nnt_: Compute the Ratio of Total Tests Performed Per Postive Result
In sgutreuter/screenr: Construction of Binary Test-Screening Rules
View source: R/helper_functions.R
nnt_ R Documentation
Compute the Ratio of Total Tests Performed Per Postive Result
Description
nnt_ computes the anticipated average number of
tests performed in order to observe a positive test result.
Usage
nnt_(dframe)
Arguments
dframe
a dataframe containing columns sensitivities,
specificities and prev.
Value
nnt_ returns adataframe containing sensitivity,
specificity, the anticipated
average number of tests required to observe a single positive test
result ntpp, and the prevalence among those screened out
of testing pre_untested.
sgutreuter/screenr documentation built on Nov. 20, 2022, 2:41 a.m.
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View source: R/helper_functions.R
| nnt_ | R Documentation |
Compute the Ratio of Total Tests Performed Per Postive Result
Description
nnt_ computes the anticipated average number of
tests performed in order to observe a positive test result.
Usage
nnt_(dframe)
Arguments
dframe |
a dataframe containing columns |
Value
nnt_ returns adataframe containing sensitivity,
specificity, the anticipated
average number of tests required to observe a single positive test
result ntpp, and the prevalence among those screened out
of testing pre_untested.
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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