tijdreeks additief beursspel

*The author of this computation has been verified*

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

Title produced by software: Classical Decomposition

Date of computation: Thu, 09 Dec 2010 17:38:16 +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/Dec/09/t1291916401clprnyr04aizm95.htm/, Retrieved Thu, 09 Dec 2010 18:40:03 +0100

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/Dec/09/t1291916401clprnyr04aizm95.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 «

10 10 10 10 10 9,94 10,06 10,06 10,06 10,06 10,06 10,06 10,06 10,06 10,06 10,06 10,06 10,06 10,06 10,06 9,94 9,94 9,94 9,94 9,94 9,94 10,06 10,06 9,94 10,06 10,06 10,06 10,18 10,28 10,28 10,18 10,28 10,28 10,28 10,18 10,28 10,28 10,18 10,18 10,18 10,28 10,28 10,18 10,18 10,18 10,18 10,18 10,18 10,28 10,28 10,28 10,18 10,18 10,18 10,28 10,18 10,18 10,28 10,18 10,18 10,18 10,28 10,28 10,28 10,28 10,28 10,28 10,18 10,18 10,18 10,18 10,18 10,18 10,18 10,18 10,18 10,28 10,28 10,28 10,28 10,28 10,28 10,28 10,28 10,18 10,28 10,28 10,28 10,28 10,18 10,28 10,28 10,28 10,18 10,18 10,28 10,28 10,28 10,28 10,28 10,28 10,28 10,18 10,28 10,28 10,28 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,34 10,34 10,34 10,42 10,42 10,42 10,42 10,34 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,42 10,34 10,34 10,34 10,3 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 6 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 10 NA NA 0.0048040674603174 NA 2 10 NA NA -0.00397569444444439 NA 3 10 NA NA -0.0123983134920636 NA 4 10 NA NA -0.018172123015873 NA 5 10 NA NA -0.0123685515873019 NA 6 9.94 NA NA 0.00736359126984129 NA 7 10.06 10.0356671626984 10.0275 0.00816716269841294 0.0243328373015874 8 10.06 10.0343278769841 10.0325 0.00182787698412722 0.025672123015875 9 10.06 10.0347743055556 10.0375 -0.00272569444444438 0.0252256944444458 10 10.06 10.0556076388889 10.0425 0.013107638888889 0.00439236111111363 11 10.06 10.0533754960317 10.0475 0.00587549603174614 0.00662450396825598 12 10.06 10.0634945436508 10.055 0.00849454365079334 -0.00349454365079005 13 10.06 10.0648040674603 10.06 0.0048040674603174 -0.00480406746031647 14 10.06 10.0560243055556 10.06 -0.00397569444444439 0.00397569444444557 15 10.06 10.0426016865079 10.055 -0.0123983134920636 0.0173983134920661 16 10.06 10.0268278769841 10.045 -0.018172123015873 0.0331721230158752 17 10.06 10.0226314484127 10.035 -0.0123685515873019 0.0373685515873046 18 10.06 10.0323635912698 10.025 0.00736359126984129 0.0276364087301602 19 10.06 10.0231671626984 10.015 0.00816716269841294 0.0368328373015885 20 10.06 10.0068278769841 10.005 0.00182787698412722 0.0531721230158748 21 9.94 9.99727430555555 10 -0.00272569444444438 -0.0572743055555538 22 9.94 10.0131076388889 10 0.013107638888889 -0.073107638888887 23 9.94 10.0008754960317 9.995 0.00587549603174614 -0.0608754960317466 24 9.94 9.9984945436508 9.99 0.00849454365079334 -0.0584945436507933 25 9.94 9.99480406746032 9.99 0.0048040674603174 -0.054804067460319 26 9.94 9.98602430555556 9.99 -0.00397569444444439 -0.0460243055555569 27 10.06 9.98760168650793 10 -0.0123983134920636 0.0723983134920658 28 10.06 10.0059945436508 10.0241666666667 -0.018172123015873 0.0540054563492074 29 9.94 10.0401314484127 10.0525 -0.0123685515873019 -0.100131448412696 30 10.06 10.0840302579365 10.0766666666667 0.00736359126984129 -0.0240302579365057 31 10.06 10.1090004960317 10.1008333333333 0.00816716269841294 -0.0490004960317432 32 10.06 10.1309945436508 10.1291666666667 0.00182787698412722 -0.0709945436507908 33 10.18 10.1497743055556 10.1525 -0.00272569444444438 0.0302256944444448 34 10.28 10.1797743055556 10.1666666666667 0.013107638888889 0.100225694444445 35 10.28 10.1917088293651 10.1858333333333 0.00587549603174614 0.0882911706349212 36 10.18 10.2176612103175 10.2091666666667 0.00849454365079334 -0.0376612103174594 37 10.28 10.2281374007937 10.2233333333333 0.0048040674603174 0.0518625992063484 38 10.28 10.2293576388889 10.2333333333333 -0.00397569444444439 0.0506423611111089 39 10.28 10.2259350198413 10.2383333333333 -0.0123983134920636 0.0540649801587296 40 10.18 10.2201612103175 10.2383333333333 -0.018172123015873 -0.0401612103174607 41 10.28 10.225964781746 10.2383333333333 -0.0123685515873019 0.0540352182539685 42 10.28 10.2456969246032 10.2383333333333 0.00736359126984129 0.0343030753968243 43 10.18 10.2423338293651 10.2341666666667 0.00816716269841294 -0.0623338293650804 44 10.18 10.2276612103175 10.2258333333333 0.00182787698412722 -0.0476612103174592 45 10.18 10.2147743055556 10.2175 -0.00272569444444438 -0.0347743055555547 46 10.28 10.2264409722222 10.2133333333333 0.013107638888889 0.0535590277777764 47 10.28 10.2150421626984 10.2091666666667 0.00587549603174614 0.0649578373015878 48 10.18 10.2134945436508 10.205 0.00849454365079334 -0.0334945436507912 49 10.18 10.213970734127 10.2091666666667 0.0048040674603174 -0.0339707341269833 50 10.18 10.2135243055556 10.2175 -0.00397569444444439 -0.0335243055555576 51 10.18 10.2092683531746 10.2216666666667 -0.0123983134920636 -0.0292683531746043 52 10.18 10.1993278769841 10.2175 -0.018172123015873 -0.0193278769841267 53 10.18 10.1967981150794 10.2091666666667 -0.0123685515873019 -0.0167981150793626 54 10.28 10.2165302579365 10.2091666666667 0.00736359126984129 0.0634697420634929 55 10.28 10.2215004960317 10.2133333333333 0.00816716269841294 0.058499503968255 56 10.28 10.2151612103175 10.2133333333333 0.00182787698412722 0.0648387896825415 57 10.18 10.2147743055556 10.2175 -0.00272569444444438 -0.0347743055555529 58 10.18 10.2347743055556 10.2216666666667 0.013107638888889 -0.0547743055555543 59 10.18 10.2275421626984 10.2216666666667 0.00587549603174614 -0.0475421626984147 60 10.28 10.2259945436508 10.2175 0.00849454365079334 0.0540054563492056 61 10.18 10.2181374007937 10.2133333333333 0.0048040674603174 -0.0381374007936515 62 10.18 10.2093576388889 10.2133333333333 -0.00397569444444439 -0.0293576388888876 63 10.28 10.2051016865079 10.2175 -0.0123983134920636 0.0748983134920636 64 10.18 10.2076612103175 10.2258333333333 -0.018172123015873 -0.0276612103174596 65 10.18 10.2217981150794 10.2341666666667 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0.00736359126984129 -0.0323635912698403 79 10.18 10.2173338293651 10.2091666666667 0.00816716269841294 -0.0373338293650782 80 10.18 10.2193278769841 10.2175 0.00182787698412722 -0.0393278769841263 81 10.18 10.2231076388889 10.2258333333333 -0.00272569444444438 -0.0431076388888876 82 10.28 10.2472743055556 10.2341666666667 0.013107638888889 0.0327256944444461 