genlognormaldata {BayesCTDesign} | R Documentation |
Generating function for Lognormal Data.
Description
genlognormaldata()
function used mainly internally by
lognormaltrialsimulator()
and lognormaltrialsimulatornohist()
functions
to generate data for a two-arm clinical trial, experimental and control groups.
Can be used to generate random trial data.
Usage
genlognormaldata(sample_size, mu1, mean_ratio, common_sd, censor_value)
Arguments
sample_size |
Number of subjects per arm. |
mu1 |
meanlog parameter used in call to |
mean_ratio |
Desired Mean Ratio between experimental and control groups. |
common_sd |
sdlog parameter used in call to |
censor_value |
Value at which time-to-event data are right censored. |
Value
genlognormaldata()
returns a data frame with columns: 'id', 'treatment',
'event_time', and 'status'.
Examples
samplehistdata <- genlognormaldata(sample_size=60, mu1=1.06, mean_ratio=0.6,
common_sd=1.25, censor_value=3)
samplehistdata
[Package BayesCTDesign version 0.6.1 Index]