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rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sun, 19 Dec 2010 16:14:36 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/19/t1292775145dofdzxmggc1oza9.htm/, Retrieved Sat, 04 May 2024 22:53:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112553, Retrieved Sat, 04 May 2024 22:53:21 +0000

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Estimated Impact

121

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [Classical Decomposition] [cd] [2010-12-07 12:12:43] [8b7e5d4d87654725a776c7f35eb4752f]
-    D    [Classical Decomposition] [] [2010-12-09 20:24:31] [126c9e58bb659a0bfb4675d843c2c69e]
-    D        [Classical Decomposition] [] [2010-12-19 16:14:36] [a3cd012a7211edfe9ed4466e21aef6a6] [Current]
-    D          [Classical Decomposition] [] [2010-12-19 16:20:27] [126c9e58bb659a0bfb4675d843c2c69e] 

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112553&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112553&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112553&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	41.85	NA	NA	-0.0292476851851864	NA
2	41.75	NA	NA	-0.0200810185185186	NA
3	41.75	NA	NA	0.0176967592592580	NA
4	41.75	NA	NA	0.0349189814814835	NA
5	41.58	NA	NA	0.0156134259259242	NA
6	41.61	NA	NA	0.064502314814816	NA
7	41.42	41.6272800925926	41.5191666666667	0.10811342592593	-0.207280092592590
8	41.37	41.4576967592593	41.4783333333333	-0.0206365740740760	-0.0876967592592592
9	41.37	41.4610300925926	41.44	0.0210300925925906	-0.0910300925925895
10	41.33	41.4197800925926	41.4008333333333	0.0189467592592568	-0.0897800925925907
11	41.37	41.2638078703704	41.3583333333333	-0.0945254629629617	0.106192129629626
12	41.34	41.1899189814815	41.30625	-0.116331018518516	0.150081018518520
13	41.33	41.2253356481481	41.2545833333333	-0.0292476851851864	0.104664351851852
14	41.29	41.1853356481482	41.2054166666667	-0.0200810185185186	0.104664351851845
15	41.29	41.1689467592593	41.15125	0.0176967592592580	0.121053240740736
16	41.27	41.1278356481481	41.0929166666667	0.0349189814814835	0.142164351851861
17	41.04	41.0301967592593	41.0145833333333	0.0156134259259242	0.00980324074073735
18	40.9	40.9790856481481	40.9145833333333	0.064502314814816	-0.0790856481481441
19	40.89	40.9193634259259	40.81125	0.10811342592593	-0.029363425925915
20	40.72	40.6906134259259	40.71125	-0.0206365740740760	0.0293865740740813
21	40.72	40.6331134259259	40.6120833333333	0.0210300925925906	0.0868865740740787
22	40.58	40.5318634259259	40.5129166666667	0.0189467592592568	0.0481365740740713
23	40.24	40.327974537037	40.4225	-0.0945254629629617	-0.0879745370370344
24	40.07	40.2274189814815	40.34375	-0.116331018518516	-0.157418981481484
25	40.12	40.2415856481481	40.2708333333333	-0.0292476851851864	-0.121585648148148
26	40.1	40.1715856481482	40.1916666666667	-0.0200810185185186	-0.071585648148151
27	40.1	40.1210300925926	40.1033333333333	0.0176967592592580	-0.0210300925925964
28	40.08	40.0561689814815	40.02125	0.0349189814814835	0.0238310185185213
29	40.06	39.9706134259259	39.955	0.0156134259259242	0.0893865740740765
30	39.99	39.9732523148148	39.90875	0.064502314814816	0.0167476851851802
31	40.05	39.9826967592593	39.8745833333333	0.10811342592593	0.0673032407407348
32	39.66	39.8210300925926	39.8416666666667	-0.0206365740740760	-0.161030092592597
33	39.66	39.8293634259259	39.8083333333333	0.0210300925925906	-0.169363425925930
