| | | *The author of this computation has been verified* | | R Software Module: /rwasp_decomposeloess.wasp (opens new window with default values) | | Title produced by software: Decomposition by Loess | | Date of computation: Fri, 24 Dec 2010 11:02:24 +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/24/t1293188430amkdieqo9wx6c27.htm/, Retrieved Fri, 24 Dec 2010 12:00:30 +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/24/t1293188430amkdieqo9wx6c27.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 « | | 6,4
7,7
9,2
8,6
7,4
8,6
6,2
6
6,6
5,1
4,7
5
3,6
1,9
-0,1
-5,7
-5,6
-6,4
-7,7
-8
-11,9
-15,4
-15,5
-13,4
-10,9
-10,8
-7,3
-6,5
-5,1
-5,3
-6,8
-8,4
-8,4
-9,7
-8,8
-9,6
-11,5
-11
-14,9
-16,2
-14,4
-17,3
-15,7
-12,6
-9,4
-8,1
-5,4
-4,6
-4,9
-4
-3,1
-1,3
0
-0,4
3
0,4
1,2
0,6
-1,3
-3,2
-1,8
-3,6
-4,2
-6,9
-8
-7,5
-8,2
-7,6
-3,7
-1,7
-0,7
0,2
0,6
2,2
3,3
5,3
5,5
6,3
7,7
6,5
5,5
6,9
5,7
6,9
6,1
4,8
3,7
5,8
6,8
8,5
7,2
5
4,7
2,3
2,4
0,1
1,9
1,7
2
-1,9
0,5
-1,3
-3,3
-2,8
-8
-13,9
-21,9
-28,8
-27,6
-31,4
-31,8
-29,4
-27,6
-23,6
-22,8
-18,2
-17,8
-14,2
-8,8
-7,9
-7
-7
-3,6
-2,4
-4,9
-7,7
-6,5
-5,1
-3,4
-2,8
0,8 | | | | Output produced by software: |
| Seasonal Decomposition by Loess - Parameters | | Component | Window | Degree | Jump | | Seasonal | 1311 | 0 | 132 | | Trend | 19 | 1 | 2 | | Low-pass | 13 | 1 | 2 |
| Seasonal Decomposition by Loess - Time Series Components | | t | Observed | Fitted | Seasonal | Trend | Remainder | | 1 | 6.4 | 3.93875305673375 | -0.215801958110081 | 9.07704890137633 | -2.46124694326625 | | 2 | 7.7 | 7.22063018394759 | -0.473503346178176 | 8.65287316223059 | -0.479369816052415 | | 3 | 9.2 | 10.2570539951293 | -0.0857514182141423 | 8.22869742308485 | 1.05705399512929 | | 4 | 8.6 | 9.7554926094968 | -0.335310164495763 | 7.77981755499897 | 1.15549260949680 | | 5 | 7.4 | 7.23574872124882 | 0.233313591838099 | 7.33093768691308 | -0.164251278751181 | | 6 | 8.6 | 10.1222880196063 | 0.219546022093760 | 6.85816595829996 | 1.52228801960628 | | 7 | 6.2 | 5.8179174970845 | 0.196688273228663 | 6.38539422968684 | -0.382082502915501 | | 8 | 6 | 5.71307219917668 | 0.416253200419578 | 5.87067460040374 | -0.286927800823317 | | 9 | 6.6 | 7.38095269982601 | 0.46309232905335 | 5.35595497112064 | 0.780952699826009 | | 10 | 5.1 | 5.71947426302595 | -0.0705110760564296 | 4.55103681303048 | 0.619474263025952 | | 11 | 4.7 | 5.49436108901322 | 0.159520256046462 | 3.74611865494031 | 0.794361089013225 | | 12 | 5 | 7.92831492150629 | -0.507535109077162 | 2.57922018757087 | 2.92831492150629 | | 13 | 3.6 | 6.00348023790865 | -0.215801958110081 | 1.41232172020143 | 2.40348023790865 | | 14 | 1.9 | 4.24919182660465 | -0.473503346178176 | 0.0243115195735274 | 2.34919182660465 | | 15 | -0.1 | 1.24945009926852 | -0.0857514182141423 | -1.36369868105438 | 1.34945009926852 | | 16 | -5.7 | -8.07685703837869 | -0.335310164495763 | -2.98783279712555 | -2.37685703837869 | | 17 | -5.6 | -6.82134667864137 | 0.233313591838099 | -4.61196691319673 | -1.22134667864137 | | 18 | -6.4 | -6.87225125899635 | 0.219546022093760 | -6.14729476309741 | -0.472251258996351 | | 19 | -7.7 | -7.91406566023057 | 0.196688273228663 | -7.6826226129981 | -0.214065660230569 | | 20 | -8 | -7.73530152845088 | 0.416253200419578 | -8.6809516719687 | 0.264698471549124 | | 21 | -11.9 | -14.5838115981140 | 0.46309232905335 | -9.6792807309393 | -2.68381159811404 | | 22 | -15.4 | -20.7417955633366 | -0.0705110760564296 | -9.987693360607 | -5.34179556333657 | | 23 | -15.5 | -20.8634142657718 | 0.159520256046462 | -10.2961059902747 | -5.36341426577178 | | 24 | -13.4 | -16.1343427560431 | -0.507535109077162 | -10.1581221348797 | -2.73434275604314 | | 25 | -10.9 | -11.5640597624052 | -0.215801958110081 | -10.0201382794847 | -0.664059762405218 | | 26 | -10.8 | -11.4583687287859 | -0.473503346178176 | -9.66812792503596 | -0.658368728785867 | | 27 | -7.3 | -5.19813101119864 | -0.0857514182141423 | -9.31611757058722 | 2.10186898880136 | | 28 | -6.5 | -3.76810977520524 | -0.335310164495763 | -8.896580060299 | 2.73189022479476 | | 29 | -5.1 | -1.95627104182733 | 0.233313591838099 | -8.47704255001077 | 3.14372895817267 | | 30 | -5.3 | -2.53061302746718 | 0.219546022093760 | -8.28893299462658 | 2.76938697253282 | | 31 | -6.8 | -5.69586483398627 | 0.196688273228663 | -8.1008234392424 | 1.10413516601373 | | 32 | -8.4 | -8.84234757698416 | 0.416253200419578 | -8.37390562343542 | -0.442347576984162 | | 33 | -8.4 | -8.61610452142491 | 0.46309232905335 | -8.64698780762844 | -0.216104521424914 | | 34 | -9.7 | -10.0049581412603 | -0.0705110760564296 | -9.3245307826833 | -0.304958141260265 | | 35 | -8.8 | -7.75744649830829 | 0.159520256046462 | -10.0020737577382 | 1.04255350169171 | | 36 | -9.6 | -7.90488399161076 | -0.507535109077162 | -10.7875808993121 | 1.69511600838924 | | 37 | -11.5 | -11.2111100010039 | -0.215801958110081 | -11.5730880408860 | 0.288889998996066 | | 38 | -11 | -9.44896831621618 | -0.473503346178176 | -12.0775283376056 | 1.55103168378382 | | 39 | -14.9 | -17.1322799474605 | -0.0857514182141423 | -12.5819686343253 | -2.23227994746055 | | 40 | -16.2 | -19.4433872105998 | -0.335310164495763 | -12.6213026249044 | -3.24338721059984 | | 41 | -14.4 | -16.3726769763546 | 0.233313591838099 | -12.6606366154835 | -1.97267697635462 | | 42 | -17.3 | -22.5901534155123 | 0.219546022093760 | -12.2293926065815 | -5.29015341551229 | | 43 | -15.7 | -19.7985396755492 | 0.196688273228663 | -11.7981485976795 | -4.09853967554921 | | 44 | -12.6 | -14.6862190030911 | 0.416253200419578 | -10.9300341973285 | -2.08621900309112 | | 45 | -9.4 | -9.20117253207588 | 0.46309232905335 | -10.0619197969775 | 0.198827467924117 | | 46 | -8.1 | -7.29195941577546 | -0.0705110760564296 | -8.8375295081681 | 0.808040584224536 | | 47 | -5.4 | -3.34638103668772 | 0.159520256046462 | -7.61313921935874 | 2.05361896331228 | | 48 | -4.6 | -2.41107625730022 | -0.507535109077162 | -6.28138863362262 | 2.18892374269978 | | 49 | -4.9 | -4.63455999400342 | -0.215801958110081 | -4.9496380478865 | 0.265440005996577 | | 50 | -4 | -3.67906891492706 | -0.473503346178176 | -3.84742773889476 | 0.320931085072940 | | 51 | -3.1 | -3.36903115188283 | -0.0857514182141423 | -2.74521742990303 | -0.269031151882828 | | 52 | -1.3 | -0.197844358175629 | -0.335310164495763 | -2.06684547732861 | 1.10215564182437 | | 53 | 0 | 1.15515993291609 | 0.233313591838099 | -1.38847352475418 | 1.15515993291609 | | 54 | -0.4 | 0.0611368470729622 | 0.219546022093760 | -1.08068286916672 | 0.461136847072962 | | 55 | 3 | 6.5762039403506 | 0.196688273228663 | -0.772892213579259 | 3.57620394035060 | | 56 | 0.4 | 1.16858215886725 | 0.416253200419578 | -0.784835359286826 | 0.768582158867248 | | 57 | 1.2 | 2.73368617594104 | 0.46309232905335 | -0.796778504994392 | 1.53368617594104 | | 58 | 0.6 | 2.47164671475213 | -0.0705110760564296 | -1.20113563869570 | 1.87164671475213 | | 59 | -1.3 | -1.15402748364945 | 0.159520256046462 | -1.60549277239701 | 0.145972516350549 | | 60 | -3.2 | -3.57879764346402 | -0.507535109077162 | -2.31366724745882 | -0.378797643464023 | | 61 | -1.8 | -0.362356319369298 | -0.215801958110081 | -3.02184172252062 | 1.43764368063070 | | 62 | -3.6 | -3.02603356136981 | -0.473503346178176 | -3.70046309245202 | 0.573966438630192 | | 63 | -4.2 | -3.93516411940245 | -0.0857514182141423 | -4.37908446238341 | 0.264835880597554 | | 64 | -6.9 | -8.78371179204647 | -0.335310164495763 | -4.68097804345777 | -1.88371179204647 | | 65 | -8 | -11.2504419673060 | 0.233313591838099 | -4.98287162453213 | -3.25044196730597 | | 66 | -7.5 | -10.3877615656838 | 0.219546022093760 | -4.83178445640993 | -2.88776156568383 | | 67 | -8.2 | -11.9159909849409 | 0.196688273228663 | -4.68069728828774 | -3.71599098494092 | | 68 | -7.6 | -11.5181560430799 | 0.416253200419578 | -4.09809715733969 | -3.91815604307988 | | 69 | -3.7 | -4.3475953026617 | 0.46309232905335 | -3.51549702639165 | -0.647595302661703 | | 70 | -1.7 | -0.813581416936879 | -0.0705110760564296 | -2.51590750700669 | 0.886418583063121 | | 71 | -0.7 | -0.0432022684247254 | 0.159520256046462 | -1.51631798762174 | 0.656797731575275 | | 72 | 0.2 | 1.21911050007992 | -0.507535109077162 | -0.31157539100276 | 1.01911050007992 | | 73 | 0.6 | 0.522634752493866 | -0.215801958110081 | 0.893167205616216 | -0.0773652475061344 | | 74 | 2.2 | 2.92633478746995 | -0.473503346178176 | 1.94716855870823 | 0.72633478746995 | | 75 | 3.3 | 3.68458150641390 | -0.0857514182141423 | 3.00116991180024 | 0.384581506413905 | | 76 | 5.3 | 7.19542051539937 | -0.335310164495763 | 3.7398896490964 | 1.89542051539937 | | 77 | 5.5 | 6.28807702176934 | 0.233313591838099 | 4.47860938639256 | 0.788077021769345 | | 78 | 6.3 | 7.41418986884367 | 0.219546022093760 | 4.96626410906257 | 1.11418986884367 | | 79 | 7.7 | 9.74939289503875 | 0.196688273228663 | 5.45391883173258 | 2.04939289503875 | | 80 | 6.5 | 6.89472958031133 | 0.416253200419578 | 5.6890172192691 | 0.394729580311325 | | 81 | 5.5 | 4.61279206414104 | 0.46309232905335 | 5.92411560680561 | -0.88720793585896 | | 82 | 6.9 | 7.88562514143878 | -0.0705110760564296 | 5.98488593461765 | 0.985625141438775 | | 83 | 5.7 | 5.19482348152384 | 0.159520256046462 | 6.0456562624297 | -0.505176518476162 | | 84 | 6.9 | 8.23439921948231 | -0.507535109077162 | 6.07313588959485 | 1.33439921948231 | | 85 | 6.1 | 6.31518644135008 | -0.215801958110081 | 6.10061551676 | 0.215186441350077 | | 86 | 4.8 | 4.02476393717814 | -0.473503346178176 | 6.04873940900004 | -0.775236062821863 | | 87 | 3.7 | 1.48888811697407 | -0.0857514182141423 | 5.99686330124007 | -2.21111188302593 | | 88 | 5.8 | 6.16392133660161 | -0.335310164495763 | 5.77138882789415 | 0.363921336601612 | | 89 | 6.8 | 7.82077205361367 | 0.233313591838099 | 5.54591435454823 | 1.02077205361367 | | 90 | 8.5 | 11.5906225156492 | 0.219546022093760 | 5.18983146225703 | 3.09062251564921 | | 91 | 7.2 | 9.3695631568055 | 0.196688273228663 | 4.83374856996584 | 2.16956315680550 | | 92 | 5 | 5.14434462526058 | 0.416253200419578 | 4.43940217431984 | 0.144344625260580 | | 93 | 4.7 | 4.89185189227281 | 0.46309232905335 | 4.04505577867384 | 0.191851892272806 | | 94 | 2.3 | 1.15112458061839 | -0.0705110760564296 | 3.51938649543804 | -1.14887541938161 | | 95 | 2.4 | 1.6467625317513 | 0.159520256046462 | 