Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Fri, 28 Apr 2017 20:42:14 +0100

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/2017/Apr/28/t1493408958vpasgzf2v8i20bz.htm/, Retrieved Fri, 10 May 2024 16:07:22 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 10 May 2024 16:07:22 +0200

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

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	'Sir Maurice George Kendall' @ kendall.wessa.net

\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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	'Sir Maurice George Kendall' @ kendall.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	94.47	NA	NA	-0.405174	NA
2	94.19	NA	NA	-0.416674	NA
3	94.34	NA	NA	-0.312007	NA
4	94.3	NA	NA	-0.481674	NA
5	94.4	NA	NA	0.158826	NA
6	94.54	NA	NA	0.280243	NA
7	94.09	96.1156	96.0796	0.0359931	-2.02558
8	95.87	96.5666	96.4433	0.123243	-0.696576
9	98.46	97.4902	96.8167	0.673493	0.96984
10	98.7	97.0609	97.2154	-0.154507	1.63909
11	98.75	97.7267	97.6329	0.0937431	1.02334
12	98.72	98.4378	98.0333	0.404493	0.282174
13	98.72	98.0298	98.435	-0.405174	0.690174
14	98.67	98.3483	98.765	-0.416674	0.321674
15	98.82	98.5922	98.9042	-0.312007	0.22784
16	99.39	98.4462	98.9279	-0.481674	0.943757
17	99.33	99.0967	98.9379	0.158826	0.233257
18	99.22	99.2486	98.9683	0.280243	-0.0285764
19	99.05	99.0397	99.0037	0.0359931	0.0102569
20	98.83	99.1416	99.0183	0.123243	-0.311576
21	98.84	99.6939	99.0204	0.673493	-0.85391
22	98.89	98.8226	98.9771	-0.154507	0.0674236
23	98.8	98.9937	98.9	0.0937431	-0.193743
24	99.4	99.2291	98.8246	0.404493	0.170924
25	98.89	98.3502	98.7554	-0.405174	0.539757
26	98.85	98.2737	98.6904	-0.416674	0.576257
27	98.69	98.3172	98.6292	-0.312007	0.37284
28	98.48	98.0883	98.57	-0.481674	0.391674
29	98.39	98.6826	98.5237	0.158826	-0.292576
30	98.35	98.7561	98.4758	0.280243	-0.406076
31	98.26	98.4952	98.4592	0.0359931	-0.23516
32	98.06	98.6291	98.5058	0.123243	-0.569076
33	98.14	99.2772	98.6038	0.673493	-1.13724
34	98.17	98.5917	98.7462	-0.154507	-0.421743
35	98.41	99.0062	98.9125	0.0937431	-0.596243
36	98.64	99.4945	99.09	0.404493	-0.854493
37	99.25	98.8773	99.2825	-0.405174	0.372674
38	99.61	99.08	99.4967	-0.416674	0.530007
39	100.28	99.4417	99.7538	-0.312007	0.838257
40	100.31	99.4167	99.8983	-0.481674	0.89334
41	100.55	100.084	99.925	0.158826	0.466174
42	100.45	100.258	99.9775	0.280243	0.192257
43	100.78	99.9097	99.8737	0.0359931	0.870257
44	100.68	99.7249	99.6017	0.123243	0.95509
45	101.69	99.951	99.2775	0.673493	1.73901
46	98.09	98.7634	98.9179	-0.154507	-0.67341
47	99.13	98.7221	98.6283	0.0937431	0.407924
48	99.18	98.8403	98.4358	0.404493	0.339674
