plotStratZM: Plot local z-score mean to assess unbiasedness for stratified...

In ppernot/ErrViewLib: Library for ErrView

Plot local z-score mean to assess unbiasedness for stratified conditioning variables

Description

Plot local z-score mean to assess unbiasedness for stratified conditioning variables

Usage

plotStratZM(
  X,
  Z,
  aggregate = TRUE,
  popMin = 30,
  greedy = TRUE,
  plot = TRUE,
  xlab = "Conditioning variable",
  ylim = NULL,
  title = "",
  label = 0,
  gPars = ErrViewLib::setgPars()
)

Arguments

X	(vector) abscissae of the Z values
Z	(vector) set of z-score values to be tested
aggregate	(logical) aggregate contiguous strata smaller than popMin
popMin	(integer) minimal count in a stratum
greedy	(logical) use greedy algorithm to merge strata (default: TRUE)
plot	(logical) plot the results
xlab	(string) X axis label
ylim	(vector) limits of the y axis
title	(string) a title to display above the plot
label	(integer) index of letter for subplot tag
gPars	(list) graphical parameters

Value

Invisibly returns a list of LZV results. Mainly used for its plotting side effect.

Examples

  uE  = sqrt(rchisq(1000, df = 4))  # Re-scale uncertainty
  E   = rnorm(uE, mean=0, sd=uE)    # Generate errors
  X   = signif(uE,1)
  plotStratZM(X, E/uE, ylim = c(-1,1))

ppernot/ErrViewLib documentation built on June 1, 2024, 4:33 a.m.