RE_COVID_Initial_ORD
Rick Reneau
August 14, 2020
PA ~ RE Pre-COVID
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy + time_of_day + precipi + mean_temp +
## distance + dow + (1 | subject)
## data: df[which(df$lockdown == 0), ]
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 4704 -9350.94 18743.88 957(5773) 3.38e+02 NaN
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1 1
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.0463139 NA NA NA
## time_of_day 0.0034675 NA NA NA
## precipi 0.1410273 NA NA NA
## mean_temp -0.0136288 NA NA NA
## distance 0.0001739 NA NA NA
## dowMonday -0.3313003 NA NA NA
## dowSaturday 0.4500323 NA NA NA
## dowSunday -0.1091738 NA NA NA
## dowThursday -0.3357451 NA NA NA
## dowTuesday -0.7124834 NA NA NA
## dowWednesday -0.4044147 NA NA NA
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.6343 NA NA
## (10,20]|(20,30] -3.7971 NA NA
## (20,30]|(30,40] -2.9789 NA NA
## (30,40]|(40,50] -2.2027 NA NA
## (40,50]|(50,60] -1.4357 NA NA
## (50,60]|(60,70] -0.4421 NA NA
## (60,70]|(70,80] 0.3265 NA NA
## (70,80]|(80,90] 1.2347 NA NA
## (80,90]|(90,100] 2.4177 NA NA
## (6400 observations deleted due to missingness)## [1] "BIC: "## [1] 18879.46## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy + dow + (1 | subject)
## data: df[which(df$lockdown == 0), ]
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 4704 -9274.42 18582.84 3232(19515) 5.25e-03 5.1e+02
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.257 1.121
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.079193 0.030762 2.574 0.01004 *
## dowMonday -0.261272 0.100388 -2.603 0.00925 **
## dowSaturday 0.520515 0.107365 4.848 1.25e-06 ***
## dowSunday 0.002201 0.102991 0.021 0.98295
## dowThursday -0.394568 0.098389 -4.010 6.06e-05 ***
## dowTuesday -0.746825 0.094102 -7.936 2.08e-15 ***
## dowWednesday -0.444648 0.099599 -4.464 8.03e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.2872 0.1613 -26.578
## (10,20]|(20,30] -3.3824 0.1454 -23.269
## (20,30]|(30,40] -2.4696 0.1373 -17.982
## (30,40]|(40,50] -1.5765 0.1337 -11.789
## (40,50]|(50,60] -0.6605 0.1321 -5.000
## (50,60]|(60,70] 0.5608 0.1320 4.249
## (60,70]|(70,80] 1.5166 0.1339 11.327
## (70,80]|(80,90] 2.6106 0.1392 18.758
## (80,90]|(90,100] 3.9695 0.1563 25.390
## (6400 observations deleted due to missingness)## [1] "BIC: "## [1] 18692.6PA ~ NL Pre_COVID
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations + time_of_day + precipi + mean_temp +
## distance + dow + (1 | subject)
## data: df[which(df$lockdown == 0), ]
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 4486 -8890.54 17823.08 957(5737) 7.75e+02 1.2e+08
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1 1
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.00246667 0.00048941 5.040 4.65e-07 ***
## time_of_day 0.00443046 0.00149934 2.955 0.003127 **
## precipi 0.12721492 0.17416526 0.730 0.465130
## mean_temp -0.01191610 0.00305673 -3.898 9.69e-05 ***
## distance 0.00006105 0.00007375 0.828 0.407742
## dowMonday -0.24975818 0.10719956 -2.330 0.019814 *
## dowSaturday 0.41888978 0.10613504 3.947 7.92e-05 ***
## dowSunday -0.10031150 0.10359235 -0.968 0.332880
## dowThursday -0.31718113 0.10051644 -3.156 0.001602 **
## dowTuesday -0.66771765 0.09682937 -6.896 5.36e-12 ***
## dowWednesday -0.36610888 0.10308538 -3.552 0.000383 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.4980 0.2690 -16.720
## (10,20]|(20,30] -3.6603 0.2605 -14.053
## (20,30]|(30,40] -2.8203 0.2565 -10.997
## (30,40]|(40,50] -2.0324 0.2548 -7.975
## (40,50]|(50,60] -1.2600 0.2541 -4.960
## (50,60]|(60,70] -0.2589 0.2535 -1.021
## (60,70]|(70,80] 0.5229 0.2536 2.062
## (70,80]|(80,90] 1.4212 0.2547 5.579
## (80,90]|(90,100] 2.6060 0.2617 9.960
## (6618 observations deleted due to missingness)## [1] "BIC: "## [1] 17957.67## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations + dow + (1 | subject)
## data: df[which(df$lockdown == 0), ]
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 4486 -8813.27 17660.55 1786(10853) 3.79e-01 6.4e+05
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.252 1.119
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.0035268 0.0004926 7.159 8.12e-13 ***
