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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationFri, 20 May 2011 04:04:52 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/May/20/t130586409455k8fosbi2azc55.htm/, Retrieved Sun, 12 May 2024 18:42:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=122394, Retrieved Sun, 12 May 2024 18:42:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W92
Estimated Impact127

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Studio 100 maximu...] [2009-10-04 02:02:56] [6797cdeb32c30e9f935f3913baaaa461]
- RMPD  [Classical Decomposition] [decompositie niet...] [2010-01-14 18:52:42] [702b109ff2d8b1c8a15cc31390408a4f]
- R PD    [Classical Decomposition] [Sarah Geerts - de...] [2011-05-20 00:38:57] [38950998a23e7419c15b25db858fbdfd]
-   P       [Classical Decomposition] [Sarah Geerts - de...] [2011-05-20 03:58:10] [38950998a23e7419c15b25db858fbdfd]
-               [Classical Decomposition] [Sarah Geerts - de...] [2011-05-20 04:04:52] [0b99204a0dc37104849df68eb9128a1a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31.514
27.071
29.462
26.105
22.397
23.843
21.705
18.089
20.764
25.316
17.704
15.548
28.029
29.383
36.438
32.034
22.679
24.319
18.004
17.537
20.366
22.782
19.169
13.807
29.743
25.591
29.096
26.482
22.405
27.044
17.970
18.730
19.684
19.785
18.479
10.698
31.956
29.506
34.506
27.165
26.736
23.691
18.157
17.328
18.205
20.995
17.382
9.367
31.124
26.551
30.651
25.859
25.100
25.778
20.418
18.688
20.424
24.776
19.814
12.738
31.566
30.111
30.019
31.934
25.826
26.835
20.205
17.789
20.520
22.518
15.572
11.509
25.447
24.090
27.786
26.195
20.516
22.759
19.028
16.971
20.036
22.485
18.730
14.538
27.561
25.985
34.670
32.066
27.186
29.586
21.359
21.553
19.573
24.256
22.380
16.167
27.297
28.287

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=122394&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=122394&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=122394&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
131.514NANA1.2605490810558NA
227.071NANA1.17093781869857NA
329.462NANA1.36524305933105NA
426.105NANA1.23380943922305NA
522.397NANA1.04174825738425NA
623.843NANA1.09954886097311NA
721.70519.123115286042623.14795833333330.8261253545849471.13501381314382
818.08918.147567547569423.09908333333330.7856401609401260.996772705354816
920.76420.534863753588723.48608333333330.8743417734724621.0111584011056
1025.31622.588217009748324.02379166666670.9402436269496031.12076132388291
1117.70419.492214432575724.28258333333330.802724082730450.908260067692092
1215.54814.566337264020924.31416666666670.5990884846565811.06739255848509
1328.02930.479814165537424.17979166666671.26054908105580.919592220863719
1429.38328.10553257146424.00258333333331.170937818698571.04545252523815
1536.43832.715319430749923.9631.365243059331051.11379013361401
1632.03429.415045205610223.84083333333331.233809439223051.08903453236544
1722.67924.789745375957323.79629166666671.041748257384250.914854092127768
1824.31926.15254058556623.78479166666671.099548860973110.929890536654862
1918.00419.648290058330223.78366666666670.8261253545849470.91631383425994
2017.53718.617380363811623.69708333333330.7856401609401260.941969259761614
2120.36620.313728146714623.23316666666670.8743417734724621.00257322796228
2222.78221.339691003612622.69591666666670.9402436269496031.06758809188677
2319.16918.023697616893922.45316666666670.802724082730451.06354425198704
2413.80713.512615505570622.55529166666670.5990884846565811.02178590031723
2529.74328.573391249075622.66741666666671.26054908105581.04093349440845
2625.59126.598681966026322.71570833333331.170937818698570.962115342131863
2729.09631.041531440010122.7371.365243059331050.937324888632833
2826.48227.86399251432722.58370833333331.233809439223050.950402207665812
