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‎.nojekyll‎

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‎bayesian.html‎

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‎hlm.html‎

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@@ -764,17 +764,17 @@
764764

765765
Random effects:
766766
Groups Name Variance Std.Dev. Corr
767-
id (Intercept) 62.5364 7.9080
767+
id (Intercept) 62.5365 7.9080
768768
ageYearsCentered 0.6767 0.8226 0.08
769769
Residual 32.1505 5.6701
770770
Number of obs: 2221, groups: id, 932
771771

772772
Fixed effects:
773773
Estimate Std. Error df t value Pr(>|t|)
774-
(Intercept) 30.51401 0.56142 752.48793 54.352 <2e-16 ***
775-
female -0.61290 0.79482 736.39935 -0.771 0.441
776-
ageYearsCentered 4.26792 0.11253 610.09447 37.925 <2e-16 ***
777-
female:ageYearsCentered -0.02558 0.16092 598.89192 -0.159 0.874
774+
(Intercept) 30.51401 0.56142 752.48747 54.352 <2e-16 ***
775+
female -0.61290 0.79482 736.39886 -0.771 0.441
776+
ageYearsCentered 4.26792 0.11253 610.09410 37.925 <2e-16 ***
777+
female:ageYearsCentered -0.02558 0.16092 598.89155 -0.159 0.874
778778
---
779779
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
780780

@@ -918,12 +918,12 @@
918918
<div class="cell-output cell-output-stdout">
919919
<pre><code>$id
920920
(Intercept) ageYearsCentered
921-
201 1.125314 0.2140256
922-
303 -12.515505 -0.6614903
923-
2702 12.257489 0.4307636
924-
4303 2.727957 0.2850021
921+
201 1.125314 0.2140257
922+
303 -12.515509 -0.6614897
923+
2702 12.257492 0.4307630
924+
4303 2.727958 0.2850021
925925
5002 1.943701 0.1707896
926-
5005 4.045982 0.1202869
926+
5005 4.045983 0.1202867
927927

928928
with conditional variances for "id" </code></pre>
929929
</div>
@@ -949,15 +949,15 @@
949949
Random effects:
950950
Formula: ~1 + ageYearsCentered | id
951951
Structure: General positive-definite, Log-Cholesky parametrization
952-
StdDev Corr
953-
(Intercept) 7.907998 (Intr)
954-
ageYearsCentered 0.822593 0.082
955-
Residual 5.670138
952+
StdDev Corr
953+
(Intercept) 7.9079987 (Intr)
954+
ageYearsCentered 0.8225933 0.082
955+
Residual 5.6701380
956956

957957
Fixed effects: math ~ female + ageYearsCentered + female:ageYearsCentered
958958
Value Std.Error DF t-value p-value
959959
(Intercept) 30.514011 0.5619217 1287 54.30296 0.0000
960-
female -0.612896 0.7955332 930 -0.77042 0.4412
960+
female -0.612896 0.7955333 930 -0.77042 0.4412
961961
ageYearsCentered 4.267923 0.1126360 1287 37.89130 0.0000
962962
female:ageYearsCentered -0.025585 0.1610671 1287 -0.15885 0.8738
963963
Correlation:
@@ -968,7 +968,7 @@
968968

969969
Standardized Within-Group Residuals:
970970
Min Q1 Med Q3 Max
971-
-3.375035255 -0.517409820 0.005105066 0.523910820 2.639557753
971+
-3.375034869 -0.517409797 0.005105047 0.523910718 2.639557775
972972

973973
Number of Observations: 2221
974974
Number of Groups: 932 </code></pre>
@@ -995,7 +995,7 @@
995995
</details><div class="cell-output-display">
996996
<div data-pagedtable="false">
997997
<script data-pagedtable-source="" type="application/json">
998-
{"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":{}}}
998+
{"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":{}}}
999999
</script>
10001000
</div>
10011001
</div>
@@ -1044,10 +1044,10 @@
10441044

