View source: R/efftox_contour_plot.R
efftox_contour_plot | R Documentation |
Plot EffTox utility contours. The probability of efficacy is on the x-axis and toxicity on the y-axis. The zero-utility curve is plotted bolder. The three "hinge points" are plotted as blue triangles. Optional Prob(Efficacy) vs Prob(Toxicity) points can be added; these are shown as red numerals, enumerated in the order provided.
efftox_contour_plot(
fit,
use_ggplot = FALSE,
prob_eff = fit$prob_eff,
prob_tox = fit$prob_tox,
num_points = 1000,
util_vals = seq(-3, 3, by = 0.2)
)
fit |
An instance of |
use_ggplot |
logical, TRUE to use ggplot2. Defaults to FALSE to use standard R graphics. |
prob_eff |
vector of numbers between 0 and 1, containing the efficacy probabilities of extra points to add to the plot as points, e.g. the posterior mean efficacy probabilities of the doses under investigation. Paired with prob_tox, thus they should be the same length. Defaults to the values fitted by the model. Use NULL to supress. |
prob_tox |
vector of numbers between 0 and 1, containing the toxicity probabilities of extra points to add to the plot as points, e.g. the posterior mean toxicity probabilities of the doses under investigation. Paired with prob_eff, thus they should be the same length. Defaults to the values fitted by the model. Use NULL to supress. |
num_points |
integer for number of points to calculate on each curve. The default is 1000 and this should be plenty. |
util_vals |
A contour is plotted for each of these utility values.
The default is contours spaced by 0.2 between from -3 and 3,
i.e. |
if use_ggplot = TRUE
, an instance of ggplot
; else no
object is returned. Omit assignment in either case to just view the plot.
stan_efftox
fit <- stan_efftox_demo(outcome_str = '1N 2E 3B')
efftox_contour_plot(fit)
title('EffTox utility contours')
# The same with ggplot2
efftox_contour_plot(fit, use_ggplot = TRUE) +
ggplot2::ggtitle('EffTox utility contours')
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