getDataset {rpact}R Documentation

Get Dataset

Description

Creates a dataset object and returns it.

Usage

getDataset(..., floatingPointNumbersEnabled = FALSE)

Arguments

...

A data.frame or some data vectors defining the dataset.

floatingPointNumbersEnabled

If TRUE, sample sizes can be specified as floating-point numbers (in general this only make sense for simulation purposes);
by default floatingPointNumbersEnabled = FALSE, i.e., samples sizes defined as floating-point numbers will be truncated.

Details

The different dataset types DatasetMeans, of DatasetRates, or DatasetSurvival can be created as follows:

Prefix overall[Capital case of first letter of variable name]... for the variable names enables entering the overall results and calculates stagewise statistics.

Note that in survival design usually the overall events and logrank test statistics are provided in the output, so
getDataset(overallEvents=, overallLogRanks =, overallAllocationRatios =)
is the usual command for entering survival data. Note also that for overallLogranks also the z scores from a Cox regression can be used.

n can be used in place of samplesizes.

Value

Returns a Dataset object.

Examples


# Create a Dataset of Means (one group):

datasetOfMeans <- getDataset(
	   n = c(22, 11, 22, 11),
	   means = c(1, 1.1, 1, 1),
	   stDevs = c(1, 2, 2, 1.3)
)
datasetOfMeans
datasetOfMeans$show(showType = 2)

datasetOfMeans <- getDataset(
	   overallSampleSizes = c(22, 33, 55, 66),
	   overallMeans = c(1.000, 1.033, 1.020, 1.017 ),
	   overallStDevs = c(1.00, 1.38, 1.64, 1.58)
)
datasetOfMeans
datasetOfMeans$show(showType = 2)
as.data.frame(datasetOfMeans)

# Create a Dataset of Means (two groups):

datasetOfMeans <- getDataset(
	   n1 = c(22, 11, 22, 11),
	   n2 = c(22, 13, 22, 13),
	   means1 = c(1, 1.1, 1, 1),
	   means2 = c(1.4, 1.5, 3, 2.5),
	   stDevs1 = c(1, 2, 2, 1.3),
	   stDevs2 = c(1, 2, 2, 1.3)
)
datasetOfMeans

datasetOfMeans <- getDataset(
	   overallSampleSizes1 = c(22, 33, 55, 66),
	   overallSampleSizes2 = c(22, 35, 57, 70),
	   overallMeans1 = c(1, 1.033, 1.020, 1.017),
	   overallMeans2 = c(1.4, 1.437, 2.040, 2.126),
	   overallStDevs1 = c(1, 1.38, 1.64, 1.58),
	   overallStDevs2 = c(1, 1.43, 1.82, 1.74)
)
datasetOfMeans

df <- data.frame(
	   stages = 1:4,
	   n1 = c(22, 11, 22, 11),
	   n2 = c(22, 13, 22, 13),
	   means1 = c(1, 1.1, 1, 1),
	   means2 = c(1.4, 1.5, 3, 2.5),
	   stDevs1 = c(1, 2, 2, 1.3),
	   stDevs2 = c(1, 2, 2, 1.3)
)
datasetOfMeans <- getDataset(df)
datasetOfMeans

## Create a Dataset of Rates (one group):

datasetOfRates <- getDataset(
	   n = c(8, 10, 9, 11), 
	   events = c(4, 5, 5, 6)
)
datasetOfRates

## Create a Dataset of Rates (two groups):

datasetOfRates <- getDataset(
	   n2 = c(8, 10, 9, 11),
	   n1 = c(11, 13, 12, 13),
	   events2 = c(3, 5, 5, 6),
	   events1 = c(10, 10, 12, 12)
)
datasetOfRates


## Create a Survival Dataset

dataset <- getDataset(
    overallEvents = c(8, 15, 19, 31),
	   overallAllocationRatios = c(1, 1, 1, 2),
	   overallLogRanks = c(1.52, 1.98, 1.99, 2.11)
)
dataset


[Package rpact version 1.0.0 Index | www.rpact.org]