DTW
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ dissimilarity + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 67713
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6010 -0.5394 0.0384 0.5775 3.7019
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 110.0 10.49
## Residual 305.6 17.48
## Number of obs: 7842, groups: subject, 222
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.374e+01 9.066e-01 5.139e+02 59.275 < 2e-16 ***
## dissimilarity -3.651e-05 9.398e-06 7.834e+03 -3.884 0.000103 ***
## dowMonday -2.816e+00 7.482e-01 7.624e+03 -3.764 0.000169 ***
## dowSaturday 2.781e+00 7.824e-01 7.623e+03 3.555 0.000380 ***
## dowSunday 7.501e-01 7.794e-01 7.622e+03 0.963 0.335827
## dowThursday -2.714e+00 7.479e-01 7.624e+03 -3.629 0.000287 ***
## dowTuesday -4.342e+00 7.433e-01 7.622e+03 -5.842 5.36e-09 ***
## dowWednesday -2.253e+00 7.583e-01 7.624e+03 -2.972 0.002971 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dssmlr dwMndy dwStrd dwSndy dwThrs dwTsdy
## dissimilrty -0.155
## dowMonday -0.449 -0.009
## dowSaturday -0.432 0.011 0.521
## dowSunday -0.430 -0.006 0.523 0.500
## dowThursday -0.454 0.026 0.546 0.523 0.523
## dowTuesday -0.459 0.045 0.548 0.525 0.526 0.551
## dowWednesdy -0.445 0.011 0.538 0.514 0.516 0.538 0.540
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ dissimilarity * lockdown + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 56521
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6533 -0.5458 0.0473 0.5841 4.1593
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 115.2 10.73
## Residual 279.7 16.73
## Number of obs: 6602, groups: subject, 222
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.415e+01 9.536e-01 5.667e+02 56.786 < 2e-16 ***
## dissimilarity 1.472e-05 2.888e-05 6.533e+03 0.510 0.61023
## lockdown -3.645e+00 5.674e-01 6.581e+03 -6.423 1.43e-10 ***
## dowMonday -3.819e+00 7.870e-01 6.383e+03 -4.853 1.25e-06 ***
## dowSaturday 2.378e+00 8.329e-01 6.383e+03 2.855 0.00432 **
## dowSunday 1.007e+00 8.236e-01 6.381e+03 1.223 0.22140
## dowThursday -1.568e+00 7.834e-01 6.384e+03 -2.002 0.04538 *
## dowTuesday -3.053e+00 7.772e-01 6.380e+03 -3.929 8.63e-05 ***
## dowWednesday -3.534e+00 7.993e-01 6.383e+03 -4.422 9.95e-06 ***
## dissimilarity:lockdown -7.282e-05 3.177e-05 6.541e+03 -2.292 0.02194 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dssmlr lckdwn dwMndy dwStrd dwSndy dwThrs dwTsdy dwWdns
## dissimilrty -0.092
## lockdown -0.152 0.082
## dowMonday -0.450 -0.023 -0.030
## dowSaturday -0.421 0.017 -0.068 0.525
## dowSunday -0.436 -0.013 -0.003 0.530 0.500
## dowThursday -0.461 0.037 -0.026 0.557 0.529 0.531
## dowTuesday -0.479 0.050 0.042 0.558 0.527 0.535 0.566
## dowWednesdy -0.453 0.002 0.009 0.545 0.514 0.521 0.547 0.551
## dssmlrty:lc 0.074 -0.870 -0.394 0.026 0.003 0.014 -0.016 -0.038 0.000
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ diss_two + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 67674.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6938 -0.5384 0.0399 0.5886 3.7039
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 110.3 10.50
## Residual 304.8 17.46
## Number of obs: 7840, groups: subject, 222
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.277e+01 8.987e-01 4.950e+02 58.718 < 2e-16 ***
