perturb_y: Simulates misclassification in binary phenotype
In afrahshafquat/phelex: Estimate misclassification probabilities for GWAS Phenotypes
Description
Usage
Arguments
Value
Description
This function simulates misclassification of binary phenotype (vector y) by switching fraction lambda of 0 (controls)
to 1 (cases) and fraction c_alpha of 1 (cases) to 0 (controls).
Usage
1
Arguments
y
Vector of values of 0s and 1s.
lambda
Fraction of controls switched to cases. Default is NULL (no switch).
c_alpha
Fraction of cases switched to controls. Default is NULL (no switch).
seed
Seed number to ensure different switches take place everytime. Default is 1000.
Value
Vector with switched 0s and 1s according to defined lambda and alpha.
afrahshafquat/phelex documentation built on Feb. 5, 2020, 7:44 p.m.
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Description Usage Arguments Value
Description
This function simulates misclassification of binary phenotype (vector y) by switching fraction lambda of 0 (controls) to 1 (cases) and fraction c_alpha of 1 (cases) to 0 (controls).
Usage
1 |
Arguments
y |
Vector of values of 0s and 1s. |
lambda |
Fraction of controls switched to cases. Default is NULL (no switch). |
c_alpha |
Fraction of cases switched to controls. Default is NULL (no switch). |
seed |
Seed number to ensure different switches take place everytime. Default is 1000. |
Value
Vector with switched 0s and 1s according to defined lambda and alpha.
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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