Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_structuraltimeseries.wasp

Title produced by software

Structural Time Series Models

Date of computation

Fri, 10 Dec 2010 19:01:52 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/10/t1292007636whb8xjyuct42or4.htm/, Retrieved Wed, 19 Nov 2025 06:01:53 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107896, Retrieved Wed, 19 Nov 2025 06:01:53 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

508

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD  [Structural Time Series Models] [HPC Retail Sales] [2008-03-06 16:52:55] [74be16979710d4c4e7c6647856088456]
- R  D    [Structural Time Series Models] [HPC Retail Sales] [2008-03-08 11:33:35] [74be16979710d4c4e7c6647856088456]
-  M D      [Structural Time Series Models] [WS5] [2010-12-07 13:51:52] [fa854ea294f510d944d2dbf77761bfce]
-             [Structural Time Series Models] [ws5q5] [2010-12-08 19:32:28] [df61ce38492c371f14c407a12b3bb2eb]
-                 [Structural Time Series Models] [] [2010-12-10 19:01:52] [a7b2a0c11f64eef3aa1d49ba29ffb331] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107896&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107896&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107896&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Structural Time Series Model
t	Observed	Level	Slope	Seasonal	Stand. Residuals
1	13328	13328	0	0	0
2	12873	13200.6096367379	3.82153253273492	-327.609636737904	-1.30910990853883
3	14000	13460.2526776262	21.9988247230845	539.747322373839	1.31766721298443
4	13477	13535.9869219786	26.277874817128	-58.986921978551	0.311902103707869
5	14237	13789.3806643716	42.1622676227788	447.619335628361	1.58143733562182
6	13674	13834.078592661	42.3048950847059	-160.078592660967	0.0192400330340184
7	13529	13756.1942529229	36.7695972831542	-227.194252922852	-0.93687537822856
8	14058	13824.1081499383	38.0414014924584	233.891850061721	0.243932471769008
9	12975	13582.4984025658	27.0307066217839	-607.498402565783	-2.18563596938166
10	14326	13729.746989131	31.8414502980676	596.253010869001	0.935635721837499
11	14008	13869.9949542679	36.3416485498737	138.005045732104	0.839892802844782
12	16193	14657.7514190394	68.755213093252	1535.24858096058	5.79778378158836
13	14483	14940.9687151515	73.377380178188	-457.968715151515	1.70441403489681
14	14011	14973.3054700698	72.3109666910293	-962.30547006981	-0.329020889326419
15	15057	14910.2042358499	66.7406429671612	146.795764150072	-1.01366963348165
16	14884	14966.7665877889	66.2096087984396	-82.7665877888551	-0.0721892393503844
17	15414	14983.3851640481	63.3971195434108	430.614835951888	-0.352185117886043
18	14440	14841.9017303636	51.7598613125289	-401.901730363601	-1.49386943826633
19	14900	14877.5725168364	50.8781922105864	22.4274831636239	-0.11989603799183
20	15074	14855.2830675441	47.0434594142997	218.716932455922	-0.550705464864121
21	14442	14996.1390143459	51.7712115307658	-554.139014345865	0.707319375157739
22	15307	15086.8745039745	53.6732623549166	220.125496025466	0.293174801681171
23	14938	15227.868197767	57.8172251877867	-289.868197767031	0.655220534435506
24	17193	15465.1885465236	66.1192207811782	1727.81145347643	1.34613437870652
25	15528	15699.3575437439	73.7857505155111	-171.357543743928	1.2638271906867
26	14765	15768.8974983431	73.58717256472	-1003.89749834307	-0.0318833447756195
27	15838	15770.2255891402	70.0234115495705	67.7744108598067	-0.535995493635427
28	15723	15767.7944221004	66.2590562552327	-44.7944221004366	-0.529671473757331
29	16150	15725.5501465704	60.4288018101536	424.449853429631	-0.789148680241657
30	15486	15780.1555510678	60.1118070078565	-294.15555106783	-0.0425744359084186
31	15986	15877.2291906558	62.1179397652223	108.770809344151	0.272498047473189
32	15983	15928.5484144626	61.5390144498325	54.4515855374259	-0.080045018674125
33	15692	16100.1922535446	67.3476244206017	-408.192253544631	0.816983219827962
34	16490	16281.8364701987	73.282935704625	208.163529801304	0.846801007906598
