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lab:projects:02robust_growth_curve_modeling_using_student-t_distribution:nlsy_real_data

Mplus format

6.1 5 4.9 5 .
5.9 7.5 6.9 7 7.6
4.9 5.2 5.4 6.2 5.9
5.4 4.1 5.9 6.8 3.8
6.5 5.9 6.6 7.3 .
6.1 5.4 5.6 5.5 6.5
6.3 7.2 6.4 . 6.9
5.8 4.9 5.4 3.9 5
5.2 5.6 5.6 10 7.6
2.4 3 2.7 2.7 2
9.3 9.3 9.5 9.7 10
6.3 5.3 9 8.5 8.7
8 8.1 7.6 9.9 8.8
6.2 6.9 . 4.9 .
5.4 3.8 5.3 . 5.9
9.2 9.3 9.7 9.7 10
7.4 6.4 7.8 8 7.3
5.6 . 4.3 6.8 8
4.2 5 5.7 5.7 6.2
8 8.5 8.9 9.2 9.7
5.1 5.7 . . 6
7.5 7.8 9.2 9.4 9.4
6 3.7 4.2 5.2 5.3
8 6.5 8.5 8.6 8.6
6.5 6.9 . 7.9 8.3
5.6 5.1 6.1 6 5.5
4.3 7.8 7 9 6.9
6 6.7 7.5 7 8
5.9 5 10 6.1 9.7
5.8 6.7 9.4 9.5 9.3
3.1 3.7 5.7 4.1 3.9
5.3 5.8 6.1 6.1 6.3
7.4 7 5.3 6.4 6.4
. 7.1 8.7 6.7 7.6
3.8 2.8 5.4 6.6 6.7
. 6.9 7.8 5.8 6.4
6 7 7.2 8.2 8.3
8.1 6.1 7.2 8 8.8
4 4.4 4 4 4.1
5.4 7.1 8.8 8.8 8.7
8 8.1 8.7 8.5 9.2
6.4 5.4 5.2 3.5 5.1
8.4 8.9 9.5 9.3 9.5
4.6 4.8 6.3 6.8 6.5
6.4 7.8 8 7.4 .
4.1 6.7 . . 7
. 4.6 5.9 5.7 .
8.3 9.6 8.8 9.3 9.6
7.3 8.6 8.8 9 .
5 5.8 7.7 7.6 5.8
8.1 7.8 8.2 8.7 8.9
8.3 6.8 7.6 7.1 6.9
4.6 6.4 . 7.3 7
3.7 3.6 . 4.3 4.5
6.7 7.6 7.4 7.5 8.3
. 3.6 4.1 4.6 .
5.6 5.3 5.1 . 5.7
5.3 3.8 3.6 . 4
7.4 . 8.8 8.9 .
8.4 3.5 2.9 2.6 9.6
7.9 6.8 9.8 8.8 7.3
7.1 5.5 7.2 6.6 6.8
8.5 7.4 10 9.2 9.5
6.7 6.4 6.3 9.2 7.2
7.4 5 . 6.2 3.8
5.9 6.1 6.9 . .
6.3 8.4 7.5 6.4 6.6
7.6 5.9 7.3 8.9 .