34	39.67	39.7939467592593	39.775	0.0189467592592568	-0.123946759259255
35	39.56	39.6513078703704	39.7458333333333	-0.0945254629629617	-0.0913078703703718
36	39.64	39.6174189814815	39.73375	-0.116331018518516	0.0225810185185225
37	39.73	39.7011689814815	39.7304166666667	-0.0292476851851864	0.0288310185185097
38	39.7	39.7211689814815	39.74125	-0.0200810185185186	-0.0211689814814733
39	39.7	39.7881134259259	39.7704166666667	0.0176967592592580	-0.0881134259259184
40	39.68	39.8340856481482	39.7991666666667	0.0349189814814835	-0.154085648148154
41	39.76	39.8472800925926	39.8316666666667	0.0156134259259242	-0.0872800925926
42	40	39.9257523148148	39.86125	0.064502314814816	0.0742476851851848
43	39.96	39.9860300925926	39.8779166666667	0.10811342592593	-0.0260300925925918
44	40.01	39.8664467592593	39.8870833333333	-0.0206365740740760	0.143553240740736
45	40.01	39.9156134259259	39.8945833333333	0.0210300925925906	0.094386574074079
46	40.01	39.9222800925926	39.9033333333333	0.0189467592592568	0.0877199074074042
47	40	39.8088078703704	39.9033333333333	-0.0945254629629617	0.191192129629634
48	39.91	39.7632523148148	39.8795833333333	-0.116331018518516	0.146747685185183
49	39.86	NA	39.8358333333333	NA	NA
50	39.79	NA	39.7804166666667	NA	NA
51	39.79	NA	NA	NA	NA
52	39.8	NA	NA	NA	NA
53	39.64	NA	NA	NA	NA
54	39.55	NA	NA	NA	NA
55	39.36	NA	NA	NA	NA
56	39.28	NA	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 41.85 & NA & NA & -0.0292476851851864 & NA \tabularnewline
2 & 41.75 & NA & NA & -0.0200810185185186 & NA \tabularnewline
3 & 41.75 & NA & NA & 0.0176967592592580 & NA \tabularnewline
4 & 41.75 & NA & NA & 0.0349189814814835 & NA \tabularnewline
5 & 41.58 & NA & NA & 0.0156134259259242 & NA \tabularnewline
6 & 41.61 & NA & NA & 0.064502314814816 & NA \tabularnewline
7 & 41.42 & 41.6272800925926 & 41.5191666666667 & 0.10811342592593 & -0.207280092592590 \tabularnewline
8 & 41.37 & 41.4576967592593 & 41.4783333333333 & -0.0206365740740760 & -0.0876967592592592 \tabularnewline
9 & 41.37 & 41.4610300925926 & 41.44 & 0.0210300925925906 & -0.0910300925925895 \tabularnewline
10 & 41.33 & 41.4197800925926 & 41.4008333333333 & 0.0189467592592568 & -0.0897800925925907 \tabularnewline
11 & 41.37 & 41.2638078703704 & 41.3583333333333 & -0.0945254629629617 & 0.106192129629626 \tabularnewline
12 & 41.34 & 41.1899189814815 & 41.30625 & -0.116331018518516 & 0.150081018518520 \tabularnewline
13 & 41.33 & 41.2253356481481 & 41.2545833333333 & -0.0292476851851864 & 0.104664351851852 \tabularnewline
14 & 41.29 & 41.1853356481482 & 41.2054166666667 & -0.0200810185185186 & 0.104664351851845 \tabularnewline
15 & 41.29 & 41.1689467592593 & 41.15125 & 0.0176967592592580 & 0.121053240740736 \tabularnewline
16 & 41.27 & 41.1278356481481 & 41.0929166666667 & 0.0349189814814835 & 0.142164351851861 \tabularnewline
17 & 41.04 & 41.0301967592593 & 41.0145833333333 & 0.0156134259259242 & 0.00980324074073735 \tabularnewline
18 & 40.9 & 40.9790856481481 & 40.9145833333333 & 0.064502314814816 & -0.0790856481481441 \tabularnewline
19 & 40.89 & 40.9193634259259 & 40.81125 & 0.10811342592593 & -0.029363425925915 \tabularnewline
20 & 40.72 & 40.6906134259259 & 40.71125 & -0.0206365740740760 & 0.0293865740740813 \tabularnewline
21 & 40.72 & 40.6331134259259 & 40.6120833333333 & 0.0210300925925906 & 0.0868865740740787 \tabularnewline