2922.40523.366500225483522.43008333333331.041748257384250.958851337761104
3027.04424.488923158913722.27179166666671.099548860973111.10433602263791
3117.9718.368449774629222.23445833333330.8261253545849470.978307925844696
3218.7317.668883544509922.48979166666670.7856401609401261.06005565959032
3319.68420.003482540760822.87833333333330.8743417734724620.984028654005132
3419.78521.749911462687223.13220833333330.9402436269496030.90965887534494
3518.47918.736483155521823.3411250.802724082730450.98625765820701
3610.69814.007812062179623.3818750.5990884846565810.763716699832379
3731.95629.30771361166923.24995833333331.26054908105581.09036141213269
3829.50627.164976768594423.19933333333331.170937818698571.086177994973
3934.50631.508842762193623.07929166666671.365243059331051.0951211461629
4027.16528.461618961450623.06808333333331.233809439223050.95444324642225
4126.73624.036040511739823.07279166666671.041748257384251.11232962795771
4223.69125.258424103451322.9716251.099548860973110.937944501326305
4318.15718.902987300935522.88150.8261253545849470.960536010046489
4417.32817.852657872156522.72370833333330.7856401609401260.970611778038118
4518.20519.620192965814822.43995833333330.8743417734724620.927870588822415
4620.99520.896836255319322.22491666666670.9402436269496031.00469754098091
4717.38217.742075251202622.10233333333330.802724082730450.979705009357446
489.36713.252511255148822.1211250.5990884846565810.706809435559677
4931.12428.113133265855122.30229166666671.26054908105581.1070982272119
5026.55126.291261999542122.45316666666671.170937818698571.00987925191504
5130.65130.857621822892722.60229166666671.365243059331050.993304026341415
5225.85928.195373166211622.85229166666671.233809439223050.917136292098753
5325.124.07601760111723.11116666666671.041748257384251.04253121989891
5425.77825.677718735769123.35295833333331.099548860973111.00390538058551
5520.41819.423721649442223.51183333333330.8261253545849471.05118886938881
5618.68818.602846020834223.67858333333330.7856401609401261.00457747051556
5720.42420.809844241345823.80058333333330.8743417734724620.98145857139194
5824.77622.591586216078224.0273750.9402436269496031.09669147456176
5919.81419.514824494239324.310750.802724082730451.01533067877956
6012.73814.608797660370924.38504166666670.5990884846565810.871940340070161
6131.56630.782871173774624.42020833333331.26054908105581.02544040878463
6230.11128.540292025731624.3738751.170937818698571.05503475482494
6330.01933.230584915392424.34041666666671.365243059331050.903354547517915
6431.93429.920290170972124.25033333333331.233809439223051.06730248328212
6525.82624.980602337945623.97951.041748257384251.03384216483724
6626.83526.115980585938623.75154166666671.099548860973111.02753177931402
6720.20519.368818735252123.4453750.8261253545849471.04317151583571
6817.78918.022225206892722.93954166666670.7856401609401260.987059022722481
6920.5219.756298835218722.5956250.8743417734724621.03865608488468
7022.51820.933074811774722.26345833333330.9402436269496031.07571392174712
7115.57217.501860069445621.80308333333330.802724082730450.88973400188391
7211.50912.827682633466721.4120.5990884846565810.897200244880837
7325.44726.714974243450821.1931251.26054908105580.952536946811333
7424.0924.718497352726821.111.170937818698570.9745738042342
7527.78628.746216546509721.055751.365243059331050.96659676778834
7626.19525.952204788250821.03420833333331.233809439223051.00935547533361
7720.51622.047994181054221.16441666666671.041748257384250.93051548506074
7822.75923.554764772445321.42220833333331.099548860973110.966216399096621
7919.02817.874461234477221.63650.8261253545849471.06453558238151
8016.97117.129737984064721.80354166666670.7856401609401260.990733192520959
8120.03619.383574223368822.16933333333330.8743417734724621.03365869313434
8222.48521.34427469129422.70079166666670.9402436269496031.05344408864693
