ezDiffusion: EZ Diffusion

In mariusbarth/ezDiffusion: The EZ-diffusion model as decribed by Wagenmakers

Description

Calculate the parameters of the EZ diffusion model from mrt, vrt, pc...

Usage

ezDiffusion(proportion_correct, rt_variance, rt_mean, s = 0.1, data)

Arguments

proportion_correct	Character. The name of the variable that contains proportion of correct trials.
rt_variance	Character. The name of the variable that contains the variance of reaction times for correct decisions
rt_mean	Character. The name of the variable that contains the mean of reaction times for correct decisions.
s	Numeric. A scaling constant. Take a look at the literature, because different authors use different scaling constants.
data	A data.frame that conitains the above-specified variables.

Examples

data <- data.frame(
  prop_correct = runif(n = 100, min = 0.2, max = .8)
  , rt_mean = runif(n = 100, min = .2, max = .8)
  , rt_var = runif(n = 100, min = .01, max = .1)
)

ezDiffusion(
  data = data
  , proportion_correct = "prop_correct"
  , rt_variance = "rt_var"
  , rt_mean = "rt_mean"
 )

mariusbarth/ezDiffusion documentation built on May 29, 2019, 3:44 a.m.