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(1.3866 + ,1.3582 + ,1.3332 + ,1.3595 + ,1.3617 + ,1.3684 + ,1.3394 + ,1.3262 + ,1.3173 + ,1.3085 + ,1.327 + ,1.3182 + ,1.293 + ,1.291 + ,1.2984 + ,1.2795 + ,1.299 + ,1.3174 + ,1.326 + ,1.3111 + ,1.2816 + ,1.276 + ,1.2849 + ,1.2818 + ,1.2829 + ,1.2796 + ,1.3008 + ,1.2967 + ,1.2938 + ,1.2833 + ,1.2823 + ,1.2765 + ,1.2634 + ,1.2596 + ,1.2705 + ,1.2591 + ,1.2798 + ,1.2763 + ,1.2795 + ,1.2782 + ,1.2644 + ,1.2596 + ,1.2615 + ,1.2555 + ,1.2555 + ,1.2658 + ,1.2565 + ,1.2783 + ,1.2786 + ,1.2782 + ,1.2905 + ,1.3042 + ,1.2942 + ,1.313 + ,1.3671 + ,1.3549 + ,1.3558 + ,1.3507 + ,1.3494 + ,1.3607 + ,1.3295 + ,1.3193 + ,1.3308 + ,1.3246 + ,1.3392 + ,1.3425 + ,1.3496 + ,1.3255 + ,1.3231 + ,1.3273 + ,1.3276 + ,1.3173 + ,1.3196 + ,1.3058 + ,1.2966 + ,1.2932 + ,1.2947 + ,1.305 + ,1.3232 + ,1.3125 + ,1.2992 + ,1.3266 + ,1.3275 + ,1.3223 + ,1.3403 + ,1.3322 + ,1.3363 + ,1.3425 + ,1.3574 + ,1.3683 + ,1.3623 + ,1.3563 + ,1.3518 + ,1.3494 + ,1.3612 + ,1.369 + ,1.3771 + ,1.3972 + 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,1.3069 + ,1.3028 + ,1.3073 + ,1.3221 + ,1.3206 + ,1.3184 + ,1.3176 + ,1.3253 + ,1.3133 + ,1.3016 + ,1.279 + ,1.2799 + ,1.282 + ,1.286 + ,1.288 + ,1.2836 + ,1.2711 + ,1.2704 + ,1.2611 + ,1.2613 + ,1.2693 + ,1.2713 + ,1.27 + ,1.268 + ,1.28 + ,1.2818 + ,1.2834 + ,1.2874 + ,1.2744 + ,1.2697 + ,1.2715 + ,1.2725 + ,1.2801 + ,1.285 + ,1.2989 + ,1.3078 + ,1.306 + ,1.3074 + ,1.312 + ,1.3364 + ,1.3323 + ,1.3412 + ,1.3477 + ,1.346 + ,1.3611 + ,1.3648 + ,1.3726 + ,1.3705 + ,1.378 + ,1.3856 + ,1.397 + ,1.3874 + ,1.3936 + ,1.3833 + ,1.3958 + ,1.4101 + ,1.4089 + ,1.3896 + ,1.3859 + ,1.3861 + ,1.4016 + ,1.3934 + ,1.4031 + ,1.3912 + ,1.3803 + ,1.3857 + ,1.3857 + ,1.3926 + ,1.4018 + ,1.4014 + ,1.4244 + ,1.4084 + ,1.3917 + ,1.3945 + ,1.377 + ,1.37 + ,1.3711 + ,1.3626 + ,1.3612 + ,1.3481 + ,1.3647 + ,1.3674 + ,1.3647 + ,1.3496 + ,1.3339 + ,1.3321 + ,1.3225 + ,1.3146 + ,1.2998) > par1 = '5' > par1 <- 5 > nx <- length(x) > x <- ts(x,frequency=par1) > m <- StructTS(x,type='BSM') > m$coef level slope seas epsilon 1.045256e-04 0.000000e+00 0.000000e+00 3.023764e-07 > m$fitted Time Series: Start = c(1, 1) End = c(99, 1) Frequency = 5 level slope sea 1.0 1.386600 0.000000e+00 0.000000e+00 1.2 1.362470 -4.262051e-03 -4.262051e-03 1.4 1.338035 -4.777066e-03 -4.777066e-03 1.6 1.363449 -4.036059e-03 -4.036059e-03 1.8 1.365571 -3.888547e-03 -3.888547e-03 2.0 1.355260 -3.289550e-03 1.315820e-02 2.2 1.343292 -3.875672e-03 -3.875672e-03 2.4 1.330201 -3.974791e-03 -3.974791e-03 2.6 1.321340 -4.026060e-03 -4.026060e-03 2.8 1.312589 -4.075121e-03 -4.075121e-03 3.0 1.310387 -4.151864e-03 1.660745e-02 3.2 1.321672 -3.507203e-03 -3.507203e-03 3.4 1.296715 -3.653345e-03 -3.653345e-03 3.6 1.294638 -3.642827e-03 -3.642827e-03 3.8 1.301939 -3.570300e-03 -3.570300e-03 4.0 1.268446 -2.785035e-03 1.114014e-02 4.2 1.300642 -1.727707e-03 -1.727707e-03 4.4 1.318970 -1.627716e-03 -1.627716e-03 4.6 1.327548 -1.577795e-03 -1.577795e-03 4.8 1.312780 -1.641996e-03 -1.641996e-03 5.0 1.277710 -9.966219e-04 3.986488e-03 5.2 1.276989 -9.900837e-04 -9.900837e-04 5.4 1.285823 -9.514641e-04 -9.514641e-04 5.6 1.282766 -9.595949e-04 -9.595949e-04 5.8 1.283846 -9.517503e-04 -9.517503e-04 6.0 1.276220 -8.498357e-04 3.399343e-03 6.2 1.301082 -3.492264e-04 -3.492264e-04 6.4 1.297072 -3.611072e-04 -3.611072e-04 6.6 1.294176 -3.691882e-04 -3.691882e-04 6.8 1.283730 -4.012199e-04 -4.012199e-04 7.0 1.280829 -3.696410e-04 1.478564e-03 7.2 1.276937 -4.278526e-04 -4.278526e-04 7.4 1.263899 -4.626899e-04 -4.626899e-04 7.6 1.260081 -4.718027e-04 -4.718027e-04 7.8 1.270909 -4.411961e-04 -4.411961e-04 8.0 1.257912 -3.060073e-04 1.224029e-03 8.2 1.279729 1.167092e-05 1.167092e-05 8.4 1.276306 3.411048e-06 3.411048e-06 8.6 1.279480 1.091022e-05 1.091022e-05 8.8 1.278196 7.854131e-06 7.854131e-06 9.0 1.264966 1.320735e-04 -5.282939e-04 9.2 1.259553 6.168272e-05 6.168272e-05 9.4 1.261429 6.554627e-05 6.554627e-05 9.6 1.255464 5.291176e-05 5.291176e-05 9.8 1.255447 5.276550e-05 5.276550e-05 10.0 1.265644 -3.158981e-05 1.263592e-04 10.2 1.256658 -1.334471e-04 -1.334471e-04 10.4 1.278329 -9.178599e-05 -9.178599e-05 10.6 1.278690 -9.093515e-05 -9.093515e-05 10.8 1.278292 -9.150996e-05 -9.150996e-05 11.0 1.289756 -1.777730e-04 7.110922e-04 11.2 1.304187 -2.724641e-05 -2.724641e-05 11.4 1.294273 -4.437649e-05 -4.437649e-05 11.6 1.312958 -1.243725e-05 -1.243725e-05 11.8 1.366865 7.934834e-05 7.934834e-05 12.0 1.355559 1.564673e-04 -6.258691e-04 12.2 1.355644 1.558007e-04 1.558007e-04 12.4 1.350568 1.475079e-04 1.475079e-04 12.6 1.349259 1.452362e-04 1.452362e-04 12.8 1.360505 1.625274e-04 1.625274e-04 13.0 1.330972 3.465961e-04 -1.386385e-03 13.2 1.319093 2.405947e-04 2.405947e-04 13.4 1.330511 2.569168e-04 2.569168e-04 13.6 1.324371 2.477198e-04 2.477198e-04 13.8 1.338891 2.682085e-04 2.682085e-04 14.0 1.343462 2.436217e-04 -9.744870e-04 14.2 1.349296 2.885338e-04 2.885338e-04 14.4 1.325314 2.556733e-04 2.556733e-04 14.6 1.322856 2.520549e-04 2.520549e-04 14.8 1.327031 2.572783e-04 2.572783e-04 15.0 1.328598 2.503423e-04 -1.001369e-03 15.2 1.317169 1.629359e-04 1.629359e-04 15.4 1.319428 1.655810e-04 1.655810e-04 15.6 1.305692 1.483047e-04 1.483047e-04 15.8 1.296490 1.367005e-04 1.367005e-04 16.0 1.293811 1.506150e-04 -6.024602e-04 16.2 1.294544 1.546955e-04 1.546955e-04 16.4 1.304804 1.666383e-04 1.666383e-04 16.6 1.322961 1.875745e-04 1.875745e-04 16.8 1.312356 1.750300e-04 1.750300e-04 17.0 1.300165 2.322561e-04 -9.290244e-04 17.2 1.326127 4.016543e-04 4.016543e-04 17.4 1.327096 4.022852e-04 4.022852e-04 17.6 1.321920 3.961808e-04 