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Classical composition Dollar

*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: Tue, 14 Dec 2010 13:51:38 +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/14/t1292335037jld0szj9gib5kjw.htm/, Retrieved Tue, 14 Dec 2010 14:57:23 +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/14/t1292335037jld0szj9gib5kjw.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 «
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 1,401 1,3908 1,3901 1,3856 1,4098 1,422 1,4238 1,4207 1,4095 1,4177 1,3866 1,3959 1,4102 1,3969 1,4004 1,385 1,389 1,384 1,392 1,3932 1,3858 1,3978 1,4029 1,394 1,4096 1,4058 1,4134 1,4096 1,4049 1,4009 1,3897 1,4019 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'George Udny Yule' @ 72.249.76.132


Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
11.3866NANA-0.00128070103092784NA
21.3582NANA-0.000561113402061862NA
31.33321.360374969072161.359840.000534969072164944-0.027174969072165
41.35951.356740329896911.35620.0005403298969072290.00275967010309253
51.36171.353206515463921.352440.0007665154639175320.00849348453608223
61.36841.349759298969071.35104-0.001280701030927840.0186407010309280
71.33941.342038886597941.3426-0.000561113402061862-0.00263888659793832
81.32621.332494969072171.331960.000534969072164944-0.00629496907216498
91.31731.324220329896911.323680.000540329896907229-0.00692032989690738
101.30851.320206515463921.319440.000766515463917532-0.0117065154639178
111.3271.311519298969071.3128-0.001280701030927840.0154807010309277
121.31821.306978886597941.30754-0.0005611134020618620.0112211134020617
131.2931.306054969072171.305520.000534969072164944-0.0130549690721653
141.2911.296560329896911.296020.000540329896907229-0.00556032989690758
151.29841.292946515463921.292180.0007665154639175320.0054534845360823
161.27951.295779298969071.29706-0.00128070103092784-0.0162792989690721
171.2991.303498886597941.30406-0.000561113402061862-0.00449888659793851
181.31741.307134969072161.30660.0005349690721649440.0102650309278349
191.3261.307560329896911.307020.0005403298969072290.0184396701030927
201.31111.303186515463921.302420.0007665154639175320.0079134845360822
211.28161.294639298969071.29592-0.00128070103092784-0.0130392989690722
221.2761.286518886597941.28708-0.000561113402061862-0.0105188865979382
231.28491.281974969072171.281440.0005349690721649440.00292503092783480
241.28181.281580329896911.281040.0005403298969072290.000219670103092540
251.28291.286766515463921.2860.000766515463917532-0.00386651546391770
261.27961.287079298969071.28836-0.00128070103092784-0.00747929896907196
271.30081.290198886597941.29076-0.0005611134020618620.0106011134020616
281.29671.291374969072171.290840.0005349690721649440.00532503092783476
291.29381.291920329896911.291380.0005403298969072290.00187967010309253
301.28331.287286515463921.286520.000766515463917532-0.00398651546391782
311.28231.278579298969071.27986-0.001280701030927840.0037207010309277
321.27651.272458886597941.27302-0.0005611134020618620.00404111340206148
331.26341.270994969072161.270460.000534969072164944-0.00759496907216484
341.25961.266360329896911.265820.000540329896907229-0.00676032989690745
351.27051.267246515463921.266480.0007665154639175320.00325348453608210
361.25911.267779298969071.26906-0.00128070103092784-0.00867929896907205
371.27981.272478886597941.27304-0.0005611134020618620.00732111340206165
381.27631.275114969072171.274580.0005349690721649440.00118503092783473
391.27951.276180329896911.275640.0005403298969072290.00331967010309264
401.27821.272366515463921.27160.0007665154639175320.00583348453608235
411.26441.267359298969071.26864-0.00128070103092784-0.00295929896907232
421.25961.263278886597941.26384-0.000561113402061862-0.00367888659793825
431.26151.259834969072171.25930.0005349690721649440.00166503092783477
441.25551.260120329896911.259580.000540329896907229-0.00462032989690742
451.25551.259726515463921.258960.000766515463917532-0.00422651546391761
461.26581.261039298969071.26232-0.001280701030927840.00476070103092763
471.25651.266378886597941.26694-0.000561113402061862-0.00987888659793845
481.27831.272014969072171.271480.0005349690721649440.00628503092783483
