On 30/12/11 17:03, Michael wrote:
Happy holidays all!
I know it's very subjective to determine whether some data is outlier or
not...
But are there reasonally good and realistic methods of identifying outliers
in R?
Thanks a lot!
Ignoring the moral questions for a moment (totaly depends on y
On Fri, Dec 30, 2011 at 9:03 AM, Michael wrote:
> Happy holidays all!
>
> I know it's very subjective to determine whether some data is outlier or
> not...
>
> But are there reasonally good and realistic methods of identifying outliers
> in R?
What kind of data do you have? For simple numeric dat
Hi Michael,
I'm afraid this is one of those cases where the short answer is "No"
and the long answer is, "No."
If you are working with a data set stored in a data frame, something like:
sapply(mtcars, function(x) if (is.numeric(x)) range(x, na.rm = TRUE)
else c(NA, NA))
should give you the rang
Happy holidays all!
I know it's very subjective to determine whether some data is outlier or
not...
But are there reasonally good and realistic methods of identifying outliers
in R?
Thanks a lot!
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