## dowMonday -0.1794433 0.1049249 -1.710 0.087228 .
## dowSaturday 0.4651903 0.1090316 4.267 1.99e-05 ***
## dowSunday -0.0239454 0.1040002 -0.230 0.817903
## dowThursday -0.3726155 0.1017977 -3.660 0.000252 ***
## dowTuesday -0.6966520 0.0978759 -7.118 1.10e-12 ***
## dowWednesday -0.3877805 0.1043200 -3.717 0.000201 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.3218 0.1489 -29.031
## (10,20]|(20,30] -3.4176 0.1298 -26.338
## (20,30]|(30,40] -2.4815 0.1198 -20.714
## (30,40]|(40,50] -1.5745 0.1152 -13.669
## (40,50]|(50,60] -0.6532 0.1131 -5.777
## (50,60]|(60,70] 0.5773 0.1130 5.111
## (60,70]|(70,80] 1.5517 0.1154 13.450
## (70,80]|(80,90] 2.6357 0.1216 21.673
## (80,90]|(90,100] 4.0018 0.1416 28.252
## (6618 observations deleted due to missingness)## [1] "BIC: "## [1] 17769.49RE ~ Lockdown
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ lockdown + time_of_day + precipi + mean_temp +
## distance + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 18289.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.8045 -0.6161 0.0784 0.6475 5.1130
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.08609 0.2934
## Residual 0.61030 0.7812
## Number of obs: 7600, groups: subject, 235
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.23332494 0.07637353 5203.81162561 29.242 < 2e-16 ***
## lockdown -1.37826352 0.02024977 7555.64423459 -68.063 < 2e-16 ***
## time_of_day -0.00086690 0.00052751 7433.35657459 -1.643 0.10035
## precipi -0.04195687 0.04408735 7412.04692778 -0.952 0.34129
## mean_temp 0.00336143 0.00092922 6822.53759508 3.617 0.00030 ***
## distance 0.00054220 0.00003119 7446.07458771 17.382 < 2e-16 ***
## dowMonday -0.15534584 0.03471771 7407.60561552 -4.475 0.00000777 ***
## dowSaturday -0.11232246 0.03582602 7386.67966176 -3.135 0.00172 **
## dowSunday -0.45042623 0.03566455 7389.61321366 -12.630 < 2e-16 ***
## dowThursday -0.05495296 0.03420568 7382.98487046 -1.607 0.10820
## dowTuesday -0.04916465 0.03393596 7393.23307331 -1.449 0.14745
## dowWednesday -0.09611265 0.03464714 7378.91899491 -2.774 0.00555 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) lckdwn tm_f_d precip mn_tmp distnc dwMndy dwStrd dwSndy
## lockdown -0.291
## time_of_day -0.208 0.005
## precipi -0.018 -0.200 0.022
## mean_temp -0.879 0.244 0.003 -0.048
## distance -0.067 0.113 0.009 0.000 0.039
## dowMonday -0.383 0.000 0.034 0.053 0.153 0.019
## dowSaturday -0.228 -0.037 -0.002 -0.043 0.003 -0.018 0.513
## dowSunday -0.315 0.018 -0.011 0.015 0.095 -0.041 0.530 0.500
## dowThursday -0.264 -0.030 -0.003 0.100 0.018 0.007 0.548 0.519 0.527
## dowTuesday -0.350 0.076 -0.003 -0.031 0.116 0.016 0.557 0.525 0.537
## dowWednesdy -0.271 0.006 0.001 0.047 0.030 0.008 0.538 0.512 0.520
## dwThrs dwTsdy
## lockdown
## time_of_day
## precipi
## mean_temp
## distance
## dowMonday
## dowSaturday
## dowSunday
## dowThursday
## dowTuesday 0.550
## dowWednesdy 0.544 0.544
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling## [1] "BIC: "## [1] 18414.96## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ lockdown + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 50657.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.8257 -0.6328 0.0263 0.6198 8.3853
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.1144 0.3382
## Residual 0.6973 0.8351
## Number of obs: 20179, groups: subject, 236
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.50502 0.02751 484.85536 91.046 < 2e-16 ***
