simEval: simEval
In BeanLabASU/metabimpute: Missingness Evaluation, Simulation and Imputation in Metabolomics
View source: R/errorEvaluation.R
simEval R Documentation
simEval
Description
simEval
Usage
simEval(origData, missData, impData, methods, imputationResults, simulate_Data)
Arguments
origData
the dataset prior to simulating missingness
missData
the dataset with missingness applied
impData
the imputed dataset
methods
a list of evaluation methods to be utilized
imputationResults
outcome
is a grouping list for supervized learning to use PLS or pearson
Value
results a dataframe displaying NRMSE, PCA-Procustes, PLS Procrustes and Student's T test and Pearson Correl
BeanLabASU/metabimpute documentation built on Feb. 5, 2023, 11:41 p.m.
R Package Documentation
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View source: R/errorEvaluation.R
| simEval | R Documentation |
simEval
Description
simEval
Usage
simEval(origData, missData, impData, methods, imputationResults, simulate_Data)
Arguments
origData |
the dataset prior to simulating missingness |
missData |
the dataset with missingness applied |
impData |
the imputed dataset |
methods |
a list of evaluation methods to be utilized |
imputationResults |
|
outcome |
is a grouping list for supervized learning to use PLS or pearson |
Value
results a dataframe displaying NRMSE, PCA-Procustes, PLS Procrustes and Student's T test and Pearson Correl
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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