R version 2.9.0 (2009-04-17) Copyright (C) 2009 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. 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 <- c(126.64 + ,126.81 + ,125.84 + ,126.77 + ,124.34 + ,124.4 + ,120.48 + ,118.54 + ,117.66 + ,116.97 + ,120.11 + ,119.16 + ,116.9 + ,116.11 + ,114.98 + ,113.65 + ,115.82 + ,117.59 + ,118.57 + ,118.07 + ,114.98 + ,114.04 + ,115.02 + ,114.28 + ,115.04 + ,116.7 + ,119.21 + ,118.39 + ,116.5 + ,115.46 + ,117.59 + ,117.33 + ,116.2 + ,116.83 + ,118.99 + ,118.62 + ,121.09 + ,122.4 + ,123.76 + ,125.33 + ,123.23 + ,122.52 + ,123.64 + ,124.67 + ,124.71 + ,122.53 + ,124.4 + ,125.45 + ,125.35 + ,124.3 + ,127.03 + ,128.51 + ,128.1 + ,128.94 + ,129.67 + ,129.87 + ,131.12 + ,132.68 + ,132.24 + ,133.63 + ,129.91 + ,127.93 + ,131.17 + ,130.86 + ,133.48 + ,134.08 + ,136.02 + ,132.8 + ,132.37 + ,133.05 + ,132.57 + ,130.7 + ,130.5 + ,129.67 + ,127.8 + ,126.82 + ,126.85 + ,128.28 + ,128.3 + ,126.82 + ,125.08 + ,128.53 + ,130.34 + ,131.52 + ,132.59 + ,131.17 + ,132.72 + ,133.36 + ,132.82 + ,132.9 + ,130.9 + ,129.41 + ,128.67 + ,129.28 + ,130.91 + ,131.06 + ,130.84 + ,131.41 + ,133.22 + ,132.06 + ,132.48 + ,134.38 + ,135.22 + ,134.89 + ,136.09 + ,136.33 + ,136.32 + ,137.48 + ,136.53 + ,136.8 + ,138.03 + ,137.39 + ,137.55 + ,136.08 + ,134.78 + ,133.28 + ,133.57 + ,134.84 + ,133.02 + ,133.49 + ,133.77 + ,134.34 + ,134.5 + ,134.03 + ,135.51 + ,136.53 + ,135.95 + ,134.32 + ,132.44 + ,133.61 + ,131.02 + ,130.05 + ,128.21 + ,129.03 + ,130.34 + ,131.57 + ,132.63 + ,132.06 + ,134.44 + ,134.1 + ,132.49 + ,134.23 + ,134.92 + ,135.61 + ,134.53 + ,133.86 + ,133.89 + ,135.33 + ,135.86 + ,136.22 + ,137.38 + ,137.31 + ,136.89 + ,138.01 + ,136.72 + ,135.77 + ,137.52 + ,135.61 + ,132.94 + ,134.12 + ,132.55 + ,134.11 + ,134.19 + ,135.57 + ,135.05 + ,134.32 + ,133.61 + ,134.75 + ,133.1 + ,133.26 + ,131.63 + ,132.47 + ,132.45 + ,133.33 + ,133.57 + ,134.13 + ,133.92 + ,132.62 + ,132.3 + ,133.26 + ,132.6 + ,134.38 + ,134.17 + ,135.46 + ,135.09 + ,134.96 + ,133.85 + ,132.59 + ,131.15 + ,130.91 + ,131.07 + ,130.78 + ,129.95 + ,131.41 + ,131.21 + ,130.68 + ,130.46 + ,131.12 + ,132.99 + ,133.02 + ,133.39 + ,134.07 + ,135.6 + ,135.66 + ,135.53 + ,135.82 + ,136.9 + ,137.97 + ,138.09 + ,136.91 + ,134.76 + ,135.13 + ,134.66 + ,132.95 + ,132.25 + ,134.3 + ,134.3 + ,134.76 + ,134.81 + ,134.51 + ,135.11 + ,134.32 + ,133.51 + ,134.02 + ,132.76 + ,133.39 + ,132.05 + ,131.87 + ,133.03 + ,132.57 + ,132.1 + ,130.7 + ,129.2 + ,129.77 + ,131.02 + ,131.55 + ,133.17 + ,133.08 + ,133.24 + ,130.74 + ,129.91 + ,130.03 + ,131.13 + ,129.55 + ,130.22 + ,130.61 + ,129.27 + ,129.68 + ,130.1 + ,130.83 + ,130.95 + ,131.73 + ,131.86 + ,132.44 + ,132.35 + ,133.16 + ,133.62 + ,132.54 + ,132.69 + ,133.5 + ,133.36 + ,134.23 + ,132.41 + ,133.02 + ,132.88 + ,130.76 + ,130.33 + ,129.79 + ,128.65 + ,129.14 + ,127.35 + ,127.74 + ,126.31 + ,125.95 + ,126.36 + ,126.15 + ,125.6 + ,126.2 + ,126.73 + ,125.68 + ,122.49 + ,122.07 + ,123.4 + ,123.01 + ,123.03 + ,122.33 + ,122.42 + ,122.68 + ,124.69 + ,123.3 + ,124.17 + ,124.38 + ,123.19 + ,122.16 + ,120.66 + ,120.92 + ,120.67 + ,120.68 + ,121.1 + ,120.86 + ,121.48 + ,123.48 + ,121.72 + ,123.16 + ,123.84 + ,124.57 + ,124.3 + ,124.22 + ,124.43 + ,123.33 + ,122.86 + ,121.25 + ,122.16 + ,122.62 + ,123.44 + ,124 + ,124.75 + ,124.8 + ,125.93 + ,126.28 + ,126.04 + ,125.04 + ,123.76 + ,125.34 + ,126.99 + ,126.34 + ,127.42 + ,126.18 + ,125.3 + ,123.5 + ,125.32 + ,124.65 + ,124.03 + ,125.11 + ,125.46 + ,124.7 + ,124.48 + ,124.76 + ,125.81 + ,124.95 + ,123.66 + ,122.66 + ,119.34 + ,117.84 + ,120.97 + ,117.38 + ,118.06 + ,116.99 + ,115.55 + ,114.17 + ,115.32 + ,112.49 + ,111.93 + ,112.08 + ,111.63 + ,109.53 + ,111.35 + ,110.79 + ,113.06 + ,112.62 + ,110.65 + ,112.36 + ,113.74 + ,111.73 + ,109.86 + ,109.32 + ,109.99 + ,109.84 + ,111.13 + ,112.43 + ,111.77 + ,112.15 + ,112.89 + ,112.12 + ,113.1 + ,111.09 + ,110.76 + ,109.59 + ,109.99 + ,110.25 + ,108.31 + ,108.79 + ,108.14 + ,109.88 + ,109.93 + ,110.46 + ,109.56 + ,111.49 + ,111.85 + ,111.35 + ,110.95 + ,112.49 + ,113.11 + ,112.54 + ,112.84 + ,111.5 + ,111.52 + ,111.57 + ,112.48 + ,112.31 + ,113.79 + ,114.01 + ,113.64 + ,112.62 + ,113.27 + ,113.51 + ,112.92 + ,113.66 + ,113.14 + ,113.48 + ,113.23 + ,110.56 + ,109.5 + ,109.78 + ,109.49 + ,109.66 + ,109.93 + ,109.82 + ,108.54 + ,108.23 + ,106.19 + ,106.49 + ,107.15 + ,107.74 + ,107.54 + ,107.07 + ,107.54 + ,107.81 + ,108.38 + ,108.42 + ,106.86 + ,106.41 + ,106.46 + ,106.84 + ,107.69 + ,107.04 + ,111.04 + ,111.93 + ,111.98 + ,112.07 + ,112.05 + ,113.14 + ,112.49 + ,113.2 + ,113.52 + ,113.22 + ,113.85 + ,113.68 + ,114.26 + ,114.1 + ,114.8 + ,114.98 + ,115.1 + ,114.21 + ,114.24 + ,113.35 + ,114.23 + ,114.43 + ,114.28 + ,113 + ,113.16 + ,112.59 + ,113.65 + ,113.18 + ,113.21 + ,113.11 + ,112.78 + ,112.57 + ,111.87 + ,111.94 + ,113.18 + ,113.67 + ,115.15 + ,114.41 + ,112.88 + ,112.44 + ,113.48 + ,112.78 + ,112.59 + ,113.31 + ,113.21 + ,112.5 + ,113.72 + ,114.09 + ,113.97 + ,112.5 + ,111.28 + ,111.35 + ,110.92 + ,110.73 + ,109) > par1 = '5' > par1 <- 5 > nx <- length(x) > x <- ts(x,frequency=par1) > m <- StructTS(x,type='BSM') > m$coef level slope seas epsilon 1.389682e+00 0.000000e+00 -9.758025e-17 0.000000e+00 > m$fitted Time Series: Start = c(1, 1) End = c(99, 1) Frequency = 5 level slope sea 1.0 126.6400 0.0000000000 0.0000000000 1.2 126.7845 0.0254999990 0.0254999990 1.4 125.8388 0.0012195121 0.0012195121 1.6 126.7467 0.0233333325 0.0233333325 1.8 124.3737 -0.0337209291 -0.0337209291 2.0 124.2854 -0.0286440671 0.1145762684 2.2 120.7454 -0.2653684169 -0.2653684169 2.4 118.8228 -0.2828124956 -0.2828124956 2.6 117.9490 -0.2889690677 -0.2889690677 2.8 117.2631 -0.2930612200 -0.2930612200 3.0 118.6616 -0.3621052584 1.4484210336 3.2 119.4732 -0.3131999969 -0.3131999969 3.4 117.2261 -0.3260927120 -0.3260927120 3.6 116.4391 -0.3291447336 -0.3291447336 3.8 115.3144 -0.3343790817 -0.3343790817 4.0 112.5650 -0.2712426011 1.0849704046 4.2 115.9801 -0.1600975598 -0.1600975598 4.4 117.7407 -0.1507281542 -0.1507281542 4.6 118.7153 -0.1452656994 -0.1452656994 4.8 118.2170 -0.1469711528 -0.1469711528 5.0 114.6548 -0.0812946423 0.3251785693 5.2 114.1317 -0.0917307687 -0.0917307687 5.4 115.1076 -0.0876245206 -0.0876245206 5.6 114.3701 -0.0901145033 -0.0901145033 5.8 115.1269 -0.0868821288 -0.0868821288 6.0 116.2772 -0.1056989242 0.4227956967 6.2 119.2558 -0.0458095236 -0.0458095236 6.4 118.4383 -0.0482594934 -0.0482594934 6.6 116.5541 -0.0540694004 -0.0540694004 6.8 115.5172 -0.0571698111 -0.0571698111 7.0 117.2702 -0.0799401194 0.3197604776 7.2 117.4064 -0.0763783781 -0.0763783781 7.4 116.2792 -0.0792183285 -0.0792183285 7.6 116.9073 -0.0773118276 -0.0773118276 7.8 119.0613 -0.0713136726 -0.0713136726 8.0 118.3617 -0.0645758352 0.2583033409 8.2 121.1142 -0.0242352940 -0.0242352940 8.4 122.4211 -0.0211032863 -0.0211032863 8.6 123.7779 -0.0178688524 -0.0178688524 8.8 125.3442 -0.0141588785 -0.0141588785 9.0 123.2511 0.0052702702 -0.0210810810 9.2 122.5240 -0.0040000000 -0.0040000000 9.4 123.6417 -0.0016632017 -0.0016632017 9.6 124.6695 0.0004771784 0.0004771784 9.8 124.7094 0.0005590062 0.0005590062 10.0 122.6021 0.0180160320 -0.0720641280 10.2 124.3622 0.0377757008 0.0377757008 10.4 125.4103 0.0396641790 0.0396641790 10.6 125.3106 0.0394040967 0.0394040967 10.8 124.2626 0.0373791820 0.0373791820 11.0 127.0964 0.0165884476 -0.0663537904 11.2 128.4794 0.0306271186 0.0306271186 11.4 128.0701 0.0298815566 0.0298815566 11.6 128.9088 0.0312499999 0.0312499999 11.8 129.6376 0.0324283304 0.0324283304 12.0 129.9911 0.0302627257 -0.1210509028 12.2 131.0798 0.0402015503 0.0402015503 12.4 132.6374 0.0425541795 0.0425541795 12.6 132.1982 0.0418083461 0.0418083461 12.8 133.5861 0.0438888888 0.0438888888 13.0 130.1710 0.0652409637 -0.2609638548 13.2 127.8851 0.0449142856 0.0449142856 13.4 131.1205 0.0494721825 0.0494721825 13.6 130.8110 0.0489601139 0.0489601139 13.8 133.4274 0.0526173541 0.0526173541 14.0 134.2724 0.0481084839 -0.1924339356 14.2 135.9588 0.0612317880 0.0612317880 14.4 132.7431 0.0568915343 0.0568915343 14.6 132.3138 0.0562483486 0.0562483486 14.8 132.9929 0.0570712400 0.0570712400 15.0 132.8035 0.0583720929 -0.2334883716 15.2 130.6581 0.0419259258 0.0419259258 15.4 130.4584 0.0416276201 0.0416276201 15.6 129.6294 0.0405541871 0.0405541871 15.8 127.7618 0.0382041820 0.0382041820 16.0 126.9888 0.0421954161 -0.1687816643 16.2 126.8094 0.0406473988 0.0406473988 16.4 128.2377 0.0422517320 0.0422517320 16.6 128.2578 0.0422260668 0.0422260668 16.8 126.7795 0.0404723502 0.0404723502 17.0 125.2705 0.0476131221 -0.1904524884 17.2 128.4618 0.0682499999 0.0682499999 17.4 130.2699 0.0701411508 0.0701411508 17.6 131.4487 0.0713449023 0.0713449023 17.8 132.5176 0.0724268688 0.0724268688 18.0 131.4790 