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, 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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