4.2 4.4 4.7 5 5.9
6 7 6.7 6.5 7.2
8.6 8.7 9.2 9.4 9.3
. 4.1 3.4 . 4.9
5.9 6.8 7.3 7.5 8.1
4.2 0.6 4.8 7.5 0.1
5.6 6.8 7.5 . 9
7 . 9.4 . 9.7
8.6 5.6 7 . 4.6
5.3 7.2 6.8 6.6 7.9
6.9 . 8 7.1 9.6
6.7 8.7 9.9 8.7 10
5.9 6.8 6.4 6.2 6.3
. 4.9 6.1 5.6 5.4
6.3 7.3 7 5.7 6.3
7.8 7.7 8.8 8.8 8.7
5.5 5.9 5.9 5.8 5.9
4.9 7.3 7 7.8 6.8
4.9 4.7 8.9 6.9 6.9
5.5 4.7 3.4 6.5 6
7.8 8.3 6.3 7.4 8.8
5.9 7.6 5 . 5.9
3.4 3.6 4.4 5.4 4
7.3 4.9 5.6 4.2 5.3
. 5.4 . 7 5.1
5.1 6 5.3 5.1 4.7
. 5.7 6 7.4 5.1
7.6 8 7.3 7.5 7.8
6.6 6.9 7.6 6.9 6.5
8.2 9.2 9.5 9.7 9.8
6.8 8.6 7.3 9 9.5
5.4 6.4 7.8 6.8 7.1
7.6 5.5 6.9 8.2 5.8
6.6 7 6 6.9 4.7
6.6 7.2 7.9 . 7.9
3.1 0.1 4.7 4.9 5.7
8.6 8.2 9 9.1 9.4
4.8 5.7 6 5.9 6.7
3.9 5.3 . . 6.5
5 6 6.3 5 5
7.3 7.6 8.1 7.9 8.5
5.8 7.3 7.3 9.7 7.3
6.6 7 6.6 6.9 6.8
5.6 6.9 5 7.5 6.8
3 5.7 3 5.9 4
. 0.5 3.2 3.9 4.4
6.5 4 6 7 7.2
5.5 6.3 7.9 6.9 6.8
4.9 5.8 6.6 5.6 6.8
7.2 7 . . 7.2
6.5 6.8 6.4 6.9 .
5 4.7 5.4 6.3 6.3
5.1 6.9 5.2 6 3.8
2.8 0.2 5.4 6.1 6.6
7.6 8.1 8.5 6.7 6.9
7.5 7.3 7.9 8.1 7.5
7.9 8.8 7.3 9.2 9
. 5.9 6.1 10 6.2
. 5.9 7.5 6.5 6.2
. 4 5.5 6.8 7
8.5 8.9 9.2 . .
3.1 1.9 1.9 5 2.8
5.1 6.3 6 6.7 .
8.1 . . 9.1 9.2
6.3 0 6.4 7.1 7.3
5.1 4.5 5 7 6.9
4.8 4.3 4.4 8 6.1
6.4 7.5 8.8 . 9.1
6 6 9.4 . 6.2
5.9 7.9 6.1 5.7 7
4.4 5.6 6.6 5.4 6.7
7 7.1 8.7 9.1 9
7 7.2 7 7.2 7.2
4.6 5.4 6.4 4.9 6.8
5.7 5.5 5.5 5.3 5.7
7 7 7.9 8.3 8.5
5.5 8.8 7.6 9.4 8.9
2 6.1 5.8 2.1 4
. 5.9 6.5 6.4 4.9
6.6 6.8 6.9 6.8 7.1
4.7 5.2 6.3 6.6 6.9
5.2 6.2 7 6 7.1
7.9 7.8 8.6 9.4 9.6
8.3 8.7 8.6 9.7 8.7
6.8 6.9 6.8 7 8.7
7.1 6.9 6.9 7.5 9.3
5.5 6.1 6 6.4 6.2
3.5 5.5 5.7 3.4 5.4
4.4 4.9 4.7 4.7 5.2
5.4 6 6 7 7.1
7.9 8 8.2 8.7 8.6
8.3 7.3 9.1 9.3 9.2
6.7 7.4 . . .
6.2 9.2 . . 5.5
9 8.9 9.7 9.5 10
6.1 7.5 7.7 9.3 .
7.4 . 7 8.5 6.8
7 6.3 6.4 7 9.1
5.2 6.6 9.2 7.6 6.4
. 7.3 6.2 8.5 6.3
4.6 4.5 4.9 6.3 6.5
4.4 3.8 4.7 6.5 .
. 3.9 6.2 3.3 3.8
5.9 5.6 5.9 7.5 5.6
7.5 9 9.2 9.7 9.9
5.8 6.2 8.1 8.1 8.4
. 8.2 7.2 9.5 6.5
7.5 7.6 8.3 8.7 8.2
6.8 5.6 8.8 8 .
