Nothing
# Continuity cutoff with respect to sample size
cutoffcont <- function(n){
# Cutoff for continuity f(n)=a*log10(n)+b, f(10)=0.75, , f(50)=0.4, f(100)=0.25
b=125
a=-50
if (n<=50) {
cut <- min(1,round((a*log10(n)+b)/100,2))
} else {
# 20 unique values for sample sizes greater than 50
cut <- 20/n
}
return(cut)
}
# Variables can be: Pure continuous or continuous with max 3 replications or other discrete distribution which can be approximated by continuous
continuous <- function(col){
dt <- data.table(col)
reps <- na.omit(dt[,.N,by=col])
if ( (all(reps[,2]<=3)) ||
(length(unique(na.omit(col))) / length(na.omit(col)) >= cutoffcont(length(na.omit(col)))) ){
return(TRUE)
} else {return(FALSE)
}
}
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