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ws8dollar4

*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: Wed, 08 Dec 2010 21:03:24 +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/08/t1291842139ct14rgemqnjltux.htm/, Retrieved Wed, 08 Dec 2010 22:02:25 +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/08/t1291842139ct14rgemqnjltux.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 «
1.2998 1.3146 1.3225 1.3321 1.3339 1.3496 1.3647 1.3674 1.3647 1.3481 1.3612 1.3626 1.3711 1.37 1.377 1.3945 1.3917 1.4084 1.4244 1.4014 1.4018 1.3926 1.3857 1.3857 1.3803 1.3912 1.4031 1.3934 1.4016 1.3861 1.3859 1.3896 1.4089 1.4101 1.3958 1.3833 1.3936 1.3874 1.397 1.3856 1.378 1.3705 1.3726 1.3648 1.3611 1.346 1.3477 1.3412 1.3323 1.3364 1.312 1.3074 1.306 1.3078 1.2989 1.285 1.2801 1.2725 1.2715 1.2697 1.2744 1.2874 1.2834 1.2818 1.28 1.268 1.27 1.2713 1.2693 1.2613 1.2611 1.2704 1.2711 1.2836 1.288 1.286 1.282 1.2799 1.279 1.3016 1.3133 1.3253 1.3176 1.3184 1.3206 1.3221 1.3073 1.3028 1.3069 1.2992 1.3033 1.2931 1.2897 1.285 1.2817 1.2844 1.2957 1.3 1.2828 1.2703 1.2569 1.2572 1.2637 1.266 1.2567 1.2579 1.2531 1.2548 1.2328 1.2271 1.2198 1.2339 1.2294 1.2262 1.2271 1.2258 1.2391 1.2372 1.2363 1.2277 1.2258 1.2249 1.2127 1.2045 1.201 1.1942 1.1959 1.206 1.2268 1.2218 1.2155 1 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 seconds
R Server'George Udny Yule' @ 72.249.76.132


Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
11.2998NANA-0.00131711340206184NA
21.3146NANA0.00110020618556700NA
31.32251.321098144329901.320580.0005181443298969010.00140185567010298
41.33211.330747835051551.330540.0002078350515463840.00135216494845358
51.33391.340050927835051.34056-0.000509072164948445-0.00615092783505133
61.34961.348222886597941.34954-0.001317113402061840.00137711340206148
71.36471.357160206185571.356060.001100206185567000.00753979381443304
81.36741.359418144329901.35890.0005181443298969010.00798185567010301
91.36471.361427835051551.361220.0002078350515463840.00327216494845373
101.34811.360290927835051.3608-0.000509072164948445-0.0121909278350514
111.36121.360222886597941.36154-0.001317113402061840.000977113402061747
121.36261.363700206185571.36260.00110020618556700-0.00110020618556694
131.37111.368898144329901.368380.0005181443298969010.00220185567010289
141.371.375247835051551.375040.000207835051546384-0.00524783505154658
151.3771.380350927835051.38086-0.000509072164948445-0.00335092783505164
161.39451.387002886597941.38832-0.001317113402061840.00749711340206183
171.39171.400300206185571.39920.00110020618556700-0.00860020618556723
181.40841.404598144329901.404080.0005181443298969010.00380185567010316
191.42441.405747835051551.405540.0002078350515463840.0186521649484535
201.40141.405210927835051.40572-0.000509072164948445-0.00381092783505155
211.40181.399862886597941.40118-0.001317113402061840.00193711340206160
221.39261.394540206185571.393440.00110020618556700-0.00194020618556690
231.38571.389738144329901.389220.000518144329896901-0.00403814432989713
241.38571.387307835051551.38710.000207835051546384-0.00160783505154649
251.38031.388690927835051.3892-0.000509072164948445-0.00839092783505135
261.39121.389422886597941.39074-0.001317113402061840.00177711340206188
271.40311.395020206185571.393920.001100206185567000.00807979381443302
281.39341.395598144329901.395080.000518144329896901-0.00219814432989707
291.40161.394227835051551.394020.0002078350515463840.0073721649484535
301.38611.390810927835051.39132-0.000509072164948445-0.00471092783505123
311.38591.393102886597941.39442-0.00131711340206184-0.00720288659793855
321.38961.397220206185571.396120.00110020618556700-0.00762020618556702
331.40891.398578144329901.398060.0005181443298969010.0103218556701030
341.41011.397747835051551.397540.0002078350515463840.0123521649484537
351.39581.397830927835051.39834-0.000509072164948445-0.00203092783505165
361.38331.392722886597941.39404-0.00131711340206184-0.00942288659793822
371.39361.392520206185571.391420.001100206185567000.00107979381443291
381.38741.389898144329901.389380.000518144329896901-0.00249814432989703
391.3971.388527835051551.388320.0002078350515463840.0084721649484536
401.38561.383190927835051.3837-0.0005090721649484450.00240907216494834
