plotStratZV: Plot local z-score variance to assess calibration and...

In ppernot/ErrViewLib: Library for ErrView

Plot local z-score variance to assess calibration and tightness for stratified conditioning variables

Description

Plot local z-score variance to assess calibration and tightness for stratified conditioning variables

Usage

plotStratZV(
  X,
  Z,
  varZ = 1,
  aggregate = TRUE,
  popMin = 100,
  greedy = TRUE,
  plot = TRUE,
  method = c("cho", "bootstrap", "chisq", "auto"),
  BSmethod = c("bca", "perc", "basic"),
  nBoot = 5000,
  parallel = FALSE,
  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
varZ	(numeric) target value for Var(Z) (default '1')
aggregate	(logical) aggregate contiguous strata smaller than popMin (default: TRUE)
popMin	(integer) minimal count in a stratum
greedy	(logical) use greedy algorithm to merge strata (default: TRUE)
plot	(logical) plot the results
method	(string) method used to estimate 95 percent CI on Var(Z)
BSmethod	(string) bootstrap variant
nBoot	(integer) number of bootstrap replicas
parallel	(logical) parallelized bootstrap (default: 'FALSE')
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)
  plotStratZV(X, E/uE, method = 'cho', ylim = c(0,2))

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