35	15686	16325.1017793724	71.7437757984775	-639.101779372384	-0.222074109652116
36	18897	16660.8629063613	85.1838145510168	2236.13709363873	1.95349648855418
37	16316	16722.8211862746	84.001356143972	-406.821186274629	-0.172023175770423
38	15636	16713.5770989985	79.2168401989263	-1077.57709899848	-0.690276606771244
39	17163	16831.7757044096	81.2428623161003	331.224295590397	0.28759250194718
40	16534	16796.0361420303	75.0810464605809	-262.036142030262	-0.859207161801417
41	16518	16595.7633516271	60.4295338298941	-77.7633516271351	-2.01772615679465
42	16375	16599.6935557236	57.4074952253095	-224.693555723638	-0.414444665990574
43	16290	16513.5740551263	49.7271504264102	-223.574055126299	-1.05580417219991
44	16352	16484.4587739234	45.5213984997473	-132.458773923353	-0.581262823896788
45	15943	16491.1322908291	43.4596829296471	-548.132290829068	-0.286538996885463
46	16362	16429.6652298811	37.9215767276276	-67.66522988113	-0.773355953674206
47	16393	16668.1804021539	48.4615484439636	-275.180402153916	1.47741619524434
48	19051	16787.4624854918	52.173454206323	2263.53751450821	0.521645127149997
49	16747	16927.7722046481	56.7927429729416	-180.772204648087	0.649524986414088
50	16320	17113.1041876349	63.5443813423608	-793.104187634924	0.947300972692673
51	17910	17270.6208486085	68.4980147386156	639.379151391548	0.691871245273978
52	16961	17247.8655189121	63.6694078159669	-286.865518912085	-0.670858742767283
53	17480	17325.0681991968	64.3876898548985	154.931800803166	0.0993984412830568
54	17049	17312.0279432699	60.2710376907534	-263.027943269908	-0.568791384738454
55	16879	17242.3234089413	53.3581125867458	-363.323408941296	-0.955697432450974
56	17473	17351.4635822855	56.3226245407205	121.536417714526	0.410503251553979
57	16998	17478.6722031745	60.0841652725418	-480.672203174544	0.521762647600326
58	17307	17568.3845250282	61.6536534916854	-261.384525028165	0.218014324565491
59	17418	17693.2392677716	64.9966171301543	-275.239267771586	0.464905000473736
60	20169	17860.1595332552	70.3829952876409	2308.84046674483	0.749746310477573
61	17871	18029.5456634985	75.6143967610804	-158.54566349848	0.72843192824773
62	17226	18110.4404977468	75.8935798972956	-884.440497746753	0.0388555961946465
63	19062	18234.4704221827	78.4411890649875	827.529577817334	0.354112665061781
64	17804	18242.0994628127	74.6892922338283	-438.09946281268	-0.520666569347948
65	19100	18466.8235865696	82.6460233575957	633.176413430385	1.10276756279848
66	18522	18650.0230083162	87.9815990619847	-128.023008316197	0.73907938964685
67	18060	18689.5261419395	85.4088319075327	-629.526141939464	-0.35643001941373
68	18869	18776.596308097	85.4969823981948	92.4036919029653	0.0122184598281389
69	18127	18804.5211916295	82.44351504601	-677.521191629486	-0.423459023475086
70	18871	18980.9136859417	87.4236961553463	-109.913685941735	0.690942602132287
71	18890	19161.2269928066	92.3453763200119	-271.226992806564	0.683055885564242
72	21263	19208.3405796499	89.9495440092122	2054.65942035008	-0.332602323904371
73	19547	19420.0267585594	96.3971823762235	126.973241440626	0.895246517153252
74	18450	19505.2337631969	95.804423108994	-1055.23376319688	-0.0822976503927405
75	20254	19548.7938303089	93.0361720161932	705.206169691117	-0.384204563290023
76	19240	19679.9063164715	95.0543701994513	-439.906316471472	0.279966476091825
77	20216	19740.4702891875	93.2257284919133	475.529710812537	-0.253563785388247
78	19420	19722.5544704767	87.3320878930281	-302.554470476721	-0.81706657661076
79	19415	19854.6263278444	89.7046991187274	-439.626327844352	0.32893991248899
80	20018	19957.1134722317	90.3825388367774	60.8865277682608	0.0939909063552975
81	18652	19856.4046774925	80.2503853612168	-1204.40467749255	-1.40517489469044
82	19978	19952.8814662505	81.110616415146	25.1185337494952	0.11931478439592
83	19509	19964.5283930735	77.428599412836	-455.528393073551	-0.510745644662623
84	21971	20006.5733394851	75.5532361442081	1964.42666051494	-0.260161641720041