8318.7318.641928947943523.22333333333330.802724082730451.00472435295202
8414.53814.249743961900123.78570833333330.5990884846565811.02022885736548
8527.56130.464057302024224.16729166666671.26054908105580.904705493649681
8625.98528.635674668879824.45533333333331.170937818698570.9074345305452
8734.6733.621783937018324.62695833333331.365243059331051.03117669380498
8832.06630.452216265457124.68145833333331.233809439223051.05299396669442
8927.18625.947171096088624.90733333333331.041748257384251.04774427621892
9029.58627.628684931422425.12729166666671.099548860973111.07084358424717
9121.35920.805278617426425.18416666666670.8261253545849471.02661446610524
9221.55319.852406696809525.26908333333330.7856401609401261.08566182071335
9319.573NANA0.874341773472462NA
9424.256NANA0.940243626949603NA
9522.38NANA0.80272408273045NA
9616.167NANA0.599088484656581NA
9727.297NANANANA
9828.287NANANANA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 31.514 & NA & NA & 1.2605490810558 & NA \tabularnewline
2 & 27.071 & NA & NA & 1.17093781869857 & NA \tabularnewline
3 & 29.462 & NA & NA & 1.36524305933105 & NA \tabularnewline
4 & 26.105 & NA & NA & 1.23380943922305 & NA \tabularnewline
5 & 22.397 & NA & NA & 1.04174825738425 & NA \tabularnewline
6 & 23.843 & NA & NA & 1.09954886097311 & NA \tabularnewline
7 & 21.705 & 19.1231152860426 & 23.1479583333333 & 0.826125354584947 & 1.13501381314382 \tabularnewline
8 & 18.089 & 18.1475675475694 & 23.0990833333333 & 0.785640160940126 & 0.996772705354816 \tabularnewline
9 & 20.764 & 20.5348637535887 & 23.4860833333333 & 0.874341773472462 & 1.0111584011056 \tabularnewline
10 & 25.316 & 22.5882170097483 & 24.0237916666667 & 0.940243626949603 & 1.12076132388291 \tabularnewline
11 & 17.704 & 19.4922144325757 & 24.2825833333333 & 0.80272408273045 & 0.908260067692092 \tabularnewline
12 & 15.548 & 14.5663372640209 & 24.3141666666667 & 0.599088484656581 & 1.06739255848509 \tabularnewline
13 & 28.029 & 30.4798141655374 & 24.1797916666667 & 1.2605490810558 & 0.919592220863719 \tabularnewline
14 & 29.383 & 28.105532571464 & 24.0025833333333 & 1.17093781869857 & 1.04545252523815 \tabularnewline
15 & 36.438 & 32.7153194307499 & 23.963 & 1.36524305933105 & 1.11379013361401 \tabularnewline
16 & 32.034 & 29.4150452056102 & 23.8408333333333 & 1.23380943922305 & 1.08903453236544 \tabularnewline
17 & 22.679 & 24.7897453759573 & 23.7962916666667 & 1.04174825738425 & 0.914854092127768 \tabularnewline
18 & 24.319 & 26.152540585566 & 23.7847916666667 & 1.09954886097311 & 0.929890536654862 \tabularnewline
19 & 18.004 & 19.6482900583302 & 23.7836666666667 & 0.826125354584947 & 0.91631383425994 \tabularnewline
20 & 17.537 & 18.6173803638116 & 23.6970833333333 & 0.785640160940126 & 0.941969259761614 \tabularnewline
21 & 20.366 & 20.3137281467146 & 23.2331666666667 & 0.874341773472462 & 1.00257322796228 \tabularnewline
22 & 22.782 & 21.3396910036126 & 22.6959166666667 & 0.940243626949603 & 1.06758809188677 \tabularnewline
23 & 19.169 & 18.0236976168939 & 22.4531666666667 & 0.80272408273045 & 1.06354425198704 \tabularnewline
24 & 13.807 & 13.5126155055706 & 22.5552916666667 & 0.599088484656581 & 1.02178590031723 \tabularnewline
25 & 29.743 & 28.5733912490756 & 22.6674166666667 & 1.2605490810558 & 1.04093349440845 \tabularnewline
26 & 25.591 & 26.5986819660263 & 22.7157083333333 & 1.17093781869857 & 0.962115342131863 \tabularnewline
27 & 29.096 & 31.0415314400101 & 22.737 & 1.36524305933105 & 0.937324888632833 \tabularnewline
28 & 26.482 & 27.863992514327 & 22.5837083333333 & 1.23380943922305 & 0.950402207665812 \tabularnewline
29 & 22.405 & 23.3665002254835 & 22.4300833333333 & 1.04174825738425 & 0.958851337761104 \tabularnewline
30 & 27.044 & 24.4889231589137 & 22.2717916666667 & 1.09954886097311 & 1.10433602263791 \tabularnewline
