generateData: Generate Simulation Data of Up-and-Down Experiment
In ed50simulation: Estimate ED50 and Its Confidence Interval

Description Usage Arguments Value Examples

View source: R/generateData.R

The function is used to generate simulation data of up-and-down experiment, and provide three cases that tolerance distribution obeys normal, triangle or chi-square distribution.

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generateData(number, useTurPoint = F, start, doseStep = 1,
  distribution = c("Normal", "Triangle", "Chi-square"), normalMean = 0,
  normalStd = 1, triMean = 0, triWidth = 2, chiDegree = 1)

`number`	The number of experiments in a trail.
`useTurPoint`	A logical value indicating whether the parameter `number` refers to the amount of turning points. The default value is `F`.
`start`	The first dose level given in this trail.
`doseStep`	A fix value that represents the difference between two adjacent dose levels.
`distribution`	The tolerance distribution, including normal, triangle and chi-square distribution, and the default distribution is N(0, 1).
`normalMean`	Parameter mean of normal distribution, the default value is 0.
`normalStd`	Parameter std of normal distribution, the default value is 1.
`triMean`	Parameter mean of triangle distribution, the default value is 0.
`triWidth`	Parameter width of triangle distribution, the default value is 2.
`chiDegree`	Parameter degree of freedom of chi-square distribution, the default value is 1.

A data frame.

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library(ed50simulation)
generateData(number = 20, start = 2, doseStep = 0.2, distribution = 'Normal')
generateData(number = 40, start = 2, doseStep = 0.2, distribution = 'Chi-square')