generateDataFiles

Generate simulated data with one start seed for each biomarker and save each test set as separate file

The provided benchmark suite enables the automated evaluation and comparison of any existing and novel indirect method for reference interval ('RI') estimation in a systematic way.
Indirect methods take routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and use sophisticated
statistical methods to derive a model describing the distribution of the non-pathological samples, which can then be
used to derive reference intervals. The benchmark suite contains 5,760 simulated test sets with varying difficulty.
To include any indirect method, a custom wrapper function needs to be provided.
The package offers functions for generating the test sets, executing the indirect method and evaluating the results.
See ?RIbench or vignette("RIbench_package") for a more comprehensive description of the features.
A detailed description and application is described in Ammer T., Schuetzenmeister A., Prokosch H.-U., Zierk J., Rank C.M., Rauh M. "RIbench: A Proposed Benchmark for the Standardized Evaluation of Indirect Methods for Reference Interval Estimation". Clinical Chemistry (2022) <doi:10.1093/clinchem/hvac142>.

Tatjana Ammer

RIbench

Benchmark Suite for Indirect Methods for RI Estimation

Christopher Rank

Andre Schuetzenmeister

generateDataFiles function

<dl><dt>tableTCs</dt>
<dd>(data.frame) containing all information about the simulated test cases</dd>
<dt>outputDir</dt>
<dd>(character) specifying the output directory where the data files should be written to</dd>
<dt>rounding</dt>
<dd>(logical) indicating whether decimal places stated in tableTCs should be applied (default, TRUE), 
if FALSE, data will be rounded to 5 decimal places to mimic unrounded data</dd>
<dt>verbose</dt>
<dd>(logical) indicating if the progress counter should be shown (default: TRUE)</dd></dl>

Arguments

Tatjana Ammer <a href="/link/tatjana.ammer%40roche.com?package=RIbench&version=1.0.2" data-mini-rdoc="RIbench::tatjana.ammer@roche.com">tatjana.ammer@roche.com</a>

Author

Generate simulated data with one start seed for each biomarker and save each test set as separate file — generateDataFiles

<dl>

<dt>tableTCs</dt>
<dd>(data.frame) containing all information about the simulated test cases</dd>


<dt>outputDir</dt>
<dd>(character) specifying the output directory where the data files should be written to</dd>


<dt>rounding</dt>
<dd>(logical) indicating whether decimal places stated in tableTCs should be applied (default, TRUE), 
if FALSE, data will be rounded to 5 decimal places to mimic unrounded data</dd>


<dt>verbose</dt>
<dd>(logical) indicating if the progress counter should be shown (default: TRUE)</dd>

</dl>

Tatjana Ammer <a href='mailto:tatjana.ammer@roche.com'>tatjana.ammer@roche.com</a>

generateDataFiles: Generate simulated data with one start seed for each biomarker and save each test set as separate file

Description

Usage

Value

Arguments

Author