safestats (version 0.8.7)

safeTwoProportionsTest: Perform a Safe Test for Two Proportions with Stream Data

Description

Perform a safe test for two proportions (a 2x2 contingency table test) with a result object retrieved through the design function for planning an experiment to compare two proportions in this package, designSafeTwoProportions().

Usage

safeTwoProportionsTest(
  ya,
  yb,
  designObj = NULL,
  wantConfidenceSequence = FALSE,
  ciValue = NULL,
  confidenceBoundGridPrecision = 20,
  logOddsConfidenceSearchBounds = c(0.01, 5),
  pilot = FALSE
)
safe.prop.test(
  ya,
  yb,
  designObj = NULL,
  wantConfidenceSequence = FALSE,
  ciValue = NULL,
  confidenceBoundGridPrecision = 20,
  logOddsConfidenceSearchBounds = c(0.01, 5),
  pilot = FALSE
)

Value

Returns an object of class 'safeTest'. An object of class 'safeTest' is a list containing at least the following components:

n

The realised sample size(s).

eValue

the e-value of the safe test.

dataName

a character string giving the name(s) of the data.

designObj

an object of class "safeDesign" described in designSafeTwoProportions().

Arguments

ya

positive observations/ events per data block in group a: a numeric with integer values between (and including) 0 and na, the number of observations in group a per block.

yb

positive observations/ events per data block in group b: a numeric with integer values between (and including) 0 and nb, the number of observations in group b per block.

designObj

a safe test design for two proportions retrieved through designSafeTwoProportions().

wantConfidenceSequence

logical that can be set to true when the user wants a safe confidence sequence to be estimated.

ciValue

coverage of the safe confidence sequence; default NULL, if NULL calculated as 1 - designObj[["alpha"]].

confidenceBoundGridPrecision

integer specifying the grid precision used to search for the confidence bounds. Default 20.

logOddsConfidenceSearchBounds

vector of to positive doubles specifying the upper and lower bound of the grid to search over for finding the confidence bound for the logOddsRatio restriction. Default (0.01, 5).

pilot

logical that can be set to true when performing an exploratory analysis without a designObj; only allows for na = nb = 1.

Examples

#balanced design
yb <- c(1,0,1,1,1,0,1)
ya <- c(1,0,1,0,0,0,1)
safeDesign <- designSafeTwoProportions(na = 1,
                                       nb = 1,
                                       beta = 0.20,
                                       delta = 0.6,
                                       alternativeRestriction = "none",
                                       M = 1e1)
safeTwoProportionsTest(ya = ya, yb = yb, designObj = safeDesign)

#pilot
safeTwoProportionsTest(ya = ya, yb = yb, pilot = TRUE)

#unbalanced design
yb <- c(1,0,1,1,1,0,1)
ya <- c(2,2,1,2,0,2,2)
safeDesign <- designSafeTwoProportions(na = 2,
                                       nb = 1,
                                       beta = 0.20,
                                       delta = 0.6,
                                       alternativeRestriction = "none",
                                       M = 1e1)
safeTwoProportionsTest(ya = ya, yb = yb, designObj = safeDesign)