ksTest {FSA}  R Documentation 
Performs a one or twosample KolmogorovSmirnov test. Includes the option to perform the twosample 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 
This is exactly ks.test
except that a formula may be used for the twosample situation. The default version is simply a pass through to ks.test
. See ks.test
for more details.
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=rep(c("X","Y"),c(50,30))) ## onesample (from ks.test) still works ksTest(x+2, "pgamma", 3, 2) ks.test(x+2, "pgamma", 3, 2) ## first twosample 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)