49	96.22	97.844	98.2492	-0.405174	-1.62399
50	96.11	97.5954	98.0121	-0.416674	-1.48541
51	96	97.3459	97.6579	-0.312007	-1.34591
52	95.96	96.8429	97.3246	-0.481674	-0.88291
53	97.95	97.2017	97.0429	0.158826	0.748257
54	98.43	97.0036	96.7233	0.280243	1.42642
55	98.32	96.5181	96.4821	0.0359931	1.80192
56	97.45	96.4062	96.2829	0.123243	1.04384
57	96.42	96.716	96.0425	0.673493	-0.295993
58	95.36	95.5497	95.7042	-0.154507	-0.18966
59	95.1	95.3196	95.2258	0.0937431	-0.219576
60	95.54	95.0566	94.6521	0.404493	0.483424
61	94.07	93.6269	94.0321	-0.405174	0.44309
62	93.48	93.0008	93.4175	-0.416674	0.479174
63	92.86	92.5313	92.8433	-0.312007	0.328674
64	90.98	91.9042	92.3858	-0.481674	-0.92416
65	91.45	92.1834	92.0246	0.158826	-0.73341
66	91.16	91.9223	91.6421	0.280243	-0.762326
67	90.71	NA	NA	0.0359931	NA
68	90.31	NA	NA	0.123243	NA
69	89.78	NA	NA	0.673493	NA
70	91.02	NA	NA	-0.154507	NA
71	90.77	NA	NA	0.0937431	NA
72	90.69	NA	NA	0.404493	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 94.47 & NA & NA & -0.405174 & NA \tabularnewline
2 & 94.19 & NA & NA & -0.416674 & NA \tabularnewline
3 & 94.34 & NA & NA & -0.312007 & NA \tabularnewline
4 & 94.3 & NA & NA & -0.481674 & NA \tabularnewline
5 & 94.4 & NA & NA & 0.158826 & NA \tabularnewline
6 & 94.54 & NA & NA & 0.280243 & NA \tabularnewline
7 & 94.09 & 96.1156 & 96.0796 & 0.0359931 & -2.02558 \tabularnewline
8 & 95.87 & 96.5666 & 96.4433 & 0.123243 & -0.696576 \tabularnewline
9 & 98.46 & 97.4902 & 96.8167 & 0.673493 & 0.96984 \tabularnewline
10 & 98.7 & 97.0609 & 97.2154 & -0.154507 & 1.63909 \tabularnewline
11 & 98.75 & 97.7267 & 97.6329 & 0.0937431 & 1.02334 \tabularnewline
12 & 98.72 & 98.4378 & 98.0333 & 0.404493 & 0.282174 \tabularnewline
13 & 98.72 & 98.0298 & 98.435 & -0.405174 & 0.690174 \tabularnewline
14 & 98.67 & 98.3483 & 98.765 & -0.416674 & 0.321674 \tabularnewline
15 & 98.82 & 98.5922 & 98.9042 & -0.312007 & 0.22784 \tabularnewline
16 & 99.39 & 98.4462 & 98.9279 & -0.481674 & 0.943757 \tabularnewline
17 & 99.33 & 99.0967 & 98.9379 & 0.158826 & 0.233257 \tabularnewline
18 & 99.22 & 99.2486 & 98.9683 & 0.280243 & -0.0285764 \tabularnewline
19 & 99.05 & 99.0397 & 99.0037 & 0.0359931 & 0.0102569 \tabularnewline
20 & 98.83 & 99.1416 & 99.0183 & 0.123243 & -0.311576 \tabularnewline
21 & 98.84 & 99.6939 & 99.0204 & 0.673493 & -0.85391 \tabularnewline
22 & 98.89 & 98.8226 & 98.9771 & -0.154507 & 0.0674236 \tabularnewline
23 & 98.8 & 98.9937 & 98.9 & 0.0937431 & -0.193743 \tabularnewline
24 & 99.4 & 99.2291 & 98.8246 & 0.404493 & 0.170924 \tabularnewline
25 & 98.89 & 98.3502 & 98.7554 & -0.405174 & 0.539757 \tabularnewline
