data/enzyme.R

In mstasinopoulos/GAMLSS-Finite-Mixtures: Fitting Mixture Distributions with Generalized Additive Models for Location Scale and Shape

enzyme <- structure(list(act = c(0.13, 0.08, 1.261, 0.224, 0.132, 1.052, 
0.085, 0.124, 0.718, 0.28, 0.687, 0.106, 0.088, 0.137, 0.096, 
0.124, 0.126, 1.279, 1.007, 0.195, 0.167, 0.213, 0.108, 1.371, 
0.19, 0.184, 1.298, 1.036, 0.205, 1.95, 1.018, 0.172, 0.148, 
0.292, 0.113, 0.185, 0.129, 1.329, 0.149, 0.236, 2.545, 1.073, 
0.162, 2.518, 0.142, 2.88, 0.178, 1.075, 0.128, 0.083, 0.409, 
0.34, 0.246, 1.195, 1.452, 1.123, 1.361, 0.222, 0.962, 0.875, 
0.078, 0.52, 0.194, 1.195, 0.709, 0.021, 0.166, 0.081, 0.265, 
0.159, 0.308, 1.604, 0.179, 0.172, 0.131, 0.305, 0.215, 0.214, 
0.853, 0.137, 0.466, 1.419, 2.016, 1.944, 1.04, 1.2, 0.255, 0.232, 
0.2, 0.24, 0.216, 0.277, 2.427, 0.32, 0.142, 0.134, 0.198, 0.126, 
1.173, 0.342, 1.672, 0.193, 1.633, 0.86, 1.293, 0.207, 1.811, 
1.741, 1.488, 0.124, 1.326, 0.148, 0.109, 1.848, 1.31, 0.118, 
1.004, 0.204, 0.192, 0.299, 1.885, 0.264, 0.23, 0.25, 0.061, 
0.953, 0.138, 0.313, 0.174, 1.768, 1.369, 0.13, 1.113, 0.32, 
0.19, 0.818, 1.461, 0.149, 0.291, 0.225, 1.622, 0.185, 0.198, 
0.36, 0.387, 2.338, 1.713, 0.368, 1.573, 0.309, 0.232, 0.347, 
0.325, 1.861, 0.258, 0.258, 1.625, 0.291, 1.169, 0.21, 0.241, 
0.112, 0.183, 0.258, 0.357, 1.176, 0.111, 0.978, 0.279, 1.742, 
0.184, 0.23, 0.275, 2.183, 2.264, 1.405, 0.408, 0.126, 0.263, 
0.162, 0.902, 1.516, 0.293, 0.198, 0.118, 0.305, 0.031, 0.192, 
0.151, 0.182, 0.909, 0.379, 1.01, 0.167, 0.929, 0.083, 0.179, 
1.567, 1.241, 0.077, 0.166, 1.271, 0.1, 1.229, 0.152, 1.374, 
0.157, 1.003, 0.084, 0.171, 0.953, 0.192, 0.967, 1.3, 0.122, 
1.036, 0.2, 0.07, 0.998, 0.176, 0.673, 0.839, 0.867, 0.985, 0.096, 
0.238, 0.933, 1.231, 0.162, 0.044, 0.175, 0.132, 1.166, 0.144, 
0.18, 0.945, 0.18, 0.152, 0.108, 0.923, 0.192, 0.895, 0.176, 
0.191, 1.161)), .Names = "act", row.names = c(NA, 245), class = "data.frame")