plotStratRCE: Plot local RCE to assess calibration and tightness for...

View source: R/plotStratZV.R

plotStratRCER Documentation

Plot local RCE to assess calibration and tightness for stratified conditioning variables

Description

Plot local RCE to assess calibration and tightness for stratified conditioning variables

Usage

plotStratRCE(
  X,
  uE,
  E,
  aggregate = TRUE,
  popMin = 30,
  greedy = TRUE,
  plot = TRUE,
  nBoot = 5000,
  parallel = FALSE,
  xlab = "Conditioning variable",
  ylim = NULL,
  title = "",
  label = 0,
  gPars = ErrViewLib::setgPars()
)

Arguments

X

(vector) abscissae of the Z values

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

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

Z

(vector) set of z-score values to be tested

varZ

(numeric) target value for Var(Z) (default '1')

method

(string) method used to estimate 95 percent CI on Var(Z)

BSmethod

(string) bootstrap variant

Value

Invisibly returns a list of RCE 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)
  plotStratRCE(X, uE, E, ylim = c(-1,1))


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