0.0772417464 -0.3089669857 18.2 132.6361 0.0839282050 0.0839282050 18.4 133.2755 0.0844979507 0.0844979507 18.6 132.7361 0.0838587511 0.0838587511 18.8 132.8161 0.0838548056 0.0838548056 19.0 131.2622 0.0905533198 -0.3622132791 19.2 129.3313 0.0787087377 0.0787087377 19.4 128.5921 0.0779146459 0.0779146459 19.6 129.2016 0.0784302324 0.0784302324 19.8 130.8301 0.0799322361 0.0799322361 20.0 131.3726 0.0781410866 -0.3125643465 20.2 130.7657 0.0743317971 0.0743317971 20.4 131.3352 0.0747882135 0.0747882135 20.6 133.1436 0.0763845445 0.0763845445 20.8 131.9848 0.0752481617 0.0752481617 21.0 132.7705 0.0726358695 -0.2905434779 21.2 134.2997 0.0803421052 0.0803421052 21.4 135.1390 0.0810078877 0.0810078877 21.6 134.8094 0.0806479859 0.0806479859 21.8 136.0084 0.0816272965 0.0816272965 22.0 136.6487 0.0796721310 -0.3186885242 22.2 136.2428 0.0772217572 0.0772217572 22.4 137.4019 0.0781270902 0.0781270902 22.6 136.4527 0.0772681703 0.0772681703 22.8 136.7226 0.0774290483 0.0774290483 23.0 138.3194 0.0723558483 -0.2894233934 23.2 137.3228 0.0671999999 0.0671999999 23.4 137.4827 0.0672741806 0.0672741806 23.6 136.0140 0.0660463258 0.0660463258 23.8 134.7150 0.0649561053 0.0649561053 24.0 133.5555 0.0688652481 -0.2754609926 24.2 133.5017 0.0682988505 0.0682988505 24.4 134.7708 0.0692189892 0.0692189892 24.6 132.9522 0.0677735271 0.0677735271 24.8 133.4219 0.0680810397 0.0680810397 25.0 134.0356 0.0664123866 -0.2656495465 25.2 134.2728 0.0671691176 0.0671691176 25.4 134.4328 0.0672373254 0.0672373254 25.6 133.9632 0.0668428780 0.0668428780 25.8 135.4421 0.0678796771 0.0678796771 26.0 136.7865 0.0641334300 -0.2565337198 26.2 135.8900 0.0600424028 0.0600424028 26.4 134.2612 0.0588488700 0.0588488700 26.6 132.3825 0.0574805927 0.0574805927 26.8 133.5517 0.0582651621 0.0582651621 27.0 131.2794 0.0648396094 -0.2593584377 27.2 129.9907 0.0592925169 0.0592925169 27.4 128.1520 0.0580013596 0.0580013596 27.6 128.9715 0.0585190217 0.0585190217 27.8 130.2806 0.0593686354 0.0593686354 28.0 131.7917 0.0554264607 -0.2217058426 28.2 132.5717 0.0582885245 0.0582885245 28.4 132.0021 0.0578768020 0.0578768020 28.6 134.3806 0.0593975114 0.0593975114 28.8 134.0409 0.0591361256 0.0591361256 29.0 132.7408 0.0626943005 -0.2507772018 29.2 134.1621 0.0678734177 0.0678734177 29.4 134.8517 0.0682669196 0.0682669196 29.6 135.5413 0.0686599241 0.0686599241 29.8 134.4621 0.0679343019 0.0679343019 30.0 134.1357 0.0689305815 -0.2757223262 30.2 133.8225 0.0675229357 0.0675229357 30.4 135.2616 0.0683618581 0.0683618581 30.6 135.7914 0.0686438607 0.0686438607 30.8 136.1512 0.0688217338 0.0688217338 31.0 137.6414 0.0653506650 -0.2614026600 31.2 137.2463 0.0637100591 0.0637100591 31.4 136.8266 0.0634240094 0.0634240094 31.6 137.9460 0.0640484633 0.0640484633 31.8 136.6568 0.0632486709 0.0632486709 32.0 136.0295 0.0648800468 -0.2595201870 32.2 137.4504 0.0695587392 0.0695587392 32.4 135.5416 0.0684249713 0.0684249713 32.6 132.8731 0.0668574699 0.0668574699 32.8 134.0525 0.0674942791 0.0674942791 33.0 132.8318 0.0704421768 -0.2817687072 33.2 134.0358 0.0742333333 0.0742333333 33.4 134.1158 0.0742365352 0.0742365352 33.6 135.4950 0.0749611542 0.0749611542 33.8 134.9754 0.0746311702 0.0746311702 34.0 134.6223 0.0755799889 -0.3023199558 34.2 133.5382 0.0718167115 0.0718167115 34.4 134.6776 0.0723922413 0.0723922413 34.6 133.0285 0.0714647280 0.0714647280 34.8 133.1885 0.0715123788 0.0715123788 35.0 131.9275 0.0743810031 -0.2975240126 35.2 132.3944 0.0756178010 0.0756178010 35.4 132.3744 0.0755677655 0.0755677655 35.6 133.2540 0.0759884937 0.0759884937 35.8 133.4939 0.0760742289 0.0760742289 36.0 134.4271 0.0742820113 -0.2971280454 36.2 133.8477 0.0722798982 0.0722798982 36.4 132.5484 0.0715818921 0.0715818921 36.6 132.2286 0.0713828164 0.0713828164 36.8 133.1882 0.0718343495 0.0718343495 37.0 132.8903 0.0725856854 -0.2903427417 37.2 134.3034 0.0765792079 0.0765792079 37.4 134.0936 0.0764374072 0.0764374072 37.6 135.3830 0.0770375865 0.0770375865 37.8 135.0132 0.0768166089 0.0768166089 38.0 135.2659 0.0764688572 -0.3058754289 38.2 133.7781 0.0719325301 0.0719325301 38.4 132.5187 0.0712909441 0.0712909441 38.6 131.0794 0.0705633124 0.0705633124 38.8 130.8396 0.0704138594 0.0704138594 39.0 131.3483 0.0695702005 -0.2782808021 39.2 130.7124 0.0675774647 0.0675774647 39.4 129.8828 0.0671562646 0.0671562646 39.6 131.3422 0.0678095684 0.0678095684 39.8 