2.99371721220224 | -0.753237468248701 | | 96 | 0.1 | -1.59948626831758 | -0.507535109077162 | 2.30702137739474 | -1.69948626831758 | | 97 | 1.9 | 2.39547641552283 | -0.215801958110081 | 1.62032554258725 | 0.495476415522833 | | 98 | 1.7 | 3.08707286775725 | -0.473503346178176 | 0.786430478420922 | 1.38707286775725 | | 99 | 2 | 4.13321600395955 | -0.0857514182141423 | -0.047464585745404 | 2.13321600395955 | | 100 | -1.9 | -2.05811216119711 | -0.335310164495763 | -1.40657767430713 | -0.158112161197111 | | 101 | 0.5 | 3.53237717103075 | 0.233313591838099 | -2.76569076286885 | 3.03237717103075 | | 102 | -1.3 | 2.11541569441428 | 0.219546022093760 | -4.93496171650804 | 3.41541569441428 | | 103 | -3.3 | 0.307544396918575 | 0.196688273228663 | -7.10423267014724 | 3.60754439691858 | | 104 | -2.8 | 3.81741052200449 | 0.416253200419578 | -9.83366372242407 | 6.6174105220045 | | 105 | -8 | -3.89999755435244 | 0.46309232905335 | -12.5630947747009 | 4.10000244564756 | | 106 | -13.9 | -12.4595485141452 | -0.0705110760564296 | -15.2699404097983 | 1.44045148585477 | | 107 | -21.9 | -25.9827342111507 | 0.159520256046462 | -17.9767860448958 | -4.08273421115068 | | 108 | -28.8 | -36.9512370486469 | -0.507535109077162 | -20.141227842276 | -8.15123704864686 | | 109 | -27.6 | -32.6785284022338 | -0.215801958110081 | -22.3056696396562 | -5.07852840223375 | | 110 | -31.4 | -38.8698703815298 | -0.473503346178176 | -23.456626272292 | -7.46987038152982 | | 111 | -31.8 | -38.906665676858 | -0.0857514182141423 | -24.6075829049278 | -7.10666567685802 | | 112 | -29.4 | -34.1199665871678 | -0.335310164495763 | -24.3447232483364 | -4.71996658716784 | | 113 | -27.6 | -31.3514500000931 | 0.233313591838099 | -24.0818635917450 | -3.75145000009314 | | 114 | -23.6 | -24.872307766188 | 0.219546022093760 | -22.5472382559058 | -1.27230776618799 | | 115 | -22.8 | -24.7840753531621 | 0.196688273228663 | -21.0126129200666 | -1.98407535316207 | | 116 | -18.2 | -17.9462822986774 | 0.416253200419578 | -18.8699709017421 | 0.253717701322554 | | 117 | -17.8 | -19.3357634456357 | 0.46309232905335 | -16.7273288834177 | -1.53576344563568 | | 118 | -14.2 | -13.7288951971180 | -0.0705110760564296 | -14.6005937268255 | 0.471104802881968 | | 119 | -8.8 | -5.28566168581306 | 0.159520256046462 | -12.4738585702334 | 3.51433831418694 | | 120 | -7.9 | -4.46762878417405 | -0.507535109077162 | -10.8248361067488 | 3.43237121582595 | | 121 | -7 | -4.60838439862574 | -0.215801958110081 | -9.17581364326418 | 2.39161560137426 | | 122 | -7 | -5.32648291902813 | -0.473503346178176 | -8.20001373479369 | 1.67351708097187 | | 123 | -3.6 | 0.109965244537344 | -0.0857514182141423 | -7.2242138263232 | 3.70996524453734 | | 124 | -2.4 | 1.98467659902579 | -0.335310164495763 | -6.44936643453002 | 4.38467659902579 | | 125 | -4.9 | -4.35879454910126 | 0.233313591838099 | -5.67451904273684 | 0.541205450898744 | | 126 | -7.7 | -10.6775252519225 | 0.219546022093760 | -4.94202077017123 | -2.97752525192253 | | 127 | -6.5 | -8.98716577562305 | 0.196688273228663 | -4.20952249760561 | -2.48716577562305 | | 128 | -5.1 | -7.06651419370329 | 0.416253200419578 | -3.54973900671629 | -1.96651419370329 | | 129 | -3.4 | -4.37313681322638 | 0.46309232905335 | -2.88995551582697 | -0.973136813226377 | | 130 | -2.8 | -3.25591861377560 | -0.0705110760564296 | -2.27357031016797 | -0.455918613775596 | | 131 | 0.8 | 3.09766484846251 | 0.159520256046462 | -1.65718510450898 | 2.29766484846251 |
