check.ANOVA.assumptions: Check basic ANOVA assumptions
In ScottKnottESD: The Scott-Knott Effect Size Difference (ESD) Test
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Check the normality assumption of the input dataset using the Kolmogorov-Smirnov Test and the homogeneity of variances assumption of the input dataset using the Levene's test.
Usage
1
check.ANOVA.assumptions(x, alpha = 0.05, ...)
Arguments
x
A wide-format data frame.
alpha
The significance level.
...
Optional parameters.
Value
A wide-format data frame.
Author(s)
Chakkrit Tantithamthavorn (kla@chakkrit.com)
Examples
1
ScottKnottESD documentation built on May 2, 2019, 4:01 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Check the normality assumption of the input dataset using the Kolmogorov-Smirnov Test and the homogeneity of variances assumption of the input dataset using the Levene's test.
Usage
1 | check.ANOVA.assumptions(x, alpha = 0.05, ...)
|
Arguments
x |
A wide-format data frame. |
alpha |
The significance level. |
... |
Optional parameters. |
Value
A wide-format data frame.
Author(s)
Chakkrit Tantithamthavorn (kla@chakkrit.com)
Examples
1 |
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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