impute_random: Impute missing values.
In cgeisenberger/crystalmeth: Streamlined Methylation-Based Classification of Tumors
Description
Usage
Arguments
Value
Description
This function imputes missing data with data points samples randomly from the non-missing entries.
Returns the input data unchanged if all data are missing.
Usage
1
impute_random(mat)
Arguments
mat
Matrix (with or without missing data)
Value
List with two slots:
imputed
Updated version of input matrix with NAs replaced
n
Number of data points which were replaced
cgeisenberger/crystalmeth documentation built on Aug. 28, 2020, 9:35 a.m.
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Description Usage Arguments Value
Description
This function imputes missing data with data points samples randomly from the non-missing entries. Returns the input data unchanged if all data are missing.
Usage
1 | impute_random(mat)
|
Arguments
mat |
Matrix (with or without missing data) |
Value
List with two slots:
imputed |
Updated version of input matrix with NAs replaced |
n |
Number of data points which were replaced |
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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