rangePlot: Create Rangeplot Based On Order Function

In dushoff/checkPlots: Tools for visually assessing nominal CI and p-values

Create Rangeplot Based On Order Function

Description

Confidence intervals (CI) consisting of an estimate, upper, and lower limit from Monte-Carlo sampling (given that the statistical hypothesis is true) are arranged according to orderFun and compared with the hypothesized (true) value of the statistic to examine statistical coverage and bias of CI

Usage

rangePlot(
  tf,
  target = "sampleMean",
  orderFun = slug,
  conf = 0.95,
  opacity = 0.2,
  fatten = 0.1,
  title = "Range plot",
  targNum = 1000
)

Arguments

tf	Dataframe with parameter estimate, CI upper and lower limits.
target	scalar, value of statistic under (true) hypothesis, or "sampleMean", default, which calculates the sample mean.
orderFun	one of c(slug, milli, blob), determining the way CI are arranged in the plot
conf	scalar in [0,1], nominal confidence level of simulated CI
opacity	scalar value for alpha
fatten	scalar passed to geom_pointrange
title	character vector for ggtitle
targNum	desired number of lines on graph, for dynamic data thinning

Value

a ggplot object with simulated CI arranged about their target value

dushoff/checkPlots documentation built on Jan. 9, 2025, 11:10 a.m.