5.1 5.8 6.4 7 6.3
6.9 7.8 7.2 7 7.4
2.2 2 . 2.7 6.8
6 6.7 6.6 8.1 8.2
. 6.5 5 6.1 .
7.8 8.1 9.6 9.7 8.1
5.8 5.4 6.5 6.4 6.2
5.2 5 5.6 6.2 5.9
6.8 8 8.5 9 8.9
5.3 5.7 6 7 7.1
6.1 8.8 6.3 8.3 7.9
6 3.7 8.8 7.8 8.5
6 8.8 8.9 8.9 .
7.8 9.1 8.9 8.7 8.2
7.3 9.4 9.2 9.5 9.6
4.9 6.3 5.9 6.2 6.2
6.5 8 6.8 7.2 8.3
3.8 5.4 4.4 5.2 5.4
5.6 6.8 7.2 7 6.7
4.3 4.3 7.1 4.6 4.4
6.3 7.2 6.9 7.4 .
6 7.4 6.9 8.3 6.9
6.6 6.9 6.8 8.9 9.2
8.4 7.7 6.5 8.7 6.4
5.8 6.7 . 8.3 8.3
6 . 6 . 5.7
7 6.9 6.4 7.8 8.7
6 5.6 6.7 6.5 7.2
6.3 9.3 8.1 8.9 7.2
6.5 7.7 9.3 . 7.1
4.8 4.6 4.5 6.6 6.1
6 6.2 6.2 6.1 8.7
6.2 5 6.1 8.1 6.5
5.5 6.7 6.9 7.7 7.3
. 6.6 4.9 6.6 .
6.3 6.9 6.6 6.8 7.1
2.4 4.8 4.2 5.2 5.9
3.9 5 7.1 . 7.5
5.4 6.2 6.9 5.1 6.5
8.8 9 7 9.2 9.3
6.8 7.1 5.6 7.5 6.7
5.8 7 6.9 6.1 6
6 5.4 6.2 7.7 6.8
6.2 6.7 6.3 5.7 0.3
6 5.7 8.3 7.7 8.2
7 6.5 6.5 5.9 6.6
3.1 4.5 5 4.1 5.8
3.1 . 4 4.6 5.2
8.8 8.7 9 9.7 9.6
6.1 6.7 6.4 6.5 5.8
6.9 7 7.3 7.6 7.1
7.5 7.6 8.1 8.5 7.9
7.3 7.2 8.4 8.4 8.7
5.4 4.5 4.3 5.7 5
5.2 7.2 7.9 6.9 .
5.8 4.7 6.1 5 5.3
4.8 6 5.6 5.2 5.5
6.5 5.9 5.1 . 7.2
8.5 8.8 9.1 9.7 9.6
6 5.4 6.6 6.7 .
6.1 8.5 6.9 7.1 7.1
6.7 7.4 6.9 7.7 9.5
5.8 7.5 6.1 5.2 6.8
5.8 5.6 6.7 6.6 6.7
4.4 5 . 5.5 5.3
5.6 5 0 5.9 8.2
6 6.1 6.3 6 6.8
7.5 7.3 7.4 8.2 8.9
3.8 5.8 6.6 6.5 6.2
5.1 4.9 4.9 9.9 7.2
4.7 3.7 9.9 9.8 7.1
1.7 4 0.8 2.2 2.5
6.3 7.1 6.6 6.7 0.3
5.7 6.4 6.8 6.8 6.7
. 3.8 7.2 6.9 7.6
5.5 5.9 5.7 7.4 7.6
4.9 4.7 6.8 6.2 7.2
5.9 5.6 8 5.7 5.4
. 2.9 4.9 4.9 4.5
6.1 5.8 7.9 7.2 7.2
4.9 5.4 7.2 6.5 6.4
5.6 6.5 6.9 0.4 7.1
5.8 . 4.9 5.5 8
5.4 . 5.3 4.6 7.1
6.9 5.3 6.5 6.6 .
7.3 7.9 8.2 7.3 9
5 7 7 7.2 8.1
6.7 9 8.4 7.2 8.7
3.5 6.2 7 7.4 7.4
6.9 . 7.1 8.7 9.3
9.2 8 9.1 . 7.8
9.5 9.8 9.7 9.7 9.5
6.9 6.5 6.9 7.4 .
