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rxChiSquaredTest: Chi-squared Test, Fisher's Exact Test, and Kendall's Tau Rank Correlation Coefficient

  • Artigo

Description

Chi-squared Test, Fisher's Exact Test, and Kendall's Tau Rank Correlation Coefficient

Usage

  rxChiSquaredTest(x, ...)
  rxFisherTest(x, ...)
  rxKendallCor(x, type = "b", seed = NULL, ...)

Arguments

x

an object of class xtabs, rxCrossTabs, or rxCube.

type

character string specifying the version of Kendall's correlation. Supported types are "a", "b" or "c".

seed

seed for random number generator. If NULL, the seed is not set.

...

additional arguments to the underlying function.

Value

an object of class rxMultiTest.

Author(s)

Microsoft Corporation Microsoft Technical Support

See Also

rxMultiTest, rxPairwiseCrossTab, rxRiskRatio, rxOddsRatio.

Examples



 # Create a data frame with admissions data
 Admit <- factor(c(rep('Admitted', 46), rep('Rejected', 668)))
 Gender <- factor(c(rep('M', 22), rep('F', 24), rep('M', 351), rep('F', 317)))
 Admissions <- data.frame(Admit, Gender)

 # For most efficient computations, return an xtabs object from rxCrossTabs
 adminXtabs <- rxCrossTabs(~Admit:Gender, data = Admissions, returnXtabs = TRUE)
 rxChiSquaredTest(adminXtabs)
 rxFisherTest(adminXtabs)
 rxKendallCor(adminXtabs, type = "b")