prepro_na: Missing values imputation by the mean of each column.
In MOSS: Multi-Omic Integration via Sparse Singular Value Decomposition
prepro_na R Documentation
Missing values imputation by the mean of each column.
Description
This function is called by moss to count the impute missing values
by the mean of each column within omic blocks.
If any column has more than 20
Usage
prepro_na(X)
Arguments
X
An object of class 'matrix', 'FBM', or 'array'.
Details
Meant for objects of class 'matrix', 'FBM', or 'array'.
Value
Returns input with imputed missing values.
MOSS documentation built on March 26, 2022, 1:10 a.m.
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| prepro_na | R Documentation |
Missing values imputation by the mean of each column.
Description
This function is called by moss to count the impute missing values by the mean of each column within omic blocks. If any column has more than 20
Usage
prepro_na(X)
Arguments
X |
An object of class 'matrix', 'FBM', or 'array'. |
Details
Meant for objects of class 'matrix', 'FBM', or 'array'.
Value
Returns input with imputed missing values.
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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