Basically I want to do a chi square test on a file called
d <- read.csv('data.csv')
From the documentation of
chisq.out.test, you can utilize it to find the one outlier of your data considering that you also give the variance. By default,
chisq.out.test finds the value with the largest difference from the mean. If the parameter
opposite is set to
TRUE then the test will go ahead and find the lowest one.
library(outliers) d <- read.csv('data.csv') test1 <- chisq.out.test(d$Bytes, variance = var(d$Bytes)) #or for opposite test2 <- chisq.out.test(d$Bytes, variance = var(d$Bytes), opposite = TRUE)