## lockdown -1.27637 0.01223 20140.08462 -104.364 < 2e-16 ***
## dowMonday -0.18130 0.02205 19944.67274 -8.222 < 2e-16 ***
## dowSaturday -0.18098 0.02236 19944.74709 -8.093 6.14e-16 ***
## dowSunday -0.41082 0.02220 19946.22733 -18.502 < 2e-16 ***
## dowThursday -0.06820 0.02172 19943.51170 -3.140 0.00169 **
## dowTuesday -0.15661 0.02176 19944.87451 -7.198 6.35e-13 ***
## dowWednesday -0.12033 0.02180 19943.46055 -5.520 3.44e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) lckdwn dwMndy dwStrd dwSndy dwThrs dwTsdy
## lockdown -0.181
## dowMonday -0.394 -0.007
## dowSaturday -0.386 -0.024 0.487
## dowSunday -0.395 0.006 0.491 0.484
## dowThursday -0.399 -0.011 0.501 0.495 0.498
## dowTuesday -0.401 0.000 0.501 0.493 0.497 0.508
## dowWednesdy -0.401 0.005 0.500 0.492 0.496 0.507 0.506## [1] "BIC: "## [1] 50756.72NL ~ Lockdown
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: novel_locations ~ lockdown + time_of_day + precipi + mean_temp +
## distance + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 78122.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -8.5540 -0.5112 -0.1836 0.2604 13.2159
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 196 14.00
## Residual 2222 47.14
## Number of obs: 7382, groups: subject, 235
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 79.46594920 4.52258822 4680.14234864 17.571 < 2e-16 ***
## lockdown -34.01416743 1.22752270 7367.45084975 -27.710 < 2e-16 ***
## time_of_day -0.00002221 0.03226673 7240.86793319 -0.001 0.99945
## precipi -2.32062583 2.66456683 7215.83312960 -0.871 0.38383
## mean_temp -0.27670139 0.05542853 5473.36047005 -4.992 6.16e-07 ***
## distance 0.05593241 0.00188585 7261.30932870 29.659 < 2e-16 ***
## dowMonday -14.11917046 2.14502091 7202.55129276 -6.582 4.96e-11 ***
## dowSaturday 7.07487999 2.19149956 7175.91165405 3.228 0.00125 **
## dowSunday -12.14535664 2.18625649 7181.69262052 -5.555 2.87e-08 ***
## dowThursday -8.38355531 2.10313960 7173.92850023 -3.986 6.78e-05 ***
## dowTuesday -16.91209404 2.08512427 7184.91787399 -8.111 5.87e-16 ***
## dowWednesday -10.35630317 2.15075756 7169.52112856 -4.815 1.50e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) lckdwn tm_f_d precip mn_tmp distnc dwMndy dwStrd dwSndy
## lockdown -0.296
## time_of_day -0.215 0.003
## precipi -0.021 -0.195 0.022
## mean_temp -0.882 0.241 0.003 -0.049
## distance -0.070 0.115 0.008 0.001 0.040
## dowMonday -0.387 -0.003 0.037 0.055 0.142 0.017
## dowSaturday -0.240 -0.029 -0.002 -0.038 -0.001 -0.017 0.521
## dowSunday -0.324 0.024 -0.013 0.020 0.088 -0.040 0.536 0.512
## dowThursday -0.273 -0.025 -0.003 0.103 0.011 0.007 0.553 0.530 0.538
## dowTuesday -0.357 0.080 -0.001 -0.026 0.105 0.016 0.561 0.536 0.547
## dowWednesdy -0.280 0.004 0.000 0.047 0.027 0.006 0.539 0.519 0.525
## dwThrs dwTsdy
## lockdown
## time_of_day
## precipi
## mean_temp
## distance
## dowMonday
## dowSaturday
## dowSunday
## dowThursday
## dowTuesday 0.559
## dowWednesdy 0.548 0.549
## fit warnings:
## Some predictor variables are on very different scales: consider rescaling## [1] "BIC: "## [1] 78246.84## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: novel_locations ~ lockdown + dow + (1 | subject)
## Data: df
##
## REML criterion at convergence: 201341.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.0560 -0.5151 -0.2065 0.2194 18.1264
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 287.2 16.95
## Residual 2878.1 53.65
## Number of obs: 18594, groups: subject, 236
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 65.4615 1.5660 702.9386 41.802 < 2e-16 ***
