R version 2.12.0 (2010-10-15) Copyright (C) 2010 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i386-pc-mingw32/i386 (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. Natural language support but running in an English locale R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > local({pkg <- select.list(sort(.packages(all.available = TRUE)),graphics=TRUE) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) > utils:::menuInstallLocal() package 'zoo' successfully unpacked and MD5 sums checked package 'Defaults' successfully unpacked and MD5 sums checked package 'DEoptim' successfully unpacked and MD5 sums checked package 'LSPM' successfully unpacked and MD5 sums checked package 'quantmod' successfully unpacked and MD5 sums checked package 'snow' successfully unpacked and MD5 sums checked package 'TTR' successfully unpacked and MD5 sums checked package 'xts' successfully unpacked and MD5 sums checked > # Load the LSPM package > library(LSPM) Loading required package: DEoptim DEoptim package Differential Evolution algorithm in R Authors: David Ardia and Katharine Mullen > > outcomes <- cbind( + 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+ c(-4.508,-8.466,-4.508,-4.508,-30.68,-22.863,-17.41,-8.466,-8.466,-4.508,0.225,-22.863,-17.41,-17.41,-13.53,-13.53,-13.53,-8.466,-8.466,-8.466,-8.466,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,9.789,-22.863,-17.41,-17.41,-13.53,-13.53,-13.53,-13.53,-8.466,-8.466,-8.466,-8.466,-8.466,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,5.135,5.135,5.135,5.135,5.135,9.789,9.789,20.02,-17.41,-13.53,-13.53,-13.53,-13.53,-13.53,-8.466,-8.466,-8.466,-8.466,-8.466,-8.466,-8.466,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,5.135,5.135,5.135,5.135,5.135,5.135,5.135,9.789,9.789,9.789,9.789,20.02,20.02,-13.53,-8.466,-8.466,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,9.789,9.789,9.789,9.789,9.789,9.789,9.789,9.789,9.789,9.789,14.706,14.706,14.706,14.706,20.02,20.02,24.162,29.183,29.183,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,9.789,9.789,9.789,9.789,9.789,9.789,9.789,14.706,14.706,14.706,14.706,20.02,20.02,20.02,29.183,0.225,0.225,5.135,5.135,5.135,5.135,9.789,9.789,14.706,14.706,20.02,24.162,24.162,29.183,-8.466,-4.508,0.225,5.135,9.789,9.789,9.789,9.789,14.706,20.02,24.162,29.183,14.706,20.02,29.183,29.183,9.789,0.225), + 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+ 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> > probs <- c( + 0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.003333333333,0.023333333333,0.01,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.01,0.003333333333,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.006666666667,0.003333333333,0.01,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.006666666667,0.016666666667,0.006666666667,0.003333333333,0.003333333333,0.016666666667,0.006666666667,0.003333333333,0.003333333333,0.01,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.013333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.006666666667,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.016666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333) > > # Create a Leverage Space Portfolio object > port <- lsp(outcomes,probs) > > # DEoptim parameters (see ?DEoptim) > np=40 # 10 * number of mktsys > imax=100 #maximum number of iterations > crossover=0.6 #probability of crossover > > NR <- NROW(port$f) > DEctrl <- list(NP=np,itermax=imax, CR=crossover, trace=TRUE) > > res <- optimalf(port,control=DEctrl) Iteration: 1 bestvalit: -1.024148 bestmemit: 0.231989 0.082353 0.083661 0.522502 Iteration: 2 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 3 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 4 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 5 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 6 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 7 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 8 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 9 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 10 bestvalit: -1.028121 bestmemit: 0.108356 0.097816 0.240622 0.325844 Iteration: 11 bestvalit: -1.028162 bestmemit: 0.178281 0.034192 0.224565 0.333076 Iteration: 12 bestvalit: -1.028175 bestmemit: 0.175547 0.034192 0.224565 0.333076 Iteration: 13 bestvalit: -1.028175 bestmemit: 0.175547 0.034192 0.224565 0.333076 Iteration: 14 bestvalit: -1.028175 bestmemit: 0.175547 0.034192 0.224565 0.333076 Iteration: 15 bestvalit: -1.028813 bestmemit: 0.051324 0.004385 0.358489 0.349458 Iteration: 16 bestvalit: -1.028813 bestmemit: 0.051324 0.004385 0.358489 0.349458 Iteration: 17 bestvalit: -1.028813 bestmemit: 0.051324 0.004385 0.358489 0.349458 Iteration: 18 bestvalit: -1.028813 bestmemit: 0.051324 0.004385 0.358489 0.349458 Iteration: 19 bestvalit: -1.028813 bestmemit: 0.051324 0.004385 0.358489 0.349458 Iteration: 20 bestvalit: -1.028813 bestmemit: 0.051324 0.004385 0.358489 0.349458 Iteration: 21 bestvalit: -1.028813 bestmemit: 0.051324 0.004385 0.358489 0.349458 Iteration: 22 bestvalit: -1.028813 bestmemit: 0.051324 0.004385 0.358489 0.349458 Iteration: 23 bestvalit: -1.028820 bestmemit: 0.063897 0.015259 0.314086 0.352963 Iteration: 24 bestvalit: -1.028826 bestmemit: 0.034579 0.000787 0.304335 0.375123 Iteration: 25 bestvalit: -1.028826 bestmemit: 0.034579 0.000787 0.304335 0.375123 Iteration: 26 bestvalit: -1.028826 bestmemit: 0.034579 0.000787 0.304335 0.375123 Iteration: 27 bestvalit: -1.028826 bestmemit: 0.034579 0.000787 0.304335 0.375123 Iteration: 28 bestvalit: -1.028856 bestmemit: 0.061818 0.002546 0.341079 0.351444 Iteration: 29 bestvalit: -1.028856 bestmemit: 0.061818 0.002546 0.341079 0.351444 Iteration: 30 bestvalit: -1.028856 bestmemit: 0.061818 0.002546 0.341079 0.351444 Iteration: 31 bestvalit: -1.028857 bestmemit: 0.055695 0.002546 0.341079 0.351444 Iteration: 32 bestvalit: -1.028866 bestmemit: 0.051324 0.003863 0.322736 0.383428 Iteration: 33 bestvalit: -1.028866 bestmemit: 0.051324 0.003863 0.322736 0.383428 Iteration: 34 bestvalit: -1.028866 bestmemit: 0.051324 0.003863 0.322736 0.383428 Iteration: 35 bestvalit: -1.028866 bestmemit: 0.051324 0.003863 0.322736 0.383428 Iteration: 36 bestvalit: -1.028866 bestmemit: 0.051324 0.003863 0.322736 0.383428 Iteration: 37 bestvalit: -1.028867 bestmemit: 0.051545 0.005171 0.320461 0.366563 Iteration: 38 bestvalit: -1.028867 bestmemit: 0.051545 0.005171 0.320461 0.366563 Iteration: 39 bestvalit: -1.028877 bestmemit: 0.033721 0.000458 0.331071 0.376467 Iteration: 40 bestvalit: -1.028877 bestmemit: 0.033721 0.000458 0.331071 0.376467 Iteration: 41 bestvalit: -1.028881 bestmemit: 0.051324 0.001378 0.319534 0.380179 Iteration: 42 bestvalit: -1.028882 bestmemit: 0.059780 0.000687 0.323917 0.366753 Iteration: 43 bestvalit: -1.028882 bestmemit: 0.059780 0.000687 