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‎.nojekyll‎

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‎bayesian.html‎

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‎hlm.html‎

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Original file line numberDiff line numberDiff line change
@@ -766,17 +766,17 @@
766766

767767
Random effects:
768768
Groups Name Variance Std.Dev. Corr
769-
id (Intercept) 62.5364 7.9080
769+
id (Intercept) 62.5365 7.9080
770770
ageYearsCentered 0.6767 0.8226 0.08
771771
Residual 32.1505 5.6701
772772
Number of obs: 2221, groups: id, 932
773773

774774
Fixed effects:
775775
Estimate Std. Error df t value Pr(>|t|)
776-
(Intercept) 30.51401 0.56142 752.48793 54.352 <2e-16 ***
777-
sexfemale -0.61290 0.79482 736.39935 -0.771 0.441
778-
ageYearsCentered 4.26792 0.11253 610.09447 37.925 <2e-16 ***
779-
sexfemale:ageYearsCentered -0.02558 0.16092 598.89192 -0.159 0.874
776+
(Intercept) 30.51401 0.56142 752.48747 54.352 <2e-16 ***
777+
sexfemale -0.61290 0.79482 736.39886 -0.771 0.441
778+
ageYearsCentered 4.26792 0.11253 610.09410 37.925 <2e-16 ***
779+
sexfemale:ageYearsCentered -0.02558 0.16092 598.89155 -0.159 0.874
780780
---
781781
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
782782

@@ -920,12 +920,12 @@
920920
<div class="cell-output cell-output-stdout">
921921
<pre><code>$id
922922
(Intercept) ageYearsCentered
923-
201 1.125314 0.2140256
924-
303 -12.515505 -0.6614903
925-
2702 12.257489 0.4307636
926-
4303 2.727957 0.2850021
923+
201 1.125314 0.2140257
924+
303 -12.515509 -0.6614897
925+
2702 12.257492 0.4307630
926+
4303 2.727958 0.2850021
927927
5002 1.943701 0.1707896
928-
5005 4.045982 0.1202869
928+
5005 4.045983 0.1202867
929929

930930
with conditional variances for "id" </code></pre>
931931
</div>
@@ -951,15 +951,15 @@
951951
Random effects:
952952
Formula: ~1 + ageYearsCentered | id
953953
Structure: General positive-definite, Log-Cholesky parametrization
954-
StdDev Corr
955-
(Intercept) 7.907998 (Intr)
956-
ageYearsCentered 0.822593 0.082
957-
Residual 5.670138
954+
StdDev Corr
955+
(Intercept) 7.9079987 (Intr)
956+
ageYearsCentered 0.8225933 0.082
957+
Residual 5.6701380
958958

959959
Fixed effects: math ~ sex + ageYearsCentered + sex:ageYearsCentered
960960
Value Std.Error DF t-value p-value
961961
(Intercept) 30.514011 0.5619217 1287 54.30296 0.0000
962-
sexfemale -0.612896 0.7955332 930 -0.77042 0.4412
962+
sexfemale -0.612896 0.7955333 930 -0.77042 0.4412
963963
ageYearsCentered 4.267923 0.1126360 1287 37.89130 0.0000
964964
sexfemale:ageYearsCentered -0.025585 0.1610671 1287 -0.15885 0.8738
965965
Correlation:
@@ -970,7 +970,7 @@
970970

971971
Standardized Within-Group Residuals:
972972
Min Q1 Med Q3 Max
973-
-3.375035255 -0.517409820 0.005105066 0.523910820 2.639557753
973+
-3.375034869 -0.517409797 0.005105047 0.523910718 2.639557775
974974

975975
Number of Observations: 2221
976976
Number of Groups: 932 </code></pre>
@@ -997,7 +997,7 @@
997997
</details><div class="cell-output-display">
998998
<div data-pagedtable="false">
999999
<script data-pagedtable-source="" type="application/json">
1000-
{"columns":[{"label":["ICC_adjusted"],"name":[1],"type":["dbl"],"align":["right"]},{"label":["ICC_unadjusted"],"name":[2],"type":["dbl"],"align":["right"]},{"label":["optional"],"name":[3],"type":["lgl"],"align":["right"]}],"data":[{"1":"0.7088601","2":"0.4552299","3":"FALSE"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
1000+
{"columns":[{"label":["ICC_adjusted"],"name":[1],"type":["dbl"],"align":["right"]},{"label":["ICC_unadjusted"],"name":[2],"type":["dbl"],"align":["right"]},{"label":["optional"],"name":[3],"type":["lgl"],"align":["right"]}],"data":[{"1":"0.7088602","2":"0.4552299","3":"FALSE"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
10011001
</script>
10021002
</div>
10031003
</div>
@@ -1046,10 +1046,10 @@
10461046