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 13328 & 13328 & 0 & 0 & 0 \tabularnewline
2 & 12873 & 13200.6096367379 & 3.82153253273492 & -327.609636737904 & -1.30910990853883 \tabularnewline
3 & 14000 & 13460.2526776262 & 21.9988247230845 & 539.747322373839 & 1.31766721298443 \tabularnewline
4 & 13477 & 13535.9869219786 & 26.277874817128 & -58.986921978551 & 0.311902103707869 \tabularnewline
5 & 14237 & 13789.3806643716 & 42.1622676227788 & 447.619335628361 & 1.58143733562182 \tabularnewline
6 & 13674 & 13834.078592661 & 42.3048950847059 & -160.078592660967 & 0.0192400330340184 \tabularnewline
7 & 13529 & 13756.1942529229 & 36.7695972831542 & -227.194252922852 & -0.93687537822856 \tabularnewline
8 & 14058 & 13824.1081499383 & 38.0414014924584 & 233.891850061721 & 0.243932471769008 \tabularnewline
9 & 12975 & 13582.4984025658 & 27.0307066217839 & -607.498402565783 & -2.18563596938166 \tabularnewline
10 & 14326 & 13729.746989131 & 31.8414502980676 & 596.253010869001 & 0.935635721837499 \tabularnewline
11 & 14008 & 13869.9949542679 & 36.3416485498737 & 138.005045732104 & 0.839892802844782 \tabularnewline
12 & 16193 & 14657.7514190394 & 68.755213093252 & 1535.24858096058 & 5.79778378158836 \tabularnewline
13 & 14483 & 14940.9687151515 & 73.377380178188 & -457.968715151515 & 1.70441403489681 \tabularnewline
14 & 14011 & 14973.3054700698 & 72.3109666910293 & -962.30547006981 & -0.329020889326419 \tabularnewline
15 & 15057 & 14910.2042358499 & 66.7406429671612 & 146.795764150072 & -1.01366963348165 \tabularnewline
16 & 14884 & 14966.7665877889 & 66.2096087984396 & -82.7665877888551 & -0.0721892393503844 \tabularnewline
17 & 15414 & 14983.3851640481 & 63.3971195434108 & 430.614835951888 & -0.352185117886043 \tabularnewline
18 & 14440 & 14841.9017303636 & 51.7598613125289 & -401.901730363601 & -1.49386943826633 \tabularnewline
19 & 14900 & 14877.5725168364 & 50.8781922105864 & 22.4274831636239 & -0.11989603799183 \tabularnewline
20 & 15074 & 14855.2830675441 & 47.0434594142997 & 218.716932455922 & -0.550705464864121 \tabularnewline
21 & 14442 & 14996.1390143459 & 51.7712115307658 & -554.139014345865 & 0.707319375157739 \tabularnewline
22 & 15307 & 15086.8745039745 & 53.6732623549166 & 220.125496025466 & 0.293174801681171 \tabularnewline
23 & 14938 & 15227.868197767 & 57.8172251877867 & -289.868197767031 & 0.655220534435506 \tabularnewline
24 & 17193 & 15465.1885465236 & 66.1192207811782 & 1727.81145347643 & 1.34613437870652 \tabularnewline
25 & 15528 & 15699.3575437439 & 73.7857505155111 & -171.357543743928 & 1.2638271906867 \tabularnewline
26 & 14765 & 15768.8974983431 & 73.58717256472 & -1003.89749834307 & -0.0318833447756195 \tabularnewline
27 & 15838 & 15770.2255891402 & 70.0234115495705 & 67.7744108598067 & -0.535995493635427 \tabularnewline
28 & 15723 & 15767.7944221004 & 66.2590562552327 & -44.7944221004366 & -0.529671473757331 \tabularnewline
29 & 16150 & 15725.5501465704 & 60.4288018101536 & 424.449853429631 & -0.789148680241657 \tabularnewline
30 & 15486 & 15780.1555510678 & 60.1118070078565 & -294.15555106783 & -0.0425744359084186 \tabularnewline
31 & 15986 & 15877.2291906558 & 62.1179397652223 & 108.770809344151 & 0.272498047473189 \tabularnewline
32 & 15983 & 15928.5484144626 & 61.5390144498325 & 54.4515855374259 & -0.080045018674125 \tabularnewline
33 & 15692 & 16100.1922535446 & 67.3476244206017 & -408.192253544631 & 0.816983219827962 \tabularnewline
34 & 16490 & 16281.8364701987 & 73.282935704625 & 208.163529801304 & 0.846801007906598 \tabularnewline
35 & 15686 & 16325.1017793724 & 71.7437757984775 & -639.101779372384 & -0.222074109652116 \tabularnewline
36 & 18897 & 16660.8629063613 & 85.1838145510168 & 2236.13709363873 & 1.95349648855418 \tabularnewline
37 & 16316 & 16722.8211862746 & 84.001356143972 & -406.821186274629 & -0.172023175770423 \tabularnewline
38 & 15636 & 16713.5770989985 & 79.2168401989263 & -1077.57709899848 & -0.690276606771244 \tabularnewline
39 & 17163 & 16831.7757044096 & 81.2428623161003 & 331.224295590397 & 0.28759250194718 \tabularnewline
40 & 16534 & 16796.0361420303 & 75.0810464605809 & -262.036142030262 & -0.859207161801417 \tabularnewline
41 & 16518 & 16595.7633516271 & 60.4295338298941 & -77.7633516271351 & -2.01772615679465 \tabularnewline
42 & 16375 & 16599.6935557236 & 57.4074952253095 & -224.693555723638 & -0.414444665990574 \tabularnewline