| | | | Charts produced by software: |  | | http://www.freestatistics.org/blog/date/2010/Dec/24/t1293188430amkdieqo9wx6c27/1r1nf1293188539.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/24/t1293188430amkdieqo9wx6c27/1r1nf1293188539.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2010/Dec/24/t1293188430amkdieqo9wx6c27/2r1nf1293188539.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/24/t1293188430amkdieqo9wx6c27/2r1nf1293188539.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2010/Dec/24/t1293188430amkdieqo9wx6c27/3kb501293188539.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/24/t1293188430amkdieqo9wx6c27/3kb501293188539.ps (open in new window) |
 | | http://www.freestatistics.org/blog/date/2010/Dec/24/t1293188430amkdieqo9wx6c27/4kb501293188539.png (open in new window) | | http://www.freestatistics.org/blog/date/2010/Dec/24/t1293188430amkdieqo9wx6c27/4kb501293188539.ps (open in new window) |
| | | | Parameters (Session): | | par1 = 12 ; par2 = periodic ; par3 = 0 ; par5 = 1 ; par7 = 1 ; par8 = FALSE ; | | | | Parameters (R input): | | par1 = 12 ; par2 = periodic ; par3 = 0 ; par5 = 1 ; par7 = 1 ; par8 = FALSE ; | | | | R code (references can be found in the software module): | par1 <- as.numeric(par1) #seasonal period
if (par2 != 'periodic') par2 <- as.numeric(par2) #s.window
par3 <- as.numeric(par3) #s.degree
if (par4 == '') par4 <- NULL else par4 <- as.numeric(par4)#t.window
par5 <- as.numeric(par5)#t.degree
if (par6 != '') par6 <- as.numeric(par6)#l.window
par7 <- as.numeric(par7)#l.degree
if (par8 == 'FALSE') par8 <- FALSE else par9 <- TRUE #robust
nx <- length(x)
x <- ts(x,frequency=par1)
if (par6 != '') {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.window=par6, l.degree=par7, robust=par8)
} else {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.degree=par7, robust=par8)
}
m$time.series
m$win
m$deg
m$jump
m$inner
m$outer
bitmap(file='test1.png')
plot(m,main=main)
dev.off()
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$time.series[,'trend']),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$time.series[,'seasonal']),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$time.series[,'remainder']),na.action=na.pass,lag.max = mylagmax,main='Remainder')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Parameters',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Component',header=TRUE)
a<-table.element(a,'Window',header=TRUE)
a<-table.element(a,'Degree',header=TRUE)
a<-table.element(a,'Jump',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,m$win['s'])
a<-table.element(a,m$deg['s'])
a<-table.element(a,m$jump['s'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,m$win['t'])
a<-table.element(a,m$deg['t'])
a<-table.element(a,m$jump['t'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Low-pass',header=TRUE)
a<-table.element(a,m$win['l'])
a<-table.element(a,m$deg['l'])
a<-table.element(a,m$jump['l'])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Fitted',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Remainder',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]+m$time.series[i,'remainder'])
a<-table.element(a,m$time.series[i,'seasonal'])
a<-table.element(a,m$time.series[i,'trend'])
a<-table.element(a,m$time.series[i,'remainder'])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
| | |
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