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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Fri, 25 Nov 2011 09:59:47 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/25/t1322233250wrwq1yj8zkkuznb.htm/, Retrieved Tue, 16 Apr 2024 08:41:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147332, Retrieved Tue, 16 Apr 2024 08:41:21 +0000

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Estimated Impact

119

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    [Classical Decomposition] [] [2011-11-25 14:59:47] [75a32e1bc492240bc1028714aca23077] [Current]
- R         [Classical Decomposition] [] [2011-12-21 21:40:38] [493236dcc414c5f9e1823f06b33a5ad6] 
- RM          [Central Tendency] [] [2011-12-22 00:40:07] [493236dcc414c5f9e1823f06b33a5ad6] 
- RM D          [Mean Plot] [] [2011-12-22 00:58:52] [493236dcc414c5f9e1823f06b33a5ad6] 

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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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147332&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147332&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147332&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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	1.0622	NA	NA	0.0228980902777777	NA
2	1.0773	NA	NA	0.0138199652777777	NA
3	1.0807	NA	NA	0.00977309027777779	NA
4	1.0848	NA	NA	0.00397204861111112	NA
5	1.1582	NA	NA	0.00502517361111128	NA
6	1.1663	NA	NA	-0.0157102430555555	NA
7	1.1372	1.12823871527778	1.13919583333333	-0.0109571180555557	0.00896128472222246
8	1.1139	1.14094079861111	1.15529583333333	-0.0143550347222223	-0.027040798611111
9	1.1222	1.14999913194444	1.1691625	-0.0191633680555556	-0.0277991319444442
10	1.1692	1.16510850694444	1.1799625	-0.0148539930555556	0.00409149305555578
11	1.1702	1.18062829861111	1.18647083333333	-0.00584253472222217	-0.0104282986111111
12	1.2286	1.21561475694444	1.19022083333333	0.025393923611111	0.0129852430555553
13	1.2613	1.21882309027778	1.195925	0.0228980902777777	0.0424769097222224
14	1.2646	1.21779079861111	1.20397083333333	0.0138199652777777	0.046809201388889
15	1.2262	1.22221475694444	1.21244166666667	0.00977309027777779	0.00398524305555581
16	1.1985	1.22388871527778	1.21991666666667	0.00397204861111112	-0.0253887152777779
17	1.2007	1.23363767361111	1.2286125	0.00502517361111128	-0.0329376736111109
18	1.2138	1.22294809027778	1.23865833333333	-0.0157102430555555	-0.00914809027777763
19	1.2266	1.23448454861111	1.24544166666667	-0.0109571180555557	-0.00788454861111099
20	1.2176	1.23472829861111	1.24908333333333	-0.0143550347222223	-0.0171282986111108
21	1.2218	1.23536579861111	1.25452916666667	-0.0191633680555556	-0.0135657986111111
22	1.249	1.24755850694444	1.2624125	-0.0148539930555556	0.00144149305555552
23	1.2991	1.26340329861111	1.26924583333333	-0.00584253472222217	0.0356967013888889
24	1.3408	1.29761475694444	1.27222083333333	0.025393923611111	0.0431852430555557
25	1.3119	1.29427725694444	1.27137916666667	0.0228980902777777	0.0176227430555558
26	1.3014	1.28472829861111	1.27090833333333	0.0138199652777777	0.0166717013888891
27	1.3201	1.28132309027778	1.27155	0.00977309027777779	0.0387769097222224
28	1.2938	1.27370121527778	1.26972916666667	0.00397204861111112	0.020098784722222
29	1.2694	1.26775434027778	1.26272916666667	0.00502517361111128	0.0016456597222223
30	1.2165	1.23553142361111	1.25124166666667	-0.0157102430555555	-0.0190314236111111
31	1.2037	1.22958454861111	1.24054166666667	-0.0109571180555557	-0.025884548611111
32	1.2292	1.21746996527778	1.231825	-0.0143550347222223	0.0117300347222224
33	1.2256	1.20325746527778	1.22242083333333	-0.0191633680555556	0.0223425347222224
34	1.2015	1.19986684027778	1.21472083333333	-0.0148539930555556	0.00163315972222233
35	1.1786	1.20641579861111	1.21225833333333	-0.00584253472222217	-0.0278157986111107
36	1.1856	1.23998975694444	1.21459583333333	0.025393923611111	-0.0543897569444443
37	1.2103	1.24221059027778	1.2193125	0.0228980902777777	-0.0319105902777779
38	1.1938	1.23799079861111	1.22417083333333	0.0138199652777777	-0.044190798611111
39	1.202	1.23806892361111	1.22829583333333	0.00977309027777779	-0.0360689236111109
