# ksTest: Kolmogorov-Smirnov Tests. In FSA: Simple Fisheries Stock Assessment Methods

## Description

Performs a one- or two-sample Kolmogorov-Smirnov test. Includes the option to perform the two-sample test using the formula notation.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19``` ```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 ) ```

## Arguments

 `x` A numeric vector of data values or a formula (see details). `...` Parameters of the distribution specified (as a character string) by `y`. `y` A numeric vector of data values, a character string naming a cumulative distribution function, or an actual cumulative distribution function. See `ks.test`. `alternative` A string that indicates the alternative hypothesis. See `ks.test`. `exact` `NULL` or a logical that indicates whether an exact p-value should be computed. See `ks.test`. Not available if ties are present, nor for the one-sided two-sample case. `data` A data frame that contains the variables in the formula for `x`.

## Details

This is exactly `ks.test` except that a formula may be used for the two-sample situation. The default version is simply a pass through to `ks.test`. See `ks.test` for more details.

## Value

See `ks.test`.

## Author(s)

Derek H. Ogle, derek@derekogle.com

`ks.test`.
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17``` ```## 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) ```