491.27861.276960329896911.276420.0005403298969072290.00163967010309252
501.27821.286726515463921.285960.000766515463917532-0.00852651546391758
511.29051.287859298969071.28914-0.001280701030927840.00264070103092795
521.30421.295458886597941.29602-0.0005611134020618620.00874111340206163
531.29421.314334969072161.31380.000534969072164944-0.0201349690721648
541.3131.327220329896911.326680.000540329896907229-0.0142203298969072
551.36711.337766515463921.3370.0007665154639175320.0293334845360824
561.35491.347019298969071.3483-0.001280701030927840.00788070103092786
571.35581.355018886597941.35558-0.0005611134020618620.000781113402061662
581.35071.354834969072171.35430.000534969072164944-0.00413496907216504
591.34941.349760329896911.349220.000540329896907229-0.000360329896907485
601.36071.342686515463921.341920.0007665154639175320.0180134845360824
611.32951.336659298969071.33794-0.00128070103092784-0.0071592989690723
621.31931.332418886597941.33298-0.000561113402061862-0.0131188865979384
631.33081.329214969072171.328680.0005349690721649440.00158503092783491
641.32461.331820329896911.331280.000540329896907229-0.00722032989690735
651.33921.338106515463921.337340.0007665154639175320.00109348453608238
661.34251.334999298969071.33628-0.001280701030927840.00750070103092781
671.34961.335418886597941.33598-0.0005611134020618620.0141811134020617
681.32551.334134969072161.33360.000534969072164944-0.00863496907216499
691.32311.331160329896911.330620.000540329896907229-0.00806032989690753
701.32731.324926515463921.324160.0007665154639175320.00237348453608233
711.32761.321699298969071.32298-0.001280701030927840.00590070103092777
721.31731.318958886597941.31952-0.000561113402061862-0.00165888659793834
731.31961.313914969072161.313380.0005349690721649440.00568503092783512
741.30581.307040329896911.30650.000540329896907229-0.00124032989690726
751.29661.302746515463921.301980.000766515463917532-0.00614651546391753
761.29321.297779298969071.29906-0.00128070103092784-0.00457929896907228
771.29471.301978886597941.30254-0.000561113402061862-0.0072788865979383
781.3051.306254969072161.305720.000534969072164944-0.00125496907216505
791.32321.307460329896911.306920.0005403298969072290.0157396701030927
801.31251.314066515463921.31330.000766515463917532-0.00156651546391751
811.29921.316519298969071.3178-0.00128070103092784-0.0173192989690722
821.32661.317058886597941.31762-0.0005611134020618620.00954111340206176
831.32751.323714969072171.323180.0005349690721649440.00378503092783466
841.32231.330320329896911.329780.000540329896907229-0.00802032989690726
851.34031.332486515463921.331720.0007665154639175320.00781348453608244
861.33221.333439298969071.33472-0.00128070103092784-0.00123929896907193
871.33631.341178886597941.34174-0.000561113402061862-0.00487888659793811
881.34251.347874969072161.347340.000534969072164944-0.00537496907216495
891.35741.353900329896911.353360.0005403298969072290.00349967010309249
901.36831.358126515463921.357360.0007665154639175320.0101734845360826
911.36231.357939298969071.35922-0.001280701030927840.00436070103092789
921.35631.357058886597941.35762-0.000561113402061862-0.000758886597938435
931.35181.356734969072161.35620.000534969072164944-0.00493496907216495
941.34941.358080329896911.357540.000540329896907229-0.00868032989690737
951.36121.362466515463921.36170.000766515463917532-0.00126651546391776
961.3691.369499298969071.37078-0.00128070103092784-0.000499298969071971
971.37711.380538886597941.3811-0.000561113402061862-0.00343888659793823
981.39721.387554969072171.387020.0005349690721649440.00964503092783486
991.4011.391780329896911.391240.0005403298969072290.00921967010309266
1001.39081.393706515463921.392940.000766515463917532-0.00290651546391740
1011.39011.394179298969071.39546-0.00128070103092784-0.00407929896907211
1021.38561.399098886597941.39966-0.000561113402061862-0.0134988865979382
1031.40981.406794969072161.406260.0005349690721649440.00300503092783511
1041.4221.412920329896911.412380.0005403298969072290.00907967010309263
1051.42381.417926515463921.417160.0007665154639175320.00587348453608239
1061.42071.417459298969071.41874-0.001280701030927840.00324070103092811
