iccEval: iccEval
In BeanLabASU/metabimpute: Missingness Evaluation, Simulation and Imputation in Metabolomics
View source: R/iccEvaluation.R
View source: R/errorEvaluation.R
iccEval R Documentation
iccEval
Description
a function to compare ICC of original data to imputed data. MAKE SURE THAT THE LAST IN METHODS VECTOR is zero imputation
a function to compare ICC of original data to imputed data. MAKE SURE THAT THE LAST IN METHODS VECTOR is the comparison imputation method (zero usually)
Usage
iccEval(origData, reps, imputed, methods)
iccEval(origData, reps, imputed, methods)
Arguments
reps
number of replicates
imputed
this is a list of imputed dataframes
methods
this is a vector of all the imputation methods used
groups
this is a factor containing group levels
Value
a list of various measures
a list of various measures
BeanLabASU/metabimpute documentation built on Feb. 5, 2023, 11:41 p.m.
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View source: R/iccEvaluation.R View source: R/errorEvaluation.R
| iccEval | R Documentation |
iccEval
Description
a function to compare ICC of original data to imputed data. MAKE SURE THAT THE LAST IN METHODS VECTOR is zero imputation
a function to compare ICC of original data to imputed data. MAKE SURE THAT THE LAST IN METHODS VECTOR is the comparison imputation method (zero usually)
Usage
iccEval(origData, reps, imputed, methods) iccEval(origData, reps, imputed, methods)
Arguments
reps |
number of replicates |
imputed |
this is a list of imputed dataframes |
methods |
this is a vector of all the imputation methods used |
groups |
this is a factor containing group levels |
Value
a list of various measures
a list of various measures
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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