26 & 98.85 & 98.2737 & 98.6904 & -0.416674 & 0.576257 \tabularnewline
27 & 98.69 & 98.3172 & 98.6292 & -0.312007 & 0.37284 \tabularnewline
28 & 98.48 & 98.0883 & 98.57 & -0.481674 & 0.391674 \tabularnewline
29 & 98.39 & 98.6826 & 98.5237 & 0.158826 & -0.292576 \tabularnewline
30 & 98.35 & 98.7561 & 98.4758 & 0.280243 & -0.406076 \tabularnewline
31 & 98.26 & 98.4952 & 98.4592 & 0.0359931 & -0.23516 \tabularnewline
32 & 98.06 & 98.6291 & 98.5058 & 0.123243 & -0.569076 \tabularnewline
33 & 98.14 & 99.2772 & 98.6038 & 0.673493 & -1.13724 \tabularnewline
34 & 98.17 & 98.5917 & 98.7462 & -0.154507 & -0.421743 \tabularnewline
35 & 98.41 & 99.0062 & 98.9125 & 0.0937431 & -0.596243 \tabularnewline
36 & 98.64 & 99.4945 & 99.09 & 0.404493 & -0.854493 \tabularnewline
37 & 99.25 & 98.8773 & 99.2825 & -0.405174 & 0.372674 \tabularnewline
38 & 99.61 & 99.08 & 99.4967 & -0.416674 & 0.530007 \tabularnewline
39 & 100.28 & 99.4417 & 99.7538 & -0.312007 & 0.838257 \tabularnewline
40 & 100.31 & 99.4167 & 99.8983 & -0.481674 & 0.89334 \tabularnewline
41 & 100.55 & 100.084 & 99.925 & 0.158826 & 0.466174 \tabularnewline
42 & 100.45 & 100.258 & 99.9775 & 0.280243 & 0.192257 \tabularnewline
43 & 100.78 & 99.9097 & 99.8737 & 0.0359931 & 0.870257 \tabularnewline
44 & 100.68 & 99.7249 & 99.6017 & 0.123243 & 0.95509 \tabularnewline
45 & 101.69 & 99.951 & 99.2775 & 0.673493 & 1.73901 \tabularnewline
46 & 98.09 & 98.7634 & 98.9179 & -0.154507 & -0.67341 \tabularnewline
47 & 99.13 & 98.7221 & 98.6283 & 0.0937431 & 0.407924 \tabularnewline
48 & 99.18 & 98.8403 & 98.4358 & 0.404493 & 0.339674 \tabularnewline
49 & 96.22 & 97.844 & 98.2492 & -0.405174 & -1.62399 \tabularnewline
50 & 96.11 & 97.5954 & 98.0121 & -0.416674 & -1.48541 \tabularnewline
51 & 96 & 97.3459 & 97.6579 & -0.312007 & -1.34591 \tabularnewline
52 & 95.96 & 96.8429 & 97.3246 & -0.481674 & -0.88291 \tabularnewline
53 & 97.95 & 97.2017 & 97.0429 & 0.158826 & 0.748257 \tabularnewline
54 & 98.43 & 97.0036 & 96.7233 & 0.280243 & 1.42642 \tabularnewline
55 & 98.32 & 96.5181 & 96.4821 & 0.0359931 & 1.80192 \tabularnewline
56 & 97.45 & 96.4062 & 96.2829 & 0.123243 & 1.04384 \tabularnewline
57 & 96.42 & 96.716 & 96.0425 & 0.673493 & -0.295993 \tabularnewline
58 & 95.36 & 95.5497 & 95.7042 & -0.154507 & -0.18966 \tabularnewline
59 & 95.1 & 95.3196 & 95.2258 & 0.0937431 & -0.219576 \tabularnewline
60 & 95.54 & 95.0566 & 94.6521 & 0.404493 & 0.483424 \tabularnewline
61 & 94.07 & 93.6269 & 94.0321 & -0.405174 & 0.44309 \tabularnewline
62 & 93.48 & 93.0008 & 93.4175 & -0.416674 & 0.479174 \tabularnewline
63 & 92.86 & 92.5313 & 92.8433 & -0.312007 & 0.328674 \tabularnewline
