data_lasso: Prepare Dataset for Post-processing
In yun-feng/WGDAP: Whole Genome Duplication Analysis Pipeline
Description
Usage
Arguments
Value
Examples
Description
Modify the original dataset in order to save some steps in the approximal gradient descent iteration for lasso.
Usage
1
data_lasso(data, g, par_a = 1)
Arguments
data
The CNV dataset (see load_data)
g
The integer-valued ploidy
par_a
The constant indicating how ploidy infecting the final copy number profile
Value
List of values or matrice for lasso problem
Examples
1
wkdata<-data_lasso(wkdata,g_int)
yun-feng/WGDAP documentation built on Nov. 5, 2019, 1:22 p.m.
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Description Usage Arguments Value Examples
Description
Modify the original dataset in order to save some steps in the approximal gradient descent iteration for lasso.
Usage
1 | data_lasso(data, g, par_a = 1)
|
Arguments
data |
The CNV dataset (see |
g |
The integer-valued ploidy |
par_a |
The constant indicating how ploidy infecting the final copy number profile |
Value
List of values or matrice for lasso problem
Examples
1 | wkdata<-data_lasso(wkdata,g_int)
|
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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