ESD? [Outliers]

posted by ElMaestro  – Denmark, 2019-02-06 17:12  – Posting: # 19885
Views: 736

Hi Mittyri,

» do you mean ESD?


I mean more or less:

1. Fit the model on the dataset
2. Evaluate if there is an outlier (or more than one) by whatever criterion such as stud.res. >3
3a. If there is no outlier proceed to 4.
3b. If there is an outlier, remove it. This defines a new dataset. Cycle back to step 1. In the case of multiple aberrant values noted under step 2, focus only on the one whose magnitude is highest, eg. the highest absolute stud. res.
4. Do stats via the fitted model.

I don't know if this is ESD. It is an abbreviation I am not familiar with and I am on my way out, so not too much time to investigate the link. But let me guess:
Emily Saw Dennis? Every Skunk Dies? Eagles Soar Deliriously? Eat Sh!t and Die? Evelyn Sauntered Diagonally?

if (3) 4

x=c("Foo", "Bar")
b=data.frame(x)
typeof(b[,1]) ##aha, integer?
b[,1]+1 ##then let me add 1


Best regards,
ElMaestro

“(...) targeted cancer therapies will benefit fewer than 2 percent of the cancer patients they’re aimed at. That reality is often lost on consumers, who are being fed a steady diet of winning anecdotes about miracle cures.” New York Times (ed.), June 9, 2018.

Complete thread:

Activity
 Mix view
Bioequivalence and Bioavailability Forum |  Admin contact
19,404 posts in 4,122 threads, 1,323 registered users;
online 17 (1 registered, 16 guests [including 4 identified bots]).
Forum time (Europe/Vienna): 16:45 UTC

No rational argument will have a rational effect on a man
who does not want to adopt a rational attitude.    Karl R. Popper

The BIOEQUIVALENCE / BIOAVAILABILITY FORUM is hosted by
BEBAC Ing. Helmut Schütz
HTML5