64 & 90.98 & 91.9042 & 92.3858 & -0.481674 & -0.92416 \tabularnewline
65 & 91.45 & 92.1834 & 92.0246 & 0.158826 & -0.73341 \tabularnewline
66 & 91.16 & 91.9223 & 91.6421 & 0.280243 & -0.762326 \tabularnewline
67 & 90.71 & NA & NA & 0.0359931 & NA \tabularnewline
68 & 90.31 & NA & NA & 0.123243 & NA \tabularnewline
69 & 89.78 & NA & NA & 0.673493 & NA \tabularnewline
70 & 91.02 & NA & NA & -0.154507 & NA \tabularnewline
71 & 90.77 & NA & NA & 0.0937431 & NA \tabularnewline
72 & 90.69 & NA & NA & 0.404493 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]94.47[/C][C]NA[/C][C]NA[/C][C]-0.405174[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]94.19[/C][C]NA[/C][C]NA[/C][C]-0.416674[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]94.34[/C][C]NA[/C][C]NA[/C][C]-0.312007[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]94.3[/C][C]NA[/C][C]NA[/C][C]-0.481674[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]94.4[/C][C]NA[/C][C]NA[/C][C]0.158826[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]94.54[/C][C]NA[/C][C]NA[/C][C]0.280243[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]94.09[/C][C]96.1156[/C][C]96.0796[/C][C]0.0359931[/C][C]-2.02558[/C][/ROW]
[ROW][C]8[/C][C]95.87[/C][C]96.5666[/C][C]96.4433[/C][C]0.123243[/C][C]-0.696576[/C][/ROW]
[ROW][C]9[/C][C]98.46[/C][C]97.4902[/C][C]96.8167[/C][C]0.673493[/C][C]0.96984[/C][/ROW]
[ROW][C]10[/C][C]98.7[/C][C]97.0609[/C][C]97.2154[/C][C]-0.154507[/C][C]1.63909[/C][/ROW]
[ROW][C]11[/C][C]98.75[/C][C]97.7267[/C][C]97.6329[/C][C]0.0937431[/C][C]1.02334[/C][/ROW]
[ROW][C]12[/C][C]98.72[/C][C]98.4378[/C][C]98.0333[/C][C]0.404493[/C][C]0.282174[/C][/ROW]
[ROW][C]13[/C][C]98.72[/C][C]98.0298[/C][C]98.435[/C][C]-0.405174[/C][C]0.690174[/C][/ROW]
[ROW][C]14[/C][C]98.67[/C][C]98.3483[/C][C]98.765[/C][C]-0.416674[/C][C]0.321674[/C][/ROW]
[ROW][C]15[/C][C]98.82[/C][C]98.5922[/C][C]98.9042[/C][C]-0.312007[/C][C]0.22784[/C][/ROW]
[ROW][C]16[/C][C]99.39[/C][C]98.4462[/C][C]98.9279[/C][C]-0.481674[/C][C]0.943757[/C][/ROW]
[ROW][C]17[/C][C]99.33[/C][C]99.0967[/C][C]98.9379[/C][C]0.158826[/C][C]0.233257[/C][/ROW]
[ROW][C]18[/C][C]99.22[/C][C]99.2486[/C][C]98.9683[/C][C]0.280243[/C][C]-0.0285764[/C][/ROW]
[ROW][C]19[/C][C]99.05[/C][C]99.0397[/C][C]99.0037[/C][C]0.0359931[/C][C]0.0102569[/C][/ROW]
[ROW][C]20[/C][C]98.83[/C][C]99.1416[/C][C]99.0183[/C][C]0.123243[/C][C]-0.311576[/C][/ROW]
[ROW][C]21[/C][C]98.84[/C][C]99.6939[/C][C]99.0204[/C][C]0.673493[/C][C]-0.85391[/C][/ROW]
[ROW][C]22[/C][C]98.89[/C][C]98.8226[/C][C]98.9771[/C][C]-0.154507[/C][C]0.0674236[/C][/ROW]
[ROW][C]23[/C][C]98.8[/C][C]98.9937[/C][C]98.9[/C][C]0.0937431[/C][C]-0.193743[/C][/ROW]
