misclassify: Adds some misclassification error to binary data
In agaye/ESPRESSO.G: Power Analysis and Sample Size Calculation for a model with a main effect genetic covariate
Description
Usage
Arguments
Value
Author(s)
Description
Introduces some misclassification in binary data. The
number of values misclassified is determined by the
misclassification rates.
Usage
1
misclassify(binary.vector, error.1.0 = 0.05, error.0.1 = 0.05)
Arguments
binary.vector
a vector of binary values.
error.1.0
1 to 0 misclassification rate.
error.0.1
0 to 1 misclassification rate.
Value
a binary vector
Author(s)
Gaye A.
agaye/ESPRESSO.G documentation built on May 10, 2019, 7:31 a.m.
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Description Usage Arguments Value Author(s)
Description
Introduces some misclassification in binary data. The number of values misclassified is determined by the misclassification rates.
Usage
1 | misclassify(binary.vector, error.1.0 = 0.05, error.0.1 = 0.05)
|
Arguments
binary.vector |
a vector of binary values. |
error.1.0 |
1 to 0 misclassification rate. |
error.0.1 |
0 to 1 misclassification rate. |
Value
a binary vector
Author(s)
Gaye A.
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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