## diss_two 7.553e-05 1.248e-05 7.715e+03 6.052 1.50e-09 ***
## dowMonday -2.849e+00 7.471e-01 7.622e+03 -3.813 0.000138 ***
## dowSaturday 2.959e+00 7.816e-01 7.621e+03 3.786 0.000154 ***
## dowSunday 6.567e-01 7.783e-01 7.620e+03 0.844 0.398874
## dowThursday -2.477e+00 7.472e-01 7.622e+03 -3.315 0.000922 ***
## dowTuesday -4.122e+00 7.418e-01 7.619e+03 -5.557 2.85e-08 ***
## dowWednesday -2.185e+00 7.572e-01 7.622e+03 -2.885 0.003923 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dss_tw dwMndy dwStrd dwSndy dwThrs dwTsdy
## diss_two -0.078
## dowMonday -0.453 -0.002
## dowSaturday -0.435 0.030 0.521
## dowSunday -0.433 -0.016 0.523 0.500
## dowThursday -0.456 0.034 0.546 0.523 0.523
## dowTuesday -0.458 0.024 0.549 0.525 0.526 0.550
## dowWednesdy -0.447 0.008 0.538 0.514 0.516 0.537 0.540
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ diss_two * lockdown + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 56515.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6659 -0.5467 0.0484 0.5875 4.1858
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 115.3 10.74
## Residual 280.4 16.74
## Number of obs: 6600, groups: subject, 222
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.416e+01 9.536e-01 5.656e+02 56.797 < 2e-16 ***
## diss_two 6.555e-06 3.655e-05 6.478e+03 0.179 0.85767
## lockdown -4.977e+00 4.400e-01 6.430e+03 -11.312 < 2e-16 ***
## dowMonday -3.796e+00 7.884e-01 6.381e+03 -4.815 1.50e-06 ***
## dowSaturday 2.419e+00 8.364e-01 6.381e+03 2.893 0.00383 **
## dowSunday 1.012e+00 8.248e-01 6.379e+03 1.227 0.21979
## dowThursday -1.522e+00 7.859e-01 6.382e+03 -1.936 0.05285 .
## dowTuesday -3.087e+00 7.789e-01 6.378e+03 -3.964 7.45e-05 ***
## dowWednesday -3.536e+00 8.004e-01 6.381e+03 -4.419 1.01e-05 ***
## diss_two:lockdown -3.763e-05 5.276e-05 6.465e+03 -0.713 0.47568
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dss_tw lckdwn dwMndy dwStrd dwSndy dwThrs dwTsdy dwWdns
## diss_two -0.077
## lockdown -0.204 0.164
## dowMonday -0.450 -0.036 -0.037
## dowSaturday -0.421 -0.005 -0.076 0.526
## dowSunday -0.438 -0.010 -0.004 0.530 0.501
## dowThursday -0.462 0.029 -0.016 0.557 0.530 0.532
## dowTuesday -0.480 0.040 0.055 0.558 0.528 0.536 0.567
## dowWednesdy -0.454 -0.008 0.010 0.545 0.515 0.521 0.547 0.551
## dss_tw:lckd 0.026 -0.681 -0.236 0.043 0.068 0.029 0.033 0.011 0.022
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ diss_one + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 67350.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9434 -0.5339 0.0425 0.5852 3.7102
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 109.7 10.47
## Residual 304.2 17.44
## Number of obs: 7804, groups: subject, 222
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.303e+01 8.965e-01 4.955e+02 59.148 < 2e-16 ***
## diss_one 8.630e-05 1.407e-05 7.659e+03 6.132 9.13e-10 ***
## dowMonday -2.947e+00 7.485e-01 7.586e+03 -3.938 8.30e-05 ***
## dowSaturday 2.632e+00 7.834e-01 7.585e+03 3.359 0.000785 ***
## dowSunday 4.252e-01 7.809e-01 7.584e+03 0.545 0.586110
## dowThursday -2.658e+00 7.482e-01 7.586e+03 -3.553 0.000383 ***
## dowTuesday -4.408e+00 7.433e-01 7.584e+03 -5.930 3.16e-09 ***
## dowWednesday -2.283e+00 7.590e-01 7.586e+03 -3.008 0.002639 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) diss_n dwMndy dwStrd dwSndy dwThrs dwTsdy
## diss_one -0.049
## dowMonday -0.456 -0.014
## dowSaturday -0.435 -0.008 0.522
## dowSunday -0.434 -0.047 0.524 0.501
## dowThursday -0.457 0.008 0.547 0.523 0.524
## dowTuesday -0.458 -0.013 0.550 0.526 0.527 0.551
## dowWednesdy -0.450 0.004 0.538 0.515 0.516 0.538 0.541
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ diss_one * lockdown + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 56213.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6689 -0.5439 0.0485 0.5851 4.1890
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 114.8 10.71
## Residual 279.5 16.72
## Number of obs: 6567, groups: subject, 222
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.409e+01 9.525e-01 5.673e+02 56.795 < 2e-16 ***
