ADTest: Anderson-Darling Test
In Rita: Automated Transformations, Normality Testing, and Reporting
ADTest R Documentation
Anderson-Darling Test
Description
This function computes the one-sample Anderson-Darling test statistic and p-value
for fit to a normal distribution.
Usage
ADTest(data, alpha = 0.05, j = 1)
Arguments
data
Data of a univariate distribution for which the test statistic is computed
(vector)
alpha
The two-sided decision threshold used for hypothesis-testing
j
The # hypotheses tested; used to compute a Bonferonni correction, if applicable;
should remain at its default if multiple testing is not an issue (scalar)
Details
An adjusted statistic provided by D'agostino & Stephens (1986) is used,
where the mean and variance of the population are treated as unknown. D'agostino & Stephen's (1986)
text provides the equations used to obtain the function's p-values.
Value
An object including the test statistic, p-value, and a significance flag (list)
References
D'agostino, R. B., & Stephens, M. A. (1986). Goodness-of-fit-techniques (Vol. 68). CRC press.
Examples
values <- rnorm(100)
x <- ADTest(data = values)
Rita documentation built on March 18, 2022, 6:36 p.m.
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| ADTest | R Documentation |
Anderson-Darling Test
Description
This function computes the one-sample Anderson-Darling test statistic and p-value for fit to a normal distribution.
Usage
ADTest(data, alpha = 0.05, j = 1)
Arguments
data |
Data of a univariate distribution for which the test statistic is computed (vector) |
alpha |
The two-sided decision threshold used for hypothesis-testing |
j |
The # hypotheses tested; used to compute a Bonferonni correction, if applicable; should remain at its default if multiple testing is not an issue (scalar) |
Details
An adjusted statistic provided by D'agostino & Stephens (1986) is used, where the mean and variance of the population are treated as unknown. D'agostino & Stephen's (1986) text provides the equations used to obtain the function's p-values.
Value
An object including the test statistic, p-value, and a significance flag (list)
References
D'agostino, R. B., & Stephens, M. A. (1986). Goodness-of-fit-techniques (Vol. 68). CRC press.
Examples
values <- rnorm(100) x <- ADTest(data = values)
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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