ScottKnottESD (version 1.2.2)

ScottKnottESD-package: The Scott-Knott Effect Size Difference (ESD) Test

Description

An enhancement of the Scott-Knott test (which clusters distributions into statistically distinct ranks) that takes effect size into consideration [Tantithamthavorn et al., (2017) <http://dx.doi.org/10.1109/TSE.2016.2584050>].

Details

Package:	ScottKnottESD
Type:	Package
Version:	1.2.2
Date:	2017-05-07
License:	GPL (>= 2)

References

Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto, An Empirical Comparison of Model Validation Techniques for Defect Prediction Models. IEEE Transactions on Software Engineering. 43(1): 1-18 (2017). <doi:10.1109/TSE.2016.2584050>

See Also

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Examples

# NOT RUN {
library(ScottKnottESD)

# Example dataset
example

# Convert data from long format to wide format
long <- melt(example, id.vars=0)
wide <- long2wide(long) # A wide-format data frame

# Check basic ANOVA assumptions
check.ANOVA.assumptions(example)

sk <- sk_esd(example)
sk$original  # Original Groups
sk$groups    # Corrected Groups with effect size wise
sk$reverse   # Reversed Groups
# }