10451045
Fixed effects:
10461046
Estimate Std. Error df t value Pr(&gt;|t|)
1047-
(Intercept) 29.87438 0.75758 211.81837 39.434 &lt;2e-16 ***
1048-
female -0.38123 0.82243 1960.43205 -0.464 0.643
1049-
ageYearsCentered 4.26419 0.14813 132.95738 28.786 &lt;2e-16 ***
1050-
female:ageYearsCentered -0.08143 0.14596 1364.56013 -0.558 0.577
1047+
(Intercept) 29.87438 0.75758 211.81838 39.434 &lt;2e-16 ***
1048+
female -0.38123 0.82243 1960.43213 -0.464 0.643
1049+
ageYearsCentered 4.26419 0.14813 132.95739 28.786 &lt;2e-16 ***
1050+
female:ageYearsCentered -0.08143 0.14596 1364.56012 -0.558 0.577
10511051
---
10521052
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
10531053

@@ -1147,12 +1147,12 @@
11471147

11481148
Fixed effects:
11491149
Estimate Std. Error df t value
1150-
(Intercept) 23.43112 0.84914 1380.85496 27.594
1151-
female 0.61167 1.18734 1370.91652 0.515
1152-
ageYearsCentered 8.79334 0.42555 1381.21271 20.664
1153-
ageYearsCenteredSquared -0.57623 0.05255 1382.10814 -10.966
1154-
female:ageYearsCentered -0.62379 0.60301 1386.34425 -1.034
1155-
female:ageYearsCenteredSquared 0.05700 0.07582 1393.17384 0.752
1150+
(Intercept) 23.43112 0.84914 1380.85816 27.594
1151+
female 0.61167 1.18734 1370.91791 0.515
1152+
ageYearsCentered 8.79334 0.42555 1381.21301 20.664
1153+
ageYearsCenteredSquared -0.57623 0.05255 1382.10819 -10.966
1154+
female:ageYearsCentered -0.62379 0.60301 1386.34429 -1.034
1155+
female:ageYearsCenteredSquared 0.05700 0.07582 1393.17373 0.752
11561156
Pr(&gt;|t|)
11571157
(Intercept) &lt;2e-16 ***
11581158
female 0.607
@@ -1223,12 +1223,12 @@
12231223

12241224
Fixed effects:
12251225
Estimate Std. Error df t value Pr(&gt;|t|)
1226-
(Intercept) 23.43112 0.84914 1380.85496 27.594 &lt;2e-16
1227-
female 0.61167 1.18734 1370.91652 0.515 0.607
1228-
ageYearsCentered 8.79334 0.42555 1381.21271 20.664 &lt;2e-16
1229-
I(ageYearsCentered^2) -0.57623 0.05255 1382.10814 -10.966 &lt;2e-16
1230-
female:ageYearsCentered -0.62379 0.60301 1386.34425 -1.034 0.301
1231-
female:I(ageYearsCentered^2) 0.05700 0.07582 1393.17384 0.752 0.452
1226+
(Intercept) 23.43112 0.84914 1380.85816 27.594 &lt;2e-16
1227+
female 0.61167 1.18734 1370.91791 0.515 0.607
1228+
ageYearsCentered 8.79334 0.42555 1381.21301 20.664 &lt;2e-16
1229+
I(ageYearsCentered^2) -0.57623 0.05255 1382.10819 -10.966 &lt;2e-16
1230+
female:ageYearsCentered -0.62379 0.60301 1386.34429 -1.034 0.301
1231+
female:I(ageYearsCentered^2) 0.05700 0.07582 1393.17373 0.752 0.452
12321232

12331233
(Intercept) ***
12341234
female
@@ -1391,12 +1391,12 @@
13911391
<div class="cell-output cell-output-stdout">
13921392
<pre><code>$id
13931393
(Intercept) ageYearsCentered
1394-
201 0.3392873 0.2048916
1395-
303 -14.2395534 -0.5404367
1396-
2702 13.6789231 0.6053895
1397-
4303 1.8792651 0.2622510
1398-
5002 1.6186753 0.3766873
1399-
5005 5.0034214 0.1103063
1394+
201 0.3392871 0.2048916
1395+
303 -14.2395541 -0.5404362
1396+
2702 13.6789236 0.6053891
1397+
4303 1.8792650 0.2622509
1398+
5002 1.6186752 0.3766872
1399+
5005 5.0034217 0.1103062
14001400

