plotSamples: Scatter plot for parallel line models
In pla: Parallel Line Assays

Description Usage Arguments Details Value Author(s)

Make one scatter plot of the samples in a parallel line assay, with fitted models.

plotSamples(dataframe,
            LMfits,
            sampleLabels = levels(unlist(dataframe["Sample"])),
            indexOfReference = 1,
            pdfName = "SpecifiedModel.pdf",
            joinReplicates = TRUE,
            showRho = TRUE,
            xlab = "Log(Dosis)",
            ylab = "Response: Response",
            pch = 14 + as.numeric(unlist(dataframe["Replicate"])),
            cex = 2,
            lwd = 4,
            colTst = "black",
            colRef = "grey",
            colRho = "grey80",
            main = "Parallel Line Model",
            sub = "Specified Model")

`dataframe`	The data.frame with relevant variables (`Replicate`, `Response`, `indexOfTreatment`, `Z`, and `Zjitter`), created by jitterSteps in pla.plots.
`LMfits`	Result of lm with relevant regression coefficients. Fitted values, intercepts and slopes are extracted from this model.

`sampleLabels`	See pla.plots.
`indexOfReference`	See pla.plots.
`pdfName`	See pla.plots.
`joinReplicates`	If `TRUE` the samples from same block or row are joined by lines in the plots for unrestricted models, i.e. for the models with dilution as a factor.
`showRho`	If `TRUE` then the potency is displayed in the plot for the restricted model.
`xlab`	A character string giving the title on horizontal axis of the plot.
`ylab`	A character string giving the title on vertical axis of the plot.
`pch`	Vector of symbols for plot, par.
`cex`	See par about size of characters for plot.
`lwd`	See par about line width for plot.
`colTst`	See pla.plots.
`colRef`	See pla.plots.
`colRho`	See pla.plots.
`main`	See pla.plots.
`sub`	See pla.plots.