ReplaceMin: Replace missing or zero values
In xia-lab/MetaboAnalystR3.0: An R Package for Comprehensive Analysis of Metabolomics Data
Description
Usage
Arguments
Author(s)
View source: R/general_proc_utils.R
Description
This function will replace zero/missing values by half of the smallest
positive value in the original dataset.
This method will be called after all missing value imputations are conducted.
Also, it directly modifies the mSet$dataSet$proc if executed after normalization,
or the mSet$dataSet$norm if before normalization.
Usage
1
ReplaceMin(mSetObj=NA)
Arguments
mSetObj
Input the name of the created mSetObj (see InitDataObjects)
Author(s)
Jeff Xia jeff.xia@mcgill.ca
McGill University, Canada
License: GNU GPL (>= 2)
xia-lab/MetaboAnalystR3.0 documentation built on May 6, 2020, 11:03 p.m.
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Description Usage Arguments Author(s)
View source: R/general_proc_utils.R
Description
This function will replace zero/missing values by half of the smallest positive value in the original dataset. This method will be called after all missing value imputations are conducted. Also, it directly modifies the mSet$dataSet$proc if executed after normalization, or the mSet$dataSet$norm if before normalization.
Usage
1 | ReplaceMin(mSetObj=NA)
|
Arguments
mSetObj |
Input the name of the created mSetObj (see InitDataObjects) |
Author(s)
Jeff Xia jeff.xia@mcgill.ca McGill University, Canada License: GNU GPL (>= 2)
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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