get.obs.pheno: Generates observed outcome data
In agaye/ESPRESSO.ExE: Power Analysis and Sample Size Calculation for a environment-environment interaction model
Description
Usage
Arguments
Value
Author(s)
Description
Adds a set level of error to error free binary or
quantitative data (the true phenotype data) to obtain data
with a larger variance (the observed phenotype data).
Usage
1
2
Arguments
seed
phenotype
outcome status.
pheno.model
distribution of the outcome variable:
binary=0, normal=1
pheno.sd
standard deviation of the outcome in the
study population
pheno.model
distribution of the outcome variable:
binary=0, normal=1 or uniform=2.
pheno.sd
standard deviation of the outcome in the
study the population
pheno.error
misclassification rates: 1-sensitivity
and 1-specificity
pheno.reliability
reliability of the assessment
for a quantitative outcome.
Value
A dataframe containing: true.phenotype the error
free outcome data (true data). observed.phenotype
the true outcome data with some added error (observed
data).
Author(s)
Gaye A.
agaye/ESPRESSO.ExE documentation built on May 10, 2019, 7:30 a.m.
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Description Usage Arguments Value Author(s)
Description
Adds a set level of error to error free binary or quantitative data (the true phenotype data) to obtain data with a larger variance (the observed phenotype data).
Usage
1 2 |
Arguments
seed |
|
phenotype |
outcome status. |
pheno.model |
distribution of the outcome variable: binary=0, normal=1 |
pheno.sd |
standard deviation of the outcome in the study population |
pheno.model |
distribution of the outcome variable: binary=0, normal=1 or uniform=2. |
pheno.sd |
standard deviation of the outcome in the study the population |
pheno.error |
misclassification rates: 1-sensitivity and 1-specificity |
pheno.reliability |
reliability of the assessment for a quantitative outcome. |
Value
A dataframe containing: true.phenotype the error
free outcome data (true data). observed.phenotype
the true outcome data with some added error (observed
data).
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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