## diss_one 9.334e-05 4.955e-05 6.479e+03 1.884 0.0597 .
## lockdown -4.915e+00 4.355e-01 6.400e+03 -11.286 < 2e-16 ***
## dowMonday -3.814e+00 7.891e-01 6.348e+03 -4.833 1.37e-06 ***
## dowSaturday 2.259e+00 8.361e-01 6.347e+03 2.702 0.0069 **
## dowSunday 9.702e-01 8.262e-01 6.346e+03 1.174 0.2403
## dowThursday -1.494e+00 7.851e-01 6.348e+03 -1.903 0.0571 .
## dowTuesday -3.108e+00 7.790e-01 6.345e+03 -3.990 6.67e-05 ***
## dowWednesday -3.569e+00 8.019e-01 6.347e+03 -4.451 8.70e-06 ***
## diss_one:lockdown -1.065e-04 8.976e-05 6.425e+03 -1.186 0.2356
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) diss_n lckdwn dwMndy dwStrd dwSndy dwThrs dwTsdy dwWdns
## diss_one -0.074
## lockdown -0.210 0.157
## dowMonday -0.454 -0.011 -0.026
## dowSaturday -0.420 -0.021 -0.066 0.525
## dowSunday -0.439 -0.010 -0.002 0.530 0.501
## dowThursday -0.462 0.016 -0.010 0.558 0.528 0.533
## dowTuesday -0.480 0.029 0.058 0.559 0.527 0.537 0.567
## dowWednesdy -0.456 0.016 0.016 0.546 0.514 0.521 0.548 0.552
## dss_n:lckdw 0.030 -0.545 -0.159 -0.016 0.040 0.025 0.017 0.008 -0.012
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
DTW Home
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ dissimilarity_home + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 59552
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.7214 -0.5434 0.0432 0.5847 3.7270
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 108.3 10.41
## Residual 301.4 17.36
## Number of obs: 6903, groups: subject, 221
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.381e+01 9.138e-01 5.254e+02 58.890 < 2e-16 ***
## dissimilarity_home 1.416e-06 4.571e-07 6.815e+03 3.098 0.001955 **
## dowMonday -3.219e+00 7.893e-01 6.689e+03 -4.079 4.58e-05 ***
## dowSaturday 2.465e+00 8.290e-01 6.688e+03 2.974 0.002953 **
## dowSunday 8.684e-02 8.238e-01 6.685e+03 0.105 0.916047
## dowThursday -3.024e+00 7.949e-01 6.688e+03 -3.804 0.000144 ***
## dowTuesday -4.831e+00 7.801e-01 6.686e+03 -6.193 6.24e-10 ***
## dowWednesday -2.906e+00 7.973e-01 6.687e+03 -3.645 0.000270 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dssml_ dwMndy dwStrd dwSndy dwThrs dwTsdy
## dssmlrty_hm -0.064
## dowMonday -0.469 0.016
## dowSaturday -0.445 0.003 0.517
## dowSunday -0.444 -0.053 0.518 0.494
## dowThursday -0.465 0.015 0.540 0.514 0.514
## dowTuesday -0.473 -0.006 0.548 0.522 0.525 0.545
## dowWednesdy -0.464 0.015 0.537 0.511 0.512 0.532 0.541
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ dissimilarity_home * lockdown + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 49943.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6898 -0.5374 0.0401 0.5807 4.2378
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 114.4 10.69
## Residual 276.6 16.63
## Number of obs: 5836, groups: subject, 221
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.441e+01 9.707e-01 5.878e+02 56.055 < 2e-16
