ksnormal: Kolmogorov-Smirnov-Test against Normal distribution
In wrappedtools: Useful Wrappers Around Commonly Used Functions
ksnormal R Documentation
Kolmogorov-Smirnov-Test against Normal distribution
Description
ksnormal is a convenience function around ks.test, testing against
Normal distribution
Usage
ksnormal(x)
Arguments
x
Vector of data to test.
Value
p.value from ks.test.
Examples
# original ks.test:
ks.test(
x = mtcars$wt, pnorm, mean = mean(mtcars$wt, na.rm = TRUE),
sd = sd(mtcars$wt, na.rm = TRUE)
)
# wrapped version:
ksnormal(x = mtcars$wt)
wrappedtools documentation built on Sept. 24, 2023, 5:06 p.m.
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| ksnormal | R Documentation |
Kolmogorov-Smirnov-Test against Normal distribution
Description
ksnormal is a convenience function around ks.test, testing against
Normal distribution
Usage
ksnormal(x)
Arguments
x |
Vector of data to test. |
Value
p.value from ks.test.
Examples
# original ks.test:
ks.test(
x = mtcars$wt, pnorm, mean = mean(mtcars$wt, na.rm = TRUE),
sd = sd(mtcars$wt, na.rm = TRUE)
)
# wrapped version:
ksnormal(x = mtcars$wt)
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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