3.961808e-04 17.8 1.339834 4.153289e-04 4.153289e-04 18.0 1.333988 4.425760e-04 -1.770304e-03 18.2 1.335845 4.513556e-04 4.513556e-04 18.4 1.342026 4.573633e-04 4.573633e-04 18.6 1.356886 4.722361e-04 4.722361e-04 18.8 1.367787 4.829933e-04 4.829933e-04 19.0 1.364308 4.992633e-04 -1.997053e-03 19.2 1.355878 4.467879e-04 4.467879e-04 19.4 1.351372 4.418726e-04 4.418726e-04 19.6 1.348969 4.390913e-04 4.390913e-04 19.8 1.360717 4.501352e-04 4.501352e-04 20.0 1.370626 4.133555e-04 -1.653422e-03 20.2 1.376640 4.445884e-04 4.445884e-04 20.4 1.396680 4.630511e-04 4.630511e-04 20.6 1.400524 4.661885e-04 4.661885e-04 20.8 1.390374 4.563459e-04 4.563459e-04 21.0 1.391906 4.523743e-04 -1.809497e-03 21.2 1.385206 4.144155e-04 4.144155e-04 21.4 1.409296 4.356459e-04 4.356459e-04 21.6 1.421520 4.460586e-04 4.460586e-04 21.8 1.423349 4.472789e-04 4.472789e-04 22.0 1.422511 4.517951e-04 -1.807180e-03 22.2 1.409157 3.819215e-04 3.819215e-04 22.4 1.417289 3.885514e-04 3.885514e-04 22.6 1.386328 3.621335e-04 3.621335e-04 22.8 1.395505 3.695549e-04 3.695549e-04 23.0 1.411425 3.174164e-04 -1.269666e-03 23.2 1.396698 2.446395e-04 2.446395e-04 23.4 1.400144 2.472574e-04 2.472574e-04 23.6 1.384810 2.347050e-04 2.347050e-04 23.8 1.388752 2.376888e-04 2.376888e-04 24.0 1.385013 2.504351e-04 -1.001740e-03 24.2 1.391702 2.802598e-04 2.802598e-04 24.4 1.392916 2.809918e-04 2.809918e-04 24.6 1.385547 2.750879e-04 2.750879e-04 24.8 1.397482 2.840790e-04 2.840790e-04 25.0 1.403943 2.651120e-04 -1.060448e-03 25.2 1.393810 2.189014e-04 2.189014e-04 25.4 1.409325 2.303989e-04 2.303989e-04 25.6 1.405584 2.274575e-04 2.274575e-04 25.8 1.413146 2.328848e-04 2.328848e-04 26.0 1.410573 2.411545e-04 -9.646182e-04 26.2 1.404702 2.150516e-04 2.150516e-04 26.4 1.400700 2.120050e-04 2.120050e-04 26.6 1.389529 2.039028e-04 2.039028e-04 26.8 1.401653 2.123810e-04 2.123810e-04 27.0 1.391103 2.428700e-04 -9.714799e-04 27.2 1.398706 2.731265e-04 2.731265e-04 27.4 1.389860 2.667845e-04 2.667845e-04 27.6 1.397208 2.716366e-04 2.716366e-04 27.8 1.398824 2.725568e-04 2.725568e-04 28.0 1.409842 2.432530e-04 -9.730121e-04 28.2 1.412739 2.537653e-04 2.537653e-04 28.4 1.408761 2.509290e-04 2.509290e-04 28.6 1.421405 2.591141e-04 2.591141e-04 28.8 1.422040 2.593618e-04 2.593618e-04 29.0 1.420166 2.649688e-04 -1.059875e-03 29.2 1.422620 2.733398e-04 2.733398e-04 29.4 1.422428 2.730387e-04 2.730387e-04 29.6 1.426613 2.755324e-04 2.755324e-04 29.8 1.422639 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1.431071 3.176112e-04 3.176112e-04 35.0 1.423363 3.349627e-04 -1.339851e-03 35.2 1.433109 3.647067e-04 3.647067e-04 35.4 1.425861 3.606326e-04 3.606326e-04 35.6 1.432618 3.640058e-04 3.640058e-04 35.8 1.446889 3.713363e-04 3.713363e-04 36.0 1.453614 3.579948e-04 -1.431979e-03 36.2 1.454141 3.585151e-04 3.585151e-04 