Bioequivalence and Bioavailability Forum

Main page Policy/Terms of Use Abbreviations Latest Posts

 Log in |  Register |  Search

Back to the forum  2018-06-20 11:30 CEST (UTC+2h)

multiple regression? [General Sta­tis­tics]

posted by Helmut Homepage - Vienna, Austria, 2017-10-08 17:17  - Posting: # 17875
Views: 2,724

Hi ElMaestro,

nice setup. Given

» […] a lot of knobs and buttons and sliders that allow me to tweak combinations of:
» - Tesla coil zap modifier strength
» - Evil discharge combobulator intensity
» - Ion stream barbaric voltage gain
» - Apocalyptic wolfram anode ray modulation
» ...and so forth.

I’m I right that you are aiming at multiple regression (i.e., >1 regressor and and one regressand)? See there for an arsenal of methods. For the same number of regressors the adjusted R2 takes the number of data points into account.

x1 <- rnorm(10)
y1 <- x1*2+rnorm(10, 0, 0.1)
muddle1 <- lm(y1 ~ x1)
R2.adj1 <- summary(muddle1)$adj.r.squared
x2 <- x1[-1] # drop 1
y2 <- y1[-1] # drop 1
muddle2 <- lm(y2 ~ x2)
R2.adj2 <- summary(muddle2)$adj.r.squared
cat(R2.adj1, R2.adj2, "\n")

Helmut Schütz

The quality of responses received is directly proportional to the quality of the question asked. ☼
Science Quotes

Complete thread:

Back to the forum Activity
 Mix view
Bioequivalence and Bioavailability Forum |  Admin contact
18,397 posts in 3,909 threads, 1,175 registered users;
online 37 (1 registered, 36 guests [including 23 identified bots]).

The analysis of variance is not a mathematical theorem,
but rather a convenient method of arranging the arithmetic.    R.A. Fisher

BEBAC Ing. Helmut Schütz