31 & 17.97 & 18.3684497746292 & 22.2344583333333 & 0.826125354584947 & 0.978307925844696 \tabularnewline
32 & 18.73 & 17.6688835445099 & 22.4897916666667 & 0.785640160940126 & 1.06005565959032 \tabularnewline
33 & 19.684 & 20.0034825407608 & 22.8783333333333 & 0.874341773472462 & 0.984028654005132 \tabularnewline
34 & 19.785 & 21.7499114626872 & 23.1322083333333 & 0.940243626949603 & 0.90965887534494 \tabularnewline
35 & 18.479 & 18.7364831555218 & 23.341125 & 0.80272408273045 & 0.98625765820701 \tabularnewline
36 & 10.698 & 14.0078120621796 & 23.381875 & 0.599088484656581 & 0.763716699832379 \tabularnewline
37 & 31.956 & 29.307713611669 & 23.2499583333333 & 1.2605490810558 & 1.09036141213269 \tabularnewline
38 & 29.506 & 27.1649767685944 & 23.1993333333333 & 1.17093781869857 & 1.086177994973 \tabularnewline
39 & 34.506 & 31.5088427621936 & 23.0792916666667 & 1.36524305933105 & 1.0951211461629 \tabularnewline
40 & 27.165 & 28.4616189614506 & 23.0680833333333 & 1.23380943922305 & 0.95444324642225 \tabularnewline
41 & 26.736 & 24.0360405117398 & 23.0727916666667 & 1.04174825738425 & 1.11232962795771 \tabularnewline
42 & 23.691 & 25.2584241034513 & 22.971625 & 1.09954886097311 & 0.937944501326305 \tabularnewline
43 & 18.157 & 18.9029873009355 & 22.8815 & 0.826125354584947 & 0.960536010046489 \tabularnewline
44 & 17.328 & 17.8526578721565 & 22.7237083333333 & 0.785640160940126 & 0.970611778038118 \tabularnewline
45 & 18.205 & 19.6201929658148 & 22.4399583333333 & 0.874341773472462 & 0.927870588822415 \tabularnewline
46 & 20.995 & 20.8968362553193 & 22.2249166666667 & 0.940243626949603 & 1.00469754098091 \tabularnewline
47 & 17.382 & 17.7420752512026 & 22.1023333333333 & 0.80272408273045 & 0.979705009357446 \tabularnewline
48 & 9.367 & 13.2525112551488 & 22.121125 & 0.599088484656581 & 0.706809435559677 \tabularnewline
49 & 31.124 & 28.1131332658551 & 22.3022916666667 & 1.2605490810558 & 1.1070982272119 \tabularnewline
50 & 26.551 & 26.2912619995421 & 22.4531666666667 & 1.17093781869857 & 1.00987925191504 \tabularnewline
51 & 30.651 & 30.8576218228927 & 22.6022916666667 & 1.36524305933105 & 0.993304026341415 \tabularnewline
52 & 25.859 & 28.1953731662116 & 22.8522916666667 & 1.23380943922305 & 0.917136292098753 \tabularnewline
53 & 25.1 & 24.076017601117 & 23.1111666666667 & 1.04174825738425 & 1.04253121989891 \tabularnewline
54 & 25.778 & 25.6777187357691 & 23.3529583333333 & 1.09954886097311 & 1.00390538058551 \tabularnewline
55 & 20.418 & 19.4237216494422 & 23.5118333333333 & 0.826125354584947 & 1.05118886938881 \tabularnewline
56 & 18.688 & 18.6028460208342 & 23.6785833333333 & 0.785640160940126 & 1.00457747051556 \tabularnewline
57 & 20.424 & 20.8098442413458 & 23.8005833333333 & 0.874341773472462 & 0.98145857139194 \tabularnewline
58 & 24.776 & 22.5915862160782 & 24.027375 & 0.940243626949603 & 1.09669147456176 \tabularnewline
59 & 19.814 & 19.5148244942393 & 24.31075 & 0.80272408273045 & 1.01533067877956 \tabularnewline
60 & 12.738 & 14.6087976603709 & 24.3850416666667 & 0.599088484656581 & 0.871940340070161 \tabularnewline
61 & 31.566 & 30.7828711737746 & 24.4202083333333 & 1.2605490810558 & 1.02544040878463 \tabularnewline
62 & 30.111 & 28.5402920257316 & 24.373875 & 1.17093781869857 & 1.05503475482494 \tabularnewline
63 & 30.019 & 33.2305849153924 & 24.3404166666667 & 1.36524305933105 & 0.903354547517915 \tabularnewline
64 & 31.934 & 29.9202901709721 & 24.2503333333333 & 1.23380943922305 & 1.06730248328212 \tabularnewline
65 & 25.826 & 24.9806023379456 & 23.9795 & 1.04174825738425 & 1.03384216483724 \tabularnewline
66 & 26.835 & 26.1159805859386 & 23.7515416666667 & 1.09954886097311 & 1.02753177931402 \tabularnewline
67 & 20.205 & 19.3688187352521 & 23.445375 & 0.826125354584947 & 1.04317151583571 \tabularnewline