131.1423 0.0676840131 0.0676840131 40.0 130.9527 0.0681665891 -0.2726663563 40.2 130.3936 0.0664393592 0.0664393592 40.4 131.0533 0.0667108874 0.0667108874 40.6 132.9225 0.0675354366 0.0675354366 40.8 132.9525 0.0675182815 0.0675182815 41.0 133.6554 0.0663566243 -0.2654264971 41.2 134.0029 0.0671116071 0.0671116071 41.4 135.5322 0.0677643909 0.0677643909 41.6 135.5922 0.0677609277 0.0677609277 41.8 135.4623 0.0676727597 0.0676727597 42.0 136.0867 0.0666799468 -0.2667197873 42.2 136.8315 0.0684575163 0.0684575163 42.4 137.9011 0.0688937282 0.0688937282 42.6 138.0211 0.0689159773 0.0689159773 42.8 136.8416 0.0683724978 0.0683724978 43.0 135.0465 0.0716162489 -0.2864649955 43.2 135.0585 0.0714638297 0.0714638297 43.4 134.5888 0.0712335176 0.0712335176 43.6 132.8795 0.0704761904 0.0704761904 43.8 132.1799 0.0701487462 0.0701487462 44.0 134.5649 0.0662135922 -0.2648543688 44.2 134.2348 0.0652224532 0.0652224532 44.4 134.6946 0.0653865336 0.0653865336 44.6 134.7446 0.0653801412 0.0653801412 44.8 134.4448 0.0652284053 0.0652284053 45.0 135.3652 0.0638077557 -0.2552310229 45.2 134.2591 0.0609471544 0.0609471544 45.4 133.4494 0.0605932547 0.0605932547 45.6 133.9592 0.0607757920 0.0607757920 45.8 132.6998 0.0602395452 0.0602395452 46.0 133.6253 0.0588342073 -0.2353368292 46.2 131.9952 0.0547952286 0.0547952286 46.4 131.8153 0.0547019078 0.0547019078 46.6 132.9749 0.0551410409 0.0551410409 46.8 132.5151 0.0549364575 0.0549364575 47.0 132.3213 0.0553314917 -0.2213259667 47.2 130.6487 0.0512879377 0.0512879377 47.4 129.1493 0.0506845585 0.0506845585 47.6 129.7191 0.0508864696 0.0508864696 47.8 130.9686 0.0513525068 0.0513525068 48.0 131.7509 0.0502162997 -0.2008651988 48.2 133.1168 0.0532304762 0.0532304762 48.4 133.0268 0.0531759329 0.0531759329 48.6 133.1868 0.0532165968 0.0532165968 48.8 130.6878 0.0522450532 0.0522450532 49.0 130.1227 0.0531845688 -0.2127382752 49.2 129.9773 0.0527388059 0.0527388059 49.4 131.0769 0.0531294293 0.0531294293 49.6 129.4975 0.0525205071 0.0525205071 49.8 130.1672 0.0527506522 0.0527506522 50.0 130.8174 0.0518599481 -0.2074397924 50.2 129.2218 0.0482376599 0.0482376599 50.4 129.6316 0.0483698830 0.0483698830 50.6 130.0515 0.0485056631 0.0485056631 50.8 130.7812 0.0487545653 0.0487545653 51.0 131.1432 0.0482970225 -0.1931880899 51.2 131.6806 0.0493512545 0.0493512545 51.4 131.8106 0.0493801505 0.0493801505 51.6 132.3904 0.0495702005 0.0495702005 51.8 132.3005 0.0495202291 0.0495202291 52.0 133.3523 0.0480847276 -0.1923389105 52.2 133.5716 0.0484463972 0.0484463972 52.4 132.4920 0.0480498946 0.0480498946 52.6 132.6419 0.0480857042 0.0480857042 52.8 133.4516 0.0483532303 0.0483532303 53.0 133.5531 0.0482786313 -0.1931145250 53.2 134.1805 0.0494793103 0.0494793103 53.4 132.3612 0.0488348845 0.0488348845 53.6 132.9710 0.0490282563 0.0490282563 53.8 132.8310 0.0489631416 0.0489631416 54.0 130.9664 0.0515998629 -0.2063994518 54.2 130.2799 0.0500981387 0.0500981387 54.4 129.7401 0.0498985115 0.0498985115 54.6 128.6005 0.0494961109 0.0494961109 54.8 129.0904 0.0496450304 0.0496450304 55.0 127.5571 0.0517854741 -0.2071418963 55.2 127.6881 0.0519435216 0.0519435216 55.4 126.2585 0.0514513450 0.0514513450 55.6 125.8987 0.0513147410 0.0513147410 55.8 126.3086 0.0514337869 0.0514337869 56.0 126.3558 0.0514394189 -0.2057576757 56.2 125.5502 0.0497585644 0.0497585644 56.4 126.1501 0.0499380300 0.0499380300 56.6 126.6799 0.0500945549 0.0500945549 56.8 125.6303 0.0497359843 0.0497359843 57.0 122.7045 0.0536154345 -0.2144617379 57.2 122.0178 0.0521891025 0.0521891025 57.4 123.3474 0.0525985261 0.0525985261 57.6 122.9575 0.0524567585 0.0524567585 57.8 122.9776 0.0524463656 0.0524463656 58.0 122.5423 0.0530710417 -0.2122841668 58.2 122.3674 0.0526393701 0.0526393701 58.4 122.6273 0.0527046599 0.0527046599 58.6 124.6367 0.0533207428 0.0533207428 58.8 123.2471 0.0528665827 0.0528665827 59.0 124.3760 0.0515122104 -0.2060488415 59.2 124.3287 0.0513281734 0.0513281734 59.4 123.1391 0.0509439802 0.0509439802 59.6 122.1094 0.0506095297 0.0506095297 59.8 120.6099 0.0501299103 0.0501299103 60.0 121.1183 0.0495629424 -0.1982517697 60.2 120.6214 0.0485631659 0.0485631659 60.4 120.6314 0.0485514303 0.0485514303 60.6 121.0513 0.0486644356 0.0486644356 60.8 120.8114 0.0485766423 0.0485766423 61.0 121.6704 0.0475907990 -0.1903631960 61.2 123.4293 0.0506706587 0.0506706587 61.4 121.6699 0.0501287040 