1071.40951.411098886597941.41166-0.000561113402061862-0.00159888659793817
1081.41771.406614969072161.406080.0005349690721649440.0110850309278350
1091.38661.404520329896911.403980.000540329896907229-0.0179203298969073
1101.39591.402226515463921.401460.000766515463917532-0.00632651546391783
1111.41021.396719298969071.398-0.001280701030927840.0134807010309277
1121.39691.397118886597941.39768-0.000561113402061862-0.000218886597938228
1131.40041.396834969072171.39630.0005349690721649440.003565030927835
1141.3851.391600329896911.391060.000540329896907229-0.00660032989690729
1151.3891.390846515463921.390080.000766515463917532-0.00184651546391756
1161.3841.387359298969071.38864-0.00128070103092784-0.00335929896907228
1171.3921.388238886597941.3888-0.0005611134020618620.00376111340206164
1181.39321.391094969072171.390560.0005349690721649440.00210503092783498
1191.38581.394880329896911.394340.000540329896907229-0.00908032989690732
1201.39781.395506515463921.394740.0007665154639175320.00229348453608225
1211.40291.396739298969071.39802-0.001280701030927840.00616070103092792
1221.3941.401458886597941.40202-0.000561113402061862-0.00745888659793836
1231.40961.405674969072171.405140.0005349690721649440.00392503092783492
1241.40581.407020329896911.406480.000540329896907229-0.00122032989690735
1251.41341.409426515463921.408660.0007665154639175320.00397348453608237
1261.40961.405639298969071.40692-0.001280701030927840.00396070103092772
1271.40491.403138886597941.4037-0.0005611134020618620.00176111340206164
1281.40091.401934969072161.40140.000534969072164944-0.00103496907216494
1291.38971.398040329896911.39750.000540329896907229-0.00834032989690758
1301.40191.397086515463921.396320.0007665154639175320.0048134845360821
1311.39011.392879298969071.39416-0.00128070103092784-0.00277929896907225
1321.3991.395158886597941.39572-0.0005611134020618620.00384111340206172
1331.39011.395694969072161.395160.000534969072164944-0.00559496907216506
1341.39751.399460329896911.398920.000540329896907229-0.00196032989690753
1351.39911.402486515463921.401720.000766515463917532-0.00338651546391766
1361.40891.404219298969071.4055-0.001280701030927840.00468070103092777
1371.4131.409778886597941.41034-0.0005611134020618620.00322111340206166
1381.4091.415514969072161.414980.000534969072164944-0.00651496907216487
1391.42171.417560329896911.417020.0005403298969072290.00413967010309269
1401.42231.419766515463921.4190.0007665154639175320.00253348453608226
1411.41911.420459298969071.42174-0.00128070103092784-0.00135929896907205
1421.42291.422218886597941.42278-0.0005611134020618620.000681113402061895
1431.42271.423434969072171.42290.000534969072164944-0.00073496907216497
1441.42691.421700329896911.421160.0005403298969072290.00519967010309252
1451.42291.418406515463921.417640.0007665154639175320.00449348453608245
1461.41041.414579298969071.41586-0.00128070103092784-0.0041792989690721
1471.40531.415978886597941.41654-0.000561113402061862-0.0106788865979384
1481.41381.420174969072171.419640.000534969072164944-0.00637496907216506
1491.43031.426300329896911.425760.0005403298969072290.00399967010309266
1501.43841.432866515463921.43210.0007665154639175320.00553348453608216
1511.4411.435199298969071.43648-0.001280701030927840.005800701030928
1521.4371.433898886597941.43446-0.0005611134020618620.00310111340206176
1531.43571.430634969072171.43010.0005349690721649440.00506503092783483
1541.42021.425840329896911.42530.000540329896907229-0.00564032989690766
1551.41661.424526515463921.423760.000766515463917532-0.00792651546391765
1561.4171.421219298969071.4225-0.00128070103092784-0.00421929896907214
1571.42931.419338886597941.4199-0.0005611134020618620.00996111340206163
1581.42941.419134969072171.41860.0005349690721649440.0102650309278347
1591.40721.417980329896911.417440.000540329896907229-0.0107803298969074
1601.41011.417206515463921.416440.000766515463917532-0.00710651546391783
1611.41121.415879298969071.41716-0.00128070103092784-0.00467929896907204
1621.42431.421618886597941.42218-0.0005611134020618620.00268111340206167
1631.4331.427174969072171.426640.0005349690721649440.00582503092783493
1641.43231.430340329896911.42980.0005403298969072290.00195967010309239
1651.43241.431066515463921.43030.0007665154639175320.00133348453608240