68 & 17.789 & 18.0222252068927 & 22.9395416666667 & 0.785640160940126 & 0.987059022722481 \tabularnewline
69 & 20.52 & 19.7562988352187 & 22.595625 & 0.874341773472462 & 1.03865608488468 \tabularnewline
70 & 22.518 & 20.9330748117747 & 22.2634583333333 & 0.940243626949603 & 1.07571392174712 \tabularnewline
71 & 15.572 & 17.5018600694456 & 21.8030833333333 & 0.80272408273045 & 0.88973400188391 \tabularnewline
72 & 11.509 & 12.8276826334667 & 21.412 & 0.599088484656581 & 0.897200244880837 \tabularnewline
73 & 25.447 & 26.7149742434508 & 21.193125 & 1.2605490810558 & 0.952536946811333 \tabularnewline
74 & 24.09 & 24.7184973527268 & 21.11 & 1.17093781869857 & 0.9745738042342 \tabularnewline
75 & 27.786 & 28.7462165465097 & 21.05575 & 1.36524305933105 & 0.96659676778834 \tabularnewline
76 & 26.195 & 25.9522047882508 & 21.0342083333333 & 1.23380943922305 & 1.00935547533361 \tabularnewline
77 & 20.516 & 22.0479941810542 & 21.1644166666667 & 1.04174825738425 & 0.93051548506074 \tabularnewline
78 & 22.759 & 23.5547647724453 & 21.4222083333333 & 1.09954886097311 & 0.966216399096621 \tabularnewline
79 & 19.028 & 17.8744612344772 & 21.6365 & 0.826125354584947 & 1.06453558238151 \tabularnewline
80 & 16.971 & 17.1297379840647 & 21.8035416666667 & 0.785640160940126 & 0.990733192520959 \tabularnewline
81 & 20.036 & 19.3835742233688 & 22.1693333333333 & 0.874341773472462 & 1.03365869313434 \tabularnewline
82 & 22.485 & 21.344274691294 & 22.7007916666667 & 0.940243626949603 & 1.05344408864693 \tabularnewline
83 & 18.73 & 18.6419289479435 & 23.2233333333333 & 0.80272408273045 & 1.00472435295202 \tabularnewline
84 & 14.538 & 14.2497439619001 & 23.7857083333333 & 0.599088484656581 & 1.02022885736548 \tabularnewline
85 & 27.561 & 30.4640573020242 & 24.1672916666667 & 1.2605490810558 & 0.904705493649681 \tabularnewline
86 & 25.985 & 28.6356746688798 & 24.4553333333333 & 1.17093781869857 & 0.9074345305452 \tabularnewline
87 & 34.67 & 33.6217839370183 & 24.6269583333333 & 1.36524305933105 & 1.03117669380498 \tabularnewline
88 & 32.066 & 30.4522162654571 & 24.6814583333333 & 1.23380943922305 & 1.05299396669442 \tabularnewline
89 & 27.186 & 25.9471710960886 & 24.9073333333333 & 1.04174825738425 & 1.04774427621892 \tabularnewline
90 & 29.586 & 27.6286849314224 & 25.1272916666667 & 1.09954886097311 & 1.07084358424717 \tabularnewline
91 & 21.359 & 20.8052786174264 & 25.1841666666667 & 0.826125354584947 & 1.02661446610524 \tabularnewline
92 & 21.553 & 19.8524066968095 & 25.2690833333333 & 0.785640160940126 & 1.08566182071335 \tabularnewline
93 & 19.573 & NA & NA & 0.874341773472462 & NA \tabularnewline
94 & 24.256 & NA & NA & 0.940243626949603 & NA \tabularnewline
95 & 22.38 & NA & NA & 0.80272408273045 & NA \tabularnewline
96 & 16.167 & NA & NA & 0.599088484656581 & NA \tabularnewline
97 & 27.297 & NA & NA & NA & NA \tabularnewline
98 & 28.287 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=122394&T=1

[TABLE]
[ROW][C]Classical Decomposition by Moving Averages[/C][/ROW]
[ROW][C]t[/C][C]Observations[/C][C]Fit[/C][C]Trend[/C][C]Seasonal[/C][C]Random[/C][/ROW]
[ROW][C]1[/C][C]31.514[/C][C]NA[/C][C]NA[/C][C]1.2605490810558[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]27.071[/C][C]NA[/C][C]NA[/C][C]1.17093781869857[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]29.462[/C][C]NA[/C][C]NA[/C][C]1.36524305933105[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]26.105[/C][C]NA[/C][C]NA[/C][C]1.23380943922305[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]22.397[/C][C]NA[/C][C]NA[/C][C]1.04174825738425[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]23.843[/C][C]NA[/C][C]NA[/C][C]1.09954886097311[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]21.705[/C][C]19.1231152860426[/C][C]23.1479583333333[/C][C]0.826125354584947[/C][C]1.13501381314382[/C][/ROW]
