calib_doe: Generate a design of experiment

In NicolasEDubois/anaval: Validation of analytical methods

Description

calib_doe return a DOE in a data.frame where responses is NaN.

Usage

calib_doe(nRun = 3, nCalibCurvesPerRun = 2, nrepCalib = 3,
  ConcVect = c(0, 50, 100, 125, 150, 175, 200))

Arguments

nRun	A positive integer corresponding to the number of analytical run(s). According to CLSI C24, a run is an interval (i.e., a period of time or series of measurements) within which the accuracy and precision of the measuring system is expected to be stable.
nCalibCurvesPerRun	A positive integer corresponding to the number of calibration curve(s) per analytical run.
nrepCalib	A positive integer corresponding to the number of replicate(s).
ConcVect	A vector containing one or several concentration or dilution in a numeric form.

Value

MyDOE (the output) is a data.frame with 6 columns (RunTechnician, ConcentrationLabel, ConcentrationValue, CalibCurve, ReplicateNumber, Responses). Responses column contains onlys NaN at this time and will be filled by simulation or with the experimental results.

Examples

calib_doe(nRun = 2, nCalibCurvesPerRun = 3, nrepCalib = 5,
 ConcVect = c(0,50,100,125,150,175,200))

NicolasEDubois/anaval documentation built on May 7, 2019, 6:18 p.m.