Klassieke decompositie eigen reeks Toon Maes

*Unverified author*

R Software Module: /rwasp_decompose.wasp (opens new window with default values)

Title produced by software: Classical Decomposition

Date of computation: Mon, 07 Jun 2010 07:00:57 +0000

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v.htm/, Retrieved Mon, 07 Jun 2010 09:01:30 +0200

BibTeX entries for LaTeX users:

@Manual{KEY, author = {{YOUR NAME}}, publisher = {Office for Research Development and Education}, title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v.htm/}, year = {2010}, } @Manual{R, title = {R: A Language and Environment for Statistical Computing}, author = {{R Development Core Team}}, organization = {R Foundation for Statistical Computing}, address = {Vienna, Austria}, year = {2010}, note = {{ISBN} 3-900051-07-0}, url = {http://www.R-project.org}, }

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

Dataseries X:

» Textbox « » Textfile « » CSV «

93.2 96 95.2 77.1 70.9 64.8 70.1 77.3 79.5 100.6 100.7 107.1 95.9 82.8 83.3 80 80.4 67.5 75.7 71.1 89.3 101.1 105.2 114.1 96.3 84.4 91.2 81.9 80.5 70.4 74.8 75.9 86.3 98.7 100.9 113.8 89.8 84.4 87.2 85.6 72 69.2 77.5 78.1 94.3 97.7 100.2 116.4 97.1 93 96 80.5 76.1 69.9 73.6 92.6 94.2 93.5 108.5 109.4 105.1 92.5 97.1 81.4 79.1 72.1 78.7 87.1 91.4 109.9 116.3 113 100 84.8 94.3 87.1 90.3 72.4 84.9 92.7 92.2 114.9 112.5 118.3 106 91.2 96.6 96.3 88.2 70.2 86.5 88.2 102.8 119.1 119.2 125.1 106.1 102.1 105.2 101 84.3 87.5 92.7 94.4 113 113.9 122.9 132.7 106.9 96.6 127.3 98.2 100.2 89.4 95.3 104.2 106.4 116.2 135.9 134 104.6 107.1 123.5 98.8 98.6 90.6 89.1 105.2 114 122.1 138 142.2 116.4 112.6 123.8 103.6 113.9 98.6 95 116 113.9 127.5 131.4 145.9 131.5 131 130.5 118.9 114.3 85.7 104.6 105.1 117.3 142.5 140 159.8 131.2 125.4 126.5 119.4 113.5 98.7 114.5 113. etc...

Output produced by software:

Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 7 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 93.2 NA NA 1.03233461610663 NA 2 96 NA NA 0.962005092231205 NA 3 95.2 NA NA 1.04470573132146 NA 4 77.1 NA NA 0.944586439182326 NA 5 70.9 NA NA 0.912683952012475 NA 6 64.8 NA NA 0.81374314640175 NA 7 70.1 76.1401239298978 86.1541666666667 0.883766007794916 0.920670946957494 8 77.3 79.607626372559 85.7166666666667 0.928729842961996 0.97101249619277 9 79.5 81.4181072767391 84.6708333333333 0.96158386626728 0.976441269136612 10 100.6 92.6752549780769 84.2958333333333 1.0994049327635 1.08551090605359 11 100.7 98.8345351021155 84.8125 1.1653298169741 1.01887462612089 12 107.1 106.747160361878 85.3208333333333 1.25112655598236 1.00330537727585 13 95.9 88.4366654464682 85.6666666666667 1.03233461610663 1.08439185846564 14 82.8 82.3877194405008 85.6416666666667 0.962005092231205 1.00500415064647 15 83.3 89.6270458662873 85.7916666666667 1.04470573132146 0.929406957407405 16 80 81.443029941666 86.2208333333333 0.944586439182326 0.982281725732703 17 80.4 78.8825134024782 86.4291666666667 0.912683952012475 1.01923730028453 18 67.5 70.7210606151988 86.9083333333334 0.81374314640175 0.954454011475805 19 75.7 77.0791253131799 87.2166666666667 0.883766007794916 0.982107667833848 20 71.1 81.0781152905822 87.3 0.928729842961996 0.87693207649412 21 89.3 84.3268984721976 87.6958333333333 0.96158386626728 1.05897408321548 22 101.1 96.8621554303512 88.1041666666667 1.0994049327635 1.04375129327672 23 105.2 102.767523234403 88.1875 1.1653298169741 1.02366970312254 24 114.1 110.490113975192 88.3125 1.25112655598236 1.03267157481274 25 96.3 91.2540786695925 88.3958333333333 1.03233461610663 1.05529529642919 26 84.4 85.1935676261752 88.5583333333333 0.962005092231205 0.990685122735354 27 91.2 92.5957513194591 88.6333333333333 1.04470573132146 0.984926399974404 28 81.9 83.5093127773774 88.4083333333333 0.944586439182326 0.98072894239152 29 80.5 80.4340761208994 88.1291666666667 0.912683952012475 1.00081960137146 30 70.4 71.5585379367039 87.9375 0.81374314640175 0.983809927227291 31 74.8 77.4657729415902 87.6541666666667 0.883766007794916 0.965587731970348 32 75.9 81.1555094441624 87.3833333333333 0.928729842961996 0.935241495245885 33 86.3 83.8661395362779 87.2166666666667 0.96158386626728 1.02902077616997 34 98.7 95.872690990864 87.2041666666667 1.0994049327635 1.02949024357108 35 100.9 101.38854961765 87.0041666666667 1.1653298169741 0.995181412304518 36 113.8 108.347559748072 86.6 1.25112655598236 1.05032360917593 37 89.8 89.464698668341 86.6625 1.03233461610663 1.00374786185669 38 84.4 83.566175678484 86.8666666666666 0.962005092231205 1.00997801221303 39 87.2 91.1941044632695 87.2916666666667 1.04470573132146 0.95620216365107 40 85.6 82.730028965052 87.5833333333333 0.944586439182326 1.03469080176631 41 72 79.8712543504917 87.5125 0.912683952012475 0.901450723235784 42 69.2 71.2771184319066 87.5916666666667 0.81374314640175 0.970858552118785 43 77.5 77.7750910443184 88.0041666666667 0.883766007794916 0.996462992963112 44 78.1 82.347379409297 88.6666666666667 0.928729842961996 0.948421195188423 45 94.3 85.9575844454092 89.3916666666667 0.96158386626728 1.09705269882135 46 97.7 98.4471308750853 89.5458333333333 1.0994049327635 0.992410841550748 47 100.2 104.301874160086 89.5041666666667 1.1653298169741 0.960673054121828 48 116.4 112.231265098934 89.7041666666667 1.25112655598236 1.03714414960387 49 97.1 92.4670718435179 89.5708333333333 1.03233461610663 1.0501035456635 50 93 86.5924833644614 90.0125 0.962005092231205 1.07399622214979 51 96 94.6633980793662 90.6125 1.04470573132146 1.01411952188229 52 80.5 85.4221003167217 90.4333333333333 0.944586439182326 0.942379076392738 53 76.1 82.6929689021303 90.6041666666667 0.912683952012475 0.92027171125113 54 69.9 73.7725974142053 90.6583333333333 0.81374314640175 0.947506288921046 55 73.6 80.1575769069989 90.7 0.883766007794916 0.918191427934415 56 92.6 84.5260248325787 91.0125 0.928729842961996 1.09552058296144 57 94.2 87.5401912253075 91.0375 0.96158386626728 1.07607715589234 58 93.5 100.178693644188 91.1208333333333 1.0994049327635 0.933332194688932 59 108.5 106.375190126119 91.2833333333333 1.1653298169741 1.01997467521667 60 109.4 114.478079872386 91.5 1.25112655598236 0.955641465352613 61 