R version 2.8.0 (2008-10-20) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 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. > x <- array(list(1 + ,162556 + ,1081 + ,213118 + ,6282929 + ,1 + ,29790 + ,309 + ,81767 + ,4324047 + ,1 + ,87550 + ,458 + ,153198 + ,4108272 + ,0 + ,84738 + ,588 + ,-26007 + ,-1212617 + ,1 + ,54660 + ,299 + ,126942 + ,1485329 + ,1 + ,42634 + ,156 + ,157214 + ,1779876 + ,0 + ,40949 + ,481 + ,129352 + ,1367203 + ,1 + ,42312 + ,323 + ,234817 + ,2519076 + ,1 + ,37704 + ,452 + ,60448 + ,912684 + ,1 + ,16275 + ,109 + ,47818 + ,1443586 + ,0 + ,25830 + ,115 + ,245546 + ,1220017 + ,0 + ,12679 + ,110 + ,48020 + ,984885 + ,1 + ,18014 + ,239 + ,-1710 + ,1457425 + ,0 + ,43556 + ,247 + ,32648 + ,-572920 + ,1 + ,24524 + ,497 + ,95350 + ,929144 + ,0 + ,6532 + ,103 + ,151352 + ,1151176 + ,0 + ,7123 + ,109 + ,288170 + ,790090 + ,1 + ,20813 + ,502 + ,114337 + ,774497 + ,1 + ,37597 + ,248 + ,37884 + ,990576 + ,0 + ,17821 + ,373 + ,122844 + ,454195 + ,1 + ,12988 + ,119 + ,82340 + ,876607 + ,1 + ,22330 + ,84 + ,79801 + ,711969 + ,0 + ,13326 + ,102 + ,165548 + ,702380 + ,0 + ,16189 + ,295 + ,116384 + ,264449 + ,0 + ,7146 + ,105 + ,134028 + ,450033 + ,0 + ,15824 + ,64 + ,63838 + ,541063 + ,1 + ,26088 + ,267 + ,74996 + ,588864 + ,0 + ,11326 + ,129 + ,31080 + ,-37216 + ,0 + ,8568 + ,37 + ,32168 + ,783310 + ,0 + ,14416 + ,361 + ,49857 + ,467359 + ,1 + ,3369 + ,28 + ,87161 + ,688779 + ,1 + ,11819 + ,85 + ,106113 + ,608419 + ,1 + ,6620 + ,44 + ,80570 + ,696348 + ,1 + ,4519 + ,49 + ,102129 + ,597793 + ,0 + ,2220 + ,22 + ,301670 + ,821730 + ,0 + ,18562 + ,155 + ,102313 + ,377934 + ,0 + ,10327 + ,91 + ,88577 + ,651939 + ,1 + ,5336 + ,81 + ,112477 + ,697458 + ,1 + ,2365 + ,79 + ,191778 + ,700368 + ,0 + ,4069 + ,145 + ,79804 + ,225986 + ,0 + ,7710 + ,816 + ,128294 + ,348695 + ,0 + ,13718 + ,61 + ,96448 + ,373683 + ,0 + ,4525 + ,226 + ,93811 + ,501709 + ,0 + ,6869 + ,105 + ,117520 + ,413743 + ,0 + ,4628 + ,62 + ,69159 + ,379825 + ,1 + ,3653 + ,24 + ,101792 + ,336260 + ,1 + ,1265 + ,26 + ,210568 + ,636765 + ,1 + ,7489 + ,322 + ,136996 + ,481231 + ,0 + ,4901 + ,84 + ,121920 + ,469107 + ,0 + ,2284 + ,33 + ,76403 + ,211928 + ,1 + ,3160 + ,108 + ,108094 + ,563925 + ,1 + ,4150 + ,150 + ,134759 + ,511939 + ,1 + ,7285 + ,115 + ,188873 + ,521016 + ,1 + ,1134 + ,162 + ,146216 + ,543856 + ,1 + ,4658 + ,158 + ,156608 + ,329304 + ,0 + ,2384 + ,97 + ,61348 + ,423262 + ,0 + ,3748 + ,9 + ,50350 + ,509665 + ,0 + ,5371 + ,66 + ,87720 + ,455881 + ,0 + ,1285 + ,107 + ,99489 + ,367772 + ,1 + ,9327 + ,101 + ,87419 + ,406339 + ,1 + ,5565 + ,47 + ,94355 + ,493408 + ,0 + ,1528 + ,38 + ,60326 + ,232942 + ,1 + ,3122 + ,34 + ,94670 + ,416002 + ,1 + ,7317 + ,84 + ,82425 + ,337430 + ,0 + ,2675 + ,79 + ,59017 + ,361517 + ,0 + ,13253 + ,947 + ,90829 + ,360962 + ,0 + ,880 + ,74 + ,80791 + ,235561 + ,1 + ,2053 + ,53 + ,100423 + ,408247 + ,0 + ,1424 + ,94 + ,131116 + ,450296 + ,1 + ,4036 + ,63 + ,100269 + ,418799 + ,1 + ,3045 + ,58 + ,27330 + ,247405 + ,0 + ,5119 + ,49 + ,39039 + ,378519 + ,0 + ,1431 + ,34 + ,106885 + ,326638 + ,0 + ,554 + ,11 + ,79285 + ,328233 + ,0 + ,1975 + ,35 + ,118881 + ,386225 + ,1 + ,1286 + ,17 + ,77623 + ,283662 + ,0 + ,1012 + ,47 + ,114768 + ,370225 + ,0 + ,810 + ,43 + ,74015 + ,269236 + ,0 + ,1280 + ,117 + ,69465 + ,365732 + ,1 + ,666 + ,171 + ,117869 + ,420383 + ,0 + ,1380 + ,26 + ,60982 + ,345811 + ,1 + ,4608 + ,73 + ,90131 + ,431809 + ,0 + ,876 + ,59 + ,138971 + ,418876 + ,0 + ,814 + ,18 + ,39625 + ,297476 + ,0 + ,514 + ,15 + ,102725 + ,416776 + ,1 + ,5692 + ,72 + ,64239 + ,357257 + ,0 + ,3642 + ,86 + ,90262 + ,458343 + ,0 + ,540 + ,14 + ,103960 + ,388386 + ,0 + ,2099 + ,64 + ,106611 + ,358934 + ,0 + ,567 + ,11 + ,103345 + ,407560 + ,0 + ,2001 + ,52 + ,95551 + ,392558 + ,1 + ,2949 + ,41 + ,82903 + ,373177 + ,0 + ,2253 + ,99 + ,63593 + ,428370 + ,1 + ,6533 + ,75 + ,126910 + ,369419 + ,0 + ,1889 + ,45 + ,37527 + ,358649 + ,1 + ,3055 + ,43 + ,60247 + ,376641 + ,0 + ,272 + ,8 + ,112995 + ,467427 + ,1 + ,1414 + ,198 + ,70184 + ,364885 + ,0 + ,2564 + ,22 + ,130140 + ,436230 + ,1 + ,1383 + ,11 + ,73221 + ,329118 + ,1 + ,1261 + ,33 + ,76114 + ,317365 + ,0 + ,975 + ,23 + ,90534 + ,286849 + ,0 + ,3366 + ,80 + ,108479 + ,376685 + ,0 + ,576 + ,18 + ,113761 + ,407198 + ,0 + ,1306 + ,28 + ,68696 + ,377772 + ,0 + ,746 + ,23 + ,71561 + ,271483 + ,1 + ,3192 + ,60 + ,59831 + ,153661 + ,1 + ,2045 + ,20 + ,97890 + ,513294 + ,0 + ,5477 + ,59 + ,101481 + ,324881 + ,1 + ,1932 + ,36 + ,72954 + ,264512 + ,0 + ,936 + ,30 + ,67939 + ,420968 + ,1 + ,3437 + ,47 + ,48022 + ,129302 + ,0 + ,5131 + ,71 + ,86111 + ,191521 + ,1 + ,2397 + ,14 + ,74020 + ,268673 + ,1 + ,1389 + ,9 + ,57530 + ,353179 + ,0 + ,1503 + ,39 + ,56364 + ,354624 + ,0 + ,402 + ,26 + ,84990 + ,363713 + ,0 + ,2239 + ,21 + ,88590 + ,456657 + ,1 + ,2234 + ,16 + ,77200 + ,211742 + ,0 + ,837 + ,69 + ,61262 + ,338381 + ,0 + ,10579 + ,92 + ,110309 + ,418530 + ,0 + ,875 + ,14 + ,67000 + ,351483 + ,0 + ,1395 + ,103 + ,93099 + ,372928 + ,1 + ,1659 + ,29 + ,107577 + ,485538 + ,1 + ,2647 + ,37 + ,62920 + ,279268 + ,1 + ,3294 + ,23 + ,75832 + ,219060 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,94 + ,7 + ,60793 + ,325314 + ,0 + ,422 + ,28 + ,57935 + ,322046 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,34 + ,8 + ,60630 + ,325599 + ,0 + ,1558 + ,63 + ,55637 + ,377028 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,43 + ,3 + ,60887 + ,323850 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,316 + ,9 + ,60505 + ,331514 + ,0 + ,115 + ,13 + ,60945 + ,325632 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,389 + ,14 + ,58990 + ,322265 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,1002 + ,15 + ,56750 + ,325906 + ,0 + ,36 + ,3 + ,60894 + ,325985 + ,0 + ,460 + ,15 + ,63346 + ,346145 + ,0 + ,309 + ,11 + ,56535 + ,325898 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,9 + ,6 + ,60835 + ,325356 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,14 + ,1 + ,61016 + ,325930 + ,0 + ,520 + ,10 + ,58650 + ,318020 + ,0 + ,1766 + ,73 + ,60438 + ,326389 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,458 + ,11 + ,58625 + ,302925 + ,0 + ,20 + ,3 + ,60938 + ,325540 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,98 + ,2 + ,61490 + ,326736 + ,0 + ,405 + ,7 + ,60845 + ,340580 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,483 + ,27 + ,60830 + ,331828 + ,0 + ,454 + ,51 + ,63261 + ,323299 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,757 + ,19 + ,45689 + ,387722 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,36 + ,4 + ,61564 + ,324598 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,203 + ,9 + ,61938 + ,328726 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,90 + ,8 + ,60951 + ,325043 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,71 + ,1 + ,60745 + ,325806 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,972 + ,34 + ,71642 + ,387732 + ,1 + ,531 + ,10 + ,71641 + ,349729 + ,0 + ,604 + ,38 + ,55792 + ,332202 + ,1 + ,283 + ,10 + ,71873 + ,305442 + ,1 + ,23 + ,5 + ,62555 + ,329537 + ,1 + ,638 + ,14 + ,60370 + ,327055 + ,1 + ,699 + ,16 + ,64873 + ,356245 + ,0 + ,149 + ,5 + ,62041 + ,328451 + ,0 + ,226 + ,5 + ,65745 + ,307062 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,275 + ,4 + ,59500 + ,331345 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,141 + ,6 + ,61630 + ,331824 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,28 + ,2 + ,60890 + ,325685 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,2566 + ,80 + ,113521 + ,404480 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,472 + ,20 + ,80045 + ,318314 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,203 + ,27 + ,50804 + ,311807 + ,1 + ,496 + ,17 + ,87390 + ,337724 + ,1 + ,10 + ,2 + ,61656 + ,326431 + ,1 + ,63 + ,4 + ,65688 + ,327556 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,1136 + ,32 + ,48522 + ,356850 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,267 + ,32 + ,57640 + ,322741 + ,0 + ,474 + ,20 + ,61977 + ,310902 + ,0 + ,534 + ,7 + ,62620 + ,324295 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,15 + ,8 + ,60831 + ,326156 + ,0 + ,397 + ,28 + ,60646 + ,326960 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,1061 + ,20 + ,56225 + ,333411 + ,0 + ,288 + ,4 + ,60510 + ,297761 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,3 + ,2 + ,60698 + ,325536 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,20 + ,2 + ,60805 + ,325762 + ,0 + ,278 + ,26 + ,61404 + ,327957 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,192 + ,4 + ,65276 + ,318521 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,317 + ,9 + ,63915 + ,319775 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,368 + ,17 + ,61686 + ,332128 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,2 + ,1 + ,60743 + ,325486 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,53 + ,6 + ,60349 + ,325838 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,94 + ,3 + ,61360 + ,331767 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,24 + ,8 + ,59818 + ,324523 + ,0 + ,2332 + ,4 + ,72680 + ,339995 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,131 + ,11 + ,61808 + ,319582 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,206 + ,9 + ,53110 + ,307245 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,167 + ,2 + ,64245 + ,317967 + ,0 + ,622 + ,73 + ,73007 + ,331488 + ,0 + ,885 + ,85 + ,82732 + ,335452 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,365 + ,8 + ,54820 + ,334184 + ,0 + ,364 + ,35 + ,47705 + ,313213 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,226 + ,12 + ,72835 + ,348678 + ,0 + ,307 + ,15 + ,58856 + ,328727 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,188 + ,11 + ,77655 + ,387978 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,138 + ,6 + ,69817 + ,336704 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,125 + ,12 + ,60798 + ,322076 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,282 + ,30 + ,62452 + ,334272 + ,0 + ,335 + ,33 + ,64175 + ,338197 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,813 + ,82 + ,67440 + ,321024 + ,0 + ,176 + ,28 + ,68136 + ,322145 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,249 + ,72 + ,56726 + ,323351 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,333 + ,13 + ,70811 + ,327748 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,30 + ,4 + ,62045 + ,328157 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,249 + ,62 + ,54323 + ,311594 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,165 + ,24 + ,62841 + ,335962 + ,0 + ,453 + ,21 + ,81125 + ,372426 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,53 + ,14 + ,59506 + ,319844 + ,1 + ,382 + ,21 + ,59365 + ,355822 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,30 + ,4 + ,60798 + ,324047 + ,0 + ,290 + ,2 + ,58790 + ,311464 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,366 + ,53 + ,61808 + ,353417 + ,0 + ,2 + ,9 + ,60735 + ,325590 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,209 + ,13 + ,64016 + ,328576 + ,0 + ,384 + ,22 + ,54683 + ,326126 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,365 + ,83 + ,87192 + ,369376 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,49 + ,8 + ,64107 + ,332013 + ,0 + ,3 + ,4 + ,60761 + ,325871 + ,0 + ,133 + ,14 + ,65990 + ,342165 + ,0 + ,32 + ,1 + ,59988 + ,324967 + ,0 + ,368 + ,17 + ,61167 + ,314832 + ,0 + ,1 + ,6 + ,60719 + ,325557 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,22 + ,2 + ,60722 + ,322649 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,96 + ,5 + ,60379 + ,324598 + ,0 + ,1 + ,2 + ,60727 + ,325567 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,81 + ,7 + ,60925 + ,324005 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,26 + ,1 + ,60896 + ,325748 + ,0 + ,125 + ,13 + ,59734 + ,323385 + ,0 + ,304 + ,15 + ,62969 + ,315409 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,119 + ,6 + ,59118 + ,312275 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,312 + ,14 + ,58598 + ,320576 + ,0 + ,60 + ,10 + ,61124 + ,325246 + ,0 + ,587 + ,12 + ,59595 + ,332961 + ,0 + ,135 + ,2 + ,62065 + ,323010 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,514 + ,52 + ,78780 + ,345253 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,1 + ,4 + ,60722 + ,325559 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,1 + ,58 + ,3 + ,61600 + ,319634 + ,0 + ,180 + ,11 + ,59635 + ,319951 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,448 + ,40 + ,59781 + ,318519 + ,0 + ,227 + ,9 + ,76644 + ,343222 + ,0 + ,174 + ,1 + ,64820 + ,317234 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,121 + ,24 + ,56178 + ,314025 + ,0 + ,607 + ,11 + ,60436 + ,320249 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,530 + ,60 + ,73433 + ,349365 + ,0 + ,571 + ,80 + ,41477 + ,289197 + ,0 + ,0 + ,0 + ,60720 + ,325560 + ,0 + ,78 + ,16 + ,62700 + ,329245 + ,0 + ,2489 + ,40 + ,67804 + ,240869 + ,0 + ,131 + ,6 + ,59661 + ,327182 + ,0 + ,923 + ,8 + ,58620 + ,322876 + ,0 + ,72 + ,3 + ,60398 + ,323117 + ,0 + ,572 + ,16 + ,58580 + ,306351 + ,0 + ,397 + ,10 + ,62710 + ,335137 + ,0 + ,450 + ,8 + ,59325 + ,308271 + ,0 + ,622 + ,7 + ,60950 + ,301731 + ,0 + ,694 + ,8 + ,68060 + ,382409 + ,1 + ,3425 + ,12 + ,83620 + ,279230 + ,0 + ,562 + ,13 + ,58456 + ,298731 + ,0 + ,4917 + ,42 + ,52811 + ,243650 + ,1 + ,1442 + ,118 + ,121173 + ,532682 + ,0 + ,529 + ,9 + ,63870 + ,319771 + ,1 + ,2126 + ,138 + ,21001 + ,171493 + ,0 + ,1061 + ,5 + ,70415 + ,347262 + ,0 + ,776 + ,9 + ,64230 + ,343945 + ,0 + ,611 + ,8 + ,59190 + ,311874 + ,1 + ,1526 + ,25 + ,69351 + ,302211 + ,0 + ,592 + ,7 + ,64270 + ,316708 + ,0 + ,1182 + ,13 + ,70694 + ,333463 + ,0 + ,621 + ,16 + ,68005 + ,344282 + ,0 + ,989 + ,11 + ,58930 + ,319635 + ,0 + ,438 + ,11 + ,58320 + ,301186 + ,0 + ,726 + ,3 + ,69980 + ,300381 + ,0 + ,1303 + ,61 + ,69863 + ,318765 + ,1 + ,6341 + ,24 + ,63255 + ,286146 + ,1 + ,1164 + ,17 + ,57320 + ,306844 + ,1 + ,3310 + ,33 + ,75230 + ,307705 + ,0 + ,1366 + ,7 + ,79420 + ,312448 + ,0 + ,965 + ,3 + ,73490 + ,299715 + ,0 + ,3256 + ,66 + ,35250 + ,373399 + ,1 + ,1135 + ,17 + ,62285 + ,299446 + ,0 + ,1270 + ,26 + ,69206 + ,325586 + ,0 + ,661 + ,3 + ,65920 + ,291221 + ,0 + ,1013 + ,2 + ,69770 + ,261173 + ,0 + ,2844 + ,67 + ,72683 + ,255027 + ,1 + ,11528 + ,70 + ,-14545 + ,-78375 + ,0 + ,6526 + ,26 + ,55830 + ,-58143 + ,0 + ,2264 + ,24 + ,55174 + ,227033 + ,1 + ,4461 + ,94 + ,67038 + ,235098 + ,0 + ,3999 + ,30 + ,51252 + ,21267 + ,0 + ,35624 + ,223 + ,157278 + ,238675 + ,0 + ,9252 + ,48 + ,79510 + ,197687 + ,0 + ,15236 + ,90 + ,77440 + ,418341 + ,0 + ,18073 + ,180 + ,27284 + ,-297706) + ,dim=c(5 + ,431) + ,dimnames=list(c('Group' + ,'Costs' + ,'Trades' + ,'Dividends' + ,'Wealth ') + ,1:431)) > y <- array(NA,dim=c(5,431),dimnames=list(c('Group','Costs','Trades','Dividends','Wealth '),1:431)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par4 = 'yes' > par3 = '2' > par2 = 'quantiles' > par1 = '1' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from package:base : as.Date.numeric Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from package:survival : untangle.specials The following object(s) are masked from package:base : format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "Group" > x[,par1] [1] 1 1 1 0 1 1 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 0 0 0 0 1 0 0 0 1 1 1 1 0 0 0 [38] 1 1 0 0 0 0 0 0 1 1 1 0 0 1 1 1 1 1 0 0 0 0 1 1 0 1 1 0 0 0 1 0 1 1 0 0 0 [75] 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 1 1 0 0 0 0 0 1 1 0 1 0 [112] 1 0 1 1 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 1 [186] 1 1 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 [223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 0 0 0 0 0 0 1 [260] 0 1 1 0 0 1 0 1 0 1 0 1 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 1 0 0 0 0 1 [297] 0 1 0 0 1 0 0 1 0 0 1 1 0 1 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 [334] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 [371] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 [408] 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$centers,1:par3),ncol=2) + clm <- clm[sort.list(clm[,1]),] + for (i in 1:par3) { + cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='') + } + cl$cluster <- as.factor(cl$cluster) + print(cl$cluster) + x[,par1] <- cl$cluster + } > if (par2 == 'quantiles') { + x[,par1] <- cut2(x[,par1],g=par3) + } > if (par2 == 'hclust') { + hc <- hclust(dist(x[,par1])^2, 'cen') + print(hc) + memb <- cutree(hc, k = par3) + dum <- c(mean(x[memb==1,par1])) + for (i in 2:par3) { + dum <- c(dum, mean(x[memb==i,par1])) + } + hcm <- matrix(cbind(dum,1:par3),ncol=2) + hcm <- hcm[sort.list(hcm[,1]),] + for (i in 1:par3) { + memb[memb==hcm[i,2]] <- paste('C',i,sep='') + } + memb <- as.factor(memb) + print(memb) + x[,par1] <- memb + } > if (par2=='equal') { + ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep='')) + x[,par1] <- as.factor(ed) + } > table(x[,par1]) 0 1 311 120 > colnames(x) [1] "Group" "Costs" "Trades" "Dividends" "Wealth." > colnames(x)[par1] [1] "Group" > x[,par1] [1] 1 1 1 0 1 1 0 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 0 0 0 0 1 0 0 0 1 1 1 1 0 0 0 [38] 1 1 0 0 0 0 0 0 1 1 1 0 0 1 1 1 1 1 0 0 0 0 1 1 0 1 1 0 0 0 1 0 1 1 0 0 0 [75] 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 1 1 0 0 0 0 0 1 1 0 1 0 [112] 1 0 1 1 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 1 [186] 1 1 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 [223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 0 0 0 0 0 0 1 [260] 0 1 1 0 0 1 0 1 0 1 0 1 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 1 0 0 0 0 1 [297] 0 1 0 0 1 0 0 1 0 0 1 1 0 1 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 [334] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 [371] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 [408] 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 Levels: 0 1 > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/rcomp/createtable") > > if (par2 != 'none') { + m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x) + if (par4=='yes') { + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'',1,TRUE) + a<-table.element(a,'Prediction (training)',par3+1,TRUE) + a<-table.element(a,'Prediction (testing)',par3+1,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'Actual',1,TRUE) + for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE) + a<-table.element(a,'CV',1,TRUE) + for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE) + a<-table.element(a,'CV',1,TRUE) + a<-table.row.end(a) + for (i in 1:10) { + ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1)) + m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,]) + if (i==1) { + m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,]) + m.ct.i.actu <- x[ind==1,par1] + m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,]) + m.ct.x.actu <- x[ind==2,par1] + } else { + m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,])) + m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1]) + m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,])) + m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1]) + } + } + print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred)) + numer <- 0 + for (i in 1:par3) { + print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,])) + numer <- numer + m.ct.i.tab[i,i] + } + print(m.ct.i.cp <- numer / sum(m.ct.i.tab)) + print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred)) + numer <- 0 + for (i in 1:par3) { + print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,])) + numer <- numer + m.ct.x.tab[i,i] + } + print(m.ct.x.cp <- numer / sum(m.ct.x.tab)) + for (i in 1:par3) { + a<-table.row.start(a) + a<-table.element(a,paste('C',i,sep=''),1,TRUE) + for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj]) + a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4)) + for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj]) + a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4)) + a<-table.row.end(a) + } + a<-table.row.start(a) + a<-table.element(a,'Overall',1,TRUE) + for (jjj in 1:par3) a<-table.element(a,'-') + a<-table.element(a,round(m.ct.i.cp,4)) + for (jjj in 1:par3) a<-table.element(a,'-') + a<-table.element(a,round(m.ct.x.cp,4)) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/www/html/freestat/rcomp/tmp/1pyqs1293202742.tab") + } + } m.ct.i.pred m.ct.i.actu 1 2 1 2679 111 2 804 274 [1] 0.960215 [1] 0.2541744 [1] 0.7634436 m.ct.x.pred m.ct.x.actu 1 2 1 310 10 2 86 36 [1] 0.96875 [1] 0.2950820 [1] 0.7828054 > m Conditional inference tree with 2 terminal nodes Response: as.factor(Group) Inputs: Costs, Trades, Dividends, Wealth. Number of observations: 431 1) Wealth. <= 469107; criterion = 1, statistic = 20.438 2)* weights = 388 1) Wealth. > 469107 3)* weights = 43 > postscript(file="/var/www/html/freestat/rcomp/tmp/2pyqs1293202742.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(m) > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/3pyqs1293202742.