Bioequivalence and Bioavailability Forum

multiple regression? [General Statistics]

posted by Helmut – Vienna, Austria, 2017-10-08 19:17 (3185 d 23:28 ago) – Posting: # 17875
Views: 19,599

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")

—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz

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Science Quotes

Complete thread:

Goodness of fits: one model, different datasets ElMaestro 2017-10-06 23:01 [General Statistics]
- Goodness of fits: one model, different datasets nobody 2017-10-07 16:03
  - Experimental setup, details ElMaestro 2017-10-07 18:06
    - Visualization ElMaestro 2017-10-07 19:07
    - multiple regression?Helmut 2017-10-08 17:17
      - just y=ax+b ElMaestro 2017-10-08 17:30
        
        just y=ax+b Helmut 2017-10-08 17:35
        
        just y=ax+b ElMaestro 2017-10-08 17:50
        
        just y=ax+b nobody 2017-10-08 20:26
        ANCOVA with R? yjlee168 2017-10-08 21:28
        just y=ax+b DavidManteigas 2017-10-09 10:34
        
        just y=ax+b nobody 2017-10-09 10:45
        
        just y=ax+b Helmut 2017-10-10 18:15

multiple regression? [General Sta­tis­tics]

Complete thread:

multiple regression? [General Statistics]