[ROW][C]24[/C][C]99.4[/C][C]99.2291[/C][C]98.8246[/C][C]0.404493[/C][C]0.170924[/C][/ROW]
[ROW][C]25[/C][C]98.89[/C][C]98.3502[/C][C]98.7554[/C][C]-0.405174[/C][C]0.539757[/C][/ROW]
[ROW][C]26[/C][C]98.85[/C][C]98.2737[/C][C]98.6904[/C][C]-0.416674[/C][C]0.576257[/C][/ROW]
[ROW][C]27[/C][C]98.69[/C][C]98.3172[/C][C]98.6292[/C][C]-0.312007[/C][C]0.37284[/C][/ROW]
[ROW][C]28[/C][C]98.48[/C][C]98.0883[/C][C]98.57[/C][C]-0.481674[/C][C]0.391674[/C][/ROW]
[ROW][C]29[/C][C]98.39[/C][C]98.6826[/C][C]98.5237[/C][C]0.158826[/C][C]-0.292576[/C][/ROW]
[ROW][C]30[/C][C]98.35[/C][C]98.7561[/C][C]98.4758[/C][C]0.280243[/C][C]-0.406076[/C][/ROW]
[ROW][C]31[/C][C]98.26[/C][C]98.4952[/C][C]98.4592[/C][C]0.0359931[/C][C]-0.23516[/C][/ROW]
[ROW][C]32[/C][C]98.06[/C][C]98.6291[/C][C]98.5058[/C][C]0.123243[/C][C]-0.569076[/C][/ROW]
[ROW][C]33[/C][C]98.14[/C][C]99.2772[/C][C]98.6038[/C][C]0.673493[/C][C]-1.13724[/C][/ROW]
[ROW][C]34[/C][C]98.17[/C][C]98.5917[/C][C]98.7462[/C][C]-0.154507[/C][C]-0.421743[/C][/ROW]
[ROW][C]35[/C][C]98.41[/C][C]99.0062[/C][C]98.9125[/C][C]0.0937431[/C][C]-0.596243[/C][/ROW]
[ROW][C]36[/C][C]98.64[/C][C]99.4945[/C][C]99.09[/C][C]0.404493[/C][C]-0.854493[/C][/ROW]
[ROW][C]37[/C][C]99.25[/C][C]98.8773[/C][C]99.2825[/C][C]-0.405174[/C][C]0.372674[/C][/ROW]
[ROW][C]38[/C][C]99.61[/C][C]99.08[/C][C]99.4967[/C][C]-0.416674[/C][C]0.530007[/C][/ROW]
[ROW][C]39[/C][C]100.28[/C][C]99.4417[/C][C]99.7538[/C][C]-0.312007[/C][C]0.838257[/C][/ROW]
[ROW][C]40[/C][C]100.31[/C][C]99.4167[/C][C]99.8983[/C][C]-0.481674[/C][C]0.89334[/C][/ROW]
[ROW][C]41[/C][C]100.55[/C][C]100.084[/C][C]99.925[/C][C]0.158826[/C][C]0.466174[/C][/ROW]
[ROW][C]42[/C][C]100.45[/C][C]100.258[/C][C]99.9775[/C][C]0.280243[/C][C]0.192257[/C][/ROW]
[ROW][C]43[/C][C]100.78[/C][C]99.9097[/C][C]99.8737[/C][C]0.0359931[/C][C]0.870257[/C][/ROW]
[ROW][C]44[/C][C]100.68[/C][C]99.7249[/C][C]99.6017[/C][C]0.123243[/C][C]0.95509[/C][/ROW]
[ROW][C]45[/C][C]101.69[/C][C]99.951[/C][C]99.2775[/C][C]0.673493[/C][C]1.73901[/C][/ROW]
[ROW][C]46[/C][C]98.09[/C][C]98.7634[/C][C]98.9179[/C][C]-0.154507[/C][C]-0.67341[/C][/ROW]
[ROW][C]47[/C][C]99.13[/C][C]98.7221[/C][C]98.6283[/C][C]0.0937431[/C][C]0.407924[/C][/ROW]
[ROW][C]48[/C][C]99.18[/C][C]98.8403[/C][C]98.4358[/C][C]0.404493[/C][C]0.339674[/C][/ROW]
[ROW][C]49[/C][C]96.22[/C][C]97.844[/C][C]98.2492[/C][C]-0.405174[/C][C]-1.62399[/C][/ROW]
[ROW][C]50[/C][C]96.11[/C][C]97.5954[/C][C]98.0121[/C][C]-0.416674[/C][C]-1.48541[/C][/ROW]
[ROW][C]51[/C][C]96[/C][C]97.3459[/C][C]97.6579[/C][C]-0.312007[/C][C]-1.34591[/C][/ROW]