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response') > dev.off() null device 1 > if (par2 == 'none') { + forec <- predict(m) + result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec)) + colnames(result) <- c('Actuals','Forecasts','Residuals') + print(result) + } > if (par2 != 'none') { + print(cbind(as.factor(x[,par1]),predict(m))) + myt <- table(as.factor(x[,par1]),predict(m)) + print(myt) + } [,1] [,2] [1,] 2 2 [2,] 2 2 [3,] 2 2 [4,] 1 1 [5,] 2 2 [6,] 2 2 [7,] 1 2 [8,] 2 2 [9,] 2 2 [10,] 2 2 [11,] 1 2 [12,] 1 2 [13,] 2 2 [14,] 1 1 [15,] 2 2 [16,] 1 2 [17,] 1 2 [18,] 2 2 [19,] 2 2 [20,] 1 1 [21,] 2 2 [22,] 2 2 [23,] 1 2 [24,] 1 1 [25,] 1 1 [26,] 1 2 [27,] 2 2 [28,] 1 1 [29,] 1 2 [30,] 1 1 [31,] 2 2 [32,] 2 2 [33,] 2 2 [34,] 2 2 [35,] 1 2 [36,] 1 1 [37,] 1 2 [38,] 2 2 [39,] 2 2 [40,] 1 1 [41,] 1 1 [42,] 1 1 [43,] 1 2 [44,] 1 1 [45,] 1 1 [46,] 2 1 [47,] 2 2 [48,] 2 2 [49,] 1 1 [50,] 1 1 [51,] 2 2 [52,] 2 2 [53,] 2 2 [54,] 2 2 [55,] 2 1 [56,] 1 1 [57,] 1 2 [58,] 1 1 [59,] 1 1 [60,] 2 1 [61,] 2 2 [62,] 1 1 [63,] 2 1 [64,] 2 1 [65,] 1 1 [66,] 1 1 [67,] 1 1 [68,] 2 1 [69,] 1 1 [70,] 2 1 [71,] 2 1 [72,] 1 1 [73,] 1 1 [74,] 1 1 [75,] 1 1 [76,] 2 1 [77,] 1 1 [78,] 1 1 [79,] 1 1 [80,] 2 1 [81,] 1 1 [82,] 2 1 [83,] 1 1 [84,] 1 1 [85,] 1 1 [86,] 2 1 [87,] 1 1 [88,] 1 1 [89,] 1 1 [90,] 1 1 [91,] 1 1 [92,] 2 1 [93,] 1 1 [94,] 2 1 [95,] 1 1 [96,] 2 1 [97,] 1 1 [98,] 2 1 [99,] 1 1 [100,] 2 1 [101,] 2 1 [102,] 1 1 [103,] 1 1 [104,] 1 1 [105,] 1 1 [106,] 1 1 [107,] 2 1 [108,] 2 2 [109,] 1 1 [110,] 2 1 [111,] 1 1 [112,] 2 1 [113,] 1 1 [114,] 2 1 [115,] 2 1 [116,] 1 1 [117,] 1 1 [118,] 1 1 [119,] 2 1 [120,] 1 1 [121,] 1 1 [122,] 1 1 [123,] 1 1 [124,] 2 2 [125,] 2 1 [126,] 2 1 [127,] 1 1 [128,] 1 1 [129,] 1 1 [130,] 1 1 [131,] 1 1 [132,] 1 1 [133,] 1 1 [134,] 1 1 [135,] 1 1 [136,] 1 1 [137,] 1 1 [138,] 1 1 [139,] 1 1 [140,] 1 1 [141,] 1 1 [142,] 1 1 [143,] 1 1 [144,] 1 1 [145,] 1 1 [146,] 1 1 [147,] 1 1 [148,] 1 1 [149,] 1 1 [150,] 1 1 [151,] 1 1 [152,] 1 1 [153,] 1 1 [154,] 1 1 [155,] 1 1 [156,] 1 1 [157,] 1 1 [158,] 1 1 [159,] 1 1 [160,] 1 1 [161,] 1 1 [162,] 1 1 [163,] 1 1 [164,] 1 1 [165,] 1 1 [166,] 1 1 [167,] 1 1 [168,] 1 1 [169,] 1 1 [170,] 1 1 [171,] 1 1 [172,] 1 1 [173,] 1 1 [174,] 1 1 [175,] 1 1 [176,] 1 1 [177,] 1 1 [178,] 2 1 [179,] 1 1 [180,] 1 1 [181,] 1 1 [182,] 2 1 [183,] 1 1 [184,] 2 1 [185,] 2 1 [186,] 2 1 [187,] 2 1 [188,] 1 1 [189,] 1 1 [190,] 1 1 [191,] 1 1 [192,] 1 1 [193,] 1 1 [194,] 1 1 [195,] 1 1 [196,] 2 1 [197,] 2 1 [198,] 2 1 [199,] 2 1 [200,] 2 1 [201,] 2 1 [202,] 2 1 [203,] 2 1 [204,] 2 1 [205,] 2 1 [206,] 2 1 [207,] 2 1 [208,] 2 1 [209,] 2 1 [210,] 2 1 [211,] 1 1 [212,] 1 1 [213,] 1 1 [214,] 1 1 [215,] 1 1 [216,] 1 1 [217,] 1 1 [218,] 1 1 [219,] 1 1 [220,] 1 1 [221,] 1 1 [222,] 1 1 [223,] 1 1 [224,] 1 1 [225,] 1 1 [226,] 1 1 [227,] 1 1 [228,] 1 1 [229,] 1 1 [230,] 1 1 [231,] 1 1 [232,] 1 1 [233,] 1 1 [234,] 1 1 [235,] 1 1 [236,] 1 1 [237,] 1 1 [238,] 1 1 [239,] 1 1 [240,] 1 1 [241,] 1 1 [242,] 1 1 [243,] 1 1 [244,] 1 1 [245,] 1 1 [246,] 2 1 [247,] 2 1 [248,] 1 1 [249,] 2 1 [250,] 2 1 [251,] 1 1 [252,] 2 1 [253,] 1 1 [254,] 1 1 [255,] 1 1 [256,] 1 1 [257,] 1 1 [258,] 1 1 [259,] 2 1 [260,] 1 1 [261,] 2 1 [262,] 2 1 [263,] 1 1 [264,] 1 1 [265,] 2 1 [266,] 1 1 [267,] 2 1 [268,] 1 1 [269,] 2 1 [270,] 1 1 [271,] 2 1 [272,] 2 1 [273,] 2 1 [274,] 1 1 [275,] 1 1 [276,] 1 1 [277,] 1 1 [278,] 1 1 [279,] 2 1 [280,] 1 1 [281,] 2 1 [282,] 1 1 [283,] 1 1 [284,] 1 1 [285,] 1 1 [286,] 1 1 [287,] 2 1 [288,] 1 1 [289,] 2 1 [290,] 1 1 [291,] 2 1 [292,] 1 1 [293,] 1 1 [294,] 1 1 [295,] 1 1 [296,] 2 1 [297,] 1 1 [298,] 2 1 [299,] 1 1 [300,] 1 1 [301,] 2 1 [302,] 1 1 [303,] 1 1 [304,] 2 1 [305,] 1 1 [306,] 1 1 [307,] 2 1 [308,] 2 1 [309,] 1 1 [310,] 2 1 [311,] 2 1 [312,] 1 1 [313,] 2 1 [314,] 2 1 [315,] 1 1 [316,] 1 1 [317,] 1 1 [318,] 1 1 [319,] 1 1 [320,] 1 1 [321,] 1 1 [322,] 1 1 [323,] 1 1 [324,] 2 1 [325,] 1 1 [326,] 1 1 [327,] 2 1 [328,] 2 1 [329,] 1 1 [330,] 1 1 [331,] 1 1 [332,] 1 1 [333,] 1 1 [334,] 1 1 [335,] 1 1 [336,] 1 1 [337,] 1 1 [338,] 1 1 [339,] 1 1 [340,] 1 1 [341,] 1 1 [342,] 1 1 [343,] 1 1 [344,] 1 1 [345,] 1 1 [346,] 1 1 [347,] 1 1 [348,] 1 1 [349,] 1 1 [350,] 1 1 [351,] 1 1 [352,] 1 1 [353,] 1 1 [354,] 1 1 [355,] 1 1 [356,] 1 1 [357,] 1 1 [358,] 1 1 [359,] 1 1 [360,] 1 1 [361,] 1 1 [362,] 1 1 [363,] 1 1 [364,] 2 1 [365,] 1 1 [366,] 1 1 [367,] 1 1 [368,] 1 1 [369,] 1 1 [370,] 1 1 [371,] 1 1 [372,] 1 1 [373,] 1 1 [374,] 1 1 [375,] 1 1 [376,] 1 1 [377,] 1 1 [378,] 1 1 [379,] 1 1 [380,] 1 1 [381,] 1 1 [382,] 1 1 [383,] 1 1 [384,] 1 1 [385,] 1 1 [386,] 1 1 [387,] 1 1 [388,] 1 1 [389,] 1 1 [390,] 1 1 [391,] 1 1 [392,] 1 1 [393,] 1 1 [394,] 1 1 [395,] 2 1 [396,] 1 1 [397,] 1 1 [398,] 2 2 [399,] 1 1 [400,] 2 1 [401,] 1 1 [402,] 1 1 [403,] 1 1 [404,] 2 1 [405,] 1 1 [406,] 1 1 [407,] 1 1 [408,] 1 1 [409,] 1 1 [410,] 1 1 [411,] 1 1 [412,] 2 1 [413,] 2 1 [414,] 2 1 [415,] 1 1 [416,] 1 1 [417,] 1 1 [418,] 2 1 [419,] 1 1 [420,] 1 1 [421,] 1 1 [422,] 1 1 [423,] 2 1 [424,] 1 1 [425,] 1 1 [426,] 2 1 [427,] 1 1 [428,] 1 1 [429,] 1 1 [430,] 1 1 [431,] 1 1 0 1 0 299 12 1 89 31 > postscript(file="/var/www/html/freestat/rcomp/tmp/4i87d1293202742.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > if(par2=='none') { + op <- par(mfrow=c(2,2)) + plot(density(result$Actuals),main='Kernel Density Plot of Actuals') + plot(density(result$Residuals),main='Kernel Density Plot of Residuals') + plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals') + plot(density(result$Forecasts),main='Kernel Density Plot of Predictions') + par(op) + } > if(par2!='none') { + plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted') + } > dev.off() null device 1 > if (par2 == 'none') { + detcoef <- cor(result$Forecasts,result$Actuals) + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Goodness of Fit',2,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'Correlation',1,TRUE) + a<-table.element(a,round(detcoef,4)) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'R-squared',1,TRUE) + a<-table.element(a,round(detcoef*detcoef,4)) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'RMSE',1,TRUE) + a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4)) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/www/html/freestat/rcomp/tmp/5wz541293202742.tab") + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'#',header=TRUE) + a<-table.element(a,'Actuals',header=TRUE) + a<-table.element(a,'Forecasts',header=TRUE) + a<-table.element(a,'Residuals',header=TRUE) + a<-table.row.end(a) + for (i in 1:length(result$Actuals)) { + a<-table.row.start(a) + a<-table.element(a,i,header=TRUE) + a<-table.element(a,result$Actuals[i]) + a<-table.element(a,result$Forecasts[i]) + a<-table.element(a,result$Residuals[i]) + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/www/html/freestat/rcomp/tmp/66r471293202742.tab") + } > if (par2 != 'none') { + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'',1,TRUE) + for (i in 1:par3) { + a<-table.element(a,paste('C',i,sep=''),1,TRUE) + } + a<-table.row.end(a) + for (i in 1:par3) { + a<-table.row.start(a) + a<-table.element(a,paste('C',i,sep=''),1,TRUE) + for (j in 1:par3) { + a<-table.element(a,myt[i,j]) + } + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/www/html/freestat/rcomp/tmp/7ar3d1293202742.tab") + } > > try(system("convert tmp/2pyqs1293202742.ps tmp/2pyqs1293202742.png",intern=TRUE)) character(0) > try(system("convert tmp/3pyqs1293202742.ps tmp/3pyqs1293202742.png",intern=TRUE)) character(0) > try(system("convert tmp/4i87d1293202742.ps tmp/4i87d1293202742.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 5.822 0.662 6.031