10471047
Fixed effects:
10481048
Estimate Std. Error df t value Pr(&gt;|t|)
1049-
(Intercept) 29.87438 0.75758 211.81837 39.434 &lt;2e-16
1050-
sexfemale -0.38123 0.82243 1960.43205 -0.464 0.643
1051-
ageYearsCentered 4.26419 0.14813 132.95738 28.786 &lt;2e-16
1052-
sexfemale:ageYearsCentered -0.08143 0.14596 1364.56013 -0.558 0.577
1049+
(Intercept) 29.87438 0.75758 211.81838 39.434 &lt;2e-16
1050+
sexfemale -0.38123 0.82243 1960.43213 -0.464 0.643
1051+
ageYearsCentered 4.26419 0.14813 132.95739 28.786 &lt;2e-16
1052+
sexfemale:ageYearsCentered -0.08143 0.14596 1364.56012 -0.558 0.577
10531053

10541054
(Intercept) ***
10551055
sexfemale
@@ -1154,12 +1154,12 @@
11541154

11551155
Fixed effects:
11561156
Estimate Std. Error df t value
1157-
(Intercept) 23.43112 0.84914 1380.85496 27.594
1158-
sexfemale 0.61167 1.18734 1370.91652 0.515
1159-
ageYearsCentered 8.79334 0.42555 1381.21271 20.664
1160-
ageYearsCenteredSquared -0.57623 0.05255 1382.10814 -10.966
1161-
sexfemale:ageYearsCentered -0.62379 0.60301 1386.34425 -1.034
1162-
sexfemale:ageYearsCenteredSquared 0.05700 0.07582 1393.17384 0.752
1157+
(Intercept) 23.43112 0.84914 1380.85816 27.594
1158+
sexfemale 0.61167 1.18734 1370.91791 0.515
1159+
ageYearsCentered 8.79334 0.42555 1381.21301 20.664
1160+
ageYearsCenteredSquared -0.57623 0.05255 1382.10819 -10.966
1161+
sexfemale:ageYearsCentered -0.62379 0.60301 1386.34429 -1.034
1162+
sexfemale:ageYearsCenteredSquared 0.05700 0.07582 1393.17373 0.752
11631163
Pr(&gt;|t|)
11641164
(Intercept) &lt;2e-16 ***
11651165
sexfemale 0.607
@@ -1230,12 +1230,12 @@
12301230

12311231
Fixed effects:
12321232
Estimate Std. Error df t value
1233-
(Intercept) 23.43112 0.84914 1380.85496 27.594
1234-
sexfemale 0.61167 1.18734 1370.91652 0.515
1235-
ageYearsCentered 8.79334 0.42555 1381.21271 20.664
1236-
I(ageYearsCentered^2) -0.57623 0.05255 1382.10814 -10.966
1237-
sexfemale:ageYearsCentered -0.62379 0.60301 1386.34425 -1.034
1238-
sexfemale:I(ageYearsCentered^2) 0.05700 0.07582 1393.17384 0.752
1233+
(Intercept) 23.43112 0.84914 1380.85816 27.594
1234+
sexfemale 0.61167 1.18734 1370.91791 0.515
1235+
ageYearsCentered 8.79334 0.42555 1381.21301 20.664
1236+
I(ageYearsCentered^2) -0.57623 0.05255 1382.10819 -10.966
1237+
sexfemale:ageYearsCentered -0.62379 0.60301 1386.34429 -1.034
1238+
sexfemale:I(ageYearsCentered^2) 0.05700 0.07582 1393.17373 0.752
12391239
Pr(&gt;|t|)
12401240
(Intercept) &lt;2e-16 ***
12411241
sexfemale 0.607
@@ -1398,12 +1398,12 @@
13981398
<div class="cell-output cell-output-stdout">
13991399
<pre><code>$id
14001400
(Intercept) ageYearsCentered
1401-
201 0.3392873 0.2048916
1402-
303 -14.2395534 -0.5404367
1403-
2702 13.6789231 0.6053895
1404-
4303 1.8792651 0.2622510
1405-
5002 1.6186753 0.3766873
1406-
5005 5.0034214 0.1103063
1401+
201 0.3392871 0.2048916
1402+
303 -14.2395541 -0.5404362
1403+
2702 13.6789236 0.6053891
1404+
4303 1.8792650 0.2622509
1405+
5002 1.6186752 0.3766872
1406+
5005 5.0034217 0.1103062
14071407

