diagnostic_matrix.microarray: Diagnostic plot and ranking of batch-correction methods
In madhulika-EBI/Batchevaluation: Toolkit for batch correction
View source: R/Diagnostic.microarray.R
diagnostic_matrix.microarray R Documentation
Diagnostic plot and ranking of batch-correction methods
Description
The function performs ranking and plotting of the evaluation data obtained at
the previous step 'batch_evaluation’. Here, methods are ranked on their individual performance,
and finally 'sumRank' is the final Rank of each method for the given dataset.
Rank 1 will be the best performer method.
Usage
diagnostic_matrix.microarray(evaluation)
Arguments
evaluation
evaluation is the evaluation list obtained from the previous step 'evaluation_matrix'.
Value
A list of two data-frame- (a) raw - simple data-frame output of evaluation matrix and, (b) ranked-
Ranked data-frame of evaluation matrix which has additional column 'sumRank' containing final Rank of each method.
Ranks are in descending performance order, i.e. method having score 1 will be the best method.
madhulika-EBI/Batchevaluation documentation built on Jan. 27, 2023, 5:27 p.m.
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View source: R/Diagnostic.microarray.R
| diagnostic_matrix.microarray | R Documentation |
Diagnostic plot and ranking of batch-correction methods
Description
The function performs ranking and plotting of the evaluation data obtained at the previous step 'batch_evaluation’. Here, methods are ranked on their individual performance, and finally 'sumRank' is the final Rank of each method for the given dataset. Rank 1 will be the best performer method.
Usage
diagnostic_matrix.microarray(evaluation)
Arguments
evaluation |
evaluation is the evaluation list obtained from the previous step 'evaluation_matrix'. |
Value
A list of two data-frame- (a) raw - simple data-frame output of evaluation matrix and, (b) ranked- Ranked data-frame of evaluation matrix which has additional column 'sumRank' containing final Rank of each method. Ranks are in descending performance order, i.e. method having score 1 will be the best method.
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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