[ROW][C]8[/C][C]18.089[/C][C]18.1475675475694[/C][C]23.0990833333333[/C][C]0.785640160940126[/C][C]0.996772705354816[/C][/ROW]
[ROW][C]9[/C][C]20.764[/C][C]20.5348637535887[/C][C]23.4860833333333[/C][C]0.874341773472462[/C][C]1.0111584011056[/C][/ROW]
[ROW][C]10[/C][C]25.316[/C][C]22.5882170097483[/C][C]24.0237916666667[/C][C]0.940243626949603[/C][C]1.12076132388291[/C][/ROW]
[ROW][C]11[/C][C]17.704[/C][C]19.4922144325757[/C][C]24.2825833333333[/C][C]0.80272408273045[/C][C]0.908260067692092[/C][/ROW]
[ROW][C]12[/C][C]15.548[/C][C]14.5663372640209[/C][C]24.3141666666667[/C][C]0.599088484656581[/C][C]1.06739255848509[/C][/ROW]
[ROW][C]13[/C][C]28.029[/C][C]30.4798141655374[/C][C]24.1797916666667[/C][C]1.2605490810558[/C][C]0.919592220863719[/C][/ROW]
[ROW][C]14[/C][C]29.383[/C][C]28.105532571464[/C][C]24.0025833333333[/C][C]1.17093781869857[/C][C]1.04545252523815[/C][/ROW]
[ROW][C]15[/C][C]36.438[/C][C]32.7153194307499[/C][C]23.963[/C][C]1.36524305933105[/C][C]1.11379013361401[/C][/ROW]
[ROW][C]16[/C][C]32.034[/C][C]29.4150452056102[/C][C]23.8408333333333[/C][C]1.23380943922305[/C][C]1.08903453236544[/C][/ROW]
[ROW][C]17[/C][C]22.679[/C][C]24.7897453759573[/C][C]23.7962916666667[/C][C]1.04174825738425[/C][C]0.914854092127768[/C][/ROW]
[ROW][C]18[/C][C]24.319[/C][C]26.152540585566[/C][C]23.7847916666667[/C][C]1.09954886097311[/C][C]0.929890536654862[/C][/ROW]
[ROW][C]19[/C][C]18.004[/C][C]19.6482900583302[/C][C]23.7836666666667[/C][C]0.826125354584947[/C][C]0.91631383425994[/C][/ROW]
[ROW][C]20[/C][C]17.537[/C][C]18.6173803638116[/C][C]23.6970833333333[/C][C]0.785640160940126[/C][C]0.941969259761614[/C][/ROW]
[ROW][C]21[/C][C]20.366[/C][C]20.3137281467146[/C][C]23.2331666666667[/C][C]0.874341773472462[/C][C]1.00257322796228[/C][/ROW]
[ROW][C]22[/C][C]22.782[/C][C]21.3396910036126[/C][C]22.6959166666667[/C][C]0.940243626949603[/C][C]1.06758809188677[/C][/ROW]
[ROW][C]23[/C][C]19.169[/C][C]18.0236976168939[/C][C]22.4531666666667[/C][C]0.80272408273045[/C][C]1.06354425198704[/C][/ROW]
[ROW][C]24[/C][C]13.807[/C][C]13.5126155055706[/C][C]22.5552916666667[/C][C]0.599088484656581[/C][C]1.02178590031723[/C][/ROW]
[ROW][C]25[/C][C]29.743[/C][C]28.5733912490756[/C][C]22.6674166666667[/C][C]1.2605490810558[/C][C]1.04093349440845[/C][/ROW]
[ROW][C]26[/C][C]25.591[/C][C]26.5986819660263[/C][C]22.7157083333333[/C][C]1.17093781869857[/C][C]0.962115342131863[/C][/ROW]
[ROW][C]27[/C][C]29.096[/C][C]31.0415314400101[/C][C]22.737[/C][C]1.36524305933105[/C][C]0.937324888632833[/C][/ROW]
[ROW][C]28[/C][C]26.482[/C][C]27.863992514327[/C][C]22.5837083333333[/C][C]1.23380943922305[/C][C]0.950402207665812[/C][/ROW]
[ROW][C]29[/C][C]22.405[/C][C]23.3665002254835[/C][C]22.4300833333333[/C][C]1.04174825738425[/C][C]0.958851337761104[/C][/ROW]
[ROW][C]30[/C][C]27.044[/C][C]24.4889231589137[/C][C]22.2717916666667[/C][C]1.09954886097311[/C][C]1.10433602263791[/C][/ROW]
[ROW][C]31[/C][C]17.97[/C][C]18.3684497746292[/C][C]22.2344583333333[/C][C]0.826125354584947[/C][C]0.978307925844696[/C][/ROW]
[ROW][C]32[/C][C]18.73[/C][C]17.6688835445099[/C][C]22.4897916666667[/C][C]0.785640160940126[/C][C]1.06005565959032[/C][/ROW]
[ROW][C]33[/C][C]19.684[/C][C]20.0034825407608[/C][C]22.8783333333333[/C][C]0.874341773472462[/C][C]0.984028654005132[/C][/ROW]
[ROW][C]34[/C][C]19.785[/C][C]21.7499114626872[/C][C]23.1322083333333[/C][C]0.940243626949603[/C][C]0.90965887534494[/C][/ROW]
[ROW][C]35[/C][C]18.479[/C][C]18.7364831555218[/C][C]23.341125[/C][C]0.80272408273045[/C][C]0.98625765820701[/C][/ROW]
[ROW][C]36[/C][C]10.698[/C][C]14.0078120621796[/C][C]23.381875[/C][C]0.599088484656581[/C][C]0.763716699832379[/C][/ROW]
[ROW][C]37[/C][C]31.956[/C][C]29.307713611669[/C][C]23.2499583333333[/C][C]1.2605490810558[/C][C]1.09036141213269[/C][/ROW]
