chi square test / grubbs analysis

Question

Basically I want to do a chi square test on a file called

output9.csv

. There are two columns in the file, I want to pick one of them to do the grubbs analysis on.

1) How do I read the output.

This is what I have so far:

d <- read.csv('data.csv')

So for this part, what should be inside my bracket, i.e.

output9.csv

?

chisq.(mydata)

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Answer 1

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)

chi square test / grubbs analysis

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