1661.4271.429699298969071.43098-0.00128070103092784-0.00269929896907217
1671.42681.429398886597941.42996-0.000561113402061862-0.00259888659793828
1681.43641.430294969072171.429760.0005349690721649440.00610503092783476
1691.42721.429300329896911.428760.000540329896907229-0.00210032989690756
1701.43141.430866515463921.43010.0007665154639175320.000533484536082485
1711.4221.426779298969071.42806-0.00128070103092784-0.00477929896907203
1721.43351.428658886597941.42922-0.0005611134020618620.00484111340206161
1731.42621.432934969072161.43240.000534969072164944-0.00673496907216498
1741.4331.438980329896911.438440.000540329896907229-0.00598032989690722
1751.44731.443406515463921.442640.0007665154639175320.00389348453608251
1761.45221.447999298969071.44928-0.001280701030927840.00420070103092773
1771.45451.453338886597941.4539-0.0005611134020618620.00116111340206171
1781.45941.457194969072171.456660.0005349690721649440.00220503092783497
1791.45611.460180329896911.459640.000540329896907229-0.00408032989690743
1801.46111.463746515463921.462980.000766515463917532-0.00264651546391748
1811.46711.463919298969071.4652-0.001280701030927840.00318070103092793
1821.47121.466578886597941.46714-0.0005611134020618620.00462111340206173
1831.47051.471054969072171.470520.000534969072164944-0.000554969072165123
1841.46581.473300329896911.472760.000540329896907229-0.00750032989690741
1851.4781.474646515463921.473880.0007665154639175320.00335348453608231
1861.47831.471899298969071.47318-0.001280701030927840.00640070103092771
1871.47681.472458886597941.47302-0.0005611134020618620.00434111340206145
1881.4671.468934969072171.46840.000534969072164944-0.00193496907216506
1891.4651.466140329896911.46560.000540329896907229-0.00114032989690749
1901.45491.461786515463921.461020.000766515463917532-0.0068865154639175
1911.46431.457079298969071.45836-0.001280701030927840.00722070103092753
1921.45391.457118886597941.45768-0.000561113402061862-0.00321888659793834
1931.45371.461674969072161.461140.000534969072164944-0.00797496907216488
1941.46161.462700329896911.462160.000540329896907229-0.00110032989690745
1951.47221.467406515463921.466640.0007665154639175320.00479348453608242
1961.46941.469619298969071.4709-0.00128070103092784-0.000219298969071913
1971.47631.473318886597941.47388-0.0005611134020618620.00298111340206164
1981.4751.477254969072171.476720.000534969072164944-0.00225496907216516
1991.47651.481000329896911.480460.000540329896907229-0.00450032989690752
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4261.2681.272939298969071.27422-0.00128070103092784-0.00493929896907219
4271.281.276078886597941.27664-0.0005611134020618620.00392111340206180
4281.28181.280654969072171.280120.0005349690721649440.00114503092783491
4291.28341.281940329896911.28140.0005403298969072290.00145967010309267
4301.28741.280106515463921.279340.0007665154639175320.00729348453608258
4311.27441.275999298969071.27728-0.00128070103092784-0.00159929896907207
4321.26971.274538886597941.2751-0.000561113402061862-0.0048388865979383
4331.27151.274174969072171.273640.000534969072164944-0.00267496907216502
4341.27251.276300329896911.275760.000540329896907229-0.00380032989690737
4351.28011.282366515463921.28160.000766515463917532-0.00226651546391765
4361.2851.287579298969071.28886-0.00128070103092784-0.00257929896907205
4371.29891.294998886597941.29556-0.0005611134020618620.00390111340206167
4381.30781.301554969072171.301020.0005349690721649440.0062450309278348
4391.3061.306960329896911.306420.000540329896907229-0.00096032989690742
4401.30741.314686515463921.313920.000766515463917532-0.0072865154639179
4411.3121.317539298969071.31882-0.00128070103092784-0.00553929896907213
4421.33641.325298886597941.32586-0.0005611134020618620.011101113402062
4431.33231.334454969072161.333920.000534969072164944-0.00215496907216495
4441.34121.341260329896911.340720.000540329896907229-6.03298969075183e-05
4451.34771.346426515463921.345660.0007665154639175320.00127348453608223
4461.3461.350879298969071.35216-0.00128070103092784-0.00487929896907202
4471.36111.357878886597941.35844-0.0005611134020618620.00322111340206144
4481.36481.363534969072171.3630.0005349690721649440.00126503092783459
