GenerateDataFrame {CP} | R Documentation |

##
Generating Data Frame

### Description

Generates a data frame for conditional power calculations.

### Usage

GenerateDataFrame()

### Details

This function generates a data frame for
testing the conditional power calculating functions.

Its data is generated by random in the following way:

The number of all patients is a realization of
a Poisson distributed random variable with parameter 200.

The probability of censoring is a realization of
a uniform distributed random variable of the interval from 0.4 to 0.6,
one random variable for each of the two groups 'A' and 'B'.

The patients are randomized to group 'A' or 'B'
each with probability 0.5.

The status (1 = event, 0 = censored) is a realization of
a Bernoulli random variable with parameter (1 - probability of being censored).

The event time is a realization of
an exponential random variable
with parameter (1 - probability of being censored).

### Value

This function returns a data frame consisting of three columns:
the group ('A' or 'B') in the first ('group'),
the status (o or 1) in the second ('stat')
and the event time in the third column ('time').

### Note

Of course, this is only one and also a quiet simple way of
generating data frames for interim analysis.
Such a generated data frame should be more an aid to get to know
the conditional power caluclating functions
than simulating realistic data.

### Author(s)

Andreas Kuehnapfel

### See Also

`CP`

`test`

### Examples

# generate a data frame
data <- GenerateDataFrame()

[Package

*CP* version 1.6

Index]