Plot the measured concentration (or dilution) vs a variable defined by the user.
1 2 | bivariate_plot(Ds, YResp = "MeasuredConcentration",
YLongName = "Measured response")
|
Ds |
is a data.frame with 6 columns (RunTechnician, ConcentrationLabel, ConcentrationValue, CalibCurve, ReplicateNumber, Responses). Or a matrix with 7 columns (RunTechnician, ConcentrationLabel, ConcentrationValue, ReplicateNumber, Status, Responses, MeasuredConcentration). Responses column might have been filled by simulation or with the experimental results. |
YResp |
a string of character corresponding to the name of the y axis. |
YLongName |
a string of character corresponding to the label of the y axis (the measured concentration). @examples monDOE = 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')) TPL <- norm_lin_dataset_sim(monDOE, intercept = 1, slope = 2, SDrun=1.5, SDrep=3, biais = 0) bivariate_plot(TPL) monDOE = DOE_Run_Repl_Conc(nRun = 7, nreplicates = 2, ConcVect = c(0, 50, 100, 125,150, 175, 200 ), Threshold='NaN', factorlist=c('RunTechnician','ConcentrationLabel','ConcentrationValue','ReplicateNumber','Status','Response')) TPL <- norm_lin_dataset_sim(monDOE, intercept = 1, slope = 2, SDrun=1.5, SDrep=3, biais = 0) bivariate_plot(TPL) |
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