ksdist: Simulated Distribution of D[n] (Kolmogorov-Smirnov)
In PASWR2: Probability and Statistics with R, Second Edition
Description
Usage
Arguments
Author(s)
See Also
Examples
Description
Function to visualize the sampling distribution of D[n] (the Kolmogorov-Smirnov one sample statistic) and to find simulated critical values.
Usage
1
ksdist(n = 10, sims = 10000, alpha = 0.05)
Arguments
n
sample size
sims
number of simulations to perform
alpha
desired α level
Author(s)
Alan T. Arnholt <arnholtat@appstate.edu>
See Also
Examples
1
ksdist(n = 10, sims = 15000, alpha =0.05)
PASWR2 documentation built on Sept. 5, 2021, 5:44 p.m.
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Description Usage Arguments Author(s) See Also Examples
Description
Function to visualize the sampling distribution of D[n] (the Kolmogorov-Smirnov one sample statistic) and to find simulated critical values.
Usage
1 | ksdist(n = 10, sims = 10000, alpha = 0.05)
|
Arguments
n |
sample size |
sims |
number of simulations to perform |
alpha |
desired α level |
Author(s)
Alan T. Arnholt <arnholtat@appstate.edu>
See Also
Examples
1 | ksdist(n = 10, sims = 15000, alpha =0.05)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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