[ROW][C]52[/C][C]95.96[/C][C]96.8429[/C][C]97.3246[/C][C]-0.481674[/C][C]-0.88291[/C][/ROW]
[ROW][C]53[/C][C]97.95[/C][C]97.2017[/C][C]97.0429[/C][C]0.158826[/C][C]0.748257[/C][/ROW]
[ROW][C]54[/C][C]98.43[/C][C]97.0036[/C][C]96.7233[/C][C]0.280243[/C][C]1.42642[/C][/ROW]
[ROW][C]55[/C][C]98.32[/C][C]96.5181[/C][C]96.4821[/C][C]0.0359931[/C][C]1.80192[/C][/ROW]
[ROW][C]56[/C][C]97.45[/C][C]96.4062[/C][C]96.2829[/C][C]0.123243[/C][C]1.04384[/C][/ROW]
[ROW][C]57[/C][C]96.42[/C][C]96.716[/C][C]96.0425[/C][C]0.673493[/C][C]-0.295993[/C][/ROW]
[ROW][C]58[/C][C]95.36[/C][C]95.5497[/C][C]95.7042[/C][C]-0.154507[/C][C]-0.18966[/C][/ROW]
[ROW][C]59[/C][C]95.1[/C][C]95.3196[/C][C]95.2258[/C][C]0.0937431[/C][C]-0.219576[/C][/ROW]
[ROW][C]60[/C][C]95.54[/C][C]95.0566[/C][C]94.6521[/C][C]0.404493[/C][C]0.483424[/C][/ROW]
[ROW][C]61[/C][C]94.07[/C][C]93.6269[/C][C]94.0321[/C][C]-0.405174[/C][C]0.44309[/C][/ROW]
[ROW][C]62[/C][C]93.48[/C][C]93.0008[/C][C]93.4175[/C][C]-0.416674[/C][C]0.479174[/C][/ROW]
[ROW][C]63[/C][C]92.86[/C][C]92.5313[/C][C]92.8433[/C][C]-0.312007[/C][C]0.328674[/C][/ROW]
[ROW][C]64[/C][C]90.98[/C][C]91.9042[/C][C]92.3858[/C][C]-0.481674[/C][C]-0.92416[/C][/ROW]
[ROW][C]65[/C][C]91.45[/C][C]92.1834[/C][C]92.0246[/C][C]0.158826[/C][C]-0.73341[/C][/ROW]
[ROW][C]66[/C][C]91.16[/C][C]91.9223[/C][C]91.6421[/C][C]0.280243[/C][C]-0.762326[/C][/ROW]
[ROW][C]67[/C][C]90.71[/C][C]NA[/C][C]NA[/C][C]0.0359931[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]90.31[/C][C]NA[/C][C]NA[/C][C]0.123243[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]89.78[/C][C]NA[/C][C]NA[/C][C]0.673493[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]91.02[/C][C]NA[/C][C]NA[/C][C]-0.154507[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]90.77[/C][C]NA[/C][C]NA[/C][C]0.0937431[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]90.69[/C][C]NA[/C][C]NA[/C][C]0.404493[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a QR Code:

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

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	94.47	NA	NA	-0.405174	NA
2	94.19	NA	NA	-0.416674	NA
3	94.34	NA	NA	-0.312007	NA
4	94.3	NA	NA	-0.481674	NA
5	94.4	NA	NA	0.158826	NA
6	94.54	NA	NA	0.280243	NA
7	94.09	96.1156	96.0796	0.0359931	-2.02558
8	95.87	96.5666	96.4433	0.123243	-0.696576
9	98.46	97.4902	96.8167	0.673493	0.96984
10	98.7	97.0609	97.2154	-0.154507	1.63909
11	98.75	97.7267	97.6329	0.0937431	1.02334
12	98.72	98.4378	98.0333	0.404493	0.282174
13	98.72	98.0298	98.435	-0.405174	0.690174
14	98.67	98.3483	98.765	-0.416674	0.321674
15	98.82	98.5922	98.9042	-0.312007	0.22784
16	99.39	98.4462	98.9279	-0.481674	0.943757