36.4 1.459026 3.608700e-04 3.608700e-04 36.6 1.455751 3.590062e-04 3.590062e-04 36.8 1.460725 3.613707e-04 3.613707e-04 37.0 1.468464 3.463130e-04 -1.385252e-03 37.2 1.470842 3.523834e-04 3.523834e-04 37.4 1.470151 3.518556e-04 3.518556e-04 37.6 1.465465 3.493432e-04 3.493432e-04 37.8 1.477611 3.552228e-04 3.552228e-04 38.0 1.479702 3.517756e-04 -1.407102e-03 38.2 1.476469 3.413480e-04 3.413480e-04 38.4 1.466693 3.363636e-04 3.363636e-04 38.6 1.464672 3.352190e-04 3.352190e-04 38.8 1.454600 3.301692e-04 3.301692e-04 39.0 1.465508 3.097207e-04 -1.238883e-03 39.2 1.453659 2.752708e-04 2.752708e-04 39.4 1.453426 2.750270e-04 2.750270e-04 39.6 1.461299 2.786205e-04 2.786205e-04 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2.619901e-04 2.619901e-04 89.4 1.332051 2.610929e-04 2.610929e-04 89.6 1.340912 2.628688e-04 2.628688e-04 89.8 1.347418 2.641575e-04 2.641575e-04 90.0 1.347060 2.646688e-04 -1.058675e-03 90.2 1.360780 2.810972e-04 2.810972e-04 90.4 1.364508 2.818112e-04 2.818112e-04 90.6 1.372295 2.833437e-04 2.833437e-04 90.8 1.370224 2.828631e-04 2.828631e-04 91.0 1.379079 2.758899e-04 -1.103560e-03 91.2 1.385300 2.830687e-04 2.830687e-04 91.4 1.396683 2.853426e-04 2.853426e-04 91.6 1.387145 2.833589e-04 2.833589e-04 91.8 1.393299 2.845441e-04 2.845441e-04 92.0 1.384494 2.918567e-04 -1.167427e-03 92.2 1.395465 3.046111e-04 3.046111e-04 92.4 1.409752 3.074445e-04 3.074445e-04 92.6 1.408597 3.071524e-04 3.071524e-04 92.8 1.389353 3.032481e-04 3.032481e-04 93.0 1.387128 3.052598e-04 -1.221039e-03 93.2 1.385801 3.033314e-04 3.033314e-04 93.4 1.401250 3.063673e-04 3.063673e-04 93.6 1.393120 3.047003e-04 3.047003e-04 93.8 1.402767 3.065457e-04 3.065457e-04 94.0 1.392490 3.148764e-04 -1.259506e-03 94.2 1.380037 2.999528e-04 2.999528e-04 94.4 1.385384 3.009539e-04 3.009539e-04 94.6 1.385400 3.008981e-04 3.008981e-04 94.8 1.392279 3.021836e-04 3.021836e-04 95.0 1.402947 2.941112e-04 -1.176445e-03 95.2 1.401114 2.916523e-04 2.916523e-04 95.4 1.424039 2.960931e-04 2.960931e-04 95.6 1.408154 2.929634e-04 2.929634e-04 95.8 1.391459 2.896785e-04 2.896785e-04 96.0 1.395636 2.866837e-04 -1.146735e-03 96.2 1.376790 2.647897e-04 2.647897e-04 96.4 1.369758 2.633728e-04 2.633728e-04 96.6 1.370834 2.635285e-04 2.635285e-04 96.8 1.362363 2.618571e-04 2.618571e-04 97.0 1.362250 2.621435e-04 -1.048574e-03 97.2 1.347896 2.455912e-04 2.455912e-04 97.4 1.364404 2.487162e-04 2.487162e-04 97.6 1.367144 2.491879e-04 2.491879e-04 97.8 1.364460 2.486325e-04 2.486325e-04 98.0 1.350677 2.592210e-04 -1.036884e-03 98.2 1.333710 2.399109e-04 2.399109e-04 98.4 1.331866 2.395148e-04 2.395148e-04 98.6 1.322291 2.376745e-04 2.376745e-04 98.8 1.314387 2.361486e-04 2.361486e-04 99.0 1.300826 2.464546e-04 -9.858182e-04 > m$resid Time Series: Start = c(1, 1) End = c(99, 1) Frequency = 5 [1] 0.000000000 -0.877795403 -1.997659295 2.988810008 0.609438274 [6] -0.735854802 -0.713797253 -0.906089618 -0.480433208 -0.464571032 [11] 0.197665472 1.370721895 -2.104996542 0.154701684 1.073896517 [16] -3.076211915 3.199524916 1.966444297 1.000705368 -1.293298542 [21] -3.393291222 0.025650107 0.962729794 -0.206384933 0.199895617 [26] -0.672412847 2.412444677 -0.358691771 -0.248252420 -0.987202238 [31] -0.250657681 -0.332637033 -1.235093127 -0.328588998 1.106649177 [36] -1.254153817 2.099586138 -0.336305001 0.310429923 -0.126811588 [41] -1.318777975 -0.528198340 0.177637911 -0.590443531 -0.006849797 [46] 1.008546716 -0.855426224 2.134723094 0.044303232 -0.029987634 [51] 1.146894261 1.398790867 -0.967892811 1.833546083 5.278359365 [56] -1.128608575 -0.006790265 -0.512205197 -0.142536199 1.086667445 [61] -2.940307436 -1.174617059 1.094028176 -0.626148174 1.396974505 [66] 0.425677827 0.537835025 -2.375471122 -0.265658253 0.384023590 [71] 0.129373071 -1.124870192 0.205133604 -1.360626960 -0.915082636 [76] -0.278177054 0.056161443 0.989036132 1.760610816 -1.056189463 [81] -1.220695758 2.482966913 0.055573020 -0.545931962 1.714392752 [86] -0.617702159 0.136536803 0.560752058 1.409473407 1.020544484 [91] -0.390636253 -0.862992127 -0.484654350 -0.278424781 1.106687691 [96] 0.932324730 0.541568436 1.917606040 0.330811675 -1.038839837 [101] 0.105995030 -0.692128210 2.316793350 1.153527573 0.135306432 [106] -0.126578086 -1.336516801 0.758381625 -3.067602800 0.862526837 [111] 1.531131531 -1.457110581 0.313234812 -1.524560944 0.362699692 [116] -0.391387301 0.623800701 0.091435176 -0.748574717 1.140937529 [121] 0.607799365 -1.007831491 1.496686455 -0.388637368 0.717660502 [126] -0.276080688 -0.592626853 -0.412625181 -1.113801810 1.166361114 [131] -1.058685796 0.713975222 -0.892311210 0.692898902 0.131502404 [136] 1.056773622 0.257460880 -0.413996873 1.212565991 0.036720916 [141] -0.209712214 0.212500650 -0.045545637 0.382743229 -0.415759356 [146] -1.108294526 -0.669485601 0.799932195 1.583643114 0.765924868 [151] 0.369400003 -0.550848433 -0.154288196 -1.537585178 -0.380388167 [156] 0.136262608 1.042548499 -0.015323556 -2.192614907 0.249682036 [161] 0.214706330 1.108431907 0.821265112 -0.096512085 -0.021094405 [166] -0.402682228 -0.207348646 0.904666461 -0.925696738 0.376088647 [171] -0.788403942 0.914595364 -0.744730278 0.625724464 1.360616904 [176] 0.624068599 0.016462450 0.442860682 -0.355679705 0.451497279 [181] 0.724514536 0.197512115 -0.102049655 -0.492877549 1.154088581 [186] 0.170483713 -0.348599830 -0.989831367 -0.230655609 -1.018162188 [191] 1.038665378 -1.182474041 -0.049713275 0.743344174 1.008542336 [196] -0.158991620 0.500652871 -0.154657084 0.116562398 0.936351079 [201] 0.286425816 -0.337572256 0.019486834 0.449532133 0.489570232 [206] -0.369962536 