assumption.test: Assumption Test
In benjaminschlegel/experiment.tools: Tools for Experiments
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Tests the normality and the homogeneity assumptions.
Usage
1
assumption.test(aov.object, alpha=0.05)
Arguments
aov.object
the ANOVA-Object created with aov()
alpha
OPTIONAL the alpha value to reject H0, default: 0.05
Details
The function used the Agostino test to test for normality. If normality holds,
it uses the Bartlett test to check for homogeneity. If it does not hold, it
uses the Levene's test if there are no outliers and otherwise the Brown-Forsyth test.
Value
The test results
Author(s)
Benjamin Schlegel, kontakt@benjaminschlegel.ch
Examples
1
2
3
df = data.frame(Y=c(5,3,3,3,1,2,3,6,2,5,3,5,6,5,6,5,4,5,6,5,6,7,6,7),A=sort(rep(1:4,6)))
object = aov(Y~A, data=df)
assumption.test(object)
benjaminschlegel/experiment.tools documentation built on May 8, 2019, 10:52 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Tests the normality and the homogeneity assumptions.
Usage
1 | assumption.test(aov.object, alpha=0.05)
|
Arguments
aov.object |
the ANOVA-Object created with aov() |
alpha |
OPTIONAL the alpha value to reject H0, default: 0.05 |
Details
The function used the Agostino test to test for normality. If normality holds, it uses the Bartlett test to check for homogeneity. If it does not hold, it uses the Levene's test if there are no outliers and otherwise the Brown-Forsyth test.
Value
The test results
Author(s)
Benjamin Schlegel, kontakt@benjaminschlegel.ch
Examples
1 2 3 | df = data.frame(Y=c(5,3,3,3,1,2,3,6,2,5,3,5,6,5,6,5,4,5,6,5,6,7,6,7),A=sort(rep(1:4,6)))
object = aov(Y~A, data=df)
assumption.test(object)
|
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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