DoseFinding (version 0.6-3)

genDFdata: Simulate dose-response data

Description

The function simulates normally distributed dose-response data, according to a prespecified dose-response model (or mean vector) and a given standard deviation.

Usage

genDFdata(model, argsMod, doses, n, sigma, mu = NULL, offset = NULL)

Arguments

model

Character string giving the name of a model function. The first argument of the model function should be the dose variable. See DR-Models for details on the built in dose-response m

argsMod

A vector with the arguments for the model function, see DR-Models for details on the built in dose-response models.

doses

Dose levels to be used.

n

Group sample sizes.

sigma

Standard deviation.

mu

If model is not specified mu is used to determine the mean vector of the observations.

offset

Offset vector. If not equal to NULL, offset is added to the mean of the simulated normal distribution

Value

• A data frame with two columns called dose and resp, corresponding to the dose and simulated response values.

See Also

DR-Models

Examples

# use emax model
genDFdata("emax", c(e0 = 0.2, eMax = 1, ed50 = 0.05), c(0,0.05,0.2,0.6,1), 20, 1)
# use fixed mean vector
genDFdata(mu = 1:5, doses = 0:4, n = c(20, 20, 10, 5, 1), sigma = 0.2)
# use covariates via offset
X <- rbind(runif(100), c(rep(1,20), rep(0,80)))
beta <- c(1,0.3)
offset <- crossprod(X,beta)
genDFdata("emax", c(e0 = 0.2, eMax = 1, ed50 = 0.05),
          c(0,0.05,0.2,0.6,1), 20, 1, offset = offset)