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

[アーティクル]
07/15/2019

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

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")

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