105.1 94.7726191528227 91.8041666666667 1.03233461610663 1.10897009009031 62 92.5 88.3000424031718 91.7875 0.962005092231205 1.04756461585433 63 97.1 95.5296332482536 91.4416666666667 1.04470573132146 1.0164385301016 64 81.4 86.9098239584338 92.0083333333333 0.944586439182326 0.936602978725754 65 79.1 84.8948189363604 93.0166666666667 0.912683952012475 0.931741194469072 66 72.1 76.0782029956769 93.4916666666667 0.81374314640175 0.947709030457738 67 78.7 82.5695216366058 93.4291666666666 0.883766007794916 0.953136198927786 68 87.1 86.2751327034904 92.8958333333333 0.928729842961996 1.00956089281653 69 91.4 88.9064416352956 92.4583333333333 0.96158386626728 1.02804699320813 70 109.9 101.781992504468 92.5791666666667 1.0994049327635 1.07975877948327 71 116.3 108.705849760067 93.2833333333333 1.1653298169741 1.06985962813128 72 113 117.308753705296 93.7625 1.25112655598236 0.963269972877556 73 100 97.0738650678937 94.0333333333333 1.03233461610663 1.03014338545251 74 84.8 90.9335313431547 94.525 0.962005092231205 0.932549288996502 75 94.3 99.0293974481805 94.7916666666667 1.04470573132146 0.952242489906543 76 87.1 89.7671979369603 95.0333333333333 0.944586439182326 0.970287610638873 77 90.3 86.7810324371862 95.0833333333333 0.912683952012475 1.04054996194429 78 72.4 77.4242697836832 95.1458333333333 0.81374314640175 0.93510730165463 79 84.9 84.5027597786572 95.6166666666667 0.883766007794916 1.00470091417586 80 92.7 89.2818955700799 96.1333333333333 0.928729842961996 1.03828440702446 81 92.2 92.7888364953497 96.4958333333333 0.96158386626728 0.993654015745965 82 114.9 106.614793354741 96.975 1.0994049327635 1.07771160440833 83 112.5 113.352602405251 97.2708333333333 1.1653298169741 0.99247831644656 84 118.3 121.473962531254 97.0916666666667 1.25112655598236 0.973871252199935 85 106 100.205280070084 97.0666666666667 1.03233461610663 1.05782848893654 86 91.2 93.2623853372644 96.9458333333333 0.962005092231205 0.977886204284758 87 96.6 101.545397084446 97.2 1.04470573132146 0.951298658270707 88 96.3 92.3962968593511 97.8166666666666 0.944586439182326 1.04224956273509 89 88.2 89.690212534226 98.2708333333333 0.912683952012475 0.983384892374324 90 70.2 80.4249476360396 98.8333333333333 0.81374314640175 0.872863484073222 91 86.5 87.5996231643052 99.1208333333333 0.883766007794916 0.987447170152288 92 88.2 92.4821438206197 99.5791666666667 0.928729842961996 0.953697615088536 93 102.8 96.5350069743493 100.391666666667 0.96158386626728 1.06489866445356 94 119.1 110.980347108589 100.945833333333 1.0994049327635 1.07316297977935 95 119.2 117.674033809863 100.979166666667 1.1653298169741 1.01296773927715 96 125.1 127.036262678058 101.5375 1.25112655598236 0.984758189219046 97 106.1 105.831503727865 102.516666666667 1.03233461610663 1.00253701650905 98 102.1 99.1185913362219 103.033333333333 0.962005092231205 1.0300792073776 99 105.2 108.353396100225 103.716666666667 1.04470573132146 0.970897118007195 100 101 98.1661456920232 103.925 0.944586439182326 1.02886793902317 101 84.3 94.7936369658957 103.8625 0.912683952012475 0.889300196703382 102 87.5 84.9005349412492 104.333333333333 0.81374314640175 1.03061777008295 103 92.7 92.5155715826644 104.683333333333 0.883766007794916 1.0019934851418 104 94.4 97.0406594664916 104.4875 0.928729842961996 0.972788112931123 105 113 101.138589734104 105.179166666667 0.96158386626728 1.11727877852638 106 113.9 116.518599457385 105.983333333333 1.0994049327635 0.977526339403495 107 122.9 124.14161429407 106.529166666667 1.1653298169741 0.989998403829932 108 132.7 134.209388265691 107.270833333333 1.25112655598236 0.98875348226234 109 106.9 110.932957289125 107.458333333333 1.03233461610663 0.963645093508018 110 96.6 103.872499833664 107.975 0.962005092231205 0.929986282747501 111 127.3 112.941395436945 108.108333333333 1.04470573132146 1.12713323142064 112 98.2 101.948427225582 107.929166666667 0.944586439182326 0.963232123068576 113 100.2 99.0870543901544 108.566666666667 0.912683952012475 1.0112319981323 114 89.4 88.830236219081 109.1625 0.81374314640175 1.00641407481473 115 95.3 96.4372832422544 109.120833333333 0.883766007794916 0.988207016995725 116 104.2 101.661090435227 109.4625 0.928729842961996 1.02497425075713 117 106.4 105.525816123948 109.741666666667 0.96158386626728 1.00828407595564 118 116.2 