14081408
with conditional variances for "id" </code></pre>
14091409
</div>
@@ -1454,14 +1454,14 @@
14541454

14551455
Fixed effects:
14561456
Estimate Std. Error df t value Pr(&gt;|t|)
1457-
(Intercept) 25.9318 0.7222 1223.0127 35.909 &lt; 2e-16
1458-
sexfemale 0.3473 1.0060 1208.6797 0.345 0.730
1457+
(Intercept) 25.9318 0.7222 1223.0139 35.909 &lt; 2e-16
1458+
sexfemale 0.3473 1.0060 1208.6807 0.345 0.730
14591459
ageYearsCentered 6.2092 0.2328 1374.3269 26.674 &lt; 2e-16
1460-
knot 12.6515 1.8238 1241.0680 6.937 6.43e-12
1460+
knot 12.6515 1.8238 1241.0685 6.937 6.43e-12
14611461
sexfemale:ageYearsCentered -0.3785 0.3240 1373.1043 -1.168 0.243
1462-
ageYearsCentered:knot -3.4908 0.3746 1283.6769 -9.318 &lt; 2e-16
1463-
sexfemale:knot -1.2105 2.6098 1234.2545 -0.464 0.643
1464-
sexfemale:ageYearsCentered:knot 0.3530 0.5383 1279.7383 0.656 0.512
1462+
ageYearsCentered:knot -3.4908 0.3746 1283.6771 -9.318 &lt; 2e-16
1463+
sexfemale:knot -1.2105 2.6098 1234.2550 -0.464 0.643
1464+
sexfemale:ageYearsCentered:knot 0.3530 0.5383 1279.7386 0.656 0.512
14651465

14661466
(Intercept) ***
14671467
sexfemale
@@ -1623,12 +1623,12 @@
16231623
<div class="cell-output cell-output-stdout">
16241624
<pre><code>$id
16251625
(Intercept) ageYearsCentered
1626-
201 0.6521453 0.2083234
1627-
303 -13.9003823 -0.5384101
1628-
2702 13.2487019 0.4885446
1629-
4303 2.1236182 0.2695864
1630-
5002 1.8135055 0.3311534
1631-
5005 4.9145710 0.1306295
1626+
201 0.652145 0.2083235
1627+
303 -13.900383 -0.5384101
1628+
2702 13.248702 0.4885446
1629+
4303 2.123618 0.2695865
1630+
5002 1.813505 0.3311535
1631+
5005 4.914571 0.1306295
16321632

16331633
with conditional variances for "id" </code></pre>
16341634
</div>
@@ -1663,7 +1663,7 @@
16631663

16641664
Random effects:
16651665
Groups Name Variance Std.Dev. Corr
1666-
id (Intercept) 0.0058308 0.07636
1666+
id (Intercept) 0.0058309 0.07636
16671667
ageYearsCentered 0.0002845 0.01687 -1.00
16681668
Number of obs: 2221, groups: id, 932
16691669

@@ -1719,8 +1719,8 @@
17191719
Formula: ~1 + ageYearsCentered | id
17201720
Structure: General positive-definite, Log-Cholesky parametrization
17211721
StdDev Corr
1722-
(Intercept) 4.254093e-05 (Intr)
1723-
ageYearsCentered 6.047776e-08 0
1722+
(Intercept) 5.533290e-05 (Intr)
1723+
ageYearsCentered 9.320922e-08 0
17241724
Residual 1.014184e+00
17251725

17261726
Variance function:
@@ -1738,7 +1738,7 @@
17381738

17391739
Standardized Within-Group Residuals:
17401740
Min Q1 Med Q3 Max
1741-
-2.00970269 -0.55110605 -0.02158036 0.53179574 4.98914422
1741+
-2.00970268 -0.55110605 -0.02158036 0.53179575 4.98914420
17421742

17431743
Number of Observations: 2221
17441744
Number of Groups: 932 </code></pre>
@@ -2228,7 +2228,7 @@
22282228

22292229
Standardized Within-Group Residuals:
22302230
Min Q1 Med Q3 Max
2231-
-3.37982975 -0.51663213 0.00445497 0.52228733 2.63205084
2231+
-3.37982974 -0.51663213 0.00445497 0.52228733 2.63205084
22322232

22332233
Number of Observations: 2221
22342234
Number of Groups: 932 </code></pre>

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