0.323917 0.366753 Iteration: 44 bestvalit: -1.028882 bestmemit: 0.059780 0.000687 0.323917 0.366753 Iteration: 45 bestvalit: -1.028882 bestmemit: 0.059780 0.000687 0.323917 0.366753 Iteration: 46 bestvalit: -1.028882 bestmemit: 0.059780 0.000687 0.323917 0.366753 Iteration: 47 bestvalit: -1.028882 bestmemit: 0.059780 0.000687 0.323917 0.366753 Iteration: 48 bestvalit: -1.028882 bestmemit: 0.059780 0.000687 0.323917 0.366753 Iteration: 49 bestvalit: -1.028882 bestmemit: 0.059780 0.000687 0.323917 0.366753 Iteration: 50 bestvalit: -1.028884 bestmemit: 0.056324 0.000430 0.322810 0.369296 Iteration: 51 bestvalit: -1.028884 bestmemit: 0.056324 0.000430 0.322810 0.369296 Iteration: 52 bestvalit: -1.028884 bestmemit: 0.056324 0.000430 0.322810 0.369296 Iteration: 53 bestvalit: -1.028884 bestmemit: 0.056324 0.000430 0.322810 0.369296 Iteration: 54 bestvalit: -1.028884 bestmemit: 0.056324 0.000430 0.322810 0.369296 Iteration: 55 bestvalit: -1.028885 bestmemit: 0.057591 0.000179 0.323469 0.368466 Iteration: 56 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 57 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 58 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 59 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 60 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 61 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 62 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 63 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 64 bestvalit: -1.028886 bestmemit: 0.051230 0.000063 0.320231 0.375312 Iteration: 65 bestvalit: -1.028886 bestmemit: 0.053521 0.000081 0.322465 0.374726 Iteration: 66 bestvalit: -1.028887 bestmemit: 0.053521 0.000008 0.322465 0.374726 Iteration: 67 bestvalit: -1.028887 bestmemit: 0.053521 0.000008 0.322465 0.374726 Iteration: 68 bestvalit: -1.028887 bestmemit: 0.053521 0.000008 0.322465 0.374726 Iteration: 69 bestvalit: -1.028887 bestmemit: 0.053521 0.000008 0.322465 0.374726 Iteration: 70 bestvalit: -1.028887 bestmemit: 0.053521 0.000008 0.322465 0.374726 Iteration: 71 bestvalit: -1.028887 bestmemit: 0.048498 0.000017 0.322334 0.377629 Iteration: 72 bestvalit: -1.028887 bestmemit: 0.053521 0.000008 0.322098 0.374726 Iteration: 73 bestvalit: -1.028887 bestmemit: 0.050553 0.000008 0.322098 0.374726 Iteration: 74 bestvalit: -1.028887 bestmemit: 0.052516 0.000003 0.322335 0.374745 Iteration: 75 bestvalit: -1.028887 bestmemit: 0.052516 0.000003 0.322335 0.374745 Iteration: 76 bestvalit: -1.028887 bestmemit: 0.052516 0.000003 0.322335 0.374745 Iteration: 77 bestvalit: -1.028887 bestmemit: 0.052516 0.000003 0.322335 0.374745 Iteration: 78 bestvalit: -1.028887 bestmemit: 0.049795 0.000013 0.322779 0.375824 Iteration: 79 bestvalit: -1.028887 bestmemit: 0.049795 0.000013 0.322779 0.375824 Iteration: 80 bestvalit: -1.028887 bestmemit: 0.049795 0.000013 0.322779 0.375824 Iteration: 81 bestvalit: -1.028887 bestmemit: 0.049795 0.000013 0.322779 0.375824 Iteration: 82 bestvalit: -1.028887 bestmemit: 0.049795 0.000013 0.322779 0.375824 Iteration: 83 bestvalit: -1.028887 bestmemit: 0.049795 0.000013 0.322779 0.375824 Iteration: 84 bestvalit: -1.028887 bestmemit: 0.050632 0.000017 0.323354 0.375086 Iteration: 85 bestvalit: -1.028887 bestmemit: 0.051331 0.000003 0.322335 0.375223 Iteration: 86 bestvalit: -1.028887 bestmemit: 0.050904 0.000004 0.323459 0.374676 Iteration: 87 bestvalit: -1.028887 bestmemit: 0.050602 0.000004 