dot-classification: For each simulated dataset, calculate predictive accuracy on...
In MSstatsSampleSize: Simulation tool for optimal design of high-dimensional MS-based proteomics experiment
Description
Usage
Arguments
Value
Description
For each simulated dataset, calculate predictive accuracy on validation set
Usage
1
2
.classification(index, classifier, train_x_list, train_y_list, valid_x,
valid_y)
Arguments
index
protein abundance data for one protein.
Value
A list with (1) predictive accuracy on validation set and
(2) the trained classification model
MSstatsSampleSize documentation built on Nov. 8, 2020, 4:53 p.m.
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Description Usage Arguments Value
Description
For each simulated dataset, calculate predictive accuracy on validation set
Usage
1 2 | .classification(index, classifier, train_x_list, train_y_list, valid_x,
valid_y)
|
Arguments
index |
protein abundance data for one protein. |
Value
A list with (1) predictive accuracy on validation set and (2) the trained classification model
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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