120.503942338653 109.608333333333 1.0994049327635 0.964283804702773 119 135.9 127.681303613128 109.566666666667 1.1653298169741 1.06436883203961 120 134 137.060914207867 109.55 1.25112655598236 0.977667490213695 121 104.6 112.877187482793 109.341666666667 1.03233461610663 0.926670856464646 122 107.1 104.97880568973 109.125 0.962005092231205 1.02020592915239 123 123.5 114.377865817512 109.483333333333 1.04470573132146 1.0797543660855 124 98.8 103.947801855185 110.045833333333 0.944586439182326 0.950477049410273 125 98.6 100.741294053177 110.379166666667 0.912683952012475 0.978744624304243 126 90.6 90.1695218142006 110.808333333333 0.81374314640175 1.00477409857719 127 89.1 98.6651100535707 111.641666666667 0.883766007794916 0.90305478757002 128 105.2 104.354406979817 112.3625 0.928729842961996 1.00810308874015 129 114 108.278349941138 112.604166666667 0.96158386626728 1.0528420507144 130 122.1 124.031199831269 112.816666666667 1.0994049327635 0.984429725473135 131 138 132.44458924001 113.654166666667 1.1653298169741 1.04194516961295 132 142.2 143.410381479478 114.625 1.25112655598236 0.99156001492367 133 116.4 118.929249169718 115.204166666667 1.03233461610663 0.978733161208237 134 112.6 111.496390189597 115.9 0.962005092231205 1.00989816628616 135 123.8 121.547158898705 116.345833333333 1.04470573132146 1.01853470802368 136 103.6 110.10729259402 116.566666666667 0.944586439182326 0.940900439555689 137 113.9 106.342891808654 116.516666666667 0.912683952012475 1.07106359496923 138 98.6 94.7163116447203 116.395833333333 0.81374314640175 1.0410033740529 139 95 103.558964321735 117.179166666667 0.883766007794916 0.917351777532805 140 116 110.124141129219 118.575 0.928729842961996 1.05335668283566 141 113.9 115.025463402781 119.620833333333 0.96158386626728 0.990215528201442 142 127.5 132.519522082981 120.5375 1.0994049327635 0.96212239522085 143 131.4 141.228262735452 121.191666666667 1.1653298169741 0.93040866930536 144 145.9 150.974484115854 120.670833333333 1.25112655598236 0.966388465272316 145 131.5 124.430732394719 120.533333333333 1.03233461610663 1.05681287467517 146 131 115.901571841105 120.479166666667 0.962005092231205 1.13026939944864 147 130.5 125.538805380463 120.166666666667 1.04470573132146 1.03951921164537 148 118.9 114.231986711783 120.933333333333 0.944586439182326 1.04086432725709 149 114.3 111.271385149521 121.916666666667 0.912683952012475 1.02721827221266 150 85.7 99.9717361318983 122.854166666667 0.81374314640175 0.85724228983011 151 104.6 109.075137153722 123.420833333333 0.883766007794916 0.958971977753145 152 105.1 114.396298406844 123.175 0.928729842961996 0.918736020865097 153 117.3 118.058459180965 122.775 0.96158386626728 0.99357556259647 154 142.5 134.819110734011 122.629166666667 1.0994049327635 1.05697181374488 155 140 142.88885772464 122.616666666667 1.1653298169741 0.979782484298338 156 159.8 154.044957205328 123.125 1.25112655598236 1.03735950140193 157 131.2 128.091218887664 124.079166666667 1.03233461610663 1.02427005644362 158 125.4 120.110344119617 124.854166666667 0.962005092231205 1.04403996940609 159 126.5 131.502333930089 125.875 1.04470573132146 0.96196011294561 160 119.4 119.557092762673 126.570833333333 0.944586439182326 0.99868604397244 161 113.5 115.450717079778 126.495833333333 0.912683952012475 0.983103465018497 162 98.7 103.026663527348 126.608333333333 0.81374314640175 0.958004429346587 163 114.5 111.932647245592 126.654166666667 0.883766007794916 1.0229365856842 164 113.8 117.406930981112 126.416666666667 0.928729842961996 0.96927838117417 165 133.1 121.872741850492 126.741666666667 0.96158386626728 1.09212279939743 166 143.4 140.247422589531 127.566666666667 1.0994049327635 1.02247868340294 167 137.3 148.972850477426 127.8375 1.1653298169741 0.921644444339912 168 165.2 160.722845197883 128.4625 1.25112655598236 1.02785636849948 169 126.9 133.687332785809 129.5 1.03233461610663 0.949229798782182 170 124 125.100745535566 130.041666666667 0.962005092231205 0.991201127292616 171 135.7 136.133862672281 130.308333333333 1.04470573132146 0.996812970235586 172 130 123.036319480328 130.254166666667 0.944586439182326 1.05659857633165 173 109.4 119.24596118023 130.654166666667 0.912683952012475 0.917431491324485 174 117.8 107.024176734047 131.520833333333 0.81374314640175 1.10068587860041 