43 & 16290 & 16513.5740551263 & 49.7271504264102 & -223.574055126299 & -1.05580417219991 \tabularnewline
44 & 16352 & 16484.4587739234 & 45.5213984997473 & -132.458773923353 & -0.581262823896788 \tabularnewline
45 & 15943 & 16491.1322908291 & 43.4596829296471 & -548.132290829068 & -0.286538996885463 \tabularnewline
46 & 16362 & 16429.6652298811 & 37.9215767276276 & -67.66522988113 & -0.773355953674206 \tabularnewline
47 & 16393 & 16668.1804021539 & 48.4615484439636 & -275.180402153916 & 1.47741619524434 \tabularnewline
48 & 19051 & 16787.4624854918 & 52.173454206323 & 2263.53751450821 & 0.521645127149997 \tabularnewline
49 & 16747 & 16927.7722046481 & 56.7927429729416 & -180.772204648087 & 0.649524986414088 \tabularnewline
50 & 16320 & 17113.1041876349 & 63.5443813423608 & -793.104187634924 & 0.947300972692673 \tabularnewline
51 & 17910 & 17270.6208486085 & 68.4980147386156 & 639.379151391548 & 0.691871245273978 \tabularnewline
52 & 16961 & 17247.8655189121 & 63.6694078159669 & -286.865518912085 & -0.670858742767283 \tabularnewline
53 & 17480 & 17325.0681991968 & 64.3876898548985 & 154.931800803166 & 0.0993984412830568 \tabularnewline
54 & 17049 & 17312.0279432699 & 60.2710376907534 & -263.027943269908 & -0.568791384738454 \tabularnewline
55 & 16879 & 17242.3234089413 & 53.3581125867458 & -363.323408941296 & -0.955697432450974 \tabularnewline
56 & 17473 & 17351.4635822855 & 56.3226245407205 & 121.536417714526 & 0.410503251553979 \tabularnewline
57 & 16998 & 17478.6722031745 & 60.0841652725418 & -480.672203174544 & 0.521762647600326 \tabularnewline
58 & 17307 & 17568.3845250282 & 61.6536534916854 & -261.384525028165 & 0.218014324565491 \tabularnewline
59 & 17418 & 17693.2392677716 & 64.9966171301543 & -275.239267771586 & 0.464905000473736 \tabularnewline
60 & 20169 & 17860.1595332552 & 70.3829952876409 & 2308.84046674483 & 0.749746310477573 \tabularnewline
61 & 17871 & 18029.5456634985 & 75.6143967610804 & -158.54566349848 & 0.72843192824773 \tabularnewline
62 & 17226 & 18110.4404977468 & 75.8935798972956 & -884.440497746753 & 0.0388555961946465 \tabularnewline
63 & 19062 & 18234.4704221827 & 78.4411890649875 & 827.529577817334 & 0.354112665061781 \tabularnewline
64 & 17804 & 18242.0994628127 & 74.6892922338283 & -438.09946281268 & -0.520666569347948 \tabularnewline
65 & 19100 & 18466.8235865696 & 82.6460233575957 & 633.176413430385 & 1.10276756279848 \tabularnewline
66 & 18522 & 18650.0230083162 & 87.9815990619847 & -128.023008316197 & 0.73907938964685 \tabularnewline
67 & 18060 & 18689.5261419395 & 85.4088319075327 & -629.526141939464 & -0.35643001941373 \tabularnewline
68 & 18869 & 18776.596308097 & 85.4969823981948 & 92.4036919029653 & 0.0122184598281389 \tabularnewline
69 & 18127 & 18804.5211916295 & 82.44351504601 & -677.521191629486 & -0.423459023475086 \tabularnewline
70 & 18871 & 18980.9136859417 & 87.4236961553463 & -109.913685941735 & 0.690942602132287 \tabularnewline
71 & 18890 & 19161.2269928066 & 92.3453763200119 & -271.226992806564 & 0.683055885564242 \tabularnewline
72 & 21263 & 19208.3405796499 & 89.9495440092122 & 2054.65942035008 & -0.332602323904371 \tabularnewline
73 & 19547 & 19420.0267585594 & 96.3971823762235 & 126.973241440626 & 0.895246517153252 \tabularnewline
74 & 18450 & 19505.2337631969 & 95.804423108994 & -1055.23376319688 & -0.0822976503927405 \tabularnewline
75 & 20254 & 19548.7938303089 & 93.0361720161932 & 705.206169691117 & -0.384204563290023 \tabularnewline
76 & 19240 & 19679.9063164715 & 95.0543701994513 & -439.906316471472 & 0.279966476091825 \tabularnewline
77 & 20216 & 19740.4702891875 & 93.2257284919133 & 475.529710812537 & -0.253563785388247 \tabularnewline
78 & 19420 & 19722.5544704767 & 87.3320878930281 & -302.554470476721 & -0.81706657661076 \tabularnewline
79 & 19415 & 19854.6263278444 & 89.7046991187274 & -439.626327844352 & 0.32893991248899 \tabularnewline
80 & 20018 & 19957.1134722317 & 90.3825388367774 & 60.8865277682608 & 0.0939909063552975 \tabularnewline
81 & 18652 & 19856.4046774925 & 80.2503853612168 & -1204.40467749255 & -1.40517489469044 \tabularnewline
82 & 19978 & 19952.8814662505 & 81.110616415146 & 25.1185337494952 & 0.11931478439592 \tabularnewline
83 & 19509 & 19964.5283930735 & 77.428599412836 & -455.528393073551 & -0.510745644662623 \tabularnewline
84 & 21971 & 20006.5733394851 & 75.5532361442081 & 1964.42666051494 & -0.260161641720041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107896&T=1

