.
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View source: R/data_transformation.R
| ap_binary | R Documentation |
Binary
Description
Create binary matrices based on scored Autoimmunity profiling data.
Usage
ap_binary(x, cutoffs)
Arguments
x |
List of scoring values with two levels per element: level one = assay data sets ; level two = bead subsets (e.g. wih and w/o controls). It is recommended to use to element Scoring in the output from ap_scoring). |
cutoffs |
data.frame with at least one column named score with the desired cutoffs to use, and rownames you want to have as identifier for each cutoff. It is recommended is to use the Cutoff_key element in the output from ap_scoring). |
Details
The input values will be binned into binary data, consisting of 0 and 1.
The input values should be scoring values, and structured as a list (preferably the output from function ap_scoring()), even if only one data set is used (see examples in ap_mads).
Value
List with binary data.frames
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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