## lockdown -29.9202 0.8134 18586.0000 -36.783 < 2e-16 ***
## dowMonday -15.9583 1.4763 18360.9852 -10.810 < 2e-16 ***
## dowSaturday 3.0628 1.4973 18362.4381 2.046 0.0408 *
## dowSunday -8.3229 1.4870 18363.3419 -5.597 0.0000000221 ***
## dowThursday -7.5872 1.4519 18359.8449 -5.226 0.0000001753 ***
## dowTuesday -13.5934 1.4553 18361.3992 -9.341 < 2e-16 ***
## dowWednesday -12.2980 1.4581 18359.8400 -8.434 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) lckdwn dwMndy dwStrd dwSndy dwThrs dwTsdy
## lockdown -0.231
## dowMonday -0.462 -0.008
## dowSaturday -0.451 -0.027 0.486
## dowSunday -0.463 0.006 0.489 0.483
## dowThursday -0.469 -0.012 0.501 0.494 0.497
## dowTuesday -0.471 0.000 0.500 0.493 0.497 0.509
## dowWednesdy -0.471 0.005 0.499 0.492 0.495 0.507 0.506## [1] "BIC: "## [1] 201440.1PA ~ Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ lockdown + time_of_day + precipi + mean_temp + distance +
## dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7600 -15035.01 30112.03 957(6690) 3.41e+02 5.5e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1 1
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## lockdown -0.48615696 0.04411914 -11.019 < 2e-16 ***
## time_of_day 0.00171194 0.00114272 1.498 0.134103
## precipi -0.14386930 0.09567485 -1.504 0.132650
## mean_temp -0.00154252 0.00205396 -0.751 0.452653
## distance 0.00023562 0.00007235 3.257 0.001127 **
## dowMonday -0.23332399 0.07483106 -3.118 0.001821 **
## dowSaturday 0.28020332 0.07746900 3.617 0.000298 ***
## dowSunday 0.03189315 0.07692331 0.415 0.678428
## dowThursday -0.24300966 0.07367834 -3.298 0.000973 ***
## dowTuesday -0.42913976 0.07307227 -5.873 0.00000000428 ***
## dowWednesday -0.25549960 0.07522636 -3.396 0.000683 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.7134 0.1849 -20.086
## (10,20]|(20,30] -2.9295 0.1800 -16.271
## (20,30]|(30,40] -2.1794 0.1778 -12.261
## (30,40]|(40,50] -1.4462 0.1767 -8.186
## (40,50]|(50,60] -0.6642 0.1762 -3.770
## (50,60]|(60,70] 0.3244 0.1762 1.842
## (60,70]|(70,80] 1.0928 0.1767 6.185
## (70,80]|(80,90] 1.9905 0.1785 11.153
## (80,90]|(90,100] 3.1204 0.1854 16.834
## (20810 observations deleted due to missingness)## [1] "BIC: "## [1] 30257.68## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ lockdown + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7600 -14867.69 29769.38 3447(20982) 4.33e-03 4.5e+02
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.39 1.179
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## lockdown -0.63442 0.04392 -14.446 < 2e-16 ***
## dowMonday -0.26516 0.07720 -3.435 0.000593 ***
## dowSaturday 0.34884 0.08113 4.300 1.71e-05 ***
## dowSunday 0.06021 0.08006 0.752 0.452048
## dowThursday -0.27182 0.07667 -3.545 0.000392 ***
## dowTuesday -0.51421 0.07593 -6.772 1.27e-11 ***
## dowWednesday -0.30702 0.07877 -3.898 9.71e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.31902 0.11769 -36.697
## (10,20]|(20,30] -3.45427 0.10810 -31.954
## (20,30]|(30,40] -2.59811 0.10314 -25.189
## (30,40]|(40,50] -1.73118 0.10052 -17.222
## (40,50]|(50,60] -0.77450 0.09907 -7.817
## (50,60]|(60,70] 0.46241 0.09888 4.676
## (60,70]|(70,80] 1.43093 0.10048 14.241
## (70,80]|(80,90] 2.52825 0.10530 24.010
## (80,90]|(90,100] 3.86978 0.12133 31.894
## (20810 observations deleted due to missingness)## [1] "BIC: "## [1] 29887.29NA ~ Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: NA_avg ~ lockdown + time_of_day + precipi + mean_temp + distance +
## dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7600 -15090.13 30222.27 1002(7006) 6.52e+02 5.5e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1 1
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## lockdown 0.28522125 0.04332065 6.584 4.58e-11 ***
