ks.test(x, y, ..., alternative = "two.sided")
x
| a numeric vector of data values. |
y
| either a numeric vector of data values, or a character string naming a distribution function. |
...
|
parameters of the distribution specified by y .
|
alternative
|
indicates the alternative hypothesis and must be one
of "two.sided" , "greater" or "less" . You can
specify just the initial letter.
|
ks.test
performs one or two sample Kolmogorov-Smirnov tests.
If y
is numeric, a two sample test of the null that x
and y
were drawn from the same distribution is performed.
Alternatively, y
can be a character string naming a
distribution function. In this case, a one sample test of the null
that the distribution function underlying x
is y
with
parameters specified by ...{} is carried out.
"htest"
containing the following components:
statistic
| the value of the test statistic. |
p.value
| the p-value of the test. |
alternative
| a character string describing the alternative hypothesis. |
method
| a character string indicating what type of test was performed. |
data.name
| a character string giving the name(s) of the data. |
x <- rnorm(50) y <- runif(30) # Do x and y come from the same distribution? ks.test(x, y) # Does x come from a gamma distribution with shape 3 and scale 2? ks.test(x, "pgamma", 3, 2)