0.322671 0.375281 Iteration: 88 bestvalit: -1.028887 bestmemit: 0.050602 0.000004 0.322671 0.375281 Iteration: 89 bestvalit: -1.028887 bestmemit: 0.050982 0.000001 0.323145 0.374792 Iteration: 90 bestvalit: -1.028887 bestmemit: 0.050982 0.000001 0.323111 0.374792 Iteration: 91 bestvalit: -1.028887 bestmemit: 0.050982 0.000001 0.323111 0.374792 Iteration: 92 bestvalit: -1.028887 bestmemit: 0.050982 0.000001 0.323111 0.374792 Iteration: 93 bestvalit: -1.028887 bestmemit: 0.050982 0.000001 0.323111 0.374792 Iteration: 94 bestvalit: -1.028887 bestmemit: 0.050982 0.000001 0.323111 0.374792 Iteration: 95 bestvalit: -1.028887 bestmemit: 0.050721 0.000001 0.322932 0.375172 Iteration: 96 bestvalit: -1.028887 bestmemit: 0.050721 0.000001 0.322932 0.375172 Iteration: 97 bestvalit: -1.028887 bestmemit: 0.050721 0.000001 0.322932 0.375172 Iteration: 98 bestvalit: -1.028887 bestmemit: 0.050721 0.000001 0.322932 0.375172 Iteration: 99 bestvalit: -1.028887 bestmemit: 0.050721 0.000001 0.322932 0.375172 Iteration: 100 bestvalit: -1.028887 bestmemit: 0.050721 0.000001 0.322932 0.375172 > # Load the LSPM package > library(LSPM) > > outcomes <- cbind( + c(-16.7,-12.807,-12.807,-12.807,-9.226,-9.226,-9.226,-9.226,-9.226,-9.226,-9.226,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-6.209,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-3.278,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,-0.569,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,2.298,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,5.097,7.909,7.909,7.909,7.909,7.909,7.909,7.909,7.909,7.909,7.909,7.909,7.909,7.909,7.909,11.364,11.364,11.364,11.364,11.364,11.364,11.364,11.364,11.364,11.364,11.364,11.364,13.62,13.62,17.3,17.3,19.78,21.37), + c(-4.508,-8.466,-4.508,-4.508,-30.68,-22.863,-17.41,-8.466,-8.466,-4.508,0.225,-22.863,-17.41,-17.41,-13.53,-13.53,-13.53,-8.466,-8.466,-8.466,-8.466,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,9.789,-22.863,-17.41,-17.41,-13.53,-13.53,-13.53,-13.53,-8.466,-8.466,-8.466,-8.466,-8.466,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,5.135,5.135,5.135,5.135,5.135,9.789,9.789,20.02,-17.41,-13.53,-13.53,-13.53,-13.53,-13.53,-8.466,-8.466,-8.466,-8.466,-8.466,-8.466,-8.466,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,5.135,5.135,5.135,5.135,5.135,5.135,5.135,9.789,9.789,9.789,9.789,20.02,20.02,-13.53,-8.466,-8.466,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,0.225,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,9.789,9.789,9.789,9.789,9.789,9.789,9.789,9.789,9.789,9.789,14.706,14.706,14.706,14.706,20.02,20.02,24.162,29.183,29.183,-4.508,-4.508,-4.508,-4.508,0.225,0.225,0.225,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,5.135,9.789,9.789,9.789,9.789,9.789,9.789,9.789,14.706,14.706,14.706,14.706,20.02,20.02,20.02,29.183,0.225,0.225,5.135,5.135,5.135,5.135,9.789,9.789,14.706,14.706,20.02,24.162,24.162,29.183,-8.466,-4.508,0.225,5.135,9.789,9.789,9.789,9.789,14.706,20.02,24.162,29.183,14.706,20.02,29.183,29.183,9.789,0.225), + c(2.741,-22.73,2.741,30.262,-27.32,-18.02,-13.389,-7.769,-2.533,-13.389,-2.533,2.741,-18.02,-7.769,-18.02,-7.769,19.584,-7.769,-7.769,-2.533,-2.533,-13.389,-13.389,-13.389,-2.533,-2.533,-2.533,2.741,-13.389,-2.533,-2.533,2.741,-2.533,-2.533,-2.533,-13.389,-7.769,-7.769,-2.533,-7.769,-7.769,-2.533,-2.533,2.741,-13.389,-13.389,-7.769,-2.533,-2.533,-2.533,-2.533,2.741,-13.389,-13.389