Probability of making a "difference" decision as a function of the most extreme x value and evidence scale

fig_evidence_scale_logistic_x(pval = 0.05, seed = 1, shift_y = 0.2,
  around_y = 0.1, jitter_y = around_y/4, filter_func = function(data,
  ...) return(data))

Arguments

pval

vector of p values at which to indicate the scale of the respective null sampling distribution

seed

random seed for jitter of points

shift_y

How far above/below the main graph to put the middle of the "scatter" plots

around_y

How far above/below the middle of the "scatter" plots to put the points

jitter_y

How much to jutter the points in the y direction

filter_func

function to filter the data before plotting

Value

Invisibly returns the corresponding GLM test result

Examples

fig_evidence_scale_logistic_x()