GenerateDataFrame: Generating Data Frame
In CP: Conditional Power Calculations
View source: R/GenerateDataFrame.R
GenerateDataFrame 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()
CP documentation built on May 31, 2023, 7:48 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/GenerateDataFrame.R
| GenerateDataFrame | 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()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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