[TABLE]
[ROW][C]Structural Time Series Model[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Level[/C][C]Slope[/C][C]Seasonal[/C][C]Stand. Residuals[/C][/ROW]
[ROW][C]1[/C][C]13328[/C][C]13328[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]12873[/C][C]13200.6096367379[/C][C]3.82153253273492[/C][C]-327.609636737904[/C][C]-1.30910990853883[/C][/ROW]
[ROW][C]3[/C][C]14000[/C][C]13460.2526776262[/C][C]21.9988247230845[/C][C]539.747322373839[/C][C]1.31766721298443[/C][/ROW]
[ROW][C]4[/C][C]13477[/C][C]13535.9869219786[/C][C]26.277874817128[/C][C]-58.986921978551[/C][C]0.311902103707869[/C][/ROW]
[ROW][C]5[/C][C]14237[/C][C]13789.3806643716[/C][C]42.1622676227788[/C][C]447.619335628361[/C][C]1.58143733562182[/C][/ROW]
[ROW][C]6[/C][C]13674[/C][C]13834.078592661[/C][C]42.3048950847059[/C][C]-160.078592660967[/C][C]0.0192400330340184[/C][/ROW]
[ROW][C]7[/C][C]13529[/C][C]13756.1942529229[/C][C]36.7695972831542[/C][C]-227.194252922852[/C][C]-0.93687537822856[/C][/ROW]
[ROW][C]8[/C][C]14058[/C][C]13824.1081499383[/C][C]38.0414014924584[/C][C]233.891850061721[/C][C]0.243932471769008[/C][/ROW]
[ROW][C]9[/C][C]12975[/C][C]13582.4984025658[/C][C]27.0307066217839[/C][C]-607.498402565783[/C][C]-2.18563596938166[/C][/ROW]
[ROW][C]10[/C][C]14326[/C][C]13729.746989131[/C][C]31.8414502980676[/C][C]596.253010869001[/C][C]0.935635721837499[/C][/ROW]
[ROW][C]11[/C][C]14008[/C][C]13869.9949542679[/C][C]36.3416485498737[/C][C]138.005045732104[/C][C]0.839892802844782[/C][/ROW]
[ROW][C]12[/C][C]16193[/C][C]14657.7514190394[/C][C]68.755213093252[/C][C]1535.24858096058[/C][C]5.79778378158836[/C][/ROW]
[ROW][C]13[/C][C]14483[/C][C]14940.9687151515[/C][C]73.377380178188[/C][C]-457.968715151515[/C][C]1.70441403489681[/C][/ROW]
[ROW][C]14[/C][C]14011[/C][C]14973.3054700698[/C][C]72.3109666910293[/C][C]-962.30547006981[/C][C]-0.329020889326419[/C][/ROW]
[ROW][C]15[/C][C]15057[/C][C]14910.2042358499[/C][C]66.7406429671612[/C][C]146.795764150072[/C][C]-1.01366963348165[/C][/ROW]
[ROW][C]16[/C][C]14884[/C][C]14966.7665877889[/C][C]66.2096087984396[/C][C]-82.7665877888551[/C][C]-0.0721892393503844[/C][/ROW]
[ROW][C]17[/C][C]15414[/C][C]14983.3851640481[/C][C]63.3971195434108[/C][C]430.614835951888[/C][C]-0.352185117886043[/C][/ROW]
[ROW][C]18[/C][C]14440[/C][C]14841.9017303636[/C][C]51.7598613125289[/C][C]-401.901730363601[/C][C]-1.49386943826633[/C][/ROW]
[ROW][C]19[/C][C]14900[/C][C]14877.5725168364[/C][C]50.8781922105864[/C][C]22.4274831636239[/C][C]-0.11989603799183[/C][/ROW]
[ROW][C]20[/C][C]15074[/C][C]14855.2830675441[/C][C]47.0434594142997[/C][C]218.716932455922[/C][C]-0.550705464864121[/C][/ROW]
[ROW][C]21[/C][C]14442[/C][C]14996.1390143459[/C][C]51.7712115307658[/C][C]-554.139014345865[/C][C]0.707319375157739[/C][/ROW]
[ROW][C]22[/C][C]15307[/C][C]15086.8745039745[/C][C]53.6732623549166[/C][C]220.125496025466[/C][C]0.293174801681171[/C][/ROW]
[ROW][C]23[/C][C]14938[/C][C]15227.868197767[/C][C]57.8172251877867[/C][C]-289.868197767031[/C][C]0.655220534435506[/C][/ROW]
[ROW][C]24[/C][C]17193[/C][C]15465.1885465236[/C][C]66.1192207811782[/C][C]1727.81145347643[/C][C]1.34613437870652[/C][/ROW]
[ROW][C]25[/C][C]15528[/C][C]15699.3575437439[/C][C]73.7857505155111[/C][C]-171.357543743928[/C][C]1.2638271906867[/C][/ROW]
[ROW][C]26[/C][C]14765[/C][C]15768.8974983431[/C][C]73.58717256472[/C][C]-1003.89749834307[/C][C]-0.0318833447756195[/C][/ROW]
[ROW][C]27[/C][C]15838[/C][C]15770.2255891402[/C][C]70.0234115495705[/C][C]67.7744108598067[/C][C]-0.535995493635427[/C][/ROW]
[ROW][C]28[/C][C]15723[/C][C]15767.7944221004[/C][C]66.2590562552327[/C][C]-44.7944221004366[/C][C]-0.529671473757331[/C][/ROW]