411.3781.379422886597941.38074-0.00131711340206184-0.00142288659793866
421.37051.375400206185571.37430.00110020618556700-0.00490020618556697
431.37261.369918144329901.36940.0005181443298969010.00268185567010293
441.36481.363207835051551.3630.0002078350515463840.00159216494845338
451.36111.357930927835051.35844-0.0005090721649484450.00316907216494844
461.3461.350842886597941.35216-0.00131711340206184-0.00484288659793841
471.34771.346760206185571.345660.001100206185567000.000939793814432877
481.34121.341238144329901.340720.000518144329896901-3.81443298971273e-05
491.33231.334127835051551.333920.000207835051546384-0.00182783505154638
501.33641.325350927835051.32586-0.0005090721649484450.0110490721649485
511.3121.317502886597941.31882-0.00131711340206184-0.0055028865979383
521.30741.315020206185571.313920.00110020618556700-0.00762020618556702
531.3061.306938144329901.306420.000518144329896901-0.000938144329896806
541.30781.301227835051551.301020.0002078350515463840.00657216494845358
551.29891.295050927835051.29556-0.0005090721649484450.00384907216494845
561.2851.287542886597941.28886-0.00131711340206184-0.00254288659793844
571.28011.282700206185571.28160.00110020618556700-0.002600206185567
581.27251.276278144329901.275760.000518144329896901-0.00377814432989698
591.27151.273847835051551.273640.000207835051546384-0.00234783505154623
601.26971.274590927835051.2751-0.000509072164948445-0.0048909278350513
611.27441.275962886597941.27728-0.00131711340206184-0.00156288659793824
621.28741.280440206185571.279340.001100206185567000.00695979381443301
631.28341.281918144329901.28140.0005181443298969010.00148185567010306
641.28181.280327835051551.280120.0002078350515463840.00147216494845348
651.281.276130927835051.27664-0.0005090721649484450.00386907216494836
661.2681.272902886597941.27422-0.00131711340206184-0.00490288659793836
671.271.272820206185571.271720.00110020618556700-0.00282020618556711
681.27131.268498144329901.267980.0005181443298969010.00280185567010305
691.26931.266807835051551.26660.0002078350515463840.00249216494845372
701.26131.266170927835051.26668-0.000509072164948445-0.00487092783505139
711.26111.265322886597941.26664-0.00131711340206184-0.00422288659793835
721.27041.270600206185571.26950.00110020618556700-0.000200206185567264
731.27111.275358144329901.274840.000518144329896901-0.00425814432989724
741.28361.280027835051551.279820.0002078350515463840.00357216494845369
751.2881.281630927835051.28214-0.0005090721649484450.00636907216494853
761.2861.282582886597941.2839-0.001317113402061840.00341711340206152
771.2821.284080206185571.282980.00110020618556700-0.00208020618556715
781.27991.286218144329901.28570.000518144329896901-0.00631814432989697
791.2791.291367835051551.291160.000207835051546384-0.0123678350515466
801.30161.299310927835051.29982-0.0005090721649484450.00228907216494845
811.31331.306042886597941.30736-0.001317113402061840.00725711340206159
821.32531.316340206185571.315240.001100206185567000.0089597938144328
831.31761.319558144329901.319040.000518144329896901-0.00195814432989705
841.31841.321007835051551.32080.000207835051546384-0.00260783505154660
851.32061.316690927835051.3172-0.0005090721649484450.00390907216494862
861.32211.312922886597941.31424-0.001317113402061840.00917711340206195
871.30731.313040206185571.311940.00110020618556700-0.00574020618556736
881.30281.308178144329901.307660.000518144329896901-0.00537814432989703
891.30691.304107835051551.30390.0002078350515463840.00279216494845347
901.29921.300550927835051.30106-0.000509072164948445-0.00135092783505164
911.30331.297122886597941.29844-0.001317113402061840.00617711340206162
921.29311.295160206185571.294060.00110020618556700-0.00206020618556702
931.28971.291078144329901.290560.000518144329896901-0.00137814432989702
941.2851.286987835051551.286780.000207835051546384-0.00198783505154654
951.28171.286790927835051.2873-0.000509072164948445-0.0050909278350515
961.28441.288042886597941.28936-0.00131711340206184-0.00364288659793854
971.29571.290020206185571.288920.001100206185567000.00567979381443307
981.31.287158144329901.286640.0005181443298969010.0128418556701031
991.28281.281347835051551.281140.0002078350515463840.00145216494845335