83 10.28 10.2483754960317 10.2425 0.00587549603174614 0.0316245039682546 84 10.28 10.2551612103175 10.2466666666667 0.00849454365079334 0.0248387896825424 85 10.28 10.2556374007936 10.2508333333333 0.0048040674603174 0.0243625992063503 86 10.28 10.2551909722222 10.2591666666667 -0.00397569444444439 0.0248090277777777 87 10.28 10.2551016865079 10.2675 -0.0123983134920636 0.0248983134920628 88 10.28 10.2534945436508 10.2716666666667 -0.018172123015873 0.0265054563492058 89 10.28 10.2551314484127 10.2675 -0.0123685515873019 0.0248685515873017 90 10.18 10.2706969246032 10.2633333333333 0.00736359126984129 -0.0906969246031757 91 10.28 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10.4009945436508 10.3991666666667 0.00182787698412722 0.0190054563492055 117 10.42 10.4014409722222 10.4041666666667 -0.00272569444444438 0.0185590277777781 118 10.42 10.4164409722222 10.4033333333333 0.013107638888889 0.0035590277777775 119 10.42 10.4058754960317 10.4 0.00587549603174614 0.0141245039682527 120 10.42 10.4084945436508 10.4 0.00849454365079334 0.011505456349207 121 10.42 10.4048040674603 10.4 0.0048040674603174 0.0151959325396813 122 10.34 10.3960243055556 10.4 -0.00397569444444439 -0.0560243055555567 123 10.34 10.3842683531746 10.3966666666667 -0.0123983134920636 -0.0442683531746031 124 10.34 10.3751612103175 10.3933333333333 -0.018172123015873 -0.0351612103174599 125 10.42 10.380964781746 10.3933333333333 -0.0123685515873019 0.0390352182539697 126 10.42 10.4006969246032 10.3933333333333 0.00736359126984129 0.0193030753968255 127 10.42 10.4015004960317 10.3933333333333 0.00816716269841294 0.0184995039682558 128 10.42 10.3984945436508 10.3966666666667 0.00182787698412722 0.0215054563492068 129 10.34 10.4006076388889 10.4033333333333 -0.00272569444444438 -0.0606076388888894 130 10.42 10.4231076388889 10.41 0.013107638888889 -0.00310763888889021 131 10.42 10.4192088293651 10.4133333333333 0.00587549603174614 0.00079117063491907 132 10.42 10.4218278769841 10.4133333333333 0.00849454365079334 -0.00182787698412668 133 10.42 10.4181374007937 10.4133333333333 0.0048040674603174 0.00186259920634946 134 10.42 10.4093576388889 10.4133333333333 -0.00397569444444439 0.0106423611111115 135 10.42 10.4042683531746 10.4166666666667 -0.0123983134920636 0.0157316468253956 136 10.42 10.4018278769841 10.42 -0.018172123015873 0.0181721230158729 137 10.42 10.4076314484127 10.42 -0.0123685515873019 0.0123685515873024 138 10.42 10.4273635912698 10.42 0.00736359126984129 -0.00736359126984176 139 10.42 10.4281671626984 10.42 0.00816716269841294 -0.00816716269841322 140 10.42 10.4218278769841 10.42 0.00182787698412722 -0.00182787698412668 141 10.42 10.4139409722222 10.4166666666667 -0.00272569444444438 0.006059027777777 142 10.42 10.4231076388889 10.41 0.013107638888889 -0.00310763888888843 143 10.42 10.4092088293651 10.4033333333333 0.00587549603174614 0.0107911706349189 144 10.42 10.4051612103175 10.3966666666667 0.00849454365079334 0.0148387896825408 145 10.42 10.3981374007937 10.3933333333333 0.0048040674603174 0.021862599206349 146 10.42 10.3893576388889 10.3933333333333 -0.00397569444444439 0.0306423611111111 147 10.34 10.3776016865079 10.39 -0.0123983134920636 -0.0376016865079372 148 10.34 10.3651612103175 10.3833333333333 -0.018172123015873 -0.0251612103174601 149 10.34 10.3642981150794 10.3766666666667 -0.0123685515873019 -0.0242981150793646 150 10.34 10.3806969246032 10.3733333333333 0.00736359126984129 -0.040696924603175 151 10.42 10.3815004960317 10.3733333333333 0.00816716269841294 0.0384995039682554 152 10.42 10.3751612103175 10.3733333333333 0.00182787698412722 0.044838789682542 153 10.34 10.3706076388889 10.3733333333333 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179 10.42 10.4058754960317 10.4 0.00587549603174614 0.0141245039682527 180 10.42 10.4084945436508 10.4 0.00849454365079334 0.011505456349207 181 10.34 10.4048040674603 10.4 0.0048040674603174 -0.0648040674603187 182 10.34 10.3960243055556 10.4 -0.00397569444444439 -0.0560243055555567 183 10.34 10.3876016865079 10.4 -0.0123983134920636 -0.0476016865079369 184 10.42 10.3818278769841 10.4 -0.018172123015873 0.0381721230158725 185 10.42 10.3876314484127 10.4 -0.0123685515873019 0.0323685515873038 186 10.42 10.4073635912698 10.4 0.00736359126984129 0.0126364087301596 187 10.42 10.4115004960317 10.4033333333333 0.00816716269841294 0.00849950396825427 188 10.42 10.4118278769841 10.41 0.00182787698412722 0.00817212301587311 189 10.42 10.4139409722222 10.4166666666667 -0.00272569444444438 0.006059027777777 190 10.42 10.4331076388889 10.42 0.013107638888889 -0.0131076388888882 191 10.42 10.4258754960317 10.42 0.00587549603174614 -0.00587549603174686 192 10.42 10.4251612103175 10.4166666666667 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10.5335243055556 10.5375 -0.00397569444444439 0.0164756944444449 219 10.55 10.5301016865079 10.5425 -0.0123983134920636 0.0198983134920656 220 10.49 10.5268278769841 10.545 -0.018172123015873 -0.036827876984125 221 10.55 10.5301314484127 10.5425 -0.0123685515873019 0.0198685515873045 222 10.55 10.5448635912698 10.5375 0.00736359126984129 0.00513640873016108 223 10.55 10.5431671626984 10.535 0.00816716269841294 0.00683283730158912 224 10.55 10.5368278769841 10.535 0.00182787698412722 0.0131721230158739 225 10.55 10.5322743055556 10.535 -0.00272569444444438 0.0177256944444455 226 10.55 10.5481076388889 10.535 0.013107638888889 0.00189236111111413 227 10.49 10.5408754960317 10.535 0.00587549603174614 -0.050875496031745 228 10.49 10.5434945436508 10.535 0.00849454365079334 -0.0534945436507908 229 10.55 10.5398040674603 10.535 0.0048040674603174 0.0101959325396841 230 10.55 10.5310243055556 10.535 -0.00397569444444439 0.0189756944444461 231 10.55 10.5226016865079 10.535 -0.0123983134920636 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10.5176314484127 10.53 -0.0123685515873019 0.0323685515873038 246 10.55 10.5406969246032 10.5333333333333 0.00736359126984129 0.00930307539682573 247 10.55 10.5481671626984 10.54 0.00816716269841294 0.00183283730158657 248 10.49 10.5509945436508 10.5491666666667 0.00182787698412722 -0.0609945436507946 249 10.55 10.5581076388889 10.5608333333333 -0.00272569444444438 -0.00810763888888744 250 10.55 10.5856076388889 10.5725 0.013107638888889 -0.0356076388888873 251 10.55 10.5850421626984 10.5791666666667 0.00587549603174614 -0.0350421626984119 252 10.63 10.5918278769841 10.5833333333333 0.00849454365079334 0.0381721230158742 253 10.63 10.5948040674603 10.59 0.0048040674603174 0.0351959325396827 254 10.63 10.5951909722222 