Description Usage Arguments Details Value Author(s) References Examples
This function checks the assumption of normality for each of the groups x1
, x2
, x3
(and optional x4
, x5
and 6
) used in the Bayesian ANOVA via Shapiro-Wilk tests with confidence level conf.level
.
1 | assumption.check(x1,x2,x3,x4=NULL,x5=NULL,x6=NULL,conf.level=0.95)
|
x1 |
Numerical vector containing the values for the first group |
x2 |
Numerical vector containing the values for the second group |
x3 |
Numerical vector containing the values for the third group |
x4 |
Numerical vector containing the values for the fourth group. Defaults to NULL. |
x5 |
Numerical vector containing the values for the fifth group. Defaults to NULL. |
x6 |
Numerical vector containing the values for the sixth group. Defaults to NULL. |
conf.level |
Confidence level of the Shapiro-Wilk test used. Significance level equals |
If a single Shapiro-Wilk test fails, the method returns a warning and recommends to use further diagnostics.
Histograms and Quantile-Quantile plots for all groups are produced, either a warning or a confirmation of normality in all three groups is printed to the console.
Riko Kelter
For details, see: https://arxiv.org/abs/1906.07524v1
1 2 3 4 5 6 | set.seed(42)
x1=rnorm(75,0,1)
x2=rnorm(75,1,1)
x3=rnorm(75,2,1)
assumption.check(x1,x2,x3,conf.level = 0.95)
|
Model assumptions checked. No significant deviations from normality detected. Bayesian ANOVA can be run safely.
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