17	99.33	99.0967	98.9379	0.158826	0.233257
18	99.22	99.2486	98.9683	0.280243	-0.0285764
19	99.05	99.0397	99.0037	0.0359931	0.0102569
20	98.83	99.1416	99.0183	0.123243	-0.311576
21	98.84	99.6939	99.0204	0.673493	-0.85391
22	98.89	98.8226	98.9771	-0.154507	0.0674236
23	98.8	98.9937	98.9	0.0937431	-0.193743
24	99.4	99.2291	98.8246	0.404493	0.170924
25	98.89	98.3502	98.7554	-0.405174	0.539757
26	98.85	98.2737	98.6904	-0.416674	0.576257
27	98.69	98.3172	98.6292	-0.312007	0.37284
28	98.48	98.0883	98.57	-0.481674	0.391674
29	98.39	98.6826	98.5237	0.158826	-0.292576
30	98.35	98.7561	98.4758	0.280243	-0.406076
31	98.26	98.4952	98.4592	0.0359931	-0.23516
32	98.06	98.6291	98.5058	0.123243	-0.569076
33	98.14	99.2772	98.6038	0.673493	-1.13724
34	98.17	98.5917	98.7462	-0.154507	-0.421743
35	98.41	99.0062	98.9125	0.0937431	-0.596243
36	98.64	99.4945	99.09	0.404493	-0.854493
37	99.25	98.8773	99.2825	-0.405174	0.372674
38	99.61	99.08	99.4967	-0.416674	0.530007
39	100.28	99.4417	99.7538	-0.312007	0.838257
40	100.31	99.4167	99.8983	-0.481674	0.89334
41	100.55	100.084	99.925	0.158826	0.466174
42	100.45	100.258	99.9775	0.280243	0.192257
43	100.78	99.9097	99.8737	0.0359931	0.870257
44	100.68	99.7249	99.6017	0.123243	0.95509
45	101.69	99.951	99.2775	0.673493	1.73901
46	98.09	98.7634	98.9179	-0.154507	-0.67341
47	99.13	98.7221	98.6283	0.0937431	0.407924
48	99.18	98.8403	98.4358	0.404493	0.339674
49	96.22	97.844	98.2492	-0.405174	-1.62399
50	96.11	97.5954	98.0121	-0.416674	-1.48541
51	96	97.3459	97.6579	-0.312007	-1.34591
52	95.96	96.8429	97.3246	-0.481674	-0.88291
53	97.95	97.2017	97.0429	0.158826	0.748257
54	98.43	97.0036	96.7233	0.280243	1.42642
55	98.32	96.5181	96.4821	0.0359931	1.80192
56	97.45	96.4062	96.2829	0.123243	1.04384
57	96.42	96.716	96.0425	0.673493	-0.295993
58	95.36	95.5497	95.7042	-0.154507	-0.18966
59	95.1	95.3196	95.2258	0.0937431	-0.219576
60	95.54	95.0566	94.6521	0.404493	0.483424
61	94.07	93.6269	94.0321	-0.405174	0.44309
62	93.48	93.0008	93.4175	-0.416674	0.479174
63	92.86	92.5313	92.8433	-0.312007	0.328674
64	90.98	91.9042	92.3858	-0.481674	-0.92416
65	91.45	92.1834	92.0246	0.158826	-0.73341
66	91.16	91.9223	91.6421	0.280243	-0.762326
67	90.71	NA	NA	0.0359931	NA
68	90.31	NA	NA	0.123243	NA
69	89.78	NA	NA	0.673493	NA
70	91.02	NA	NA	-0.154507	NA
71	90.77	NA	NA	0.0937431	NA
72	90.69	NA	NA	0.404493	NA

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

Parameters (Session):

par1 = additive ; par2 = 12 ;

Parameters (R input):

par1 = additive ; 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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
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