Hi there dear R users,
By using the code below that plots two distributions and calculates a bootstrap
hypothesis test of equality, similarity of these two distributions was
calculated. What I'm interested now is to find out a size of the area where
both distributions are overlapping. I know that mathematically this should be
done with integrals but have no idea how to do it the most efficiently with R.
Any help will be greatly appreciated! Best regards, Ana
library(sm)
data <- rnorm(40,0,1)#provides data
rang <- sample(1:2,40, replace=TRUE,prob=c(.3,.7))#provides how data should
be separated (1 - distribution one and 2 - distribution two)
sm.density.compare(data,rang,model="equal", nboots=1000)
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