ksLdist: Simulated Lilliefors' Test of Normality Values
In PASWR: Probability and Statistics with R
ksLdist R Documentation
Simulated Lilliefors' Test of Normality Values
Description
Function to visualize the sampling distribution of D[n] (the Kolmogorov-Smirnov one sample statistic) for simple and composite hypotheses
Usage
ksLdist(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
ksdist
Examples
ksLdist(n = 10, sims = 1500, alpha = 0.05)
PASWR documentation built on May 15, 2022, 5:05 p.m.
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| ksLdist | R Documentation |
Simulated Lilliefors' Test of Normality Values
Description
Function to visualize the sampling distribution of D[n] (the Kolmogorov-Smirnov one sample statistic) for simple and composite hypotheses
Usage
ksLdist(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
ksdist
Examples
ksLdist(n = 10, sims = 1500, 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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