175 120.3 116.837548588854 132.204166666667 0.883766007794916 1.02963474887111 176 121 122.990919161921 132.429166666667 0.928729842961996 0.983812470258067 177 132.3 128.034891793488 133.15 0.96158386626728 1.03331207725306 178 142.9 147.375231236948 134.05 1.0994049327635 0.969633762747062 179 147.4 156.901948773754 134.641666666667 1.1653298169741 0.93944021187745 180 175.9 168.902085057618 135 1.25112655598236 1.04143178540392 181 132.6 139.223227164681 134.8625 1.03233461610663 0.952427283151206 182 123.7 130.059080115108 135.195833333333 0.962005092231205 0.951106219500554 183 153.3 141.531508950775 135.475 1.04470573132146 1.08315103213743 184 134 127.908811195777 135.4125 0.944586439182326 1.04762133857143 185 119.6 124.246708667298 136.133333333333 0.912683952012475 0.962600951629704 186 116.2 111.43195211039 136.9375 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0.951947382952719 425 155 145.474216251188 159.391666666667 0.912683952012475 1.06548090784943 426 124.5 128.961335722461 158.479166666667 0.81374314640175 0.965405633421307 427 153 139.222605094626 157.533333333333 0.883766007794916 1.09895946779627 428 146 145.048252932269 156.179166666667 0.928729842961996 1.0065615893228 429 138 150.015096336581 156.008333333333 0.96158386626728 0.91990741845325 430 190 172.290495525701 156.7125 1.0994049327635 1.10278863276969 431 192 181.645785220837 155.875 1.1653298169741 1.05700222973285 432 192 194.002811587014 155.0625 1.25112655598236 0.989676378550236 433 147 160.011865496528 155 1.03233461610663 0.918681871146547 434 133 148.429369022173 154.291666666667 0.962005092231205 0.896049082982572 435 163 160.797623812562 153.916666666667 1.04470573132146 1.01369657172301 436 150 144.521725194896 153 0.944586439182326 1.03790623726444 437 129 138.195561733889 151.416666666667 0.912683952012475 0.933459789746388 438 131 122.53615546233 150.583333333333 0.81374314640175 1.06907222203713 439 145 132.638548336554 150.083333333333 0.883766007794916 1.09319652407595 440 137 139.46426475146 150.166666666667 0.928729842961996 0.982330493364366 441 138 144.27764593452 150.041666666667 0.96158386626728 0.956489129734146 442 168 164.544271603604 149.666666666667 1.0994049327635 1.02100181527267 443 176 174.993694182277 150.166666666667 1.1653298169741 1.00575052616853 444 188 188.190286129013 150.416666666667 1.25112655598236 0.99898886317181 445 139 154.463066934955 149.625 1.03233461610663 0.899891493534396 446 143 143.378842287959 149.041666666667 0.962005092231205 0.997357753194865 447 150 156.052918616144 149.375 1.04470573132146 0.961212397244344 448 154 140.625306133269 148.875 0.944586439182326 1.0951087271167 449 137 135.267367387849 148.208333333333 0.912683952012475 1.01280894753561 450 129 120.501797596326 148.083333333333 0.81374314640175 1.07052344921976 451 128 131.165604990229 148.416666666667 0.883766007794916 0.975865586176616 452 140 137.955078756647 148.541666666667 0.928729842961996 1.01482309503777 453 143 143.035600107258 148.75 0.96158386626728 0.999751110162567 454 151 162.895164204459 148.166666666667 1.0994049327635 0.926976566415877 455 177 171.012150640949 146.75 1.1653298169741 1.03501417493792 456 184 183.081519358751 146.333333333333 1.25112655598236 1.00501678511554 457 151 150.849895778582 146.125 1.03233461610663 1.00099505684537 458 134 140.653161193304 146.208333333333 0.962005092231205 0.952698104067775 459 164 152.875272016708 146.333333333333 1.04470573132146 1.07276996362156 460 126 138.578702181707 146.708333333333 0.944586439182326 0.90923062502625 461 131 134.734968415842 147.625 0.912683952012475 0.972279145794475 462 125 120.501797596326 148.083333333333 0.81374314640175 1.03732892366256 463 127 130.318662566092 147.458333333333 0.883766007794916 0.974534249348908 464 143 136.523286915413 147 0.928729842961996 1.04744035417635 465 143 140.952168397012 146.583333333333 0.96158386626728 1.01452855693018 466 160 160.650545800067 146.125 1.0994049327635 0.995950553439908 467 190 171.303483095192 147 1.1653298169741 1.10914265470258 468 182 185.218860558555 148.041666666667 1.25112655598236 0.982621313246136 469 138 NA 147.916666666667 NA NA 470 136 NA 148 NA NA 471 152 NA NA NA NA 472 127 NA NA NA NA 473 151 NA NA NA NA 474 130 NA NA NA NA 475 119 NA NA NA NA 476 153 NA NA NA NA