## time_of_day -0.00255526 0.00112257 -2.276 0.022830 *
## precipi 0.10976142 0.09367868 1.172 0.241326
## mean_temp -0.00091666 0.00202580 -0.452 0.650914
## distance -0.00018732 0.00007119 -2.631 0.008504 **
## dowMonday 0.05313203 0.07395080 0.718 0.472463
## dowSaturday -0.26692346 0.07663285 -3.483 0.000496 ***
## dowSunday -0.08464638 0.07592952 -1.115 0.264935
## dowThursday 0.11687317 0.07296065 1.602 0.109185
## dowTuesday 0.26907521 0.07197059 3.739 0.000185 ***
## dowWednesday 0.12373908 0.07396886 1.673 0.094356 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -2.3119 0.1765 -13.099
## (10,20]|(20,30] -1.4324 0.1748 -8.197
## (20,30]|(30,40] -0.7783 0.1742 -4.467
## (30,40]|(40,50] -0.1913 0.1741 -1.099
## (40,50]|(50,60] 0.4919 0.1742 2.825
## (50,60]|(60,70] 1.4094 0.1749 8.058
## (60,70]|(70,80] 2.0754 0.1762 11.778
## (70,80]|(80,90] 2.9628 0.1798 16.480
## (80,90]|(90,100] 3.8164 0.1878 20.326
## (20810 observations deleted due to missingness)## [1] "BIC: "## [1] 30367.92## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: NA_avg ~ lockdown + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7600 -14728.70 29491.40 3147(24948) 3.24e-02 6.3e+02
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.259 1.503
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## lockdown 0.36413 0.04369 8.334 < 2e-16 ***
## dowMonday 0.13688 0.07739 1.769 0.076956 .
## dowSaturday -0.31120 0.08152 -3.817 0.000135 ***
## dowSunday -0.09212 0.08015 -1.149 0.250416
## dowThursday 0.21003 0.07716 2.722 0.006489 **
## dowTuesday 0.41859 0.07590 5.515 0.0000000349 ***
## dowWednesday 0.18908 0.07858 2.406 0.016120 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -2.951914 0.123081 -23.983
## (10,20]|(20,30] -1.765735 0.118439 -14.908
## (20,30]|(30,40] -0.835310 0.116820 -7.150
## (30,40]|(40,50] 0.007914 0.116338 0.068
## (40,50]|(50,60] 0.961772 0.116755 8.238
## (50,60]|(60,70] 2.165868 0.118838 18.225
## (60,70]|(70,80] 2.998266 0.121813 24.614
## (70,80]|(80,90] 4.061267 0.129392 31.387
## (80,90]|(90,100] 5.031805 0.143870 34.975
## (20810 observations deleted due to missingness)## [1] "BIC: "## [1] 29609.31PA ~ RE * Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * lockdown + time_of_day + precipi +
## mean_temp + distance + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7600 -15031.29 30108.59 1161(8120) 3.00e+02 6.3e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1 1
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.03345238 0.02899679 1.154 0.248640
## lockdown -0.49581584 0.08788325 -5.642 0.0000000168 ***
## time_of_day 0.00174719 0.00114305 1.529 0.126381
## precipi -0.14217225 0.09577072 -1.485 0.137675
## mean_temp -0.00144264 0.00206312 -0.699 0.484393
## distance 0.00021344 0.00007328 2.912 0.003586 **
## dowMonday -0.22523312 0.07492978 -3.006 0.002648 **
## dowSaturday 0.27728500 0.07792545 3.558 0.000373 ***
## dowSunday 0.04996925 0.07807157 0.640 0.522144
## dowThursday -0.24191548 0.07369719 -3.283 0.001029 **
## dowTuesday -0.42565404 0.07310620 -5.822 0.0000000058 ***
## dowWednesday -0.24905429 0.07530923 -3.307 0.000943 ***
## roaming_entropy:lockdown 0.06370429 0.05349863 1.191 0.233746
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.6245 0.1947 -18.615
## (10,20]|(20,30] -2.8407 0.1901 -14.945
## (20,30]|(30,40] -2.0905 0.1879 -11.126
## (30,40]|(40,50] -1.3569 0.1869 -7.261
## (40,50]|(50,60] -0.5745 0.1865 -3.081
## (50,60]|(60,70] 0.4144 0.1865 2.222
## (60,70]|(70,80] 1.1831 0.1870 6.326
## (70,80]|(80,90] 2.0813 0.1888 11.026
## (80,90]|(90,100] 3.2116 0.1954 16.438
## (20810 observations deleted due to missingness)## [1] "BIC: "## [1] 30268.12
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * lockdown + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7600 -14862.26 29762.52 4220(25554) 8.90e-03 6.9e+02
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.39 1.179
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.05323 0.02966 1.795 0.072724 .