5.8 4.6 5.3 7 6.7
. 9.1 9.3 9.6 9.5
7.3 7.9 7.1 7.5 9.2
6.3 7.3 7.2 8.8 8.7
. 6.6 5.5 6.6 5
6.2 5.3 7.3 6.5 7.5
6.4 6.6 8.6 8.6 8.2
6.3 6.5 7.9 7.2 6.5
6.7 8.3 9 9.2 9.3
5.3 5.7 5.6 6.9 7.1
9.7 5 4.5 10 .
5.4 4.8 5.8 7 7
4.6 6.1 5.4 7 7.3
4.8 4.4 5 . 6.2
6 4.7 5.2 4.9 .
4.4 2.3 3.9 10 5.6
4.9 4.6 6.6 6.5 .
5.4 4.7 5.8 5.9 5.8
7.8 9.3 . 9.3 9.2
6 6.2 5.7 6 7.3
7.3 8.6 7.5 7.5 8.2
6.3 6 6.9 6.4 6.8
8.7 9 9.2 9.7 9
1.6 2 2.3 2.6 3.3
5 7 6.8 8 10
5.1 5.9 4.9 2.5 6.1
9.2 7 7.1 7.5 7.1
8 9 8.9 6.4 8.8
8.6 9.1 9.1 8.8 9.6
4.6 7.5 7.8 7.4 6.8
7.6 8.3 8 8.6 7.7
2.3 0.1 . 5.5 5.2
8.5 9 8.9 9 8.8
6.2 7.4 7.2 . 6.8
3.1 . 2.8 . .
6.2 8.9 9.1 9 9.2
9.1 . 9.4 . 9.9
6.6 7.3 . 6.9 .
4 5.6 5.1 6.2 5.7
4 5 6.6 6.7 5.9

Bugs format

list( N = 310 , y = structure(.Data = c( 6.1, 5, 4.9, 5, NA, 5.9, 7.5, 6.9, 7, 
7.6, 4.9, 5.2, 5.4, 6.2, 5.9, 5.4, 4.1, 5.9, 6.8, 3.8, 6.5, 5.9, 6.6, 7.3, NA, 
6.1, 5.4, 5.6, 5.5, 6.5, 6.3, 7.2, 6.4, NA, 6.9, 5.8, 4.9, 5.4, 3.9, 5, 5.2, 
5.6, 5.6, 10, 7.6, 2.4, 3, 2.7, 2.7, 2, 9.3, 9.3, 9.5, 9.7, 10, 6.3, 5.3, 9, 
8.5, 8.7, 8, 8.1, 7.6, 9.9, 8.8, 6.2, 6.9, NA, 4.9, NA, 5.4, 3.8, 5.3, NA, 5.9, 
9.2, 9.3, 9.7, 9.7, 10, 7.4, 6.4, 7.8, 8, 7.3, 5.6, NA, 4.3, 6.8, 8, 4.2, 5, 
5.7, 5.7, 6.2, 8, 8.5, 8.9, 9.2, 9.7, 5.1, 5.7, NA, NA, 6, 7.5, 7.8, 9.2, 9.4, 
9.4, 6, 3.7, 4.2, 5.2, 5.3, 8, 6.5, 8.5, 8.6, 8.6, 6.5, 6.9, NA, 7.9, 8.3, 5.6, 
5.1, 6.1, 6, 5.5, 4.3, 7.8, 7, 9, 6.9, 6, 6.7, 7.5, 7, 8, 5.9, 5, 10, 6.1, 9.7, 
5.8, 6.7, 9.4, 9.5, 9.3, 3.1, 3.7, 5.7, 4.1, 3.9, 5.3, 5.8, 6.1, 6.1, 6.3, 7.4, 
7, 5.3, 6.4, 6.4, NA, 7.1, 8.7, 6.7, 7.6, 3.8, 2.8, 5.4, 6.6, 6.7, NA, 6.9, 
7.8, 5.8, 6.4, 6, 7, 7.2, 8.2, 8.3, 8.1, 6.1, 7.2, 8, 8.8, 4, 4.4, 4, 4, 4.1, 
