tcplAddModel draws a a line for one of the tcpl Models (see
Models for more information) onto an existing plot.
List of parameters from level 4 or 5 output
Character of length 1, the model to plot: 'cnst,' 'hill,' or 'gnls'
Numeric of length 1, an adjustment factor, see details for more information
Additional arguments passed to
tcplAddModel draws the model line assuming the x-axis represents log
base 10 concentration.
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
1/(3*bmad) for level 4 data and
1/coff for level
5 data. If
adj is NULL the function will check
adj to 1 if
pars$adj is also NULL.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## Create some dummy data to plot logc <- 1:10 r1 <- sapply(logc, tcplHillVal, ga = 5, tp = 50, gw = 0.5) r2 <- log2(sapply(logc, tcplHillVal, ga = 4, tp = 30, gw = 0.5)) p1 <- tcplFit(logc = logc, resp = r1, bmad = 10) p2 <- tcplFit(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") tcplAddModel(pars = p1, modl = "hill") points(r2 ~ logc) tcplAddModel(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") tcplAddModel(pars = p1, modl = "hill", adj = 1/10) points(r2/log2(5) ~ logc) tcplAddModel(pars = p2, modl = "hill", adj = 1/log2(5), lty = "dashed")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.