1001.27031.272930927835051.27344-0.000509072164948445-0.00263092783505159
1011.25691.264862886597941.26618-0.00131711340206184-0.0079628865979382
1021.25721.263920206185571.262820.00110020618556700-0.0067202061855669
1031.26371.260618144329901.26010.0005181443298969010.00308185567010311
1041.2661.260507835051551.26030.0002078350515463840.00549216494845339
1051.25671.258970927835051.25948-0.000509072164948445-0.00227092783505145
1061.25791.256382886597941.2577-0.001317113402061840.00151711340206151
1071.25311.252160206185571.251060.001100206185567000.000939793814433099
1081.25481.245658144329901.245140.0005181443298969010.00914185567010284
1091.23281.237727835051551.237520.000207835051546384-0.0049278350515467
1101.22711.233170927835051.23368-0.000509072164948445-0.00607092783505148
1111.21981.227282886597941.2286-0.00131711340206184-0.00748288659793839
1121.23391.228380206185571.227280.001100206185567000.00551979381443313
1131.22941.227798144329901.227280.0005181443298969010.00160185567010296
1141.22621.228687835051551.228480.000207835051546384-0.00248783505154648
1151.22711.229010927835051.22952-0.000509072164948445-0.00191092783505153
1161.22581.229762886597941.23108-0.00131711340206184-0.0039628865979382
1171.23911.234200206185571.23310.001100206185567000.00489979381443306
1181.23721.233738144329901.233220.0005181443298969010.00346185567010315
1191.23631.233427835051551.233220.0002078350515463840.00287216494845333
1201.22771.229870927835051.23038-0.000509072164948445-0.00217092783505146
1211.22581.224162886597941.22548-0.001317113402061840.00163711340206185
1221.22491.220220206185571.219120.001100206185567000.00467979381443295
1231.21271.214298144329901.213780.000518144329896901-0.00159814432989713
1241.20451.207667835051551.207460.000207835051546384-0.0031678350515465
1251.2011.201150927835051.20166-0.000509072164948445-0.000150927835051329
1261.19421.199002886597941.20032-0.00131711340206184-0.00480288659793837
1271.19591.205880206185571.204780.00110020618556700-0.00998020618556694
1281.2061.209458144329901.208940.000518144329896901-0.00345814432989688
1291.22681.213407835051551.21320.0002078350515463840.0133921649484534
1301.22181.219650927835051.22016-0.0005090721649484450.00214907216494842
1311.21551.225322886597941.22664-0.00131711340206184-0.00982288659793817
1321.23071.227480206185571.226380.001100206185567000.00321979381443294
1331.23841.228718144329901.22820.0005181443298969010.00968185567010282
1341.22551.229767835051551.229560.000207835051546384-0.00426783505154638
1351.23091.230110927835051.23062-0.0005090721649484450.000789072164948612
1361.22231.231562886597941.23288-0.00131711340206184-0.0092628865979385
1371.2361.235560206185571.234460.001100206185567000.000439793814432932
1381.24971.234198144329901.233680.0005181443298969010.0155018556701030
1391.23341.237987835051551.237780.000207835051546384-0.00458783505154647
1401.2271.237050927835051.23756-0.000509072164948445-0.0100509278350513
1411.24281.236142886597941.23746-0.001317113402061840.00665711340206165
1421.23491.243620206185571.242520.00110020618556700-0.0087202061855669
1431.24921.251358144329901.250840.000518144329896901-0.00215814432989703
1441.25871.256447835051551.256240.0002078350515463840.00225216494845348
1451.26861.268130927835051.26864-0.0005090721649484450.000469072164948292
1461.26981.272402886597941.27372-0.00131711340206184-0.00260288659793817
1471.29691.277620206185571.276520.001100206185567000.0192797938144331
1481.27461.281798144329901.281280.000518144329896901-0.00719814432989696
1491.27271.289307835051551.28910.000207835051546384-0.0166078350515464
1501.29241.293970927835051.29448-0.000509072164948445-0.00157092783505153
1511.30891.304542886597941.30586-0.001317113402061840.00435711340206169
1521.32381.317540206185571.316440.001100206185567000.00625979381443309
1531.33151.323378144329901.322860.0005181443298969010.00812185567010304
1541.32561.327087835051551.326880.000207835051546384-0.00148783505154659
1551.32451.328030927835051.32854-0.000509072164948445-0.00353092783505149
1561.3291.327142886597941.32846-0.001317113402061840.00185711340206152
1571.33211.331220206185571.330120.001100206185567000.00087979381443315
1581.33111.333198144329901.332680.000518144329896901-0.00209814432989708
