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Rho (kappa)

Source: R/rhoK.R
rhoK.Rd

This function calculates rho for an observed kappa value with associated set parameters (testSetLength and OcSBaserate). Called by rho. A p-value is returned and if this value is less than 0.05, it is said that the handset does generalize to the entire set

Usage

rhoK(
  x,
  OcSBaserate,
  testSetLength,
  testSetBaserateInflation = 0,
  OcSLength = 10000,
  replicates = 800,
  ScSKappaThreshold = 0.9,
  ScSKappaMin = 0.4,
  ScSPrecisionMin = 0.6,
  ScSPrecisionMax = 1,
  method = "standard"
)

Arguments

x

The observed kappa value, testSet or contingencyTable that will be tested with rho

OcSBaserate

The baserate of the observed codeSet (defaults to baserate of testSet or contingencyTable)

testSetLength

The length of the testSet (ignored unless data is an observed kappa value)

testSetBaserateInflation

The minimum baserate from the sampling procedure

OcSLength

The length of the observed codeSet

replicates

The number of simulated codeSets to use in the null hypothesis distribution for rho; similar to replicates in a Monte Carlo study

ScSKappaThreshold

The maximum kappa value used to generate simulated codeSets in the null hypothesis distribution for rho

ScSKappaMin

The minimum kappa value used to generate simulated codeSets in the null hypothesis distribution for rho

ScSPrecisionMin

The minimum precision to be used for generation of simulated codeSets in the null hypothesis distribution for rho

ScSPrecisionMax

The maximum precision to be used for generation of simulated codeSets in the null hypothesis distribution for rho,

method

set to "c" to calculate using the C++ implmentation. Defaults to "standard"

Value

rho for the given parameters

rho for the given parameters

See also

rho