kstest: Kolmogorov-Smirnov Test

In JVAdams/jvamisc: A Collection of Utility Functions

Description

Conduct a two-sample Kolmogorov-Smirnov test and output detailed information on the results, including a plot of the distributions.

Usage

kstest(
  x,
  y,
  ids = c("X", "Y"),
  leg.loc = "right",
  txt.loc = "left",
  cexall = 0.8,
  cexmain = 0.8
)

Arguments

x	A numeric vector representing the values from the first distribution.
y	A numeric vector representing the values from the second distribution.
ids	A character vector of length 2 assigning names to the two distributions.
leg.loc	A character scalar denoting the location of the legend, specified as one of the following: "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right" (the default) and "center".
txt.loc	A character scalar denoting the location of additional text, either "left" (the default) or "right".
cexall	A numeric scalar giving the amount by which plotting text and symbols should be magnified, default 0.8.
cexmain	A numeric scalar giving the amount by which the main text heading should be magnified, default 0.8.

Value

A two panel plot of the smoothed probability and cumulative distributions is generated with a vertical line at the maximum distance and a summary of the Kolmogorov-Smirnov test annotated on the plot.

See Also

ks.test.

Examples

myX <- rnorm(50, mean=3)
myY <- rnorm(20, mean=4)
kstest(x=myX, y=myY)

JVAdams/jvamisc documentation built on Aug. 11, 2021, 6:43 a.m.