## lockdown -0.63438 0.09120 -6.956 3.50e-12 ***
## dowMonday -0.25323 0.07731 -3.276 0.001054 **
## dowSaturday 0.34511 0.08156 4.231 2.32e-05 ***
## dowSunday 0.08592 0.08117 1.058 0.289849
## dowThursday -0.26915 0.07667 -3.511 0.000447 ***
## dowTuesday -0.51081 0.07596 -6.725 1.76e-11 ***
## dowWednesday -0.29746 0.07884 -3.773 0.000161 ***
## roaming_entropy:lockdown 0.08498 0.05580 1.523 0.127799
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.1888 0.1387 -30.204
## (10,20]|(20,30] -3.3243 0.1306 -25.455
## (20,30]|(30,40] -2.4679 0.1265 -19.510
## (30,40]|(40,50] -1.6002 0.1245 -12.858
## (40,50]|(50,60] -0.6427 0.1234 -5.209
## (50,60]|(60,70] 0.5949 0.1233 4.823
## (60,70]|(70,80] 1.5644 0.1248 12.537
## (70,80]|(80,90] 2.6631 0.1289 20.663
## (80,90]|(90,100] 4.0057 0.1425 28.108
## (20810 observations deleted due to missingness)## [1] "BIC: "## [1] 29894.3
PA ~ NL * Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * lockdown + time_of_day + precipi +
## mean_temp + distance + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7382 -14568.70 29183.41 1137(7782) 4.14e+02 4.2e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1 1
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.00283397 0.00047526 5.963 2.48e-09 ***
## lockdown -0.37995331 0.05361577 -7.087 1.37e-12 ***
## time_of_day 0.00227201 0.00102767 2.211 0.027047 *
## precipi -0.15142037 0.09615055 -1.575 0.115297
## mean_temp -0.00106289 0.00152663 -0.696 0.486284
## distance 0.00007165 0.00007204 0.995 0.319971
## dowMonday -0.18116083 0.07646325 -2.369 0.017824 *
## dowSaturday 0.27251960 0.07875440 3.460 0.000539 ***
## dowSunday 0.06315103 0.07833200 0.806 0.420129
## dowThursday -0.22507595 0.07529295 -2.989 0.002796 **
## dowTuesday -0.39099931 0.07463978 -5.238 1.62e-07 ***
## dowWednesday -0.21448446 0.07754861 -2.766 0.005678 **
## novel_locations:lockdown -0.00143087 0.00108314 -1.321 0.186489
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.5252 0.1562 -22.568
## (10,20]|(20,30] -2.7437 0.1502 -18.271
## (20,30]|(30,40] -1.9858 0.1473 -13.486
## (30,40]|(40,50] -1.2477 0.1459 -8.554
## (40,50]|(50,60] -0.4619 0.1452 -3.181
## (50,60]|(60,70] 0.5322 0.1451 3.668
## (60,70]|(70,80] 1.3105 0.1457 8.993
## (70,80]|(80,90] 2.2025 0.1478 14.898
## (80,90]|(90,100] 3.3334 0.1561 21.355
## (21028 observations deleted due to missingness)## [1] "BIC: "## [1] 29342.27
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * lockdown + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7382 -14399.39 28836.78 2613(15958) 4.24e-01 6.5e+05
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.394 1.18
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.0035726 0.0004885 7.313 2.60e-13 ***
## lockdown -0.4888271 0.0554096 -8.822 < 2e-16 ***
## dowMonday -0.2028731 0.0793864 -2.556 0.01060 *
## dowSaturday 0.3277272 0.0825058 3.972 7.12e-05 ***
## dowSunday 0.0870023 0.0816766 1.065 0.28678
## dowThursday -0.2503839 0.0783401 -3.196 0.00139 **
## dowTuesday -0.4681178 0.0778627 -6.012 1.83e-09 ***
## dowWednesday -0.2512366 0.0811878 -3.095 0.00197 **
## novel_locations:lockdown -0.0014190 0.0011371 -1.248 0.21207
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.1354 0.1229 -33.646
