bivariate_plot: Plot the measured concentration (or dilution) vs a variable...

Description Usage Arguments

View source: R/graph.R

Description

Plot the measured concentration (or dilution) vs a variable defined by the user.

Usage

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bivariate_plot(Ds, YResp = "MeasuredConcentration",
  YLongName = "Measured response")

Arguments

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)


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