1591.33391.336807835051551.33660.000207835051546384-0.00290783505154657
1601.33731.338310927835051.33882-0.000509072164948445-0.00101092783505163
1611.34861.341982886597941.3433-0.001317113402061840.00661711340206184
1621.34321.348500206185571.34740.00110020618556700-0.00530020618556692
1631.35351.352758144329901.352240.0005181443298969010.000741855670103098
1641.35441.354387835051551.354180.0002078350515463841.21649484536857e-05
1651.36151.356730927835051.35724-0.0005090721649484450.00476907216494848
1661.35831.352902886597941.35422-0.001317113402061840.00539711340206184
1671.35851.350360206185571.349260.001100206185567000.00813979381443297
1681.33841.344278144329901.343760.000518144329896901-0.00587814432989697
1691.32961.340227835051551.340020.000207835051546384-0.0106278350515465
1701.3341.337170927835051.33768-0.000509072164948445-0.00317092783505157
1711.33961.338262886597941.33958-0.001317113402061840.00133711340206188
1721.34681.344400206185571.34330.001100206185567000.00239979381443289
1731.34791.346438144329901.345920.0005181443298969010.00146185567010315
1741.34821.345267835051551.345060.0002078350515463840.00293216494845328
1751.34711.342310927835051.34282-0.0005090721649484450.00478907216494839
1761.33531.338682886597941.34-0.00131711340206184-0.00338288659793839
1771.33561.341840206185571.340740.00110020618556700-0.00624020618556709
1781.33381.341258144329901.340740.000518144329896901-0.00745814432989711
1791.35191.344847835051551.344640.0002078350515463840.0070521649484534
1801.34711.350210927835051.35072-0.000509072164948445-0.00311092783505162
1811.35481.357762886597941.35908-0.00131711340206184-0.00296288659793831
1821.3661.364260206185571.363160.001100206185567000.00173979381443301
1831.37561.368358144329901.367840.0005181443298969010.00724185567010283
1841.37231.372387835051551.372180.000207835051546384-8.78350515465254e-05
1851.37051.371610927835051.37212-0.000509072164948445-0.0011109278350514
1861.37651.367882886597941.3692-0.001317113402061840.00861711340206162
1871.36571.366980206185571.365880.00110020618556700-0.00128020618556701
1881.3611.365538144329901.365020.000518144329896901-0.00453814432989708
1891.35571.361567835051551.361360.000207835051546384-0.00586783505154642
1901.36621.361070927835051.36158-0.0005090721649484450.00512907216494862
1911.35821.360882886597941.3622-0.00131711340206184-0.00268288659793825
1921.36681.363120206185571.362020.001100206185567000.00367979381443284
1931.36411.359798144329901.359280.0005181443298969010.00430185567010288
1941.35481.359247835051551.359040.000207835051546384-0.00444783505154667
1951.35251.354950927835051.35546-0.000509072164948445-0.00245092783505152
1961.3571.352262886597941.35358-0.001317113402061840.00473711340206151
1971.34891.355260206185571.354160.00110020618556700-0.00636020618556699
1981.35471.356698144329901.356180.000518144329896901-0.00199814432989687
1991.35771.355367835051551.355160.0002078350515463840.00233216494845334
2001.36261.356210927835051.35672-0.0005090721649484450.00638907216494844
2011.35191.358982886597941.3603-0.00131711340206184-0.00708288659793821
2021.35671.362840206185571.361740.00110020618556700-0.0061402061855671
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4311.32951.336622886597941.33794-0.00131711340206184-0.00712288659793825
4321.36071.343020206185571.341920.001100206185567000.0176797938144331
4331.34941.349738144329901.349220.000518144329896901-0.000338144329897094
4341.35071.354507835051551.35430.000207835051546384-0.00380783505154647
4351.35581.355070927835051.35558-0.0005090721649484450.000729072164948219
4361.35491.346982886597941.3483-0.001317113402061840.0079171134020617
4371.36711.338100206185571.3370.001100206185567000.0289997938144329
4381.3131.327198144329901.326680.000518144329896901-0.0141981443298971
4391.29421.314007835051551.31380.000207835051546384-0.0198078350515463
4401.30421.295510927835051.29602-0.0005090721649484450.00868907216494863
4411.29051.287822886597941.28914-0.001317113402061840.00267711340206178
4421.27821.287060206185571.285960.00110020618556700-0.00886020618556693
4431.27861.276938144329901.276420.0005181443298969010.00166185567010291
4441.27831.271687835051551.271480.0002078350515463840.0066121649484534
