# Bayesian Median Test
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# Install Package: 'Ctrl + Shift + B'
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# Test Package: 'Ctrl + Shift + T'
Bayes_mediantest<-function(Y1,Y2,a0=1,b0=1){
Y<-c(Y1,Y2)
med=median(Y)
# print("Overall median is:")
# print(med)
l1=length(Y1)
l2=length(Y2)
A1above=0
A1below=0
for (I in 1:l1){
if (Y1[I]>med){
A1above=A1above+1
} else {A1below=A1below+1}
}
A2above=0
A2below=0
for (I in 1:l2){
if (Y2[I]>med){
A2above=A2above+1
} else {A2below=A2below+1}
}
# print("Respective frequencies of Y1 and Y2 above the median are:")
# abovefreq<-c(A1above, A2above)
# print(abovefreq)
# print("Respective frequencies of Y1 and Y2 at or below median are:")
# belowfreq<-c(A1below,A2below)
# print(belowfreq)
a=A1above+a0
b=A2above+b0
Y1baserate=l1/(l1+l2)
probY1hi=1-pbeta(Y1baserate,a,b)
# Y2baserate=1-Y1baserate
# print("Respective base rates for Y1 and Y2 responses are:")
# Y2baserate=1-Y1baserate
# baserate<-c(Y1baserate,Y2baserate)
# print(baserate)
# print("Following is the analysis of the responses above the median:")
probY2hi=1-pbeta(Y2baserate,b,a)
if (probY1hi>=probY2hi) {
prob<-probY1hi
# print("Posterior probability that Y1 exceeds base rate is:")
Direction<-"Y1 exceeds base rate"
# print(probY1hi)
postodds=probY1hi/(1-probY1hi)
priorY1hi=1-pbeta(Y1baserate,a0,b0)
priorodds=priorY1hi/(1-priorY1hi)
BF=postodds/priorodds
# print("Prior probability that Y1 exceeds base rate is:")
# print(priorY1hi)
prior<-priorY1hi
# print("Bayes factor is:")
# print(BF)
} else {
Direction<-"Y2 exceeds base rate"
prob<-probY2hi
# print("Posterior probability that Y2 exceeds base rate is:")
# print(probY2hi)
postodds=probY2hi/(1-probY2hi)
priorY2hi=1-pbeta(Y2baserate,b0,a0)
priorodds=priorY2hi/(1-priorY2hi)
BF=postodds/priorodds
# print("Prior probability that Y2 exceeds base rate is:")
prior<-priorY2hi
# print(priorY2hi)
# print("Bayes factor is:")
# print(BF)
}
list(Overall_median=med,
Y1_freq_above=A1above,
Y2_freq_above=A2above,
Y1_freq_below=A1below,
Y2_freq_below=A2below,
Y1_base_rate=Y1baserate,
Y2_base_rate=1-Y1baserate,
Direction=Direction,
Posterior_Probability=prob,
Prior_Probability=prior,
Bayes_Factor=BF
)
}
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