,-2.533,-2.533,-2.533,2.741,8.276,13.299,-7.769,-2.533,2.741,2.741,8.276,-2.533,13.299,-7.769,-18.02,-7.769,-7.769,-2.533,-2.533,2.741,-7.769,-7.769,-2.533,-2.533,2.741,8.276,8.276,-7.769,-7.769,-7.769,-7.769,-2.533,-2.533,-2.533,2.741,8.276,-13.389,-7.769,-7.769,-2.533,-2.533,-2.533,-2.533,2.741,2.741,2.741,2.741,2.741,8.276,-2.533,2.741,2.741,2.741,2.741,8.276,19.584,2.741,2.741,2.741,8.276,13.299,25.565,-7.769,-7.769,-2.533,-18.02,-7.769,-2.533,-2.533,-2.533,-2.533,2.741,2.741,-7.769,-2.533,-2.533,-2.533,-2.533,-2.533,2.741,2.741,2.741,-7.769,-7.769,-7.769,-2.533,-2.533,2.741,2.741,2.741,8.276,8.276,8.276,19.584,35.635,2.741,2.741,2.741,2.741,2.741,2.741,8.276,8.276,8.276,13.299,2.741,2.741,13.299,25.565,8.276,30.262,30.262,2.741,25.565,-2.533,2.741,8.276,25.565,2.741,2.741,19.584,-2.533,-2.533,-2.533,2.741,2.741,2.741,8.276,8.276,13.299,13.299,19.584,-7.769,2.741,2.741,8.276,8.276,13.299,25.565,8.276,8.276,8.276,13.299,2.741,2.741,2.741,13.299,2.741,13.299,2.741,8.276,13.299,13.299,-7.769,19.584,2.741,13.299,30.262,13.299,30.262,19.584,40.315,-2.533,8.276,8.276,8.276,8.276,25.565,30.262,19.584,13.299,19.584,8.276,13.299,35.635,19.584,40.315,2.741,44.19), + c(-4.973,-4.973,-4.973,1.719,-10.558,-7.622,-4.973,-4.973,-4.973,-2.915,-14.12,-10.558,-7.622,-7.622,-7.622,-10.558,-7.622,-7.622,-2.915,-7.622,-0.676,-2.915,-0.676,1.719,-4.973,-0.676,1.719,1.719,-7.622,-0.676,4.127,-2.915,-7.622,-4.973,-2.915,-0.676,-7.622,-2.915,-2.915,-10.558,-2.915,-0.676,1.719,-4.973,-0.676,1.719,-2.915,-4.973,-2.915,-0.676,1.719,1.719,-2.915,-0.676,-7.622,-4.973,-2.915,-7.622,-0.676,1.719,-4.973,1.719,-2.915,4.127,-2.915,-7.622,4.127,-2.915,-2.915,-2.915,-0.676,-4.973,1.719,1.719,-2.915,-0.676,-2.915,-0.676,-2.915,-2.915,-0.676,-4.973,-2.915,-0.676,1.719,-2.915,-0.676,1.719,-0.676,-0.676,-0.676,-0.676,1.719,-4.973,-2.915,-0.676,1.719,-2.915,-0.676,1.719,4.127,6.466,1.719,1.719,-2.915,-0.676,1.719,8.861,-0.676,4.127,-2.915,-0.676,1.719,1.719,1.719,8.861,-0.676,-2.915,-0.676,-0.676,-4.973,-0.676,1.719,4.127,6.466,-7.622,1.719,1.719,-4.973,-2.915,-0.676,1.719,6.466,-0.676,1.719,4.127,-7.622,1.719,4.127,1.719,4.127,-0.676,1.719,4.127,1.719,4.127,6.466,4.127,4.127,-4.973,-2.915,-0.676,1.719,4.127,6.466,4.127,6.466,8.861,6.466,1.719,6.466,4.127,11.715,6.466,4.127,4.127,6.466,14.211,1.719,4.127,4.127,4.127,-2.915,4.127,8.861,-0.676,1.719,6.466,1.719,4.127,6.466,4.127,6.466,1.719,4.127,8.861,1.719,1.719,6.466,4.127,6.466,1.719,1.719,1.719,6.466,8.861,6.466,1.719,4.127,6.466,6.466,-2.915,14.211,6.466,4.127,4.127,8.861,4.127,6.466,6.466,6.466,8.861,14.211,11.715,6.466,14.211,8.861,4.127,6.466,4.127,6.466,8.861,14.211,14.211,8.861,14.211,4.127,6.466,16.763,8.861,16.763,4.127,16.763)) > > probs <- c( + 0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.003333333333,0.023333333333,0.01,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.01,0.003333333333,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.006666666667,0.003333333333,0.01,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.006666666667,0.016666666667,0.006666666667,0.003333333333,0.003333333333,0.016666666667,0.006666666667,0.003333333333,0.003333333333,0.01,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.013333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.006666666667,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.016666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333) > > # Create