Description Usage Arguments Value
Fits a probit/cumulative normal model to fake single-subject data.
1 2 |
trash |
A throwaway first argument to allow piping from apply functions like replicate. |
xmin |
A numeric value specifying the minimum stimulus intensity to be presented. |
xmax |
A numeric value specifying the maximum stimulus intensity to be presented. |
n.xlevels |
A numeric value specifying the number of intensity levels
at which stimuli will be presented. Assumes that |
xstep |
Optional numeric value specifying the step size from one intensity
level to the next. If specifying this, do not specify |
mean |
A numeric value specifying the "true mean" of the probit model from which simulated data will be generated. |
sd |
A numeric value specifying the "true standard deviation" of the probit model from which simulated data will be generated. |
trials.per.bin |
A numeric value specifying the number of trials presented PER stimulus intensity bin. |
The estimated mean and standard deviation of the probit model fit to one round of simulated data.
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