## dissimilarity_home 3.094e-06 1.156e-06 5.817e+03 2.675 0.00748
## lockdown -5.256e+00 5.432e-01 5.770e+03 -9.676 < 2e-16
## dowMonday -4.217e+00 8.344e-01 5.618e+03 -5.054 4.46e-07
## dowSaturday 1.931e+00 8.874e-01 5.617e+03 2.176 0.02963
## dowSunday 5.157e-01 8.709e-01 5.616e+03 0.592 0.55375
## dowThursday -1.778e+00 8.278e-01 5.618e+03 -2.149 0.03171
## dowTuesday -3.723e+00 8.140e-01 5.615e+03 -4.573 4.90e-06
## dowWednesday -4.087e+00 8.429e-01 5.616e+03 -4.849 1.27e-06
## dissimilarity_home:lockdown -2.791e-06 2.952e-06 5.825e+03 -0.945 0.34455
##
## (Intercept) ***
## dissimilarity_home **
## lockdown ***
## dowMonday ***
## dowSaturday *
## dowSunday
## dowThursday *
## dowTuesday ***
## dowWednesday ***
## dissimilarity_home:lockdown
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dssml_ lckdwn dwMndy dwStrd dwSndy dwThrs dwTsdy dwWdns
## dssmlrty_hm -0.078
## lockdown -0.163 0.063
## dowMonday -0.466 0.001 -0.031
## dowSaturday -0.432 -0.019 -0.047 0.519
## dowSunday -0.450 -0.037 0.002 0.526 0.495
## dowThursday -0.472 -0.019 -0.010 0.555 0.523 0.530
## dowTuesday -0.496 0.016 0.052 0.561 0.526 0.538 0.568
## dowWednesdy -0.470 0.011 0.008 0.543 0.509 0.520 0.546 0.555
## dssmlrty_h: 0.015 -0.217 -0.496 0.005 0.008 0.010 0.004 -0.011 0.004
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ diss_two_home + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 59224.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.7993 -0.5392 0.0413 0.5834 3.7283
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 108.2 10.40
## Residual 301.8 17.37
## Number of obs: 6864, groups: subject, 221
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.380e+01 9.152e-01 5.294e+02 58.781 < 2e-16 ***
## diss_two_home 1.614e-06 4.500e-07 6.745e+03 3.586 0.000338 ***
## dowMonday -3.231e+00 7.914e-01 6.650e+03 -4.082 4.51e-05 ***
## dowSaturday 2.595e+00 8.334e-01 6.649e+03 3.114 0.001852 **
## dowSunday 1.191e-01 8.266e-01 6.646e+03 0.144 0.885477
## dowThursday -2.983e+00 7.982e-01 6.649e+03 -3.737 0.000188 ***
## dowTuesday -4.834e+00 7.825e-01 6.647e+03 -6.178 6.86e-10 ***
## dowWednesday -2.847e+00 8.004e-01 6.648e+03 -3.557 0.000378 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dss_t_ dwMndy dwStrd dwSndy dwThrs dwTsdy
## diss_two_hm -0.068
## dowMonday -0.471 0.023
## dowSaturday -0.448 0.026 0.518
## dowSunday -0.446 -0.044 0.519 0.493
## dowThursday -0.467 0.028 0.541 0.514 0.514
## dowTuesday -0.476 0.007 0.549 0.522 0.525 0.546
## dowWednesdy -0.466 0.022 0.538 0.511 0.513 0.532 0.541
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ diss_two_home * lockdown + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 49623.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6912 -0.5406 0.0469 0.5821 4.2332
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 113.9 10.67
## Residual 277.2 16.65
## Number of obs: 5797, groups: subject, 221
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.454e+01 9.723e-01 5.953e+02 56.090 < 2e-16 ***
## diss_two_home 1.978e-06 9.996e-07 5.693e+03 1.978 0.0479 *
## lockdown -5.181e+00 4.900e-01 5.705e+03 -10.572 < 2e-16 ***
## dowMonday -4.308e+00 8.380e-01 5.580e+03 -5.140 2.84e-07 ***
## dowSaturday 1.862e+00 8.959e-01 5.579e+03 2.079 0.0377 *
## dowSunday 5.742e-01 8.750e-01 5.577e+03 0.656 0.5117
## dowThursday -1.866e+00 8.339e-01 5.579e+03 -2.237 0.0253 *
## dowTuesday -3.819e+00 8.184e-01 5.577e+03 -4.666 3.14e-06 ***
## dowWednesday -4.115e+00 8.473e-01 5.578e+03 -4.856 1.23e-06 ***
## diss_two_home:lockdown -6.202e-06 2.474e-06 5.644e+03 -2.507 0.0122 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dss_t_ lckdwn dwMndy dwStrd dwSndy dwThrs dwTsdy dwWdns
## diss_two_hm -0.078
