beta_CVX.RdSimple simulated data, used to demonstrate the features of glmnet
Data objects used to demonstrate features in the glmnet vignette
These datasets are artificial, and are used to test out some of the features of glmnet.
#> #> Call: glmnet(x = x, y = y) #> #> Df %Dev Lambda #> 1 0 0.00000 1.63100 #> 2 2 0.05528 1.48600 #> 3 2 0.14590 1.35400 #> 4 2 0.22110 1.23400 #> 5 2 0.28360 1.12400 #> 6 2 0.33540 1.02400 #> 7 4 0.39040 0.93320 #> 8 5 0.45600 0.85030 #> 9 5 0.51540 0.77470 #> 10 6 0.57350 0.70590 #> 11 6 0.62550 0.64320 #> 12 6 0.66870 0.58610 #> 13 6 0.70460 0.53400 #> 14 6 0.73440 0.48660 #> 15 7 0.76210 0.44330 #> 16 7 0.78570 0.40400 #> 17 7 0.80530 0.36810 #> 18 7 0.82150 0.33540 #> 19 7 0.83500 0.30560 #> 20 7 0.84620 0.27840 #> 21 7 0.85550 0.25370 #> 22 7 0.86330 0.23120 #> 23 8 0.87060 0.21060 #> 24 8 0.87690 0.19190 #> 25 8 0.88210 0.17490 #> 26 8 0.88650 0.15930 #> 27 8 0.89010 0.14520 #> 28 8 0.89310 0.13230 #> 29 8 0.89560 0.12050 #> 30 8 0.89760 0.10980 #> 31 9 0.89940 0.10010 #> 32 9 0.90100 0.09117 #> 33 9 0.90230 0.08307 #> 34 9 0.90340 0.07569 #> 35 10 0.90430 0.06897 #> 36 11 0.90530 0.06284 #> 37 11 0.90620 0.05726 #> 38 12 0.90700 0.05217 #> 39 15 0.90780 0.04754 #> 40 16 0.90860 0.04331 #> 41 16 0.90930 0.03947 #> 42 16 0.90980 0.03596 #> 43 17 0.91030 0.03277 #> 44 17 0.91070 0.02985 #> 45 18 0.91110 0.02720 #> 46 18 0.91140 0.02479 #> 47 19 0.91170 0.02258 #> 48 19 0.91200 0.02058 #> 49 19 0.91220 0.01875 #> 50 19 0.91240 0.01708 #> 51 19 0.91250 0.01557 #> 52 19 0.91260 0.01418 #> 53 19 0.91270 0.01292 #> 54 19 0.91280 0.01178 #> 55 19 0.91290 0.01073 #> 56 19 0.91290 0.00978 #> 57 19 0.91300 0.00891 #> 58 19 0.91300 0.00812 #> 59 19 0.91310 0.00740 #> 60 19 0.91310 0.00674 #> 61 19 0.91310 0.00614 #> 62 20 0.91310 0.00559 #> 63 20 0.91310 0.00510 #> 64 20 0.91310 0.00464 #> 65 20 0.91320 0.00423 #> 66 20 0.91320 0.00386 #> 67 20 0.91320 0.00351