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clipping
2017 Jul 06
0
Bayes Factor
...the groups
boxplot(as.matrix(mcmcOut2[,2:6]))
# Show the HDIs
summary(mcmcOut2)
# Calculate the Bayes Factor
competitionBayesOut
# Pairwise "post hoc" tests
library(rjags)
library(BEST)
# competitionare 'r5' vs. 'control'
plot(BESTmcmc(competition[competition$clpping=="r5",2],
competition[competition$clipping=="control",2]))
#
plot(BESTmcmc(competition[competition$clpping=="r10",2],
competition[competition$clipping=="control",2]))
# competitionare 'n10' vs. 'control'
plot(BESTmcmc(competition[competiti...