# Interpolated Median ####
# Taken from http://aec.umich.edu/median.php
# Define variables as follows:
# M = the standard median of the responses
# nl = number of responses strictly less than M
# ne = number of responses equal to M
# ng = number of responses strictly greater than M
# The interpolated median IM is then computed as follows:
# If ne is nonzero:
# IM = M + (ng - nl) / (2ne)
# If ne is zero:
# IM = M
InterpolatedMedian <- function(X){
M <- median(X)
nl <- X[X < M] %>% length
ne <- X[X == M] %>% length
ng <- X[X > M] %>% length
nl <- as.numeric(X < M)
ne <- as.numeric(X == M)
ng <- as.numeric(X > M)
if(ne == 0){
IM <- M + (ng - nl)/2*ne
}else{
IM <- M
}
return(IM)
}
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