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v/1vlk81275894048.png (open in new window) http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v/1vlk81275894048.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v/2vlk81275894048.png (open in new window) http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v/2vlk81275894048.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v/36cka1275894048.png (open in new window) http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v/36cka1275894048.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v/46cka1275894048.png (open in new window) http://www.freestatistics.org/blog/date/2010/Jun/07/t12758940884h3qu80f3hu9g6v/46cka1275894048.ps (open in new window)

Parameters (Session):

par1 = multiplicative ; par2 = 12 ;

Parameters (R input):

par1 = multiplicative ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- as.numeric(par2) x <- ts(x,freq=par2) m <- decompose(x,type=par1) m$figure bitmap(file='test1.png') plot(m) dev.off() mylagmax <- length(x)/2 bitmap(file='test2.png') op <- par(mfrow = c(2,2)) acf(as.numeric(x),lag.max = mylagmax,main='Observed') acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend') acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal') acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random') par(op) dev.off() bitmap(file='test3.png') op <- par(mfrow = c(2,2)) spectrum(as.numeric(x),main='Observed') spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend') spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal') spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random') par(op) dev.off() bitmap(file='test4.png') op <- par(mfrow = c(2,2)) cpgram(as.numeric(x),main='Observed') cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend') cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal') cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random') par(op) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'t',header=TRUE) a<-table.element(a,'Observations',header=TRUE) a<-table.element(a,'Fit',header=TRUE) a<-table.element(a,'Trend',header=TRUE) a<-table.element(a,'Seasonal',header=TRUE) a<-table.element(a,'Random',header=TRUE) a<-table.row.end(a) for (i in 1:length(m$trend)) { a<-table.row.start(a) a<-table.element(a,i,header=TRUE) a<-table.element(a,x[i]) if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i]) a<-table.element(a,m$trend[i]) a<-table.element(a,m$seasonal[i]) a<-table.element(a,m$random[i]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')

Copyright

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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