22 & 40.58 & 40.5318634259259 & 40.5129166666667 & 0.0189467592592568 & 0.0481365740740713 \tabularnewline
23 & 40.24 & 40.327974537037 & 40.4225 & -0.0945254629629617 & -0.0879745370370344 \tabularnewline
24 & 40.07 & 40.2274189814815 & 40.34375 & -0.116331018518516 & -0.157418981481484 \tabularnewline
25 & 40.12 & 40.2415856481481 & 40.2708333333333 & -0.0292476851851864 & -0.121585648148148 \tabularnewline
26 & 40.1 & 40.1715856481482 & 40.1916666666667 & -0.0200810185185186 & -0.071585648148151 \tabularnewline
27 & 40.1 & 40.1210300925926 & 40.1033333333333 & 0.0176967592592580 & -0.0210300925925964 \tabularnewline
28 & 40.08 & 40.0561689814815 & 40.02125 & 0.0349189814814835 & 0.0238310185185213 \tabularnewline
29 & 40.06 & 39.9706134259259 & 39.955 & 0.0156134259259242 & 0.0893865740740765 \tabularnewline
30 & 39.99 & 39.9732523148148 & 39.90875 & 0.064502314814816 & 0.0167476851851802 \tabularnewline
31 & 40.05 & 39.9826967592593 & 39.8745833333333 & 0.10811342592593 & 0.0673032407407348 \tabularnewline
32 & 39.66 & 39.8210300925926 & 39.8416666666667 & -0.0206365740740760 & -0.161030092592597 \tabularnewline
33 & 39.66 & 39.8293634259259 & 39.8083333333333 & 0.0210300925925906 & -0.169363425925930 \tabularnewline
34 & 39.67 & 39.7939467592593 & 39.775 & 0.0189467592592568 & -0.123946759259255 \tabularnewline
35 & 39.56 & 39.6513078703704 & 39.7458333333333 & -0.0945254629629617 & -0.0913078703703718 \tabularnewline
36 & 39.64 & 39.6174189814815 & 39.73375 & -0.116331018518516 & 0.0225810185185225 \tabularnewline
37 & 39.73 & 39.7011689814815 & 39.7304166666667 & -0.0292476851851864 & 0.0288310185185097 \tabularnewline
38 & 39.7 & 39.7211689814815 & 39.74125 & -0.0200810185185186 & -0.0211689814814733 \tabularnewline
39 & 39.7 & 39.7881134259259 & 39.7704166666667 & 0.0176967592592580 & -0.0881134259259184 \tabularnewline
40 & 39.68 & 39.8340856481482 & 39.7991666666667 & 0.0349189814814835 & -0.154085648148154 \tabularnewline
41 & 39.76 & 39.8472800925926 & 39.8316666666667 & 0.0156134259259242 & -0.0872800925926 \tabularnewline
42 & 40 & 39.9257523148148 & 39.86125 & 0.064502314814816 & 0.0742476851851848 \tabularnewline
43 & 39.96 & 39.9860300925926 & 39.8779166666667 & 0.10811342592593 & -0.0260300925925918 \tabularnewline
44 & 40.01 & 39.8664467592593 & 39.8870833333333 & -0.0206365740740760 & 0.143553240740736 \tabularnewline
45 & 40.01 & 39.9156134259259 & 39.8945833333333 & 0.0210300925925906 & 0.094386574074079 \tabularnewline
46 & 40.01 & 39.9222800925926 & 39.9033333333333 & 0.0189467592592568 & 0.0877199074074042 \tabularnewline
47 & 40 & 39.8088078703704 & 39.9033333333333 & -0.0945254629629617 & 0.191192129629634 \tabularnewline
48 & 39.91 & 39.7632523148148 & 39.8795833333333 & -0.116331018518516 & 0.146747685185183 \tabularnewline
49 & 39.86 & NA & 39.8358333333333 & NA & NA \tabularnewline
50 & 39.79 & NA & 39.7804166666667 & NA & NA \tabularnewline
51 & 39.79 & NA & NA & NA & NA \tabularnewline
52 & 39.8 & NA & NA & NA & NA \tabularnewline
53 & 39.64 & NA & NA & NA & NA \tabularnewline
54 & 39.55 & NA & NA & NA & NA \tabularnewline
55 & 39.36 & NA & NA & NA & NA \tabularnewline
