PsySimulate: Simulate psychophysical data
In MixedPsy: Statistical Tools for the Analysis of Psychophysical Data

Description Usage Arguments Value Examples

View source: R/PsySimulate.R

Given the arrays of fixed and random effects, as well as the covariance, and the characteristic of the simulated experiment (i.e., ) the function simulates a dataset in which for each subject the following information is provided: the slope and intercept value of the psychometric function, and the simulated responses to the stimulus levels that fit that function.

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PsySimulate(fixeff = c(-7, 0.0875), raneff = c(2.4, -0.002, 2e-06),
  nsubjects = 8, pps = 9, ntrials = 40, xint = c(40, 120),
  constant = F)

`fixeff`	Array of fixed effects. First item is the intercept, second item is the slope.
`raneff`	Array of random effects. First item is the intercept, second item is the covariance, third item is the slope.
`nsubjects`	Number of subjects to simulate data for. Default is 8.
`pps`	Number of stimulus levels. Default is 9.
`ntrials`	Number of trials for each stimulus level. Default is 40.
`xint`	Range of the stimulus interval. Default is c(40,120)
`constant`	If set to FALSE, stimulus levels are randomly generated, uniformly distributed values within the selected interval. If constant = TRUE, the X interval is divided in intervals of constant length. Default is FALSE.