funnel4: Core funnel and slice plot generator

In gmp26/funnel: Provides a function which plots mortality data in funnels or slices

Description

funnel4 This function makes funnel plots or sliced funnel plots from a data frame like cabg of mortality data for a number of hospital cases.

Usage

funnel4(obs.prop = NA, denom = NA, pred.prop = NA, names = NA,
  plot = "funnel", rank = "none", riskadj = F, RASRplot = F,
  ratedenom = NA, mean.target = T, target = NA, plot.target = F,
  title = "", scale = 0.7, xrange = c(0, 1000), yrange = c(0, 1),
  tails = c(0.001, 0.025), Npoints = 200, xlab = "", ylab = "",
  pointsymbol = 16, legend = 1, ypercent = T, bandcols = c("white",
  "lightblue", "azure"))

Arguments

obs.prop	A data frame of mortality observations from a number of hospitals.
denom	Number of cases
pred.prop	Predicted survival proportion
names	Names of hospitals
plot	The plot type
rank	The plot order - by "precision" or alphabetically by "name"
riskadj	Make a risk adjusted plot if TRUE
RASRplot	Work with risk adjusted mortality data if TRUE, else raw mortality rates
ratedenom	Unused
mean.target	Calculate target from mean
target	Given target
plot.target	Plot target if TRUE
title	The plot target
scale	Axis scale
xrange	x axis range
yrange	y axis range
tails	A pair of p-values determining the inner and outer confidence limits (?)
Npoints	The number of bernouilli trials used in an integer binomial approximation (?)
xlab	x axis label
ylab	y axis label
pointsymbol	NUmeric code identifying the plot symbol
legend	Use legend if TRUE
ypercent	Show survival as percentage if true
bandcols	Vector of colours used in bars

See Also

funnelslice

gmp26/funnel documentation built on May 17, 2019, 7:28 a.m.