Kolmogorov-Smirnov goodness of fit test for cumulative discrete data.
ks_cumtest(x, B = 10000L, prob = NULL)
| x | A vector representing the contingency table. |
|---|---|
| B | The number of simulations used to compute the p-value. |
| prob | A positive vector of the same length as x representing the distribution under the null hypothesis. It will be scaled to sum to 1. If NULL (the default) then a uniform distribution is assumed. |
A list of class "htest" giving the simulation results.
The name of the function might change in the future so keep that in mind!
Simulation is done by random sampling from the null hypothesis.
x <- 1:6 ks_cumtest(x)#> #> One-sample Kolmogorov-Smirnov discrete cumulative goodness-of-fit test #> #> data: #> KS-statistic = 0.21429, p-value = 0.1057 #>