[ROW][C]38[/C][C]29.506[/C][C]27.1649767685944[/C][C]23.1993333333333[/C][C]1.17093781869857[/C][C]1.086177994973[/C][/ROW]
[ROW][C]39[/C][C]34.506[/C][C]31.5088427621936[/C][C]23.0792916666667[/C][C]1.36524305933105[/C][C]1.0951211461629[/C][/ROW]
[ROW][C]40[/C][C]27.165[/C][C]28.4616189614506[/C][C]23.0680833333333[/C][C]1.23380943922305[/C][C]0.95444324642225[/C][/ROW]
[ROW][C]41[/C][C]26.736[/C][C]24.0360405117398[/C][C]23.0727916666667[/C][C]1.04174825738425[/C][C]1.11232962795771[/C][/ROW]
[ROW][C]42[/C][C]23.691[/C][C]25.2584241034513[/C][C]22.971625[/C][C]1.09954886097311[/C][C]0.937944501326305[/C][/ROW]
[ROW][C]43[/C][C]18.157[/C][C]18.9029873009355[/C][C]22.8815[/C][C]0.826125354584947[/C][C]0.960536010046489[/C][/ROW]
[ROW][C]44[/C][C]17.328[/C][C]17.8526578721565[/C][C]22.7237083333333[/C][C]0.785640160940126[/C][C]0.970611778038118[/C][/ROW]
[ROW][C]45[/C][C]18.205[/C][C]19.6201929658148[/C][C]22.4399583333333[/C][C]0.874341773472462[/C][C]0.927870588822415[/C][/ROW]
[ROW][C]46[/C][C]20.995[/C][C]20.8968362553193[/C][C]22.2249166666667[/C][C]0.940243626949603[/C][C]1.00469754098091[/C][/ROW]
[ROW][C]47[/C][C]17.382[/C][C]17.7420752512026[/C][C]22.1023333333333[/C][C]0.80272408273045[/C][C]0.979705009357446[/C][/ROW]
[ROW][C]48[/C][C]9.367[/C][C]13.2525112551488[/C][C]22.121125[/C][C]0.599088484656581[/C][C]0.706809435559677[/C][/ROW]
[ROW][C]49[/C][C]31.124[/C][C]28.1131332658551[/C][C]22.3022916666667[/C][C]1.2605490810558[/C][C]1.1070982272119[/C][/ROW]
[ROW][C]50[/C][C]26.551[/C][C]26.2912619995421[/C][C]22.4531666666667[/C][C]1.17093781869857[/C][C]1.00987925191504[/C][/ROW]
[ROW][C]51[/C][C]30.651[/C][C]30.8576218228927[/C][C]22.6022916666667[/C][C]1.36524305933105[/C][C]0.993304026341415[/C][/ROW]
[ROW][C]52[/C][C]25.859[/C][C]28.1953731662116[/C][C]22.8522916666667[/C][C]1.23380943922305[/C][C]0.917136292098753[/C][/ROW]
[ROW][C]53[/C][C]25.1[/C][C]24.076017601117[/C][C]23.1111666666667[/C][C]1.04174825738425[/C][C]1.04253121989891[/C][/ROW]
[ROW][C]54[/C][C]25.778[/C][C]25.6777187357691[/C][C]23.3529583333333[/C][C]1.09954886097311[/C][C]1.00390538058551[/C][/ROW]
[ROW][C]55[/C][C]20.418[/C][C]19.4237216494422[/C][C]23.5118333333333[/C][C]0.826125354584947[/C][C]1.05118886938881[/C][/ROW]
[ROW][C]56[/C][C]18.688[/C][C]18.6028460208342[/C][C]23.6785833333333[/C][C]0.785640160940126[/C][C]1.00457747051556[/C][/ROW]
[ROW][C]57[/C][C]20.424[/C][C]20.8098442413458[/C][C]23.8005833333333[/C][C]0.874341773472462[/C][C]0.98145857139194[/C][/ROW]
[ROW][C]58[/C][C]24.776[/C][C]22.5915862160782[/C][C]24.027375[/C][C]0.940243626949603[/C][C]1.09669147456176[/C][/ROW]
[ROW][C]59[/C][C]19.814[/C][C]19.5148244942393[/C][C]24.31075[/C][C]0.80272408273045[/C][C]1.01533067877956[/C][/ROW]
[ROW][C]60[/C][C]12.738[/C][C]14.6087976603709[/C][C]24.3850416666667[/C][C]0.599088484656581[/C][C]0.871940340070161[/C][/ROW]
[ROW][C]61[/C][C]31.566[/C][C]30.7828711737746[/C][C]24.4202083333333[/C][C]1.2605490810558[/C][C]1.02544040878463[/C][/ROW]
[ROW][C]62[/C][C]30.111[/C][C]28.5402920257316[/C][C]24.373875[/C][C]1.17093781869857[/C][C]1.05503475482494[/C][/ROW]
[ROW][C]63[/C][C]30.019[/C][C]33.2305849153924[/C][C]24.3404166666667[/C][C]1.36524305933105[/C][C]0.903354547517915[/C][/ROW]
[ROW][C]64[/C][C]31.934[/C][C]29.9202901709721[/C][C]24.2503333333333[/C][C]1.23380943922305[/C][C]1.06730248328212[/C][/ROW]
[ROW][C]65[/C][C]25.826[/C][C]24.9806023379456[/C][C]23.9795[/C][C]1.04174825738425[/C][C]1.03384216483724[/C][/ROW]
[ROW][C]66[/C][C]26.835[/C][C]26.1159805859386[/C][C]23.7515416666667[/C][C]1.09954886097311[/C][C]1.02753177931402[/C][/ROW]
[ROW][C]67[/C][C]20.205[/C][C]19.3688187352521[/C][C]23.445375[/C][C]0.826125354584947[/C][C]1.04317151583571[/C][/ROW]
[ROW][C]68[/C][C]17.789[/C][C]18.0222252068927[/C][C]22.9395416666667[/C][C]0.785640160940126[/C][C]0.987059022722481[/C][/ROW]
