ks_cumtest | R Documentation |
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. |
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.
A list of class "htest" giving the simulation results.
Claus Ekstrom <claus@rprimer.dk>
x <- 1:6
ks_cumtest(x)
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