[R-sig-ME] comparing 2 models
P Greenwood
pgreenw1 at gmu.edu
Wed Apr 25 03:17:32 CEST 2018
Hello
Although alpha-band EEG is something of a gold standard in predicting processing of stimuli (pre-stimulus alpha), it is not easy to measure EEG outside the lab (e.g. in a vehicle). In contrast, heart-rate and eye gaze are more reliably obtained in the field using low-cost wearable sensors.
We sought to compare the ability of 3 sensors to model human reaction time (RT) to a signal from automation. We compared these measures: alpha-band (PzAlpha), heart-rate variability (HRV), and eye gaze (lnX). Each person has 10 trials in each of 5 drives. Pnum is subject number.
We sought to model RT from alpha-band, heart-rate variability (HRV), and eye gaze (lnX) and Drive.
sumModelInteraction4 <- lmer(RT ~ 1 + (PzAlpha+ HRV+lnX+Drive)^3 + (1 | Pnum) + (1 | Trial), data = INFAST_Behavioralnew, REML = FALSE)
The output, pasted below, reveals interactions: PzAlpha x HRV, PzAlpha x Drive, and HRV x Drive. Also pasted below is some of the raw data.
An LRT comparing this model with an additive model (PzAlpha+RMSSD+lnX+Drive+Trial) yields a significant difference. This suggests that the interactions PzAlpha x Drive and HRV x Drive are meaningful predictors.
We would like to determine whether PzAlpha x Drive or HRV x Drive is the better predictor of RT. What is the best way to compare those 2 models? The measures are scaled and centered.
Thank you very much.
Pam Greenwood
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) -1.908e-01 1.368e-01 3.310e+01 -1.395 0.17235
PzAlpha -1.098e-01 6.042e-02 2.339e+02 -1.818 0.07041 .
HRV -1.127e-01 6.402e-02 1.112e+03 -1.760 0.07868 .
lnX 7.921e-02 7.547e-02 1.102e+03 1.050 0.29416
Drive 5.382e-02 1.661e-02 1.080e+03 3.241 0.00123 **
PzAlpha: HRV -1.586e-01 6.424e-02 7.035e+02 -2.468 0.01382 *
PzAlpha:lnX 1.116e-01 7.400e-02 8.456e+02 1.508 0.13199
PzAlpha:Drive 4.405e-02 1.730e-02 1.049e+03 2.546 0.01103 *
HRV:lnX -4.723e-02 6.905e-02 1.100e+03 -0.684 0.49407
HRV:Drive 3.652e-02 1.747e-02 1.098e+03 2.091 0.03677 *
lnX:Drive -1.275e-02 1.992e-02 1.100e+03 -0.640 0.52217
PzAlpha: HRV:lnX 1.473e-02 2.567e-02 8.244e+02 0.574 0.56621
PzAlpha: HRV:Drive 3.308e-02 1.878e-02 1.084e+03 1.761 0.07845 .
PzAlpha:lnX:Drive -2.325e-02 2.005e-02 9.166e+02 -1.160 0.24640
HRV:lnX:Drive 9.729e-03 1.769e-02 1.097e+03 0.550 0.58247
Pnum
Drive Trial RT ACC FzAlpha CzAlpha PzAlpha FzTheta CzTheta PzTheta MeanPupil lnX lnY MeanRR
HRV
20 1 1 1480.8931 1 7.9928 10.216 7.6254 3.4916 4.8657 6.4977 4.280969072 -3.208115816 -2.423813328 0.7336 0.074666667
20 1 2 1983.254 1 -8.2609 0.62018 0.32812 4.2257 6.0181 6.5564 4.360414101 -1.926558582 -2.364252526 0.7336 0.074666667
20 1 3 1588.0317 1 1.2572 5.5394 9.0619 4.322 6.7421 7.2778 4.429370379 -2.510514134 -2.890876402 0.734 0.073333333
20 1 4 2600 0 -2.0822 -3.5216 2.597 7.6632 9.4505 9.2404 3.994177574 -2.121340179 -3.875411777 0.7408 0.050666667
20 1 5 1268.9969 1 2.463 4.5837 4.0916 3.4363 4.2989 -2.1573 3.927884406 -1.754642861 -2.737213207 0.7516 0.014666667
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