Kolmogorov-Smirnov Tests.
Performs a one- or two-sample Kolmogorov-Smirnov test. Includes the option to perform the two-sample test using the formula notation.
ksTest(x, ...)
## Default S3 method:
ksTest(
x,
y,
...,
alternative = c("two.sided", "less", "greater"),
exact = NULL
)
## S3 method for class 'formula'
ksTest(
x,
data = NULL,
...,
alternative = c("two.sided", "less", "greater"),
exact = NULL
)x |
A numeric vector of data values or a formula (see details). |
... |
Parameters of the distribution specified (as a character string) by |
y |
A numeric vector of data values, a character string naming a cumulative distribution function, or an actual cumulative distribution function. See |
alternative |
A string that indicates the alternative hypothesis. See |
exact |
|
data |
A data frame that contains the variables in the formula for |
See ks.test.
Derek H. Ogle, derek@derekogle.com
## see ks.test for other examples
x <- rnorm(50)
y <- runif(30)
df <- data.frame(dat=c(x,y),
grp=factor(rep(c("x","y"),c(50,30))),
stringsAsFactors=FALSE)
## one-sample (from ks.test) still works
ksTest(x+2, "pgamma", 3, 2)
ks.test(x+2, "pgamma", 3, 2)
## first two-sample example in ?ks.test
ksTest(x,y)
ks.test(x,y)
## same as above but using data.frame and formula
ksTest(dat~grp,data=df)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.