14011401
with conditional variances for "id" </code></pre>
14021402
</div>
@@ -1447,14 +1447,14 @@
14471447

14481448
Fixed effects:
14491449
Estimate Std. Error df t value Pr(&gt;|t|)
1450-
(Intercept) 25.9318 0.7222 1223.0127 35.909 &lt; 2e-16
1451-
female 0.3473 1.0060 1208.6797 0.345 0.730
1450+
(Intercept) 25.9318 0.7222 1223.0139 35.909 &lt; 2e-16
1451+
female 0.3473 1.0060 1208.6807 0.345 0.730
14521452
ageYearsCentered 6.2092 0.2328 1374.3269 26.674 &lt; 2e-16
1453-
knot 12.6515 1.8238 1241.0680 6.937 6.43e-12
1453+
knot 12.6515 1.8238 1241.0685 6.937 6.43e-12
14541454
female:ageYearsCentered -0.3785 0.3240 1373.1043 -1.168 0.243
1455-
ageYearsCentered:knot -3.4908 0.3746 1283.6769 -9.318 &lt; 2e-16
1456-
female:knot -1.2105 2.6098 1234.2545 -0.464 0.643
1457-
female:ageYearsCentered:knot 0.3530 0.5383 1279.7383 0.656 0.512
1455+
ageYearsCentered:knot -3.4908 0.3746 1283.6771 -9.318 &lt; 2e-16
1456+
female:knot -1.2105 2.6098 1234.2550 -0.464 0.643
1457+
female:ageYearsCentered:knot 0.3530 0.5383 1279.7386 0.656 0.512
14581458

14591459
(Intercept) ***
14601460
female
@@ -1616,12 +1616,12 @@
16161616
<div class="cell-output cell-output-stdout">
16171617
<pre><code>$id
16181618
(Intercept) ageYearsCentered
1619-
201 0.6521453 0.2083234
1620-
303 -13.9003823 -0.5384101
1621-
2702 13.2487019 0.4885446
1622-
4303 2.1236182 0.2695864
1623-
5002 1.8135055 0.3311534
1624-
5005 4.9145710 0.1306295
1619+
201 0.652145 0.2083235
1620+
303 -13.900383 -0.5384101
1621+
2702 13.248702 0.4885446
1622+
4303 2.123618 0.2695865
1623+
5002 1.813505 0.3311535
1624+
5005 4.914571 0.1306295
16251625

16261626
with conditional variances for "id" </code></pre>
16271627
</div>
@@ -1656,7 +1656,7 @@
16561656

16571657
Random effects:
16581658
Groups Name Variance Std.Dev. Corr
1659-
id (Intercept) 0.0058308 0.07636
1659+
id (Intercept) 0.0058309 0.07636
16601660
ageYearsCentered 0.0002845 0.01687 -1.00
16611661
Number of obs: 2221, groups: id, 932
16621662

@@ -1712,8 +1712,8 @@
17121712
Formula: ~1 + ageYearsCentered | id
17131713
Structure: General positive-definite, Log-Cholesky parametrization
17141714
StdDev Corr
1715-
(Intercept) 4.254093e-05 (Intr)
1716-
ageYearsCentered 6.047776e-08 0
1715+
(Intercept) 5.533290e-05 (Intr)
1716+
ageYearsCentered 9.320922e-08 0
17171717
Residual 1.014184e+00
17181718

17191719
Variance function:
@@ -1731,7 +1731,7 @@
17311731

17321732
Standardized Within-Group Residuals:
17331733
Min Q1 Med Q3 Max
1734-
-2.00970269 -0.55110605 -0.02158036 0.53179574 4.98914422
1734+
-2.00970268 -0.55110605 -0.02158036 0.53179575 4.98914420
17351735

17361736
Number of Observations: 2221
17371737
Number of Groups: 932 </code></pre>
@@ -2218,7 +2218,7 @@
22182218

22192219
Standardized Within-Group Residuals:
22202220
Min Q1 Med Q3 Max
2221-
-3.37982975 -0.51663213 0.00445497 0.52228733 2.63205084
2221+
-3.37982974 -0.51663213 0.00445497 0.52228733 2.63205084
22222222

22232223
Number of Observations: 2221
22242224
Number of Groups: 932 </code></pre>

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