10.5991666666667 -0.00397569444444439 0.0348090277777775 255 10.63 10.5959350198413 10.6083333333333 -0.0123983134920636 0.0340649801587318 256 10.63 10.5943278769841 10.6125 -0.018172123015873 0.035672123015873 257 10.57 10.6017981150794 10.6141666666667 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10.6256671626984 10.6175 0.00816716269841294 0.00433283730158607 272 10.57 10.6168278769841 10.615 0.00182787698412722 -0.0468278769841284 273 10.63 10.6110243055556 10.61375 -0.00272569444444438 0.0189756944444444 274 10.63 10.6285243055556 10.6154166666667 0.013107638888889 0.00147569444444429 275 10.63 10.6296254960317 10.62375 0.00587549603174614 0.000374503968252782 276 10.63 10.6405778769841 10.6320833333333 0.00849454365079334 -0.0105778769841258 277 10.57 10.642720734127 10.6379166666667 0.0048040674603174 -0.0727207341269853 278 10.63 10.6422743055556 10.64625 -0.00397569444444439 -0.0122743055555574 279 10.6 10.6421850198413 10.6545833333333 -0.0123983134920636 -0.0421850198412717 280 10.7 10.6422445436508 10.6604166666667 -0.018172123015873 0.057755456349204 281 10.7 10.6538814484127 10.66625 -0.0123685515873019 0.0461185515873002 282 10.7 10.6794469246032 10.6720833333333 0.00736359126984129 0.0205530753968244 283 10.7 10.6885838293651 10.6804166666667 0.00816716269841294 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10.6 10.6643278769841 10.6625 0.00182787698412722 -0.0643278769841249 297 10.7 10.6681076388889 10.6708333333333 -0.00272569444444438 0.0318923611111135 298 10.7 10.6922743055556 10.6791666666667 0.013107638888889 0.00772569444444748 299 10.7 10.6933754960317 10.6875 0.00587549603174614 0.00662450396825598 300 10.7 10.7001612103175 10.6916666666667 0.00849454365079334 -0.000161210317456195 301 10.7 10.696470734127 10.6916666666667 0.0048040674603174 0.00352926587301816 302 10.7 10.6918576388889 10.6958333333333 -0.00397569444444439 0.00814236111111377 303 10.7 10.6876016865079 10.7 -0.0123983134920636 0.0123983134920671 304 10.7 10.6818278769841 10.7 -0.018172123015873 0.0181721230158765 305 10.7 10.6917981150794 10.7041666666667 -0.0123685515873019 0.008201884920636 306 10.7 10.7198635912698 10.7125 0.00736359126984129 -0.0198635912698411 307 10.7 10.7290004960317 10.7208333333333 0.00816716269841294 -0.0290004960317454 308 10.7 10.7309945436508 10.7291666666667 0.00182787698412722 -0.0309945436507917 309 10.7 10.7306076388889 10.7333333333333 -0.00272569444444438 -0.0306076388888865 310 10.7 10.7464409722222 10.7333333333333 0.013107638888889 -0.0464409722222197 311 10.8 10.7392088293651 10.7333333333333 0.00587549603174614 0.0607911706349231 312 10.8 10.7480778769841 10.7395833333333 0.00849454365079334 0.051922123015876 313 10.8 10.752720734127 10.7479166666667 0.0048040674603174 0.0472792658730175 314 10.8 10.7481076388889 10.7520833333333 -0.00397569444444439 0.0518923611111131 315 10.7 10.7438516865079 10.75625 -0.0123983134920636 -0.0438516865079386 316 10.7 10.7422445436508 10.7604166666667 -0.018172123015873 -0.0422445436507939 317 10.7 10.7480481150794 10.7604166666667 -0.0123685515873019 -0.0480481150793644 318 10.85 10.7636135912698 10.75625 0.00736359126984129 0.08638640873016 319 10.75 10.7602504960317 10.7520833333333 0.00816716269841294 -0.0102504960317429 320 10.75 