5.4, 7.1, 8.8, 8.8, 8.7, 8, 8.1, 8.7, 8.5, 9.2, 6.4, 5.4, 5.2, 3.5, 5.1, 8.4, 
8.9, 9.5, 9.3, 9.5, 4.6, 4.8, 6.3, 6.8, 6.5, 6.4, 7.8, 8, 7.4, NA, 4.1, 6.7, 
NA, NA, 7, NA, 4.6, 5.9, 5.7, NA, 8.3, 9.6, 8.8, 9.3, 9.6, 7.3, 8.6, 8.8, 9, 
NA, 5, 5.8, 7.7, 7.6, 5.8, 8.1, 7.8, 8.2, 8.7, 8.9, 8.3, 6.8, 7.6, 7.1, 6.9, 
4.6, 6.4, NA, 7.3, 7, 3.7, 3.6, NA, 4.3, 4.5, 6.7, 7.6, 7.4, 7.5, 8.3, NA, 3.6, 
4.1, 4.6, NA, 5.6, 5.3, 5.1, NA, 5.7, 5.3, 3.8, 3.6, NA, 4, 7.4, NA, 8.8, 8.9, 
NA, 8.4, 3.5, 2.9, 2.6, 9.6, 7.9, 6.8, 9.8, 8.8, 7.3, 7.1, 5.5, 7.2, 6.6, 6.8, 
8.5, 7.4, 10, 9.2, 9.5, 6.7, 6.4, 6.3, 9.2, 7.2, 7.4, 5, NA, 6.2, 3.8, 5.9, 
6.1, 6.9, NA, NA, 6.3, 8.4, 7.5, 6.4, 6.6, 7.6, 5.9, 7.3, 8.9, NA, 4.2, 4.4, 
4.7, 5, 5.9, 6, 7, 6.7, 6.5, 7.2, 8.6, 8.7, 9.2, 9.4, 9.3, NA, 4.1, 3.4, NA, 
4.9, 5.9, 6.8, 7.3, 7.5, 8.1, 4.2, 0.6, 4.8, 7.5, 0.1, 5.6, 6.8, 7.5, NA, 9, 7, 
NA, 9.4, NA, 9.7, 8.6, 5.6, 7, NA, 4.6, 5.3, 7.2, 6.8, 6.6, 7.9, 6.9, NA, 8, 
7.1, 9.6, 6.7, 8.7, 9.9, 8.7, 10, 5.9, 6.8, 6.4, 6.2, 6.3, NA, 4.9, 6.1, 5.6, 
5.4, 6.3, 7.3, 7, 5.7, 6.3, 7.8, 7.7, 8.8, 8.8, 8.7, 5.5, 5.9, 5.9, 5.8, 5.9, 
4.9, 7.3, 7, 7.8, 6.8, 4.9, 4.7, 8.9, 6.9, 6.9, 5.5, 4.7, 3.4, 6.5, 6, 7.8, 
8.3, 6.3, 7.4, 8.8, 5.9, 7.6, 5, NA, 5.9, 3.4, 3.6, 4.4, 5.4, 4, 7.3, 4.9, 5.6, 
4.2, 5.3, NA, 5.4, NA, 7, 5.1, 5.1, 6, 5.3, 5.1, 4.7, NA, 5.7, 6, 7.4, 5.1, 
7.6, 8, 7.3, 7.5, 7.8, 6.6, 6.9, 7.6, 6.9, 6.5, 8.2, 9.2, 9.5, 9.7, 9.8, 6.8, 
8.6, 7.3, 9, 9.5, 5.4, 6.4, 7.8, 6.8, 7.1, 7.6, 5.5, 6.9, 8.2, 5.8, 6.6, 7, 6, 
6.9, 4.7, 6.6, 7.2, 7.9, NA, 7.9, 3.1, 0.1, 4.7, 4.9, 5.7, 8.6, 8.2, 9, 9.1, 
9.4, 4.8, 5.7, 6, 5.9, 6.7, 3.9, 5.3, NA, NA, 6.5, 5, 6, 6.3, 5, 5, 7.3, 7.6, 