[ROW][C]29[/C][C]16150[/C][C]15725.5501465704[/C][C]60.4288018101536[/C][C]424.449853429631[/C][C]-0.789148680241657[/C][/ROW]
[ROW][C]30[/C][C]15486[/C][C]15780.1555510678[/C][C]60.1118070078565[/C][C]-294.15555106783[/C][C]-0.0425744359084186[/C][/ROW]
[ROW][C]31[/C][C]15986[/C][C]15877.2291906558[/C][C]62.1179397652223[/C][C]108.770809344151[/C][C]0.272498047473189[/C][/ROW]
[ROW][C]32[/C][C]15983[/C][C]15928.5484144626[/C][C]61.5390144498325[/C][C]54.4515855374259[/C][C]-0.080045018674125[/C][/ROW]
[ROW][C]33[/C][C]15692[/C][C]16100.1922535446[/C][C]67.3476244206017[/C][C]-408.192253544631[/C][C]0.816983219827962[/C][/ROW]
[ROW][C]34[/C][C]16490[/C][C]16281.8364701987[/C][C]73.282935704625[/C][C]208.163529801304[/C][C]0.846801007906598[/C][/ROW]
[ROW][C]35[/C][C]15686[/C][C]16325.1017793724[/C][C]71.7437757984775[/C][C]-639.101779372384[/C][C]-0.222074109652116[/C][/ROW]
[ROW][C]36[/C][C]18897[/C][C]16660.8629063613[/C][C]85.1838145510168[/C][C]2236.13709363873[/C][C]1.95349648855418[/C][/ROW]
[ROW][C]37[/C][C]16316[/C][C]16722.8211862746[/C][C]84.001356143972[/C][C]-406.821186274629[/C][C]-0.172023175770423[/C][/ROW]
[ROW][C]38[/C][C]15636[/C][C]16713.5770989985[/C][C]79.2168401989263[/C][C]-1077.57709899848[/C][C]-0.690276606771244[/C][/ROW]
[ROW][C]39[/C][C]17163[/C][C]16831.7757044096[/C][C]81.2428623161003[/C][C]331.224295590397[/C][C]0.28759250194718[/C][/ROW]
[ROW][C]40[/C][C]16534[/C][C]16796.0361420303[/C][C]75.0810464605809[/C][C]-262.036142030262[/C][C]-0.859207161801417[/C][/ROW]
[ROW][C]41[/C][C]16518[/C][C]16595.7633516271[/C][C]60.4295338298941[/C][C]-77.7633516271351[/C][C]-2.01772615679465[/C][/ROW]
[ROW][C]42[/C][C]16375[/C][C]16599.6935557236[/C][C]57.4074952253095[/C][C]-224.693555723638[/C][C]-0.414444665990574[/C][/ROW]
[ROW][C]43[/C][C]16290[/C][C]16513.5740551263[/C][C]49.7271504264102[/C][C]-223.574055126299[/C][C]-1.05580417219991[/C][/ROW]
[ROW][C]44[/C][C]16352[/C][C]16484.4587739234[/C][C]45.5213984997473[/C][C]-132.458773923353[/C][C]-0.581262823896788[/C][/ROW]
[ROW][C]45[/C][C]15943[/C][C]16491.1322908291[/C][C]43.4596829296471[/C][C]-548.132290829068[/C][C]-0.286538996885463[/C][/ROW]
[ROW][C]46[/C][C]16362[/C][C]16429.6652298811[/C][C]37.9215767276276[/C][C]-67.66522988113[/C][C]-0.773355953674206[/C][/ROW]
[ROW][C]47[/C][C]16393[/C][C]16668.1804021539[/C][C]48.4615484439636[/C][C]-275.180402153916[/C][C]1.47741619524434[/C][/ROW]
[ROW][C]48[/C][C]19051[/C][C]16787.4624854918[/C][C]52.173454206323[/C][C]2263.53751450821[/C][C]0.521645127149997[/C][/ROW]
[ROW][C]49[/C][C]16747[/C][C]16927.7722046481[/C][C]56.7927429729416[/C][C]-180.772204648087[/C][C]0.649524986414088[/C][/ROW]
[ROW][C]50[/C][C]16320[/C][C]17113.1041876349[/C][C]63.5443813423608[/C][C]-793.104187634924[/C][C]0.947300972692673[/C][/ROW]
[ROW][C]51[/C][C]17910[/C][C]17270.6208486085[/C][C]68.4980147386156[/C][C]639.379151391548[/C][C]0.691871245273978[/C][/ROW]
[ROW][C]52[/C][C]16961[/C][C]17247.8655189121[/C][C]63.6694078159669[/C][C]-286.865518912085[/C][C]-0.670858742767283[/C][/ROW]
[ROW][C]53[/C][C]17480[/C][C]17325.0681991968[/C][C]64.3876898548985[/C][C]154.931800803166[/C][C]0.0993984412830568[/C][/ROW]
[ROW][C]54[/C][C]17049[/C][C]17312.0279432699[/C][C]60.2710376907534[/C][C]-263.027943269908[/C][C]-0.568791384738454[/C][/ROW]
[ROW][C]55[/C][C]16879[/C][C]17242.3234089413[/C][C]53.3581125867458[/C][C]-363.323408941296[/C][C]-0.955697432450974[/C][/ROW]
[ROW][C]56[/C][C]17473[/C][C]17351.4635822855[/C][C]56.3226245407205[/C][C]121.536417714526[/C][C]0.410503251553979[/C][/ROW]
