gtoxAddModel: Draw a gtox Model onto an exisiting plot
In GladiaTOX: R Package for Processing High Content Screening data

Description Usage Arguments Details Value See Also Examples

gtoxAddModel draws a line for one of the gtox Models (see Models for more information) onto an existing plot.

1	gtoxAddModel(pars, modl = NULL, adj = NULL, ...)

`pars`	List of parameters from level 4 or 5 output
`modl`	Character of length 1, the model to plot: 'cnst,' 'hill,' or 'gnls'
`adj`	Numeric of length 1, an adjustment factor, see details for more information
`...`	Additional arguments passed to `curve`

gtoxAddModel draws the model line assuming the x-axis represents log base 10 concentration.

If modl is NULL, the function checks pars$modl and will return an error if pars$modl is also NULL.

adj is intended to scale the models, so that models with different response units can be visualized on a single plot. The recommended value for adl is 1/(3*bmad) for level 4 data and 1/coff for level 5 data. If adj is NULL the function will check pars$adj and set adj to 1 if pars$adj is also NULL.

None

Models, gtoxPlotFits

## Create some dummy data to plot
logc <- 1:10
r1 <- sapply(logc, gtoxHillVal, ga = 5, tp = 50, gw = 0.5)
r2 <- log2(sapply(logc, gtoxHillVal, ga = 4, tp = 30, gw = 0.5))
p1 <- gtoxFit(logc = logc, resp = r1, bmad = 10)
p2 <- gtoxFit(logc = logc, resp = r2, bmad = log2(1.5))

## In the dummy data above, the two plots are on very different scales
plot(r1 ~ logc, pch = 16, ylab = "raw response")
gtoxAddModel(pars = p1, modl = "hill")
points(r2 ~ logc)
gtoxAddModel(pars = p2, modl = "hill", lty = "dashed")

## To visualize the two curves on the same plot for comparison, we can
## scale the values to the bmad, such that a scaled response of 1 will equal
## the bmad for each curve.
plot(r1/10 ~ logc, pch = 16, ylab = "scaled response")
gtoxAddModel(pars = p1, modl = "hill", adj = 1/10)
points(r2/log2(5) ~ logc)
gtoxAddModel(pars = p2, modl = "hill", adj = 1/log2(5), lty = "dashed")