8.1, 7.9, 8.5, 5.8, 7.3, 7.3, 9.7, 7.3, 6.6, 7, 6.6, 6.9, 6.8, 5.6, 6.9, 5, 
7.5, 6.8, 3, 5.7, 3, 5.9, 4, NA, 0.5, 3.2, 3.9, 4.4, 6.5, 4, 6, 7, 7.2, 5.5, 
6.3, 7.9, 6.9, 6.8, 4.9, 5.8, 6.6, 5.6, 6.8, 7.2, 7, NA, NA, 7.2, 6.5, 6.8, 
6.4, 6.9, NA, 5, 4.7, 5.4, 6.3, 6.3, 5.1, 6.9, 5.2, 6, 3.8, 2.8, 0.2, 5.4, 6.1, 
6.6, 7.6, 8.1, 8.5, 6.7, 6.9, 7.5, 7.3, 7.9, 8.1, 7.5, 7.9, 8.8, 7.3, 9.2, 9, 
NA, 5.9, 6.1, 10, 6.2, NA, 5.9, 7.5, 6.5, 6.2, NA, 4, 5.5, 6.8, 7, 8.5, 8.9, 
9.2, NA, NA, 3.1, 1.9, 1.9, 5, 2.8, 5.1, 6.3, 6, 6.7, NA, 8.1, NA, NA, 9.1, 
9.2, 6.3, 0, 6.4, 7.1, 7.3, 5.1, 4.5, 5, 7, 6.9, 4.8, 4.3, 4.4, 8, 6.1, 6.4, 
7.5, 8.8, NA, 9.1, 6, 6, 9.4, NA, 6.2, 5.9, 7.9, 6.1, 5.7, 7, 4.4, 5.6, 6.6, 
5.4, 6.7, 7, 7.1, 8.7, 9.1, 9, 7, 7.2, 7, 7.2, 7.2, 4.6, 5.4, 6.4, 4.9, 6.8, 
5.7, 5.5, 5.5, 5.3, 5.7, 7, 7, 7.9, 8.3, 8.5, 5.5, 8.8, 7.6, 9.4, 8.9, 2, 6.1, 
5.8, 2.1, 4, NA, 5.9, 6.5, 6.4, 4.9, 6.6, 6.8, 6.9, 6.8, 7.1, 4.7, 5.2, 6.3, 
6.6, 6.9, 5.2, 6.2, 7, 6, 7.1, 7.9, 7.8, 8.6, 9.4, 9.6, 8.3, 8.7, 8.6, 9.7, 
8.7, 6.8, 6.9, 6.8, 7, 8.7, 7.1, 6.9, 6.9, 7.5, 9.3, 5.5, 6.1, 6, 6.4, 6.2, 
3.5, 5.5, 5.7, 3.4, 5.4, 4.4, 4.9, 4.7, 4.7, 5.2, 5.4, 6, 6, 7, 7.1, 7.9, 8, 
8.2, 8.7, 8.6, 8.3, 7.3, 9.1, 9.3, 9.2, 6.7, 7.4, NA, NA, NA, 6.2, 9.2, NA, NA, 
5.5, 9, 8.9, 9.7, 9.5, 10, 6.1, 7.5, 7.7, 9.3, NA, 7.4, NA, 7, 8.5, 6.8, 7, 
6.3, 6.4, 7, 9.1, 5.2, 6.6, 9.2, 7.6, 6.4, NA, 7.3, 6.2, 8.5, 6.3, 4.6, 4.5, 
4.9, 6.3, 6.5, 4.4, 3.8, 4.7, 6.5, NA, NA, 3.9, 6.2, 3.3, 3.8, 5.9, 5.6, 5.9, 
7.5, 5.6, 7.5, 9, 9.2, 9.7, 9.9, 5.8, 6.2, 8.1, 8.1, 8.4, NA, 8.2, 7.2, 9.5, 
6.5, 7.5, 7.6, 8.3, 8.7, 8.2, 6.8, 5.6, 8.8, 8, NA, 5.1, 5.8, 6.4, 7, 6.3, 6.9, 