56 & 39.28 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112553&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]41.85[/C][C]NA[/C][C]NA[/C][C]-0.0292476851851864[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]41.75[/C][C]NA[/C][C]NA[/C][C]-0.0200810185185186[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]41.75[/C][C]NA[/C][C]NA[/C][C]0.0176967592592580[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]41.75[/C][C]NA[/C][C]NA[/C][C]0.0349189814814835[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]41.58[/C][C]NA[/C][C]NA[/C][C]0.0156134259259242[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]41.61[/C][C]NA[/C][C]NA[/C][C]0.064502314814816[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]41.42[/C][C]41.6272800925926[/C][C]41.5191666666667[/C][C]0.10811342592593[/C][C]-0.207280092592590[/C][/ROW]
[ROW][C]8[/C][C]41.37[/C][C]41.4576967592593[/C][C]41.4783333333333[/C][C]-0.0206365740740760[/C][C]-0.0876967592592592[/C][/ROW]
[ROW][C]9[/C][C]41.37[/C][C]41.4610300925926[/C][C]41.44[/C][C]0.0210300925925906[/C][C]-0.0910300925925895[/C][/ROW]
[ROW][C]10[/C][C]41.33[/C][C]41.4197800925926[/C][C]41.4008333333333[/C][C]0.0189467592592568[/C][C]-0.0897800925925907[/C][/ROW]
[ROW][C]11[/C][C]41.37[/C][C]41.2638078703704[/C][C]41.3583333333333[/C][C]-0.0945254629629617[/C][C]0.106192129629626[/C][/ROW]
[ROW][C]12[/C][C]41.34[/C][C]41.1899189814815[/C][C]41.30625[/C][C]-0.116331018518516[/C][C]0.150081018518520[/C][/ROW]
[ROW][C]13[/C][C]41.33[/C][C]41.2253356481481[/C][C]41.2545833333333[/C][C]-0.0292476851851864[/C][C]0.104664351851852[/C][/ROW]
[ROW][C]14[/C][C]41.29[/C][C]41.1853356481482[/C][C]41.2054166666667[/C][C]-0.0200810185185186[/C][C]0.104664351851845[/C][/ROW]
[ROW][C]15[/C][C]41.29[/C][C]41.1689467592593[/C][C]41.15125[/C][C]0.0176967592592580[/C][C]0.121053240740736[/C][/ROW]
[ROW][C]16[/C][C]41.27[/C][C]41.1278356481481[/C][C]41.0929166666667[/C][C]0.0349189814814835[/C][C]0.142164351851861[/C][/ROW]
[ROW][C]17[/C][C]41.04[/C][C]41.0301967592593[/C][C]41.0145833333333[/C][C]0.0156134259259242[/C][C]0.00980324074073735[/C][/ROW]
[ROW][C]18[/C][C]40.9[/C][C]40.9790856481481[/C][C]40.9145833333333[/C][C]0.064502314814816[/C][C]-0.0790856481481441[/C][/ROW]
[ROW][C]19[/C][C]40.89[/C][C]40.9193634259259[/C][C]40.81125[/C][C]0.10811342592593[/C][C]-0.029363425925915[/C][/ROW]
[ROW][C]20[/C][C]40.72[/C][C]40.6906134259259[/C][C]40.71125[/C][C]-0.0206365740740760[/C][C]0.0293865740740813[/C][/ROW]
[ROW][C]21[/C][C]40.72[/C][C]40.6331134259259[/C][C]40.6120833333333[/C][C]0.0210300925925906[/C][C]0.0868865740740787[/C][/ROW]
[ROW][C]22[/C][C]40.58[/C][C]40.5318634259259[/C][C]40.5129166666667[/C][C]0.0189467592592568[/C][C]0.0481365740740713[/C][/ROW]
[ROW][C]23[/C][C]40.24[/C][C]40.327974537037[/C][C]40.4225[/C][C]-0.0945254629629617[/C][C]-0.0879745370370344[/C][/ROW]
[ROW][C]24[/C][C]40.07[/C][C]40.2274189814815[/C][C]40.34375[/C][C]-0.116331018518516[/C][C]-0.157418981481484[/C][/ROW]
[ROW][C]25[/C][C]40.12[/C][C]40.2415856481481[/C][C]40.2708333333333[/C][C]-0.0292476851851864[/C][C]-0.121585648148148[/C][/ROW]
[ROW][C]26[/C][C]40.1[/C][C]40.1715856481482[/C][C]40.1916666666667[/C][C]-0.0200810185185186[/C][C]-0.071585648148151[/C][/ROW]
[ROW][C]27[/C][C]40.1[/C][C]40.1210300925926[/C][C]40.1033333333333[/C][C]0.0176967592592580[/C][C]-0.0210300925925964[/C][/ROW]
[ROW][C]28[/C][C]40.08[/C][C]40.0561689814815[/C][C]40.02125[/C][C]0.0349189814814835[/C][C]0.0238310185185213[/C][/ROW]
[ROW][C]29[/C][C]40.06[/C][C]39.9706134259259[/C][C]39.955[/C][C]0.0156134259259242[/C][C]0.0893865740740765[/C][/ROW]
[ROW][C]30[/C][C]39.99[/C][C]39.9732523148148[/C][C]39.90875[/C][C]0.064502314814816[/C][C]0.0167476851851802[/C][/ROW]