a Leverage Space Portfolio object > port <- lsp(outcomes,probs) > > # DEoptim parameters (see ?DEoptim) > np=40 # 10 * number of mktsys > imax=1000 #maximum number of iterations > crossover=0.6 #probability of crossover > > NR <- NROW(port$f) > DEctrl <- list(NP=np,itermax=imax, CR=crossover, trace=TRUE) > > res <- optimalf(port,control=DEctrl) Iteration: 1 bestvalit: -1.024375 bestmemit: 0.337881 0.185508 0.158491 0.254139 Iteration: 2 bestvalit: -1.024375 bestmemit: 0.337881 0.185508 0.158491 0.254139 Iteration: 3 bestvalit: -1.026758 bestmemit: 0.127953 0.159677 0.366385 0.172816 Iteration: 4 bestvalit: -1.027500 bestmemit: 0.272473 0.036860 0.277131 0.228342 Iteration: 5 bestvalit: -1.027500 bestmemit: 0.272473 0.036860 0.277131 0.228342 Iteration: 6 bestvalit: -1.027658 bestmemit: 0.058389 0.038398 0.264926 0.264605 Iteration: 7 bestvalit: -1.028102 bestmemit: 0.134112 0.081712 0.269438 0.266583 Iteration: 8 bestvalit: -1.028156 bestmemit: 0.080738 0.011164 0.434204 0.251334 Iteration: 9 bestvalit: -1.028156 bestmemit: 0.080738 0.011164 0.434204 0.251334 Iteration: 10 bestvalit: -1.028156 bestmemit: 0.080738 0.011164 0.434204 0.251334 Iteration: 11 bestvalit: -1.028510 bestmemit: 0.111743 0.021360 0.370692 0.282288 Iteration: 12 bestvalit: -1.028510 bestmemit: 0.111743 0.021360 0.370692 0.282288 Iteration: 13 bestvalit: -1.028510 bestmemit: 0.111743 0.021360 0.370692 0.282288 Iteration: 14 bestvalit: -1.028510 bestmemit: 0.111743 0.021360 0.370692 0.282288 Iteration: 15 bestvalit: -1.028582 bestmemit: 0.134112 0.023805 0.269438 0.347290 Iteration: 16 bestvalit: -1.028641 bestmemit: 0.039450 0.020451 0.379272 0.322488 Iteration: 17 bestvalit: -1.028725 bestmemit: 0.039450 0.020451 0.348748 0.376536 Iteration: 18 bestvalit: -1.028725 bestmemit: 0.039450 0.020451 0.348748 0.376536 Iteration: 19 bestvalit: -1.028746 bestmemit: 0.027551 0.020451 0.348748 0.376536 Iteration: 20 bestvalit: -1.028746 bestmemit: 0.027551 0.020451 0.348748 0.376536 Iteration: 21 bestvalit: -1.028773 bestmemit: 0.058936 0.011174 0.340311 0.324788 Iteration: 22 bestvalit: -1.028773 bestmemit: 0.058936 0.011174 0.340311 0.324788 Iteration: 23 bestvalit: -1.028773 bestmemit: 0.058936 0.011174 0.340311 0.324788 Iteration: 24 bestvalit: -1.028813 bestmemit: 0.081727 0.002458 0.336910 0.326362 Iteration: 25 bestvalit: -1.028820 bestmemit: 0.053546 0.007719 0.335492 0.339687 Iteration: 26 bestvalit: -1.028820 bestmemit: 0.053546 0.007719 0.335492 0.339687 Iteration: 27 bestvalit: -1.028820 bestmemit: 0.053546 0.007719 0.335492 0.339687 Iteration: 28 bestvalit: -1.028820 bestmemit: 0.053546 0.007719 0.335492 0.339687 Iteration: 29 bestvalit: -1.028859 bestmemit: 0.041022 0.004385 0.325491 0.363689 Iteration: 30 bestvalit: -1.028859 bestmemit: 0.041022 0.004385 0.325491 0.363689 Iteration: 31 bestvalit: -1.028859 bestmemit: 0.041022 0.004385 0.325491 0.363689 Iteration: 32 bestvalit: -1.028859 bestmemit: 0.041022 0.004385 0.325491 0.363689 Iteration: 33 bestvalit: -1.028859 bestmemit: 0.041022 0.004385 0.325491 0.363689 Iteration: 34 bestvalit: -1.028869 bestmemit: 0.041022 0.004385 0.325491 0.382266 Iteration: 35 bestvalit: -1.028869 bestmemit: 0.041022 0.004385 0.325491 0.382266 Iteration: 36 bestvalit: -1.028870 bestmemit: 0.033552 0.003046 0.322337 0.386708 Iteration: 37 bestvalit: -1.028880 bestmemit: 0.043324 0.001414 0.325668 0.372287 Iteration: 38 bestvalit: -1.028880 