In statistics, or particularly in R programming, an outlier is defined as an observation that is far removed from most of the other observations. Often an outlier is present due to a measurement error.
The following script is used to detect the particular outliers for each and every attribute:
> outlierKD <- function(dt, var) {
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var_name <- eval(substitute(var),eval(dt))
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na1 <- sum(is.na(var_name))
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m1 <- mean(var_name, na.rm = T)
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par(mfrow=c(2, 2), oma=c(0,0,3,0))
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boxplot(var_name, main="With outliers")
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hist(var_name, main="With outliers", xlab=NA, ylab=NA)
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outlier <- boxplot.stats(var_name)$out
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...
