calculateAvgMadMem: Calculate average MAD (Median Absolute Deviation) for each...
In ComputationalProteomics/NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
View source: R/analyzeResults.R
calculateAvgMadMem R Documentation
Calculate average MAD (Median Absolute Deviation) for each feature in
each condition and then calculates the average for each replicate group
Description
Calculate average MAD (Median Absolute Deviation) for each feature in
each condition and then calculates the average for each replicate group
Usage
calculateAvgMadMem(methodList, sampleReplicateGroups)
Arguments
methodList
List containing normalized matrices.
sampleReplicateGroups
Condition header.
Value
condAvgMadMat Matrix with average MAD for each biological condition.
ComputationalProteomics/NormalyzerDE documentation built on Sept. 18, 2023, 9:15 p.m.
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View source: R/analyzeResults.R
| calculateAvgMadMem | R Documentation |
Calculate average MAD (Median Absolute Deviation) for each feature in each condition and then calculates the average for each replicate group
Description
Calculate average MAD (Median Absolute Deviation) for each feature in each condition and then calculates the average for each replicate group
Usage
calculateAvgMadMem(methodList, sampleReplicateGroups)
Arguments
methodList |
List containing normalized matrices. |
sampleReplicateGroups |
Condition header. |
Value
condAvgMadMat Matrix with average MAD for each biological condition.
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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