4491.37261.369940329896911.36940.0005403298969072290.00265967010309254
4501.37051.375066515463921.37430.000766515463917532-0.00456651546391762
4511.3781.379459298969071.38074-0.00128070103092784-0.00145929896907226
4521.38561.383138886597941.3837-0.0005611134020618620.00246111340206157
4531.3971.388854969072171.388320.0005349690721649440.0081450309278348
4541.38741.389920329896911.389380.000540329896907229-0.00252032989690743
4551.39361.392186515463921.391420.0007665154639175320.00141348453608225
4561.38331.392759298969071.39404-0.00128070103092784-0.00945929896907205
4571.39581.397778886597941.39834-0.000561113402061862-0.00197888659793866
4581.41011.398074969072171.397540.0005349690721649440.0120250309278347
4591.40891.398600329896911.398060.0005403298969072290.0102996701030926
4601.38961.396886515463921.396120.000766515463917532-0.00728651546391768
4611.38591.393139298969071.39442-0.00128070103092784-0.00723929896907238
4621.38611.390758886597941.39132-0.000561113402061862-0.00465888659793801
4631.40161.394554969072171.394020.0005349690721649440.00704503092783493
4641.39341.395620329896911.395080.000540329896907229-0.00222032989690724
4651.40311.394686515463921.393920.0007665154639175320.00841348453608237
4661.39121.389459298969071.39074-0.001280701030927840.00174070103092783
4671.38031.388638886597941.3892-0.000561113402061862-0.00833888659793836
4681.38571.387634969072161.38710.000534969072164944-0.00193496907216506
4691.38571.389760329896911.389220.000540329896907229-0.0040603298969073
4701.39261.394206515463921.393440.000766515463917532-0.00160651546391755
4711.40181.399899298969071.40118-0.001280701030927840.00190070103092776
4721.40141.405158886597941.40572-0.000561113402061862-0.00375888659793833
4731.42441.406074969072171.405540.0005349690721649440.0183250309278351
4741.40841.404620329896911.404080.0005403298969072290.00377967010309255
4751.39171.399966515463921.39920.000766515463917532-0.00826651546391788
4761.39451.387039298969071.38832-0.001280701030927840.00746070103092777
4771.3771.380298886597941.38086-0.000561113402061862-0.00329888659793842
4781.371.375574969072171.375040.000534969072164944-0.00557496907216515
4791.37111.368920329896911.368380.0005403298969072290.0021796701030925
4801.36261.363366515463921.36260.000766515463917532-0.000766515463917594
4811.36121.360259298969071.36154-0.001280701030927840.000940701030927693
4821.34811.360238886597941.3608-0.000561113402061862-0.0121388865979384
4831.36471.361754969072171.361220.0005349690721649440.00294503092783494
4841.36741.359440329896911.35890.0005403298969072290.00795967010309262
4851.36471.356826515463921.356060.0007665154639175320.0078734845360826
4861.34961.348259298969071.34954-0.001280701030927840.00134070103092787
4871.33391.339998886597941.34056-0.000561113402061862-0.00609888659793811
4881.33211.331074969072171.330540.0005349690721649440.00102503092783501
4891.32251.321120329896911.320580.0005403298969072290.00137967010309259
4901.3146NANA0.000766515463917532NA
4911.2998NANANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/14/t1292335037jld0szj9gib5kjw/145m41292334682.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t1292335037jld0szj9gib5kjw/145m41292334682.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/14/t1292335037jld0szj9gib5kjw/245m41292334682.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t1292335037jld0szj9gib5kjw/245m41292334682.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/14/t1292335037jld0szj9gib5kjw/3xxlp1292334682.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t1292335037jld0szj9gib5kjw/3xxlp1292334682.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/14/t1292335037jld0szj9gib5kjw/4pok91292334682.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t1292335037jld0szj9gib5kjw/4pok91292334682.ps (open in new window)


 
Parameters (Session):
par1 = additive ; par2 = 5 ;
 
Parameters (R input):
par1 = additive ; par2 = 5 ;
 
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')
 





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Software written by Ed van Stee & Patrick Wessa


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