DOE_Run_Repl_Conc: Generate the design of experiment for validation studies

In NicolasEDubois/anaval: Validation of analytical methods

Description

Generate the design of experiment for validation studies

Usage

DOE_Run_Repl_Conc(nRun = 3, nreplicates = 2, ConcVect = c(0, 50, 100, 125,
  150, 175, 200), Threshold = "NaN", factorlist = c("RunTechnician",
  "ConcentrationLabel", "ConcentrationValue", "ReplicateNumber", "Status",
  "Response"))

Arguments

nRun	is a numirical scalar corresponding to the number of run(s) sessions that is (are) orginised in the design of experiment.
nreplicates	is a numirical scalar corresponding to the number of replicate in the design of experiment.
ConcVect	is a vector of numerical values corresponding to the concentration (or dilution) in the design of experiment.
Threshold	is a numerical scalar corresponding to the detection limit or the decision limit.
factorlist	is a vector of characters corresponding to the name of the columns of the DOE Do not change!

Value

An output of class 'matrix' which corresponds to the full factorial design of experiment that is run(s) x replicate(s) x concentration level(s).

Examples

DOE_Run_Repl_Conc(nRun = 3, nreplicates = 2, ConcVect = c(0, 50, 100, 125,150, 175, 200 ),
 Threshold='NaN',
 factorlist=c('RunTechnician','ConcentrationLabel',
'ConcentrationValue','ReplicateNumber','Status','Response'))

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