10.7497445436508 10.7479166666667 0.00182787698412722 0.000255456349211869 321 10.75 10.7451909722222 10.7479166666667 -0.00272569444444438 0.00480902777778347 322 10.75 10.7651909722222 10.7520833333333 0.013107638888889 -0.0151909722222197 323 10.75 10.7621254960317 10.75625 0.00587549603174614 -0.0121254960317447 324 10.75 10.7668278769841 10.7583333333333 0.00849454365079334 -0.0168278769841237 325 10.75 10.7673040674603 10.7625 0.0048040674603174 -0.0173040674603175 326 10.75 10.7668576388889 10.7708333333333 -0.00397569444444439 -0.0168576388888884 327 10.75 10.7667683531746 10.7791666666667 -0.0123983134920636 -0.0167683531746015 328 10.75 10.7693278769841 10.7875 -0.018172123015873 -0.0193278769841267 329 10.75 10.783464781746 10.7958333333333 -0.0123685515873019 -0.0334647817460301 330 10.85 10.8115302579365 10.8041666666667 0.00736359126984129 0.0384697420634907 331 10.85 10.8206671626984 10.8125 0.00816716269841294 0.0293328373015864 332 10.85 10.8226612103175 10.8208333333333 0.00182787698412722 0.0273387896825383 333 10.85 10.8264409722222 10.8291666666667 -0.00272569444444438 0.0235590277777771 334 10.85 10.8464409722222 10.8333333333333 0.013107638888889 0.0035590277777775 335 10.85 10.8392088293651 10.8333333333333 0.00587549603174614 0.0107911706349189 336 10.85 10.8418278769841 10.8333333333333 0.00849454365079334 0.00817212301587489 337 10.85 10.8381374007937 10.8333333333333 0.0048040674603174 0.0118625992063492 338 10.85 10.8293576388889 10.8333333333333 -0.00397569444444439 0.0206423611111113 339 10.85 10.8209350198413 10.8333333333333 -0.0123983134920636 0.029064980158731 340 10.75 10.8109945436508 10.8291666666667 -0.018172123015873 -0.0609945436507928 341 10.75 10.808464781746 10.8208333333333 -0.0123685515873019 -0.0584647817460304 342 10.85 10.8198635912698 10.8125 0.00736359126984129 0.0301364087301597 343 10.85 10.8123338293651 10.8041666666667 0.00816716269841294 0.0376661706349211 344 10.85 10.7976612103175 10.7958333333333 0.00182787698412722 0.0523387896825405 345 10.85 NA NA -0.00272569444444438 NA 346 10.75 NA NA 0.013107638888889 NA 347 10.75 NA NA 0.00587549603174614 NA 348 10.75 NA NA 0.00849454365079334 NA 349 10.75 NA NA NA NA 350 10.75 NA NA NA NA

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Dec/09/t1291916401clprnyr04aizm95/1ex091291916288.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/09/t1291916401clprnyr04aizm95/1ex091291916288.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/09/t1291916401clprnyr04aizm95/2ex091291916288.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/09/t1291916401clprnyr04aizm95/2ex091291916288.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/09/t1291916401clprnyr04aizm95/3pozc1291916288.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/09/t1291916401clprnyr04aizm95/3pozc1291916288.ps (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/09/t1291916401clprnyr04aizm95/4pozc1291916288.png (open in new window) http://www.freestatistics.org/blog/date/2010/Dec/09/t1291916401clprnyr04aizm95/4pozc1291916288.ps (open in new window)

Parameters (Session):

par1 = additive ; par2 = 12 ;

Parameters (R input):

par1 = additive ; 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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