0.588372968 0.165752110 -0.040290373 -1.444987746 [211] -0.748077324 -0.161669872 0.085299145 -0.304066763 -1.143633835 [216] 1.120165032 0.857897571 -0.077230774 1.158501378 -0.203562354 [221] 0.814364601 -1.289421710 -0.557004446 0.917702346 -0.901868369 [226] 0.900448907 -1.057135919 -0.493615114 1.468139527 -0.008964196 [231] 1.199756142 -0.238122764 -1.513057378 0.999642126 0.479917527 [236] 0.238499439 0.171589003 -0.527039237 -2.761849276 -0.153918092 [241] 0.017616574 -0.482083540 0.243862180 -1.090059680 -1.054481896 [246] 0.250860278 -2.202822748 -0.076891989 0.290002271 -0.879192753 [251] 0.015565911 1.111718113 0.057203534 0.258946919 -0.939967598 [256] 0.714493502 -0.240147300 0.503652343 -0.908324407 -0.463505385 [261] -0.254265215 2.396112978 -0.468977826 0.780905704 -0.766227266 [266] -1.022281723 -0.163297149 -0.896512043 -1.454143992 -0.684898238 [271] 0.758032619 0.059622363 -0.659906304 -0.144931939 -0.728484464 [276] -0.259342649 -0.611965375 0.217168425 0.443753116 -1.349996245 [281] -1.461970494 -0.259509482 0.811833382 -0.209250411 -0.231621811 [286] -1.355464394 0.227262270 0.391628524 0.733281358 -1.567308961 [291] -0.397869454 0.923575659 -0.495846168 -0.314480960 -0.586902879 [296] 0.867096492 -0.548347520 0.204562716 0.889261296 0.247359493 [301] -0.761928001 0.657533797 -1.042701131 0.493473680 0.439233237 [306] 1.134442036 -0.693940018 0.155491577 0.304150867 -0.953460830 [311] -1.021043105 -0.864025866 0.448006310 -1.781472881 0.153196910 [316] 0.040112605 1.042325758 0.091248609 -0.048019540 -0.126418948 [321] -0.625234172 -0.662744033 -0.449531995 0.838411136 1.943810043 [326] 0.062845189 0.196362402 -0.711281004 -0.109089337 -1.023980892 [331] 0.598263794 -1.204270034 -0.351326421 -0.290284285 0.080533459 [336] -0.236904863 -0.535544750 0.090173993 0.560021901 -0.765005467 [341] -1.390281908 -1.707200673 -1.940260126 0.165927807 2.161284991 [346] -2.573822960 -0.226044892 -0.982819651 -0.945734436 -1.413462218 [351] 0.828216697 -1.621160934 0.606964094 1.578614347 -1.344517646 [356] -1.286484697 0.747363090 -0.539638536 1.241377010 -0.762677317 [361] -1.421088321 0.508405354 0.471668821 -2.044503538 -1.007786852 [366] -0.101580415 0.559433967 0.325253031 0.782839622 1.174032703 [371] 0.163744414 0.077034937 0.820694144 0.071744684 0.167091493 [376] -1.220526004 0.005491561 -0.107384064 0.292141572 0.419993520 [381] -1.292357281 0.579646761 0.535665668 2.124966287 -0.182152269 [386] 0.556330050 -0.245884622 0.884648903 -0.243524548 -0.656288796 [391] 0.055019525 1.173065606 1.199191901 1.657339680 -0.438376397 [396] -1.006636882 -0.412374027 0.296556829 0.435048918 0.308573200 [401] 1.090963523 -0.534489279 0.726768828 -0.420497127 0.414961001 [406] 1.532920846 -0.269101206 -0.236330339 -0.099659736 0.729666854 [411] -1.081904327 -1.271573431 -2.227950945 0.061475750 0.185068550 [416] 0.469592627 0.078924152 -0.448487261 -1.239810997 -0.091089090 [421] -0.828880767 -0.102248757 0.760032025 0.177230487 -0.146297520 [426] -0.115272341 1.045412189 0.157094816 0.135014148 0.368968663 [431] -1.178516023 -0.594983994 0.152006568 0.076100656 0.719495768 [436] 0.567119030 1.223407790 0.848352615 -0.196350805 0.112749019 [441] 0.541024963 2.236252935 -0.418971727 0.841260004 0.610663196 [446] -0.060891836 1.312841631 0.337172104 0.734142969 -0.230312431 [451] 0.839802056 0.580093547 1.085782922 -0.960896872 0.574228001 [456] -0.890473849 1.042046857 1.367814871 -0.143072885 -1.912504238 [461] -0.247665437 -0.159272863 1.481522562 -0.825282897 0.913858969 [466] -1.036763078 -1.245946738 0.493786344 -0.027929173 0.643466591 [471] 1.015438775 -0.207484348 2.213927999 -1.582836219 -1.661713621 [476] 0.380729807 -1.867036730 -0.713815634 0.079535662 -0.854395620 [481] -0.036787617 -1.426306451 1.590800417 0.243625467 -0.286906200 [486] -1.374464844 -1.681209082 -0.203752017 -0.960142921 -0.796353332 [491] -1.351596358 > mylevel <- as.numeric(m$fitted[,'level']) > myslope <- as.numeric(m$fitted[,'slope']) > myseas <- as.numeric(m$fitted[,'sea']) > myresid <- as.numeric(m$resid) > myfit <- mylevel+myseas > mylagmax <- nx/2 > postscript(file="/var/www/html/rcomp/tmp/1ylbq1293328137.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > acf(as.numeric(x),lag.max = mylagmax,main='Observed') > acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level') > acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal') > acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2ylbq1293328137.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(mylevel,main='Level') > spectrum(myseas,main='Seasonal') > spectrum(myresid,main='Standardized Residals') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/39uab1293328137.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(mylevel,main='Level') > cpgram(myseas,main='Seasonal') > cpgram(myresid,main='Standardized Residals') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4j3re1293328137.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5j3re1293328137.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/6gd741293328137.tab") > > try(system("convert tmp/1ylbq1293328137.ps tmp/1ylbq1293328137.png",intern=TRUE)) character(0) > try(system("convert tmp/2ylbq1293328137.ps tmp/2ylbq1293328137.png",intern=TRUE)) character(0) > try(system("convert tmp/39uab1293328137.ps tmp/39uab1293328137.png",intern=TRUE)) character(0) > try(system("convert tmp/4j3re1293328137.ps tmp/4j3re1293328137.png",intern=TRUE)) character(0) > try(system("convert tmp/5j3re1293328137.ps tmp/5j3re1293328137.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 7.938 1.244 18.744