Qualitative analysis of the ANOVA residuals [General Sta­tis­tics]

posted by ElMaestro  – Denmark, 2014-02-19 15:32  – Posting: # 12451
Views: 12,138

Hi,

it really depends on what your agency wants with that qualitative analysis of residuals.

I would do a histogram of residuals, possibly a histogram of within-subject differences.
Ideally that would amount to something that looks like a normal distribution, but realistically with a low number of subjects it may just look like the teeth of someone who pissed Mike Tyson seriously off. Looking for outliers (looking in this regards means looking, and not quantifying their potential presence) may be another aspect where this could come in handy.

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 3 (0 registered, 3 guests [including 2 identified bots]).
Forum time (Europe/Vienna): 18:55 CEST

Those people who think they know everything
are a great annoyance to those of us who do.    Isaac Asimov

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