confidenceCurves (version 0.2.0)

testConfidenceCurves: Test confidence curves

Description

A short function to test makeConfidenceCurves for binary data

Usage

testConfidenceCurves(
  num.ctrl = 50,
  num.trmt = 50,
  vary.ctrl = seq(16, 20, by = 2),
  vary.trmt = seq(26, 30, by = 2),
  vary.lmb = c(-0.05, -0.1),
  estimate.type = "odds ratio",
  return.plot = TRUE,
  save.plot = FALSE,
  directory = "./test"
)

Value

Returns a dataframe

Arguments

num.ctrl

Number of subjects in control group. Default is 50.

num.trmt

Number of subjects in treatment group. Default is 50.

vary.ctrl

List of numbers to vary response in control group. Default is c(16, 18, 20).

vary.trmt

List of numbers to vary response in treatment group. Default is c(26, 28,30).

vary.lmb

List of numbers to vary definition of meaningful benefit. Default is c(-0.05, -0.1).

estimate.type

Type of estimator, options are "risk difference" and "odds ratio" (default).

return.plot

Return and print the CFD plot. TRUE (default) or FALSE.

save.plot

Save the family of confidence curves to directory. TRUE or FALSE (default).

directory

Location to save images. Default is './test'.

Examples

# to fix control and treatment responders
testConfidenceCurves(vary.lmb = c(-0.05, -0.1), vary.ctrl = c(18), vary.trmt = c(28))
# to run without showing plots
testConfidenceCurves(
vary.lmb = c(-0.05, -0.1),
vary.ctrl = c(18),
vary.trmt = c(28),
return.plot=FALSE)