[ROW][C]31[/C][C]40.05[/C][C]39.9826967592593[/C][C]39.8745833333333[/C][C]0.10811342592593[/C][C]0.0673032407407348[/C][/ROW]
[ROW][C]32[/C][C]39.66[/C][C]39.8210300925926[/C][C]39.8416666666667[/C][C]-0.0206365740740760[/C][C]-0.161030092592597[/C][/ROW]
[ROW][C]33[/C][C]39.66[/C][C]39.8293634259259[/C][C]39.8083333333333[/C][C]0.0210300925925906[/C][C]-0.169363425925930[/C][/ROW]
[ROW][C]34[/C][C]39.67[/C][C]39.7939467592593[/C][C]39.775[/C][C]0.0189467592592568[/C][C]-0.123946759259255[/C][/ROW]
[ROW][C]35[/C][C]39.56[/C][C]39.6513078703704[/C][C]39.7458333333333[/C][C]-0.0945254629629617[/C][C]-0.0913078703703718[/C][/ROW]
[ROW][C]36[/C][C]39.64[/C][C]39.6174189814815[/C][C]39.73375[/C][C]-0.116331018518516[/C][C]0.0225810185185225[/C][/ROW]
[ROW][C]37[/C][C]39.73[/C][C]39.7011689814815[/C][C]39.7304166666667[/C][C]-0.0292476851851864[/C][C]0.0288310185185097[/C][/ROW]
[ROW][C]38[/C][C]39.7[/C][C]39.7211689814815[/C][C]39.74125[/C][C]-0.0200810185185186[/C][C]-0.0211689814814733[/C][/ROW]
[ROW][C]39[/C][C]39.7[/C][C]39.7881134259259[/C][C]39.7704166666667[/C][C]0.0176967592592580[/C][C]-0.0881134259259184[/C][/ROW]
[ROW][C]40[/C][C]39.68[/C][C]39.8340856481482[/C][C]39.7991666666667[/C][C]0.0349189814814835[/C][C]-0.154085648148154[/C][/ROW]
[ROW][C]41[/C][C]39.76[/C][C]39.8472800925926[/C][C]39.8316666666667[/C][C]0.0156134259259242[/C][C]-0.0872800925926[/C][/ROW]
[ROW][C]42[/C][C]40[/C][C]39.9257523148148[/C][C]39.86125[/C][C]0.064502314814816[/C][C]0.0742476851851848[/C][/ROW]
[ROW][C]43[/C][C]39.96[/C][C]39.9860300925926[/C][C]39.8779166666667[/C][C]0.10811342592593[/C][C]-0.0260300925925918[/C][/ROW]
[ROW][C]44[/C][C]40.01[/C][C]39.8664467592593[/C][C]39.8870833333333[/C][C]-0.0206365740740760[/C][C]0.143553240740736[/C][/ROW]
[ROW][C]45[/C][C]40.01[/C][C]39.9156134259259[/C][C]39.8945833333333[/C][C]0.0210300925925906[/C][C]0.094386574074079[/C][/ROW]
[ROW][C]46[/C][C]40.01[/C][C]39.9222800925926[/C][C]39.9033333333333[/C][C]0.0189467592592568[/C][C]0.0877199074074042[/C][/ROW]
[ROW][C]47[/C][C]40[/C][C]39.8088078703704[/C][C]39.9033333333333[/C][C]-0.0945254629629617[/C][C]0.191192129629634[/C][/ROW]
[ROW][C]48[/C][C]39.91[/C][C]39.7632523148148[/C][C]39.8795833333333[/C][C]-0.116331018518516[/C][C]0.146747685185183[/C][/ROW]
[ROW][C]49[/C][C]39.86[/C][C]NA[/C][C]39.8358333333333[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]39.79[/C][C]NA[/C][C]39.7804166666667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]39.79[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]39.8[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]39.64[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]39.55[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]39.36[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]39.28[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112553&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112553&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	41.85	NA	NA	-0.0292476851851864	NA
2	41.75	NA	NA	-0.0200810185185186	NA
3	41.75	NA	NA	0.0176967592592580	NA
4	41.75	NA	NA	0.0349189814814835	NA
5	41.58	NA	NA	0.0156134259259242	NA
6	41.61	NA	NA	0.064502314814816	NA
7	41.42	41.6272800925926	41.5191666666667	0.10811342592593	-0.207280092592590
8	41.37	41.4576967592593	41.4783333333333	-0.0206365740740760	-0.0876967592592592