7.8, 7.2, 7, 7.4, 2.2, 2, NA, 2.7, 6.8, 6, 6.7, 6.6, 8.1, 8.2, NA, 6.5, 5, 6.1, 
NA, 7.8, 8.1, 9.6, 9.7, 8.1, 5.8, 5.4, 6.5, 6.4, 6.2, 5.2, 5, 5.6, 6.2, 5.9, 
6.8, 8, 8.5, 9, 8.9, 5.3, 5.7, 6, 7, 7.1, 6.1, 8.8, 6.3, 8.3, 7.9, 6, 3.7, 8.8, 
7.8, 8.5, 6, 8.8, 8.9, 8.9, NA, 7.8, 9.1, 8.9, 8.7, 8.2, 7.3, 9.4, 9.2, 9.5, 
9.6, 4.9, 6.3, 5.9, 6.2, 6.2, 6.5, 8, 6.8, 7.2, 8.3, 3.8, 5.4, 4.4, 5.2, 5.4, 
5.6, 6.8, 7.2, 7, 6.7, 4.3, 4.3, 7.1, 4.6, 4.4, 6.3, 7.2, 6.9, 7.4, NA, 6, 7.4, 
6.9, 8.3, 6.9, 6.6, 6.9, 6.8, 8.9, 9.2, 8.4, 7.7, 6.5, 8.7, 6.4, 5.8, 6.7, NA, 
8.3, 8.3, 6, NA, 6, NA, 5.7, 7, 6.9, 6.4, 7.8, 8.7, 6, 5.6, 6.7, 6.5, 7.2, 6.3, 
9.3, 8.1, 8.9, 7.2, 6.5, 7.7, 9.3, NA, 7.1, 4.8, 4.6, 4.5, 6.6, 6.1, 6, 6.2, 
6.2, 6.1, 8.7, 6.2, 5, 6.1, 8.1, 6.5, 5.5, 6.7, 6.9, 7.7, 7.3, NA, 6.6, 4.9, 
6.6, NA, 6.3, 6.9, 6.6, 6.8, 7.1, 2.4, 4.8, 4.2, 5.2, 5.9, 3.9, 5, 7.1, NA, 
7.5, 5.4, 6.2, 6.9, 5.1, 6.5, 8.8, 9, 7, 9.2, 9.3, 6.8, 7.1, 5.6, 7.5, 6.7, 
5.8, 7, 6.9, 6.1, 6, 6, 5.4, 6.2, 7.7, 6.8, 6.2, 6.7, 6.3, 5.7, 0.3, 6, 5.7, 
8.3, 7.7, 8.2, 7, 6.5, 6.5, 5.9, 6.6, 3.1, 4.5, 5, 4.1, 5.8, 3.1, NA, 4, 4.6, 
5.2, 8.8, 8.7, 9, 9.7, 9.6, 6.1, 6.7, 6.4, 6.5, 5.8, 6.9, 7, 7.3, 7.6, 7.1, 
7.5, 7.6, 8.1, 8.5, 7.9, 7.3, 7.2, 8.4, 8.4, 8.7, 5.4, 4.5, 4.3, 5.7, 5, 5.2, 
7.2, 7.9, 6.9, NA, 5.8, 4.7, 6.1, 5, 5.3, 4.8, 6, 5.6, 5.2, 5.5, 6.5, 5.9, 5.1, 
NA, 7.2, 8.5, 8.8, 9.1, 9.7, 9.6, 6, 5.4, 6.6, 6.7, NA, 6.1, 8.5, 6.9, 7.1, 
7.1, 6.7, 7.4, 6.9, 7.7, 9.5, 5.8, 7.5, 6.1, 5.2, 6.8, 5.8, 5.6, 6.7, 6.6, 6.7, 
4.4, 5, NA, 5.5, 5.3, 5.6, 5, 0, 5.9, 8.2, 6, 6.1, 6.3, 6, 6.8, 7.5, 7.3, 7.4, 
8.2, 8.9, 3.8, 5.8, 6.6, 6.5, 6.2, 5.1, 4.9, 4.9, 9.9, 7.2, 4.7, 3.7, 9.9, 9.8, 
