Rho (kappa)

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

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

Arguments

Value

See also