pre_pamr: PAMR adapted dataset pre-processing
In emil: Evaluation of Modeling without Information Leakage
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
The predict framework is designed to work with dataset where rows correspond
to observations and columns to descriptors. PAMR wants it the other way, and
also to have the fitting set response vector supplied in a list with the
descriptors. This function applies a standard pre-processing function and
then reformats the result to satisfy PAMR.
Usage
1
Arguments
data
Fitting and testing data sets, as returned by
pre_split.
Details
pre_pamr must be run last if chained with other pre-processing
functions, since it substantially reshapes the data.
Value
A list with fitting and testing sets, formatted the way pamr wants
them.
Author(s)
Christofer Bäcklin
References
Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan and
Gilbert Chu (2002) Diagnosis of multiple cancer types by shrunken centroids
of gene expression.
URL www.pnas.org/cgi/doi/10.1073/pnas.082099299
See Also
emil documentation built on Aug. 1, 2018, 1:03 a.m.
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Description Usage Arguments Details Value Author(s) References See Also
Description
The predict framework is designed to work with dataset where rows correspond to observations and columns to descriptors. PAMR wants it the other way, and also to have the fitting set response vector supplied in a list with the descriptors. This function applies a standard pre-processing function and then reformats the result to satisfy PAMR.
Usage
1 |
Arguments
data |
Fitting and testing data sets, as returned by
|
Details
pre_pamr must be run last if chained with other pre-processing
functions, since it substantially reshapes the data.
Value
A list with fitting and testing sets, formatted the way pamr wants them.
Author(s)
Christofer Bäcklin
References
Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan and Gilbert Chu (2002) Diagnosis of multiple cancer types by shrunken centroids of gene expression. URL www.pnas.org/cgi/doi/10.1073/pnas.082099299
See Also
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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