## (10,20]|(20,30] -3.2735 0.1134 -28.867
## (20,30]|(30,40] -2.4087 0.1085 -22.201
## (30,40]|(40,50] -1.5348 0.1060 -14.480
## (40,50]|(50,60] -0.5731 0.1047 -5.473
## (50,60]|(60,70] 0.6720 0.1048 6.410
## (60,70]|(70,80] 1.6561 0.1067 15.517
## (70,80]|(80,90] 2.7501 0.1117 24.614
## (80,90]|(90,100] 4.0999 0.1277 32.095
## (21028 observations deleted due to missingness)## [1] "BIC: "## [1] 28968.01
PA ~ Distance * Lockdown Varying Distances
PA ~ RE * Pre_COVID_RE Post-Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * pre_covid_re + time_of_day + precipi +
## mean_temp + distance + dow + (1 | subject)
## data: df[which(df$lockdown == 1), ]
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 2896 -5550.37 11146.73 3834(34646) 6.11e-01 1.7e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.484 1.576
## Number of groups: subject 208
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy -0.00799575 0.37573573 -0.021 0.98302
## pre_covid_re 0.18561728 0.33173030 0.560 0.57579
## time_of_day -0.00077989 0.00201420 -0.387 0.69861
## precipi -0.38354870 0.13143338 -2.918 0.00352 **
## mean_temp 0.00758706 0.00510628 1.486 0.13732
## distance -0.00007953 0.00071501 -0.111 0.91143
## dowMonday -0.17206523 0.12523578 -1.374 0.16946
## dowSaturday 0.27745614 0.13265442 2.092 0.03648 *
## dowSunday 0.34291438 0.13542410 2.532 0.01134 *
## dowThursday -0.06323465 0.12521586 -0.505 0.61356
## dowTuesday 0.07124259 0.13383464 0.532 0.59451
## dowWednesday 0.00687014 0.13288056 0.052 0.95877
## roaming_entropy:pre_covid_re 0.10407578 0.15403881 0.676 0.49927
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -2.73893 0.89612 -3.056
## (10,20]|(20,30] -1.82546 0.89406 -2.042
## (20,30]|(30,40] -0.95020 0.89308 -1.064
## (30,40]|(40,50] -0.04017 0.89267 -0.045
## (40,50]|(50,60] 1.06799 0.89289 1.196
## (50,60]|(60,70] 2.45102 0.89364 2.743
## (60,70]|(70,80] 3.53817 0.89506 3.953
## (70,80]|(80,90] 4.74070 0.89846 5.276
## (80,90]|(90,100] 6.12289 0.90729 6.749
## (6179 observations deleted due to missingness)## [1] "BIC: "## [1] 11284.07## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * pre_covid_re + +dow + (1 | subject)
## data: df[which(df$lockdown == 1), ]
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 2896 -5555.81 11149.61 2839(27959) 5.72e+00 5.8e+03
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.486 1.577
## Number of groups: subject 208
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.069111 0.003050 22.661 < 2e-16 ***
## pre_covid_re 0.169707 0.003037 55.871 < 2e-16 ***
## dowMonday -0.207506 0.003089 -67.175 < 2e-16 ***
## dowSaturday 0.181929 0.003087 58.929 < 2e-16 ***
## dowSunday 0.303363 0.003085 98.328 < 2e-16 ***
## dowThursday -0.061897 0.003087 -20.052 < 2e-16 ***
## dowTuesday 0.020698 0.003086 6.708 1.98e-11 ***
## dowWednesday -0.025345 0.003087 -8.212 < 2e-16 ***
## roaming_entropy:pre_covid_re 0.073653 0.002970 24.795 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.206273 0.003068 -1045.16
## (10,20]|(20,30] -2.295589 0.003079 -745.49
## (20,30]|(30,40] -1.422244 0.003076 -462.31
## (30,40]|(40,50] -0.514941 