[ROW][C]69[/C][C]20.52[/C][C]19.7562988352187[/C][C]22.595625[/C][C]0.874341773472462[/C][C]1.03865608488468[/C][/ROW]
[ROW][C]70[/C][C]22.518[/C][C]20.9330748117747[/C][C]22.2634583333333[/C][C]0.940243626949603[/C][C]1.07571392174712[/C][/ROW]
[ROW][C]71[/C][C]15.572[/C][C]17.5018600694456[/C][C]21.8030833333333[/C][C]0.80272408273045[/C][C]0.88973400188391[/C][/ROW]
[ROW][C]72[/C][C]11.509[/C][C]12.8276826334667[/C][C]21.412[/C][C]0.599088484656581[/C][C]0.897200244880837[/C][/ROW]
[ROW][C]73[/C][C]25.447[/C][C]26.7149742434508[/C][C]21.193125[/C][C]1.2605490810558[/C][C]0.952536946811333[/C][/ROW]
[ROW][C]74[/C][C]24.09[/C][C]24.7184973527268[/C][C]21.11[/C][C]1.17093781869857[/C][C]0.9745738042342[/C][/ROW]
[ROW][C]75[/C][C]27.786[/C][C]28.7462165465097[/C][C]21.05575[/C][C]1.36524305933105[/C][C]0.96659676778834[/C][/ROW]
[ROW][C]76[/C][C]26.195[/C][C]25.9522047882508[/C][C]21.0342083333333[/C][C]1.23380943922305[/C][C]1.00935547533361[/C][/ROW]
[ROW][C]77[/C][C]20.516[/C][C]22.0479941810542[/C][C]21.1644166666667[/C][C]1.04174825738425[/C][C]0.93051548506074[/C][/ROW]
[ROW][C]78[/C][C]22.759[/C][C]23.5547647724453[/C][C]21.4222083333333[/C][C]1.09954886097311[/C][C]0.966216399096621[/C][/ROW]
[ROW][C]79[/C][C]19.028[/C][C]17.8744612344772[/C][C]21.6365[/C][C]0.826125354584947[/C][C]1.06453558238151[/C][/ROW]
[ROW][C]80[/C][C]16.971[/C][C]17.1297379840647[/C][C]21.8035416666667[/C][C]0.785640160940126[/C][C]0.990733192520959[/C][/ROW]
[ROW][C]81[/C][C]20.036[/C][C]19.3835742233688[/C][C]22.1693333333333[/C][C]0.874341773472462[/C][C]1.03365869313434[/C][/ROW]
[ROW][C]82[/C][C]22.485[/C][C]21.344274691294[/C][C]22.7007916666667[/C][C]0.940243626949603[/C][C]1.05344408864693[/C][/ROW]
[ROW][C]83[/C][C]18.73[/C][C]18.6419289479435[/C][C]23.2233333333333[/C][C]0.80272408273045[/C][C]1.00472435295202[/C][/ROW]
[ROW][C]84[/C][C]14.538[/C][C]14.2497439619001[/C][C]23.7857083333333[/C][C]0.599088484656581[/C][C]1.02022885736548[/C][/ROW]
[ROW][C]85[/C][C]27.561[/C][C]30.4640573020242[/C][C]24.1672916666667[/C][C]1.2605490810558[/C][C]0.904705493649681[/C][/ROW]
[ROW][C]86[/C][C]25.985[/C][C]28.6356746688798[/C][C]24.4553333333333[/C][C]1.17093781869857[/C][C]0.9074345305452[/C][/ROW]
[ROW][C]87[/C][C]34.67[/C][C]33.6217839370183[/C][C]24.6269583333333[/C][C]1.36524305933105[/C][C]1.03117669380498[/C][/ROW]
[ROW][C]88[/C][C]32.066[/C][C]30.4522162654571[/C][C]24.6814583333333[/C][C]1.23380943922305[/C][C]1.05299396669442[/C][/ROW]
[ROW][C]89[/C][C]27.186[/C][C]25.9471710960886[/C][C]24.9073333333333[/C][C]1.04174825738425[/C][C]1.04774427621892[/C][/ROW]
[ROW][C]90[/C][C]29.586[/C][C]27.6286849314224[/C][C]25.1272916666667[/C][C]1.09954886097311[/C][C]1.07084358424717[/C][/ROW]
[ROW][C]91[/C][C]21.359[/C][C]20.8052786174264[/C][C]25.1841666666667[/C][C]0.826125354584947[/C][C]1.02661446610524[/C][/ROW]
[ROW][C]92[/C][C]21.553[/C][C]19.8524066968095[/C][C]25.2690833333333[/C][C]0.785640160940126[/C][C]1.08566182071335[/C][/ROW]
[ROW][C]93[/C][C]19.573[/C][C]NA[/C][C]NA[/C][C]0.874341773472462[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]24.256[/C][C]NA[/C][C]NA[/C][C]0.940243626949603[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]22.38[/C][C]NA[/C][C]NA[/C][C]0.80272408273045[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]16.167[/C][C]NA[/C][C]NA[/C][C]0.599088484656581[/C][C]NA[/C][/ROW]
[ROW][C]97[/C][C]27.297[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]98[/C][C]28.287[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=122394&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=122394&T=1

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
131.514NANA1.2605490810558NA
227.071NANA1.17093781869857NA
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Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')