[ROW][C]57[/C][C]16998[/C][C]17478.6722031745[/C][C]60.0841652725418[/C][C]-480.672203174544[/C][C]0.521762647600326[/C][/ROW]
[ROW][C]58[/C][C]17307[/C][C]17568.3845250282[/C][C]61.6536534916854[/C][C]-261.384525028165[/C][C]0.218014324565491[/C][/ROW]
[ROW][C]59[/C][C]17418[/C][C]17693.2392677716[/C][C]64.9966171301543[/C][C]-275.239267771586[/C][C]0.464905000473736[/C][/ROW]
[ROW][C]60[/C][C]20169[/C][C]17860.1595332552[/C][C]70.3829952876409[/C][C]2308.84046674483[/C][C]0.749746310477573[/C][/ROW]
[ROW][C]61[/C][C]17871[/C][C]18029.5456634985[/C][C]75.6143967610804[/C][C]-158.54566349848[/C][C]0.72843192824773[/C][/ROW]
[ROW][C]62[/C][C]17226[/C][C]18110.4404977468[/C][C]75.8935798972956[/C][C]-884.440497746753[/C][C]0.0388555961946465[/C][/ROW]
[ROW][C]63[/C][C]19062[/C][C]18234.4704221827[/C][C]78.4411890649875[/C][C]827.529577817334[/C][C]0.354112665061781[/C][/ROW]
[ROW][C]64[/C][C]17804[/C][C]18242.0994628127[/C][C]74.6892922338283[/C][C]-438.09946281268[/C][C]-0.520666569347948[/C][/ROW]
[ROW][C]65[/C][C]19100[/C][C]18466.8235865696[/C][C]82.6460233575957[/C][C]633.176413430385[/C][C]1.10276756279848[/C][/ROW]
[ROW][C]66[/C][C]18522[/C][C]18650.0230083162[/C][C]87.9815990619847[/C][C]-128.023008316197[/C][C]0.73907938964685[/C][/ROW]
[ROW][C]67[/C][C]18060[/C][C]18689.5261419395[/C][C]85.4088319075327[/C][C]-629.526141939464[/C][C]-0.35643001941373[/C][/ROW]
[ROW][C]68[/C][C]18869[/C][C]18776.596308097[/C][C]85.4969823981948[/C][C]92.4036919029653[/C][C]0.0122184598281389[/C][/ROW]
[ROW][C]69[/C][C]18127[/C][C]18804.5211916295[/C][C]82.44351504601[/C][C]-677.521191629486[/C][C]-0.423459023475086[/C][/ROW]
[ROW][C]70[/C][C]18871[/C][C]18980.9136859417[/C][C]87.4236961553463[/C][C]-109.913685941735[/C][C]0.690942602132287[/C][/ROW]
[ROW][C]71[/C][C]18890[/C][C]19161.2269928066[/C][C]92.3453763200119[/C][C]-271.226992806564[/C][C]0.683055885564242[/C][/ROW]
[ROW][C]72[/C][C]21263[/C][C]19208.3405796499[/C][C]89.9495440092122[/C][C]2054.65942035008[/C][C]-0.332602323904371[/C][/ROW]
[ROW][C]73[/C][C]19547[/C][C]19420.0267585594[/C][C]96.3971823762235[/C][C]126.973241440626[/C][C]0.895246517153252[/C][/ROW]
[ROW][C]74[/C][C]18450[/C][C]19505.2337631969[/C][C]95.804423108994[/C][C]-1055.23376319688[/C][C]-0.0822976503927405[/C][/ROW]
[ROW][C]75[/C][C]20254[/C][C]19548.7938303089[/C][C]93.0361720161932[/C][C]705.206169691117[/C][C]-0.384204563290023[/C][/ROW]
[ROW][C]76[/C][C]19240[/C][C]19679.9063164715[/C][C]95.0543701994513[/C][C]-439.906316471472[/C][C]0.279966476091825[/C][/ROW]
[ROW][C]77[/C][C]20216[/C][C]19740.4702891875[/C][C]93.2257284919133[/C][C]475.529710812537[/C][C]-0.253563785388247[/C][/ROW]
[ROW][C]78[/C][C]19420[/C][C]19722.5544704767[/C][C]87.3320878930281[/C][C]-302.554470476721[/C][C]-0.81706657661076[/C][/ROW]
[ROW][C]79[/C][C]19415[/C][C]19854.6263278444[/C][C]89.7046991187274[/C][C]-439.626327844352[/C][C]0.32893991248899[/C][/ROW]
[ROW][C]80[/C][C]20018[/C][C]19957.1134722317[/C][C]90.3825388367774[/C][C]60.8865277682608[/C][C]0.0939909063552975[/C][/ROW]
[ROW][C]81[/C][C]18652[/C][C]19856.4046774925[/C][C]80.2503853612168[/C][C]-1204.40467749255[/C][C]-1.40517489469044[/C][/ROW]
[ROW][C]82[/C][C]19978[/C][C]19952.8814662505[/C][C]81.110616415146[/C][C]25.1185337494952[/C][C]0.11931478439592[/C][/ROW]
[ROW][C]83[/C][C]19509[/C][C]19964.5283930735[/C][C]77.428599412836[/C][C]-455.528393073551[/C][C]-0.510745644662623[/C][/ROW]
[ROW][C]84[/C][C]21971[/C][C]20006.5733394851[/C][C]75.5532361442081[/C][C]1964.42666051494[/C][C]-0.260161641720041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107896&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107896&T=1

As an alternative you can also use a QR Code:

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

Structural Time Series Model
t	Observed	Level	Slope	Seasonal	Stand. Residuals
1	13328	13328	0	0	0
2	12873	13200.6096367379	3.82153253273492	-327.609636737904	-1.30910990853883
3	14000	13460.2526776262	21.9988247230845	539.747322373839	1.31766721298443
4	13477	13535.9869219786	26.277874817128	-58.986921978551	0.311902103707869
5	14237	13789.3806643716	42.1622676227788	447.619335628361	1.58143733562182
6	13674	13834.078592661	42.3048950847059	-160.078592660967	0.0192400330340184
7	13529	13756.1942529229	36.7695972831542	-227.194252922852	-0.93687537822856
8	14058	13824.1081499383	38.0414014924584	233.891850061721	0.243932471769008
9	12975	13582.4984025658	27.0307066217839	-607.498402565783	-2.18563596938166
10	14326	13729.746989131	31.8414502980676	596.253010869001	0.935635721837499
11	14008	13869.9949542679	36.3416485498737	138.005045732104	0.839892802844782
12	16193	14657.7514190394	68.755213093252	1535.24858096058	5.79778378158836
13	14483	14940.9687151515	73.377380178188	-457.968715151515	1.70441403489681
14	14011	14973.3054700698	72.3109666910293	-962.30547006981	-0.329020889326419
15	15057	14910.2042358499	66.7406429671612	146.795764150072	-1.01366963348165
16	14884	14966.7665877889	66.2096087984396	-82.7665877888551	-0.0721892393503844
17	15414	14983.3851640481	63.3971195434108	430.614835951888	-0.352185117886043
18	14440	14841.9017303636	51.7598613125289	-401.901730363601	-1.49386943826633
19	14900	14877.5725168364	50.8781922105864	22.4274831636239	-0.11989603799183
20	15074	14855.2830675441	47.0434594142997	218.716932455922	-0.550705464864121
21	14442	14996.1390143459	51.7712115307658	-554.139014345865	0.707319375157739
22	15307	15086.8745039745	53.6732623549166	220.125496025466	0.293174801681171
23	14938	15227.868197767	57.8172251877867	-289.868197767031	0.655220534435506
24	17193	15465.1885465236	66.1192207811782	1727.81145347643	1.34613437870652
25	15528	15699.3575437439	73.7857505155111	-171.357543743928	1.2638271906867
26	14765	15768.8974983431	73.58717256472	-1003.89749834307	-0.0318833447756195
27	15838	15770.2255891402	70.0234115495705	67.7744108598067	-0.535995493635427
28	15723	15767.7944221004	66.2590562552327	-44.7944221004366	-0.529671473757331
29	16150	15725.5501465704	60.4288018101536	424.449853429631	-0.789148680241657
30	15486	15780.1555510678	60.1118070078565	-294.15555106783	-0.0425744359084186
31	15986	15877.2291906558	62.1179397652223	108.770809344151	0.272498047473189
32	15983	15928.5484144626	61.5390144498325	54.4515855374259	-0.080045018674125
33	15692	16100.1922535446	67.3476244206017	-408.192253544631	0.816983219827962
34	16490	16281.8364701987	73.282935704625	208.163529801304	0.846801007906598
35	15686	16325.1017793724	71.7437757984775	-639.101779372384	-0.222074109652116
36	18897	16660.8629063613	85.1838145510168	2236.13709363873	1.95349648855418
37	16316	16722.8211862746	84.001356143972	-406.821186274629	-0.172023175770423
38	15636	16713.5770989985	79.2168401989263	-1077.57709899848	-0.690276606771244
39	17163	16831.7757044096	81.2428623161003	331.224295590397	0.28759250194718
40	16534	16796.0361420303	75.0810464605809	-262.036142030262	-0.859207161801417
41	16518	16595.7633516271	60.4295338298941	-77.7633516271351	-2.01772615679465
42	16375	16599.6935557236	57.4074952253095	-224.693555723638	-0.414444665990574
43	16290	16513.5740551263	49.7271504264102	-223.574055126299	-1.05580417219991
44	16352	16484.4587739234	45.5213984997473	-132.458773923353	-0.581262823896788
45	15943	16491.1322908291	43.4596829296471	-548.132290829068	-0.286538996885463
46	16362	16429.6652298811	37.9215767276276	-67.66522988113	-0.773355953674206
47	16393	16668.1804021539	48.4615484439636	-275.180402153916	1.47741619524434
48	19051	16787.4624854918	52.173454206323	2263.53751450821	0.521645127149997
49	16747	16927.7722046481	56.7927429729416	-180.772204648087	0.649524986414088
50	16320	17113.1041876349	63.5443813423608	-793.104187634924	0.947300972692673
51	17910	17270.6208486085	68.4980147386156	639.379151391548	0.691871245273978
52	16961	17247.8655189121	63.6694078159669	-286.865518912085	-0.670858742767283
53	17480	17325.0681991968	64.3876898548985	154.931800803166	0.0993984412830568
54	17049	17312.0279432699	60.2710376907534	-263.027943269908	-0.568791384738454
55	16879	17242.3234089413	53.3581125867458	-363.323408941296	-0.955697432450974
56	17473	17351.4635822855	56.3226245407205	121.536417714526	0.410503251553979
57	16998	17478.6722031745	60.0841652725418	-480.672203174544	0.521762647600326
58	17307	17568.3845250282	61.6536534916854	-261.384525028165	0.218014324565491
59	17418	17693.2392677716	64.9966171301543	-275.239267771586	0.464905000473736
60	20169	17860.1595332552	70.3829952876409	2308.84046674483	0.749746310477573
61	17871	18029.5456634985	75.6143967610804	-158.54566349848	0.72843192824773
62	17226	18110.4404977468	75.8935798972956	-884.440497746753	0.0388555961946465
63	19062	18234.4704221827	78.4411890649875	827.529577817334	0.354112665061781
64	17804	18242.0994628127	74.6892922338283	-438.09946281268	-0.520666569347948
65	19100	18466.8235865696	82.6460233575957	633.176413430385	1.10276756279848
66	18522	18650.0230083162	87.9815990619847	-128.023008316197	0.73907938964685
67	18060	18689.5261419395	85.4088319075327	-629.526141939464	-0.35643001941373
68	18869	18776.596308097	85.4969823981948	92.4036919029653	0.0122184598281389
69	18127	18804.5211916295	82.44351504601	-677.521191629486	-0.423459023475086
70	18871	18980.9136859417	87.4236961553463	-109.913685941735	0.690942602132287
71	18890	19161.2269928066	92.3453763200119	-271.226992806564	0.683055885564242
72	21263	19208.3405796499	89.9495440092122	2054.65942035008	-0.332602323904371
73	19547	19420.0267585594	96.3971823762235	126.973241440626	0.895246517153252
74	18450	19505.2337631969	95.804423108994	-1055.23376319688	-0.0822976503927405
75	20254	19548.7938303089	93.0361720161932	705.206169691117	-0.384204563290023
76	19240	19679.9063164715	95.0543701994513	-439.906316471472	0.279966476091825
77	20216	19740.4702891875	93.2257284919133	475.529710812537	-0.253563785388247
78	19420	19722.5544704767	87.3320878930281	-302.554470476721	-0.81706657661076
79	19415	19854.6263278444	89.7046991187274	-439.626327844352	0.32893991248899
80	20018	19957.1134722317	90.3825388367774	60.8865277682608	0.0939909063552975
81	18652	19856.4046774925	80.2503853612168	-1204.40467749255	-1.40517489469044
82	19978	19952.8814662505	81.110616415146	25.1185337494952	0.11931478439592
83	19509	19964.5283930735	77.428599412836	-455.528393073551	-0.510745644662623
84	21971	20006.5733394851	75.5532361442081	1964.42666051494	-0.260161641720041

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ;

Parameters (R input):

par1 = 12 ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

R code (references can be found in the software module):

par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time')
grid()
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(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')
acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(mylevel,main='Level')
spectrum(myseas,main='Seasonal')
spectrum(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(mylevel,main='Level')
cpgram(myseas,main='Seasonal')
cpgram(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',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,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',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,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code