4451.25651.266430927835051.26694-0.000509072164948445-0.00993092783505145
4461.26581.261002886597941.26232-0.001317113402061840.00479711340206168
4471.25551.260060206185571.258960.00110020618556700-0.00456020618556718
4481.25551.260098144329901.259580.000518144329896901-0.00459814432989725
4491.26151.259507835051551.25930.0002078350515463840.00199216494845333
4501.25961.263330927835051.26384-0.000509072164948445-0.00373092783505169
4511.26441.267322886597941.26864-0.00131711340206184-0.00292288659793827
4521.27821.272700206185571.27160.001100206185567000.00549979381443277
4531.27951.276158144329901.275640.0005181443298969010.00334185567010303
4541.27631.274787835051551.274580.0002078350515463840.00151216494845330
4551.27981.272530927835051.27304-0.0005090721649484450.00726907216494843
4561.25911.267742886597941.26906-0.00131711340206184-0.00864288659793822
4571.27051.267580206185571.266480.001100206185567000.00291979381443297
4581.25961.266338144329901.265820.000518144329896901-0.00673814432989706
4591.26341.270667835051551.270460.000207835051546384-0.00726783505154649
4601.27651.272510927835051.27302-0.0005090721649484450.00398907216494826
4611.28231.278542886597941.27986-0.001317113402061840.00375711340206153
4621.28331.287620206185571.286520.00110020618556700-0.00432020618556717
4631.29381.291898144329901.291380.0005181443298969010.00190185567010293
4641.29671.291047835051551.290840.0002078350515463840.00565216494845333
4651.30081.290250927835051.29076-0.0005090721649484450.0105490721649484
4661.27961.287042886597941.28836-0.00131711340206184-0.00744288659793813
4671.28291.287100206185571.2860.00110020618556700-0.00420020618556705
4681.28181.281558144329901.281040.0005181443298969010.000241855670103153
4691.28491.281647835051551.281440.0002078350515463840.00325216494845337
4701.2761.286570927835051.28708-0.000509072164948445-0.0105709278350514
4711.28161.294602886597941.29592-0.00131711340206184-0.0130028865979384
4721.31111.303520206185571.302420.001100206185567000.00757979381443286
4731.3261.307538144329901.307020.0005181443298969010.0184618556701031
4741.31741.306807835051551.30660.0002078350515463840.0105921649484535
4751.2991.303550927835051.30406-0.000509072164948445-0.00455092783505151
4761.27951.295742886597941.29706-0.00131711340206184-0.0162428865979380
4771.29841.293280206185571.292180.001100206185567000.00511979381443317
4781.2911.296538144329901.296020.000518144329896901-0.00553814432989697
4791.2931.305727835051551.305520.000207835051546384-0.0127278350515465
4801.31821.307030927835051.30754-0.0005090721649484450.0111690721649487
4811.3271.311482886597941.3128-0.001317113402061840.0155171134020617
4821.30851.320540206185571.319440.00110020618556700-0.0120402061855671
4831.31731.324198144329901.323680.000518144329896901-0.00689814432989722
4841.32621.332167835051551.331960.000207835051546384-0.00596783505154641
4851.33941.342090927835051.3426-0.000509072164948445-0.00269092783505154
4861.36841.349722886597941.35104-0.001317113402061840.0186771134020620
4871.36171.353540206185571.352440.001100206185567000.00815979381443288
4881.35951.356718144329901.35620.0005181443298969010.00278185567010270
4891.33321.360047835051551.359840.000207835051546384-0.0268478350515466
4901.3582NANA-0.000509072164948445NA
4911.3866NANANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/08/t1291842139ct14rgemqnjltux/1pbl71291842187.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/08/t1291842139ct14rgemqnjltux/1pbl71291842187.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/08/t1291842139ct14rgemqnjltux/2pbl71291842187.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/08/t1291842139ct14rgemqnjltux/2pbl71291842187.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/08/t1291842139ct14rgemqnjltux/3zk3a1291842187.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/08/t1291842139ct14rgemqnjltux/3zk3a1291842187.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/08/t1291842139ct14rgemqnjltux/4abkv1291842187.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/08/t1291842139ct14rgemqnjltux/4abkv1291842187.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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