makeOmega: MM Algorithm - Generate Omega
In gettingtothebottom: Learning Optimization and Machine Learning for Statistics
Description
Usage
Arguments
Author(s)
Examples
Description
makeOmega Function for generating omega vector of missing values
Usage
1
makeOmega(m, n, percent, seed = 123)
Arguments
m
Number of rows in matrix to be generated
n
Number of columns in matrix to be generated
percent
Percent missing in matrix
seed
Random seed
Author(s)
Jocelyn T. Chi
Examples
1
2
3
4
m <- 1000
n <- 1000
percent <- 0.75
omega <- makeOmega(m,n,percent)
gettingtothebottom documentation built on May 29, 2017, 8:28 p.m.
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Description Usage Arguments Author(s) Examples
Description
makeOmega Function for generating omega vector of missing values
Usage
1 | makeOmega(m, n, percent, seed = 123)
|
Arguments
m |
Number of rows in matrix to be generated |
n |
Number of columns in matrix to be generated |
percent |
Percent missing in matrix |
seed |
Random seed |
Author(s)
Jocelyn T. Chi
Examples
1 2 3 4 | m <- 1000
n <- 1000
percent <- 0.75
omega <- makeOmega(m,n,percent)
|
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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