plot-Data-ModelTox-method: Plot of the fitted dose-tox based with a given pseudo DLE...

In Roche/crmPack: Object-Oriented Implementation of CRM Designs

Plot of the fitted dose-tox based with a given pseudo DLE model and data without samples

Description

Plot of the fitted dose-tox based with a given pseudo DLE model and data without samples

Usage

## S4 method for signature 'Data,ModelTox'
plot(
  x,
  y,
  xlab = "Dose level",
  ylab = "Probability of DLE",
  showLegend = TRUE,
  ...
)

Arguments

x	the data of Data class object
y	the model of the ModelTox class object
xlab	the x axis label
ylab	the y axis label
showLegend	should the legend be shown? (default)
...	not used

Value

This returns the ggplot object for the dose-DLE model plot

Examples

## plot the dose-DLE curve given a pseudo DLE model using data without samples
## data must be of 'Data' class
## define the data
data <- Data(
  x = c(25, 50, 50, 75, 100, 100, 225, 300),
  y = c(0, 0, 0, 0, 1, 1, 1, 1),
  ID = 1L:8L,
  cohort = as.integer(c(1, 2, 2, 3, 4, 4, 5, 6)),
  doseGrid = seq(25, 300, 25)
)
## model must be from 'ModelTox' class e.g 'LogisticIndepBeta' class model
## define the model (see LogisticIndepBeta example)
model <- LogisticIndepBeta(
  binDLE = c(1.05, 1.8),
  DLEweights = c(3, 3),
  DLEdose = c(25, 300),
  data = data
)
## plot the dose-DLE curve
## 'x' is the data and 'y' is the model in plot
plot(x = data, y = model)

Roche/crmPack documentation built on April 30, 2024, 3:19 p.m.