0.003081 -167.13
## (40,50]|(50,60] 0.590722 0.042265 13.98
## (50,60]|(60,70] 1.969253 0.060396 32.61
## (60,70]|(70,80] 3.055603 0.077136 39.61
## (70,80]|(80,90] 4.253363 0.104544 40.69
## (80,90]|(90,100] 5.630289 0.160115 35.16
## (6179 observations deleted due to missingness)## [1] "BIC: "## [1] 11263.06PA ~ NL * Pre_COVID_RE Post-Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * pre_covid_re + time_of_day + precipi +
## mean_temp + distance + dow + (1 | subject)
## data: df[which(df$lockdown == 1), ]
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 2896 -5553.70 11153.39 4278(38043) 1.19e+00 4.5e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.461 1.569
## Number of groups: subject 208
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.0113319 0.0100507 1.127 0.25954
## pre_covid_re 0.3363326 0.3173020 1.060 0.28916
## time_of_day -0.0009542 0.0020125 -0.474 0.63539
## precipi -0.3872828 0.1311313 -2.953 0.00314 **
## mean_temp 0.0078008 0.0051011 1.529 0.12621
## distance -0.0001403 0.0007782 -0.180 0.85696
## dowMonday -0.1803323 0.1252907 -1.439 0.15006
## dowSaturday 0.2867271 0.1326573 2.161 0.03066 *
## dowSunday 0.3411841 0.1353792 2.520 0.01173 *
## dowThursday -0.0649012 0.1253717 -0.518 0.60469
## dowTuesday 0.0754820 0.1337134 0.565 0.57241
## dowWednesday -0.0033118 0.1328766 -0.025 0.98012
## novel_locations:pre_covid_re -0.0029138 0.0039994 -0.729 0.46627
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -2.5098 0.8689 -2.889
## (10,20]|(20,30] -1.5971 0.8668 -1.843
## (20,30]|(30,40] -0.7233 0.8657 -0.835
## (30,40]|(40,50] 0.1858 0.8654 0.215
## (40,50]|(50,60] 1.2918 0.8658 1.492
## (50,60]|(60,70] 2.6732 0.8667 3.084
## (60,70]|(70,80] 3.7602 0.8682 4.331
## (70,80]|(80,90] 4.9602 0.8717 5.690
## (80,90]|(90,100] 6.3385 0.8810 7.195
## (6179 observations deleted due to missingness)## [1] "BIC: "## [1] 11290.73## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * pre_covid_re + dow + (1 | subject)
## data: df[which(df$lockdown == 1), ]
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 2896 -5559.35 11156.71 2196(21200) 4.21e-01 3.0e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.471 1.572
## Number of groups: subject 208
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.011635 0.009999 1.164 0.2446
## pre_covid_re 0.278096 0.313261 0.888 0.3747
## dowMonday -0.215775 0.124486 -1.733 0.0830 .
## dowSaturday 0.191241 0.129188 1.480 0.1388
## dowSunday 0.301928 0.134201 2.250 0.0245 *
## dowThursday -0.063954 0.125219 -0.511 0.6095
## dowTuesday 0.024394 0.132021 0.185 0.8534
## dowWednesday -0.037227 0.131669 -0.283 0.7774
## novel_locations:pre_covid_re -0.003046 0.003997 -0.762 0.4459
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.0939 0.7529 -4.109
## (10,20]|(20,30] -2.1832 0.7503 -2.910
## (20,30]|(30,40] -1.3104 0.7492 -1.749
## (30,40]|(40,50] -0.4024 0.7489 -0.537
## (40,50]|(50,60] 0.7007 0.7491 0.935
## (50,60]|(60,70] 2.0801 0.7497 2.775
## (60,70]|(70,80] 3.1670 0.7510 4.217
## (70,80]|(80,90] 4.3647 0.7545 5.785
## (80,90]|(90,100] 5.7404 0.7645 7.509
## (6179 observations deleted due to missingness)## [1] "BIC: "## [1] 11270.16```