Bioequivalence and Bioavailability Forum • multiple regression?

multiple regression? [General Statistics]

posted by Helmut - Vienna, Austria, 2017-10-08 17:17 - Posting: # 17875
Views: 4,828

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")

—
Cheers,
Helmut Schütz

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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

Bioequivalence and Bioavailability Forum 06:08 CEST

multiple regression? [General Sta­tis­tics]

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multiple regression? [General Statistics]