9	41.37	41.4610300925926	41.44	0.0210300925925906	-0.0910300925925895
10	41.33	41.4197800925926	41.4008333333333	0.0189467592592568	-0.0897800925925907
11	41.37	41.2638078703704	41.3583333333333	-0.0945254629629617	0.106192129629626
12	41.34	41.1899189814815	41.30625	-0.116331018518516	0.150081018518520
13	41.33	41.2253356481481	41.2545833333333	-0.0292476851851864	0.104664351851852
14	41.29	41.1853356481482	41.2054166666667	-0.0200810185185186	0.104664351851845
15	41.29	41.1689467592593	41.15125	0.0176967592592580	0.121053240740736
16	41.27	41.1278356481481	41.0929166666667	0.0349189814814835	0.142164351851861
17	41.04	41.0301967592593	41.0145833333333	0.0156134259259242	0.00980324074073735
18	40.9	40.9790856481481	40.9145833333333	0.064502314814816	-0.0790856481481441
19	40.89	40.9193634259259	40.81125	0.10811342592593	-0.029363425925915
20	40.72	40.6906134259259	40.71125	-0.0206365740740760	0.0293865740740813
21	40.72	40.6331134259259	40.6120833333333	0.0210300925925906	0.0868865740740787
22	40.58	40.5318634259259	40.5129166666667	0.0189467592592568	0.0481365740740713
23	40.24	40.327974537037	40.4225	-0.0945254629629617	-0.0879745370370344
24	40.07	40.2274189814815	40.34375	-0.116331018518516	-0.157418981481484
25	40.12	40.2415856481481	40.2708333333333	-0.0292476851851864	-0.121585648148148
26	40.1	40.1715856481482	40.1916666666667	-0.0200810185185186	-0.071585648148151
27	40.1	40.1210300925926	40.1033333333333	0.0176967592592580	-0.0210300925925964
28	40.08	40.0561689814815	40.02125	0.0349189814814835	0.0238310185185213
29	40.06	39.9706134259259	39.955	0.0156134259259242	0.0893865740740765
30	39.99	39.9732523148148	39.90875	0.064502314814816	0.0167476851851802
31	40.05	39.9826967592593	39.8745833333333	0.10811342592593	0.0673032407407348
32	39.66	39.8210300925926	39.8416666666667	-0.0206365740740760	-0.161030092592597
33	39.66	39.8293634259259	39.8083333333333	0.0210300925925906	-0.169363425925930
34	39.67	39.7939467592593	39.775	0.0189467592592568	-0.123946759259255
35	39.56	39.6513078703704	39.7458333333333	-0.0945254629629617	-0.0913078703703718
36	39.64	39.6174189814815	39.73375	-0.116331018518516	0.0225810185185225
37	39.73	39.7011689814815	39.7304166666667	-0.0292476851851864	0.0288310185185097
38	39.7	39.7211689814815	39.74125	-0.0200810185185186	-0.0211689814814733
39	39.7	39.7881134259259	39.7704166666667	0.0176967592592580	-0.0881134259259184
40	39.68	39.8340856481482	39.7991666666667	0.0349189814814835	-0.154085648148154
41	39.76	39.8472800925926	39.8316666666667	0.0156134259259242	-0.0872800925926
42	40	39.9257523148148	39.86125	0.064502314814816	0.0742476851851848
43	39.96	39.9860300925926	39.8779166666667	0.10811342592593	-0.0260300925925918
44	40.01	39.8664467592593	39.8870833333333	-0.0206365740740760	0.143553240740736
45	40.01	39.9156134259259	39.8945833333333	0.0210300925925906	0.094386574074079
46	40.01	39.9222800925926	39.9033333333333	0.0189467592592568	0.0877199074074042
47	40	39.8088078703704	39.9033333333333	-0.0945254629629617	0.191192129629634
48	39.91	39.7632523148148	39.8795833333333	-0.116331018518516	0.146747685185183
49	39.86	NA	39.8358333333333	NA	NA
50	39.79	NA	39.7804166666667	NA	NA
51	39.79	NA	NA	NA	NA
52	39.8	NA	NA	NA	NA
53	39.64	NA	NA	NA	NA
54	39.55	NA	NA	NA	NA
55	39.36	NA	NA	NA	NA
56	39.28	NA	NA	NA	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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code