7.1, 1.7, 4, 0.8, 2.2, 2.5, 6.3, 7.1, 6.6, 6.7, 0.3, 5.7, 6.4, 6.8, 6.8, 6.7, 
NA, 3.8, 7.2, 6.9, 7.6, 5.5, 5.9, 5.7, 7.4, 7.6, 4.9, 4.7, 6.8, 6.2, 7.2, 5.9, 
5.6, 8, 5.7, 5.4, NA, 2.9, 4.9, 4.9, 4.5, 6.1, 5.8, 7.9, 7.2, 7.2, 4.9, 5.4, 
7.2, 6.5, 6.4, 5.6, 6.5, 6.9, 0.4, 7.1, 5.8, NA, 4.9, 5.5, 8, 5.4, NA, 5.3, 
4.6, 7.1, 6.9, 5.3, 6.5, 6.6, NA, 7.3, 7.9, 8.2, 7.3, 9, 5, 7, 7, 7.2, 8.1, 
6.7, 9, 8.4, 7.2, 8.7, 3.5, 6.2, 7, 7.4, 7.4, 6.9, NA, 7.1, 8.7, 9.3, 9.2, 8, 
9.1, NA, 7.8, 9.5, 9.8, 9.7, 9.7, 9.5, 6.9, 6.5, 6.9, 7.4, NA, 5.8, 4.6, 5.3, 
7, 6.7, NA, 9.1, 9.3, 9.6, 9.5, 7.3, 7.9, 7.1, 7.5, 9.2, 6.3, 7.3, 7.2, 8.8, 
8.7, NA, 6.6, 5.5, 6.6, 5, 6.2, 5.3, 7.3, 6.5, 7.5, 6.4, 6.6, 8.6, 8.6, 8.2, 
6.3, 6.5, 7.9, 7.2, 6.5, 6.7, 8.3, 9, 9.2, 9.3, 5.3, 5.7, 5.6, 6.9, 7.1, 9.7, 
5, 4.5, 10, NA, 5.4, 4.8, 5.8, 7, 7, 4.6, 6.1, 5.4, 7, 7.3, 4.8, 4.4, 5, NA, 
6.2, 6, 4.7, 5.2, 4.9, NA, 4.4, 2.3, 3.9, 10, 5.6, 4.9, 4.6, 6.6, 6.5, NA, 5.4, 
4.7, 5.8, 5.9, 5.8, 7.8, 9.3, NA, 9.3, 9.2, 6, 6.2, 5.7, 6, 7.3, 7.3, 8.6, 7.5, 
7.5, 8.2, 6.3, 6, 6.9, 6.4, 6.8, 8.7, 9, 9.2, 9.7, 9, 1.6, 2, 2.3, 2.6, 3.3, 5, 
7, 6.8, 8, 10, 5.1, 5.9, 4.9, 2.5, 6.1, 9.2, 7, 7.1, 7.5, 7.1, 8, 9, 8.9, 6.4, 
8.8, 8.6, 9.1, 9.1, 8.8, 9.6, 4.6, 7.5, 7.8, 7.4, 6.8, 7.6, 8.3, 8, 8.6, 7.7, 
2.3, 0.1, NA, 5.5, 5.2, 8.5, 9, 8.9, 9, 8.8, 6.2, 7.4, 7.2, NA, 6.8, 3.1, NA, 
2.8, NA, NA, 6.2, 8.9, 9.1, 9, 9.2, 9.1, NA, 9.4, NA, 9.9, 6.6, 7.3, NA, 6.9, 
NA, 4, 5.6, 5.1, 6.2, 5.7, 4, 5, 6.6, 6.7, 5.9), .Dim=c( 310, 5 )) )
lab/projects/02robust_growth_curve_modeling_using_student-t_distribution/nlsy_real_data.txt · Last modified: 2016/01/24 09:48 by 127.0.0.1