bestmemit: 0.043324 0.001414 0.325668 0.372287 Iteration: 39 bestvalit: -1.028880 bestmemit: 0.043324 0.001414 0.325668 0.372287 Iteration: 40 bestvalit: -1.028880 bestmemit: 0.043324 0.001414 0.325668 0.372287 Iteration: 41 bestvalit: -1.028880 bestmemit: 0.055947 0.001414 0.325668 0.372287 Iteration: 42 bestvalit: -1.028880 bestmemit: 0.055947 0.001414 0.325668 0.372287 Iteration: 43 bestvalit: -1.028880 bestmemit: 0.055947 0.001414 0.325668 0.372287 Iteration: 44 bestvalit: -1.028882 bestmemit: 0.051881 0.000837 0.324202 0.367630 Iteration: 45 bestvalit: -1.028884 bestmemit: 0.051881 0.000837 0.322885 0.376906 Iteration: 46 bestvalit: -1.028884 bestmemit: 0.051881 0.000837 0.322885 0.376906 Iteration: 47 bestvalit: -1.028884 bestmemit: 0.052411 0.000333 0.317580 0.379200 Iteration: 48 bestvalit: -1.028884 bestmemit: 0.052411 0.000333 0.317580 0.379200 Iteration: 49 bestvalit: -1.028884 bestmemit: 0.052411 0.000333 0.317580 0.379200 Iteration: 50 bestvalit: -1.028884 bestmemit: 0.052411 0.000333 0.317580 0.379200 Iteration: 51 bestvalit: -1.028885 bestmemit: 0.051881 0.000541 0.322885 0.376906 Iteration: 52 bestvalit: -1.028885 bestmemit: 0.046051 0.000412 0.326139 0.374395 Iteration: 53 bestvalit: -1.028885 bestmemit: 0.046051 0.000412 0.326139 0.374395 Iteration: 54 bestvalit: -1.028885 bestmemit: 0.055947 0.000277 0.323989 0.372012 Iteration: 55 bestvalit: -1.028886 bestmemit: 0.051881 0.000000 0.322405 0.376906 Iteration: 56 bestvalit: -1.028886 bestmemit: 0.051881 0.000000 0.322405 0.376906 Iteration: 57 bestvalit: -1.028886 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+ 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+ 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> > probs <- c( + 0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.003333333333,0.023333333333,0.01,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.01,0.003333333333,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.006666666667,0.003333333333,0.01,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.006666666667,0.016666666667,0.006666666667,0.003333333333,0.003333333333,0.016666666667,0.006666666667,0.003333333333,0.003333333333,0.01,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.013333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.01,0.006666666667,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.006666666667,0.006666666667,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.016666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.006666666667,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333,0.003333333333) > > # Create a Leverage Space Portfolio object > port <- lsp(outcomes,probs) > > # DEoptim parameters (see ?DEoptim) > np=40 # 10 * number of mktsys > imax=100 #maximum number of iterations > crossover=0.6 #probability of crossover > > NR <- NROW(port$f) > DEctrl <- list(NP=np,itermax=imax, CR=crossover, trace=TRUE) > > library(snow) Attaching package: 'snow' The following object(s) are masked from 'package:base': enquote > clust <- makeSOCKcluster(3) # runs through all cores at 100% > > hrz <- 12 # horizon = number of periods into the future > DDN <-0.30000000000000004 # n% DrawDown > calcmax <-8 # maximum calculated cycles > PDD <-0.5# probability of n% DrawDown > errorparam <-0.0010# error size for shortcut > sigmaparam <-3.0# sigmas for shortcut > > res <- optimalf(port, probDrawdown, PDD, DD=DDN, horizon=hrz, calc.max=calcmax, error=errorparam, sigma=sigmaparam, snow=clust, control=DEctrl) Iteration: 1 bestvalit: inf bestmemit: 0.478294 0.756036 0.056941 0.251051 Iteration: 2 bestvalit: inf bestmemit: 0.478294 0.034816 0.316914 0.502455 Iteration: 3 bestvalit: -1.020205 bestmemit: 0.195927 0.214540 0.031647 0.086490 Iteration: 4 bestvalit: -1.020205 bestmemit: 0.195927 0.214540 0.031647 0.086490 Iteration: 5 bestvalit: -1.020205 bestmemit: 0.195927 0.214540 0.031647 0.086490 Iteration: 6 bestvalit: -1.020205 bestmemit: 0.195927 0.214540 0.031647 0.086490 Iteration: 7 bestvalit: -1.020477 bestmemit: 0.195927 0.249046 0.031647 0.086490 Iteration: 8 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 9 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 10 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 11 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 12 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 13 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 14 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 15 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 16 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 17 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 18 bestvalit: -1.023976 bestmemit: 0.007214 0.117393 0.404901 0.041319 Iteration: 19 bestvalit: -1.026168 bestmemit: 0.059041 0.024521 0.328686 0.154772 Iteration: 20 bestvalit: -1.026168 bestmemit: 0.059041 0.024521 0.328686 0.154772 Iteration: 21 bestvalit: -1.026168 bestmemit: 0.059041 0.024521 0.328686 0.154772 Iteration: 22 bestvalit: -1.026168 bestmemit: 0.059041 0.024521 0.328686 0.154772 Iteration: 23 bestvalit: -1.026168 bestmemit: 0.059041 0.024521 0.328686 0.154772 Iteration: 24 bestvalit: -1.026168 bestmemit: 0.059041 0.024521 0.328686 0.154772 Iteration: 25 bestvalit: -1.026168 bestmemit: 0.059041 0.024521 0.328686 0.154772 Iteration: 26 bestvalit: -1.026387 bestmemit: 0.027997 0.006768 0.221417 0.277958 Iteration: 27 bestvalit: -1.026387 bestmemit: 0.027997 0.006768 0.221417 0.277958 Iteration: 28 bestvalit: -1.026387 bestmemit: 0.027997 0.006768 0.221417 0.277958 Iteration: 29 bestvalit: -1.026387 bestmemit: 0.027997 0.006768 0.221417 0.277958 Iteration: 30 bestvalit: -1.026387 bestmemit: 0.027997 0.006768 0.221417 0.277958 Iteration: 31 bestvalit: -1.026387 bestmemit: 0.027997 0.006768 0.221417 0.277958 Iteration: 32 bestvalit: -1.026387 bestmemit: 0.027997 0.006768 0.221417 0.277958 Iteration: 33 bestvalit: -1.026472 bestmemit: 0.118577 0.002143 0.355051 0.130409 Iteration: 34 bestvalit: -1.026472 bestmemit: 0.118577 0.002143 0.355051 0.130409 Iteration: 35 bestvalit: -1.026472 bestmemit: 0.118577 0.002143 0.355051 0.130409 Iteration: 36 bestvalit: -1.026472 bestmemit: 0.118577 0.002143 0.355051 0.130409 Iteration: 37 bestvalit: -1.026472 bestmemit: 0.118577 0.002143 0.355051 0.130409 Iteration: 38 bestvalit: -1.026472 bestmemit: 0.118577 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-1.027301 bestmemit: 0.041876 0.009840 0.287661 0.249367 Iteration: 100 bestvalit: -1.027302 bestmemit: 0.053919 0.002451 0.297744 0.237712 > stopCluster(clust) # this frees up the cluster connection(s) > > res $f [1] 0.053918741 0.002450663 0.297743780 0.237712102 $G [1] 1.027302 > port$f <- res$f # put the optimal f values into the lsp object > probDrawdown(port,DDN,hrz,calcmax,errorparam,sigmaparam) # should not be >0.5 [1] 0.497935 > >