## lockdown -0.183 0.162
## dowMonday -0.468 -0.009 -0.042
## dowSaturday -0.436 -0.005 -0.063 0.521
## dowSunday -0.454 -0.018 -0.001 0.528 0.494
## dowThursday -0.477 -0.002 -0.022 0.557 0.524 0.530
## dowTuesday -0.500 0.029 0.049 0.562 0.527 0.539 0.569
## dowWednesdy -0.472 0.006 0.007 0.545 0.510 0.521 0.547 0.556
## dss_tw_hm:l -0.003 -0.386 -0.229 0.036 0.076 0.022 0.066 0.030 0.023
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ diss_one_home + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 58759.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9098 -0.5390 0.0415 0.5828 3.7283
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 107.5 10.37
## Residual 302.1 17.38
## Number of obs: 6809, groups: subject, 221
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.384e+01 9.150e-01 5.334e+02 58.840 < 2e-16 ***
## diss_one_home 2.200e-06 4.613e-07 6.671e+03 4.768 1.90e-06 ***
## dowMonday -3.296e+00 7.946e-01 6.595e+03 -4.148 3.40e-05 ***
## dowSaturday 2.525e+00 8.376e-01 6.594e+03 3.015 0.002583 **
## dowSunday -1.990e-02 8.312e-01 6.592e+03 -0.024 0.980898
## dowThursday -3.115e+00 8.013e-01 6.594e+03 -3.887 0.000102 ***
## dowTuesday -4.966e+00 7.858e-01 6.592e+03 -6.320 2.78e-10 ***
## dowWednesday -2.912e+00 8.055e-01 6.594e+03 -3.616 0.000302 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dss_n_ dwMndy dwStrd dwSndy dwThrs dwTsdy
## diss_one_hm -0.057
## dowMonday -0.474 0.015
## dowSaturday -0.449 0.009 0.518
## dowSunday -0.448 -0.049 0.520 0.493
## dowThursday -0.469 0.010 0.541 0.514 0.515
## dowTuesday -0.478 -0.005 0.550 0.522 0.526 0.547
## dowWednesdy -0.467 0.022 0.537 0.510 0.512 0.532 0.541
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: PA_avg ~ diss_one_home * lockdown + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 49229.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6862 -0.5376 0.0450 0.5867 4.2383
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 113.4 10.65
## Residual 277.5 16.66
## Number of obs: 5750, groups: subject, 221
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.455e+01 9.717e-01 5.965e+02 56.134 < 2e-16 ***
## diss_one_home 3.069e-06 1.145e-06 5.642e+03 2.680 0.00739 **
## lockdown -5.409e+00 4.857e-01 5.663e+03 -11.137 < 2e-16 ***
## dowMonday -4.248e+00 8.418e-01 5.533e+03 -5.047 4.64e-07 ***
## dowSaturday 1.859e+00 8.981e-01 5.532e+03 2.070 0.03850 *
## dowSunday 4.412e-01 8.796e-01 5.530e+03 0.502 0.61602
## dowThursday -1.906e+00 8.356e-01 5.532e+03 -2.281 0.02260 *
## dowTuesday -3.850e+00 8.206e-01 5.529e+03 -4.692 2.77e-06 ***
## dowWednesday -4.202e+00 8.525e-01 5.531e+03 -4.929 8.50e-07 ***
## diss_one_home:lockdown -5.622e-06 2.976e-06 5.566e+03 -1.889 0.05892 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) dss_n_ lckdwn dwMndy dwStrd dwSndy dwThrs dwTsdy dwWdns
## diss_one_hm -0.065
## lockdown -0.189 0.152
## dowMonday -0.470 -0.004 -0.034
## dowSaturday -0.436 -0.021 -0.051 0.519
## dowSunday -0.455 -0.024 0.001 0.526 0.494
## dowThursday -0.477 -0.022 -0.014 0.556 0.522 0.530
## dowTuesday -0.501 0.013 0.053 0.562 0.526 0.540 0.569
## dowWednesdy -0.474 0.015 0.015 0.544 0.508 0.519 0.545 0.555
## dss_n_hm:lc 0.028 -0.374 -0.124 -0.043 0.017 0.018 0.012 -0.002 -0.015
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling
