kepner_robinson_test_internal {pseudorank}R Documentation

Kepner-Robinson Test

Description

This function calculates the Kepner-Robinsin test under the null hypothesis H0F: F_1 = ... F_k.

Usage

kepner_robinson_test_internal(
  data,
  time,
  subject,
  distribution,
  na.rm,
  formula = NULL,
  ...
)

Arguments

data

numeric vector containing the data

time

factor vector containing time points

subject

factor vector containing subjects

distribution

specified distribution, either Chisq or F

na.rm

a logical value indicating if NA values should be removed

formula

formula object

...

further arguments are ignored

Value

Returns a data.frame with the results

References

Kepner, J. L., & Robinson, D. H. (1988). Nonparametric methods for detecting treatment effects in repeated-measures designs. Journal of the American Statistical Association, 83(402), 456-461.

Examples

# create some artificial data with 20 subjects measured at two time points
data <- rnorm(40)
time <- rep(c(1,2),20)
subject <- gl(20,2)
df <- data.frame(data=data,time=time,subject=subject)

kepner_robinson_test(data,time,subject)
kepner_robinson_test(data~time,data=df,subject="subject")

[Package pseudorank version 1.0.4 Index]