0.0501287040 61.6 123.1095 0.0505445841 0.0505445841 61.8 123.7893 0.0507328746 0.0507328746 62.0 124.7685 0.0496219113 -0.1984876450 62.2 124.2514 0.0486185567 0.0486185567 62.4 124.1714 0.0485806831 0.0485806831 62.6 124.3814 0.0486282013 0.0486282013 62.8 123.2817 0.0482901707 0.0482901707 63.0 123.0545 0.0486145284 -0.1944581136 63.2 121.2047 0.0453072464 0.0453072464 63.4 122.1144 0.0455578093 0.0455578093 63.6 122.5743 0.0456778679 0.0456778679 63.8 123.3941 0.0459021141 0.0459021141 64.0 124.1802 0.0450446814 -0.1801787258 64.2 124.7041 0.0458659058 0.0458659058 64.4 124.7541 0.0458670850 0.0458670850 64.6 125.8838 0.0461762190 0.0461762190 64.8 126.2337 0.0462628278 0.0462628278 65.0 126.2253 0.0463251986 -0.1853007945 65.2 124.9958 0.0441713483 0.0441713483 65.4 123.7162 0.0437994945 0.0437994945 65.6 125.2958 0.0442307692 0.0442307692 65.8 126.9453 0.0446814482 0.0446814482 66.0 126.5208 0.0452081587 -0.1808326347 66.2 127.3734 0.0465504841 0.0465504841 66.4 126.1338 0.0461946902 0.0461946902 66.6 125.2541 0.0459386231 0.0459386231 66.8 123.4546 0.0454284135 0.0454284135 67.0 125.4929 0.0432250963 -0.1729003852 67.2 124.6083 0.0417057221 0.0417057221 67.4 123.9885 0.0415254699 0.0415254699 67.6 125.0682 0.0418082788 0.0418082788 67.8 125.4181 0.0418921862 0.0418921862 68.0 124.8701 0.0425345622 -0.1701382488 68.2 124.4382 0.0417691275 0.0417691275 68.4 124.7182 0.0418330649 0.0418330649 68.6 125.7679 0.0421035685 0.0421035685 68.8 124.9081 0.0418615880 0.0418615880 69.0 123.8322 0.0430608974 -0.1722435897 69.2 122.6189 0.0410634920 0.0410634920 69.4 119.2998 0.0401745570 0.0401745570 69.6 117.8002 0.0397673189 0.0397673189 69.8 120.9294 0.0405841924 0.0405841924 70.0 117.5568 0.0441932087 -0.1767728349 70.2 118.0152 0.0448422425 0.0448422425 70.4 116.9454 0.0445516162 0.0445516162 70.6 115.5058 0.0441647120 0.0441647120 70.8 114.1262 0.0437936425 0.0437936425 71.0 115.4897 0.0424182667 -0.1696730669 71.2 112.4523 0.0376606684 0.0376606684 71.4 111.8925 0.0375070676 0.0375070676 71.6 112.0425 0.0375359712 0.0375359712 71.8 111.5926 0.0374107372 0.0374107372 72.0 109.6876 0.0394064978 -0.1576259912 72.2 111.3082 0.0418149556 0.0418149556 72.4 110.7483 0.0416624430 0.0416624430 72.6 113.0178 0.0422270078 0.0422270078 72.8 112.5779 0.0421048632 0.0421048632 73.0 110.8257 0.0439228052 -0.1756912209 73.2 112.3139 0.0460925000 0.0460925000 73.4 113.6936 0.0464258935 0.0464258935 73.6 111.6841 0.0459120440 0.0459120440 73.8 109.8146 0.0454334249 0.0454334249 74.0 109.5032 0.0457899975 -0.1831599900 74.2 109.9436 0.0463748459 0.0463748459 74.4 109.7937 0.0463264300 0.0463264300 74.6 111.0834 0.0466329800 0.0466329800 74.8 112.3831 0.0469418433 0.0469418433 75.0 111.9596 0.0474054983 -0.1896219931 75.2 112.1025 0.0475450121 0.0475450121 75.4 112.8423 0.0477134517 0.0477134517 75.6 112.0725 0.0475145914 0.0475145914 75.8 113.0523 0.0477413080 0.0477413080 76.0 111.2880 0.0495035117 -0.1980140469 76.2 110.7114 0.0486002401 0.0486002401 76.4 109.5417 0.0483077292 0.0483077292 76.6 109.9416 0.0483921286 0.0483921286 76.8 110.2016 0.0484428983 0.0484428983 77.0 108.5104 0.0501123327 -0.2004493307 77.2 108.7396 0.0503672986 0.0503672986 77.4 108.0898 0.0502013741 0.0502013741 77.6 109.8294 0.0506016106 0.0506016106 77.8 109.8794 0.0506014681 0.0506014681 78.0 110.6596 0.0499103562 -0.1996414248 78.2 109.5118 0.0482269006 0.0482269006 78.4 111.4413 0.0486669785 0.0486669785 78.6 111.8013 0.0487397708 0.0487397708 78.8 111.3014 0.0486115007 0.0486115007 79.0 111.1452 0.0488029809 -0.1952119235 79.2 112.4395 0.0505311778 0.0505311778 79.4 113.0593 0.0506626645 0.0506626645 79.6 112.4895 0.0505193906 0.0505193906 79.8 112.7894 0.0505769674 0.0505769674 80.0 111.7065 0.0516233617 -0.2064934467 80.2 111.4688 0.0512269099 0.0512269099 80.4 111.5188 0.0512266302 0.0512266302 80.6 112.4286 0.0514223843 0.0514223843 80.8 112.2586 0.0513719234 0.0513719234 81.0 113.9894 0.0498410536 -0.1993642143 81.2 113.9603 0.0497342342 0.0497342342 81.4 113.5904 0.0496397208 0.0496397208 81.6 112.5706 0.0493989194 0.0493989194 81.8 113.2205 0.0495340986 0.0495340986 82.0 113.7066 0.0491410630 -0.1965642520 82.2 112.8720 0.0479599555 0.0479599555 82.4 113.6119 0.0481138790 0.0481138790 82.6 113.0920 0.0479875472 0.0479875472 82.8 113.4319 0.0480524677 0.0480524677 83.0 113.4224 0.0481036774 -0.1924147097 83.2 110.5158 0.0442021978 0.0442021978 83.4 109.4560 0.0439595693 0.0439595693 83.6 109.7360 0.0440114235 0.0440114235 83.8 109.4461 0.0439380628 0.0439380628 84.0 109.8345 0.0436353688 -0.1745414751 84.2 109.8864 0.0436460369 0.0436460369 84.4 109.7764 0.0436126791 0.0436126791 84.6 108.4967 0.0433253744 0.0433253744 84.8 108.1868 0.0432486979 0.0432486979 85.0 106.3695 0.0448637543 -0.1794550172 85.2 106.4451 0.0449034335 0.0449034335 85.4 107.1050 0.0450354001 0.0450354001 85.6 107.6948 0.0451522951 0.0451522951 85.8 107.4949 0.0450997212 0.0450997212 86.0 107.2514 0.0453472964 -0.1813891857 86.2 107.4944 0.0455991516 0.0455991516 86.4 107.7644 0.0456467345 0.0456467345 86.6 108.3342 0.0457578970 0.0457578970 86.8 108.3742 0.0457566765 0.0457566765 87.0 107.0477 0.0469201521 -0.1876806083 87.2 106.3640 0.0460000000 0.0460000000 87.4 106.4140 0.0460008384 0.0460008384 87.6 106.7939 0.0460708298 0.0460708298 87.8 107.6438 0.0462392625 0.0462392625 88.0 107.2265 0.0466276884 -0.1865107538 88.2 110.9887 0.0512538860 0.0512538860 88.4 111.8786 0.0514276834 0.0514276834 88.6 111.9286 0.0514273876 0.0514273876 88.8 112.0186 0.0514353770 0.0514353770 89.0 112.2551 0.0512819983 -0.2051279933 89.2 113.0878 0.0522438524 0.0522438524 89.4 112.4379 0.0520999795 0.0520999795 89.6 113.1478 0.0522347398 0.0522347398 89.8 113.4677 0.0522895761 0.0522895761 90.0 113.4295 0.0523637477 -0.2094549907 90.2 113.7973 0.0527477203 0.0527477203 90.4 113.6273 0.0527025932 0.0527025932 90.6 114.2072 0.0528093984 0.0528093984 90.8 114.0472 0.0527663021 0.0527663021 91.0 115.0081 0.0520306823 -0.2081227290 91.2 114.9281 0.0518717435 0.0518717435 91.4 115.0481 0.0518853937 0.0518853937 91.6 114.1583 0.0516967147 0.0516967147 91.8 114.1883 0.0516923693 0.0516923693 92.0 113.5590 0.0522379716 -0.2089518865 92.2 114.1771 0.0529117938 0.0529117938 92.4 114.3771 0.0529409433 0.0529409433 92.6 114.2271 0.0529007331 0.0529007331 92.8 112.9474 0.0526366878 0.0526366878 93.0 113.3694 0.0523439968 -0.2093759873 93.2 112.5387 0.0513039216 0.0513039216 93.4 113.5985 0.0515016663 0.0515016663 93.6 113.1286 0.0513994512 0.0513994512 93.8 113.1586 0.0513952577 0.0513952577 94.0 113.3153 0.0513127564 -0.2052510255 94.2 112.7294 0.0505703201 0.0505703201 94.4 112.5195 0.0505197828 0.0505197828 94.6 111.8196 0.0503742486 0.0503742486 94.8 111.8896 0.0503780535 0.0503780535 95.0 113.3771 0.0492636258 -0.1970545032 95.2 113.6205 0.0494875240 0.0494875240 95.4 115.1002 0.0497620418 0.0497620418 95.6 114.3604 0.0496105142 0.0496105142 95.8 112.8307 0.0493075005 0.0493075005 96.0 112.6380 0.0494932109 -0.1979728437 96.2 113.4297 0.0503399810 0.0503399810 96.4 112.7298 0.0501974933 0.0501974933 96.6 112.5398 0.0501518891 0.0501518891 96.8 113.2597 0.0502790433 0.0502790433 97.0 113.4108 0.0502024981 -0.2008099924 97.2 112.4509 0.0490620301 0.0490620301 97.4 113.6707 0.0492820898 0.0492820898 97.6 114.0407 0.0493423525 0.0493423525 97.8 113.9207 0.0493105392 0.0493105392 98.0 112.7011 0.0502640944 -0.2010563775 98.2 111.2314 0.0485655814 0.0485655814 98.4 111.3014 0.0485695684 0.0485695684 98.6 110.8715 0.0484805654 0.0484805654 98.8 110.6816 0.0484362216 0.0484362216 99.0 109.1983 0.0495754542 -0.1983018168 > m$resid Time Series: Start = c(1, 1) End = c(99, 1) Frequency = 5 [1] 0.0000000000 0.0456027756 -0.8341067003 0.7784355204 -2.0567867007 [6] -0.0542297862 -2.5056579101 -1.4131483059 -0.5039677429 -0.3384488008 [11] 1.5476542410 0.9041587175 -1.6459656689 -0.3922294089 -0.6771305260 [16] -2.1530381636 2.9248352359 1.6332958569 0.9568611497 -0.3001918987 [21] -3.0064088177 -0.3560746400 0.9073908549 -0.5523438407 0.7197679018 [26] 1.0809557789 2.5101424891 -0.6556949496 -1.5598564337 -0.8350350311 [31] 1.5737581575 0.1770221053 -0.8925670699 0.6008107767 1.8953344260 [36] -0.5442921016 2.3190067651 1.1304838660 1.1701978588 1.3453923723 [41] -1.7961782387 -0.6050559384 0.9524817654 0.8742371096 0.0334919299 [46] -1.8175082061 1.4434370697 0.8578543014 -0.1183647985 -0.9232669459 [51] 2.4071222084 1.1347440453 -0.3734614390 0.6866314395 0.5922398223 [56] 0.2759926227 0.8806727499 1.2882254474 -0.4090274725 1.1427692614 [61] -2.9702562292 -1.9592528990 2.7084124587 -0.3047179373 2.1794252901 [66] 0.6798171661 1.3670114147 -2.7815813559 -0.4127503591 0.5287706288 [71] -0.2113078185 -1.8410632804 -0.2050958027 -0.7389340421 -1.6196992455 [76] -0.6948835475 -0.1853327465 1.1778876402 -0.0188649430 -1.2905389576 [81] -1.3265189097 2.6312073123 1.4766997326 0.9409669767 0.8466860642 [86] -0.9506073945 0.9045285758 0.4714661802 -0.5294816614 -0.0032716505 [91] -1.4006298856 -1.6944258694 -0.6941622363 0.4511417994 1.3155376293 [96] 0.3954139774 -0.5745629559 0.4202747463 1.4712785656 -1.0483255491 [101] 0.6071598218 1.2222787982 0.6441246768 -0.3484995368 0.9491151379 [106] 0.4772331814 -0.4077078213 0.9181215089 -0.8717813935 0.1634234554 [111] 1.2974840309 -0.8979569574 0.0786894675 -1.3035272121 -1.1583354155 [116] -1.0453703501 -0.1030501285 1.0189958667 -1.6019847417 0.3410726150 [121] 0.4656892337 0.1435641378 0.0787181989 -0.4555635469 1.1983215124 [126] 1.0892028645 -0.8079486271 -1.4331329220 -1.6441178250 0.9434017638 [131] -1.9881732471 -1.1386484968 -1.6105954453 0.6461731472 1.0612533227 [136] 1.2381318014 0.6097511408 -0.5327936756 1.9691793995 -0.3386924178 [141] -1.1590305934 1.1436653381 0.5275743169 0.5272407258 -0.9740842688 [146] -0.3361462251 -0.3217862904 1.1638971449 0.3914815261 0.2470778669 [151] 1.2116305251 -0.3877987431 -0.4102031073 0.8960136803 -1.1482810225 [156] -0.5884855680 1.1423107734 -1.6787509345 -2.3223025124 0.9439930416 [161] -1.0977784452 0.9550987561 0.0048904242 1.1073534280 -0.5045572133 [166] -0.3644011601 -0.9773397632 0.9058807452 -1.4606877026 0.0750830146 [171] -1.1351770653 0.3308195948 -0.0810900130 0.6822100971 0.1390922892 [176] 0.7301239804 -0.5510957286 -1.1637896771 -0.3320889735 0.7536099406 [181] -0.3148471768 1.1302998646 -0.2430409669 1.0291935143 -0.3791219700 [186] 0.1497814807 -1.3192073427 -1.1295875063 -1.2816982305 -0.2633831002 [191] 0.3732160338 -0.5950026335 -0.7612236902 1.1812526568 -0.2271258369 [196] -0.2191097120 -0.5291576627 0.5033939773 1.5293550671 -0.0318335068 [201] 0.5409906204 0.2371689899 1.2406707784 -0.0065849547 -0.1677204181 [206] 0.4739389638 0.5722253177 0.8494093897 0.0433432949 -1.0592073491 [211] -1.5863042890 -0.0502511633 -0.4592184683 -1.5106741331 -0.6534452360 [216] 1.9703234185 -0.3344765450 0.3348146490 -0.0130494688 -0.3098824790 [221] 0.7278867119 -0.9876025930 -0.7386621226 0.3811480020 -1.1201680906 [226] 0.7364334791 -1.4258369017 -0.1991339103 0.9374225782 -0.4369001305 [231] -0.2116158334 -1.4588953463 -1.3156798316 0.4404423497 1.0169934852 [236] 0.6219073554 1.1109394296 -0.1214772655 0.0906001072 -2.1654456762 [241] -0.5252059910 -0.1677617841 0.8882112705 -1.3851024696 0.5237015601 [246] 0.5083086845 -1.3914068355 0.3068218269 0.3151910147 0.5779964972 [251] 0.2664481828 0.4131533505 0.0684009413 0.4500367522 -0.1183742445 [256] 0.8527019773 0.1445506176 -0.9570770454 0.0864676532 0.6462077196 [261] 0.0451826912 0.4892191745 -1.5855796969 0.4759464637 -0.1603223953 [266] -1.6277477163 -0.6235582117 -0.5004872877 -1.0092035098 0.3736100954 [271] -1.3463428233 0.0668547625 -1.2569031105 -0.3489704543 0.3042171722 [276] -0.0036082466 -0.7240791275 0.4666859585 0.4071634341 -0.9330426667 [281] -2.5306805348 -0.6255270806 1.0837753742 -0.3753899805 -0.0275282041 [286] -0.4147809471 -0.1926691059 0.1758734164 1.6600848264 -1.2241560762 [291] 0.9150920284 -0.0835727969 -1.0528382942 -0.9168077348 -1.3151568486 [296] 0.3896892564 -0.4617814802 -0.0327076142 0.3150466720 -0.2448327478 [301] 0.6890902450 1.4464892386 -1.5357366122 1.1788318991 0.5338783229 [306] 0.7895056116 -0.4790384324 -0.1090892507 0.1369095840 -0.9742217912 [311] -0.2342879633 -1.6047358903 0.7334004394 0.3515145654 0.6567514729 [316] 0.6293362349 0.4048545509 0.0035063939 0.9195236029 0.2576927102 [321] -0.0465062642 -1.0785728814 -1.1231182315 1.3029543837 1.3619603258 [326] -0.3988806895 0.6826275835 -1.0912117930 -0.7855693343 -1.5656673980 [331] 1.6942833764 -0.7844789255 -0.5612392150 0.8808034028 0.2613991185 [336] -0.5014600940 -0.4011590904 0.2020607837 0.8550991152 -0.7651391493 [341] -0.9502096044 -1.0623584133 -2.8507659063 -1.3063357121 2.6210544987 [346] -2.9015091734 0.3502479882 -0.9455817454 -1.2591601777 -1.2079415314 [351] 1.1217911299 -2.6044106296 -0.5069220002 0.0954139150 -0.4135167982 [356] -1.6510710778 1.3371693424 -0.5104464854 1.8900279896 -0.4090145896 [361] -1.5251680938 1.2214803513 1.1313935872 -1.7442192514 -1.6250382695 [366] -0.3033067178 0.3338018467 -0.1665614879 1.0548607977 1.0630826340 [371] -0.3998009088 0.0807123292 0.5873283965 -0.6935704891 0.7909181128 [376] -1.5400690449 -0.5295894831 -1.0335973991 0.2982998156 0.1794824512 [381] -1.4784660099 0.1514694895 -0.5940413655 1.4332626800 -0.0005102774 [386] 0.6201159882 -1.0131936763 1.5960950310 0.2640685545 -0.4654338346 [391] -0.1740434065 1.0535598808 0.4830166334 -0.5264386513 0.2116064757 [396] -0.9633113406 -0.2447715252 -0.0010406518 0.7284023589 -0.1878080957 [401] 1.4271759501 -0.0667814912 -0.3560145678 -0.9072582161 0.5094241250 [406] 0.3709975389 -0.7475909650 0.5869825635 -0.4818694408 0.2476825264 [411] -0.0489355970 -2.4998091262 -0.9365763052 0.2002077882 -0.2833060835 [416] 0.2927827873 0.0069183829 -0.1303216265 -1.1226801857 -0.2996884304 [421] -1.5810118695 0.0260408570 0.5217218050 0.4622362352 -0.2079369497 [426] -0.2452441708 0.1672473879 0.1903359058 0.4447543613 -0.0048838255 [431] -1.1660915202 -0.6181928273 0.0033927882 0.2832971111 0.6818903836 [436] -0.3938298608 3.1440270971 0.7114228327 -0.0012109583 0.0327172167 [441] 0.1573014799 0.6611685872 -0.5956425738 0.5580301891 0.2271182508 [446] -0.0769337946 0.2669246181 -0.1889346222 0.4472536833 -0.1805049447 [451] 0.7715947826 -0.1117247018 0.0577864535 -0.7989081234 -0.0184031753 [456] -0.5786484651 0.4788973648 0.1247604958 -0.1721348969 -1.1305689778 [461] 0.3138326419 -0.7472875305 0.8555788438 -0.4423391851 -0.0181510752 [466] 0.0894228269 -0.5392090057 -0.2210167077 -0.6365936632 0.0166466355 [471] 1.2209223998 0.1643514908 1.2133672069 -0.6698797784 -1.3398328922 [476] -0.2056230681 0.6281524161 -0.6364424322 -0.2037368173 0.5681688129 [481] 0.0856454670 -0.8548922204 0.9931968973 0.2720349387 -0.1436372458 [486] -1.0780436186 -1.2864090865 0.0181808252 -0.4059260934 -0.2022809061 [491] -1.3012494165 > mylevel <- as.numeric(m$fitted[,'level']) > myslope <- as.numeric(m$fitted[,'slope']) > myseas <- as.numeric(m$fitted[,'sea']) > myresid <- as.numeric(m$resid) > myfit <- mylevel+myseas > mylagmax <- nx/2 > postscript(file="/var/www/html/rcomp/tmp/1oikz1292616939.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > acf(as.numeric(x),lag.max = mylagmax,main='Observed') > acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level') > acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal') > acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2oikz1292616939.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(mylevel,main='Level') > spectrum(myseas,main='Seasonal') > spectrum(myresid,main='Standardized Residals') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3grjk1292616939.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(mylevel,main='Level') > cpgram(myseas,main='Seasonal') > cpgram(myresid,main='Standardized Residals') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/49i0n1292616939.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/59i0n1292616939.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > hist(m$resid,main='Residual Histogram') > plot(density(m$resid),main='Residual Kernel Density') > qqnorm(m$resid,main='Residual Normal QQ Plot') > qqline(m$resid) > plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit') > par(op) > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Structural Time Series Model',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'t',header=TRUE) > a<-table.element(a,'Observed',header=TRUE) > a<-table.element(a,'Level',header=TRUE) > a<-table.element(a,'Slope',header=TRUE) > a<-table.element(a,'Seasonal',header=TRUE) > a<-table.element(a,'Stand. Residuals',header=TRUE) > a<-table.row.end(a) > for (i in 1:nx) { + a<-table.row.start(a) + a<-table.element(a,i,header=TRUE) + a<-table.element(a,x[i]) + a<-table.element(a,mylevel[i]) + a<-table.element(a,myslope[i]) + a<-table.element(a,myseas[i]) + a<-table.element(a,myresid[i]) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/65syw1292616939.tab") > > try(system("convert tmp/1oikz1292616939.ps tmp/1oikz1292616939.png",intern=TRUE)) character(0) > try(system("convert tmp/2oikz1292616939.ps tmp/2oikz1292616939.png",intern=TRUE)) character(0) > try(system("convert tmp/3grjk1292616939.ps tmp/3grjk1292616939.png",intern=TRUE)) character(0) > try(system("convert tmp/49i0n1292616939.ps tmp/49i0n1292616939.png",intern=TRUE)) character(0) > try(system("convert tmp/59i0n1292616939.ps tmp/59i0n1292616939.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 7.861 1.449 16.475