40	1.2271	1.23671371527778	1.23274166666667	0.00397204861111112	-0.00961371527777755
41	1.277	1.24481267361111	1.2397875	0.00502517361111128	0.0321873263888888
42	1.265	1.23429392361111	1.25000416666667	-0.0157102430555555	0.0307060763888891
43	1.2684	1.24843454861111	1.25939166666667	-0.0109571180555557	0.0199654513888889
44	1.2811	1.25350329861111	1.26785833333333	-0.0143550347222223	0.0275967013888889
45	1.2727	1.25851996527778	1.27768333333333	-0.0191633680555556	0.0141800347222225
46	1.2611	1.27310850694444	1.2879625	-0.0148539930555556	-0.0120085069444442
47	1.2881	1.29039496527778	1.2962375	-0.00584253472222217	-0.00229496527777773
48	1.3213	1.32792309027778	1.30252916666667	0.025393923611111	-0.00662309027777774
49	1.2999	1.33293142361111	1.31003333333333	0.0228980902777777	-0.0330314236111111
50	1.3074	1.33153246527778	1.3177125	0.0138199652777777	-0.0241324652777777
51	1.3242	1.33573559027778	1.3259625	0.00977309027777779	-0.0115355902777776
52	1.3516	1.34153871527778	1.33756666666667	0.00397204861111112	0.0100612847222223
53	1.3511	1.35683767361111	1.3518125	0.00502517361111128	-0.00573767361111099
54	1.3419	1.34926892361111	1.36497916666667	-0.0157102430555555	-0.00736892361111074
55	1.3716	NA	NA	-0.0109571180555557	NA
56	1.3622	NA	NA	-0.0143550347222223	NA
57	1.3896	NA	NA	-0.0191633680555556	NA
58	1.4227	NA	NA	-0.0148539930555556	NA
59	1.4684	NA	NA	-0.00584253472222217	NA
60	1.457	NA	NA	0.025393923611111	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 1.0622 & NA & NA & 0.0228980902777777 & NA \tabularnewline
2 & 1.0773 & NA & NA & 0.0138199652777777 & NA \tabularnewline
3 & 1.0807 & NA & NA & 0.00977309027777779 & NA \tabularnewline
4 & 1.0848 & NA & NA & 0.00397204861111112 & NA \tabularnewline
5 & 1.1582 & NA & NA & 0.00502517361111128 & NA \tabularnewline
6 & 1.1663 & NA & NA & -0.0157102430555555 & NA \tabularnewline
7 & 1.1372 & 1.12823871527778 & 1.13919583333333 & -0.0109571180555557 & 0.00896128472222246 \tabularnewline
8 & 1.1139 & 1.14094079861111 & 1.15529583333333 & -0.0143550347222223 & -0.027040798611111 \tabularnewline
9 & 1.1222 & 1.14999913194444 & 1.1691625 & -0.0191633680555556 & -0.0277991319444442 \tabularnewline
10 & 1.1692 & 1.16510850694444 & 1.1799625 & -0.0148539930555556 & 0.00409149305555578 \tabularnewline
11 & 1.1702 & 1.18062829861111 & 1.18647083333333 & -0.00584253472222217 & -0.0104282986111111 \tabularnewline
12 & 1.2286 & 1.21561475694444 & 1.19022083333333 & 0.025393923611111 & 0.0129852430555553 \tabularnewline
13 & 1.2613 & 1.21882309027778 & 1.195925 & 0.0228980902777777 & 0.0424769097222224 \tabularnewline
14 & 1.2646 & 1.21779079861111 & 1.20397083333333 & 0.0138199652777777 & 0.046809201388889 \tabularnewline
15 & 1.2262 & 1.22221475694444 & 1.21244166666667 & 0.00977309027777779 & 0.00398524305555581 \tabularnewline
16 & 1.1985 & 1.22388871527778 & 1.21991666666667 & 0.00397204861111112 & -0.0253887152777779 \tabularnewline
17 & 1.2007 & 1.23363767361111 & 1.2286125 & 0.00502517361111128 & -0.0329376736111109 \tabularnewline
18 & 1.2138 & 1.22294809027778 & 1.23865833333333 & -0.0157102430555555 & -0.00914809027777763 \tabularnewline
19 & 1.2266 & 1.23448454861111 & 1.24544166666667 & -0.0109571180555557 & -0.00788454861111099 \tabularnewline
20 & 1.2176 & 1.23472829861111 & 1.24908333333333 & -0.0143550347222223 & -0.0171282986111108 \tabularnewline
21 & 1.2218 & 1.23536579861111 & 1.25452916666667 & -0.0191633680555556 & -0.0135657986111111 \tabularnewline
22 & 1.249 & 1.24755850694444 & 1.2624125 & -0.0148539930555556 & 0.00144149305555552 \tabularnewline
23 & 1.2991 & 1.26340329861111 & 1.26924583333333 & -0.00584253472222217 & 0.0356967013888889 \tabularnewline
24 & 1.3408 & 1.29761475694444 & 1.27222083333333 & 0.025393923611111 & 0.0431852430555557 \tabularnewline
25 & 1.3119 & 1.29427725694444 & 1.27137916666667 & 0.0228980902777777 & 0.0176227430555558 \tabularnewline
26 & 1.3014 & 1.28472829861111 & 1.27090833333333 & 0.0138199652777777 & 0.0166717013888891 \tabularnewline
27 & 1.3201 & 1.28132309027778 & 1.27155 & 0.00977309027777779 & 0.0387769097222224 \tabularnewline
28 & 1.2938 & 1.27370121527778 & 1.26972916666667 & 0.00397204861111112 & 0.020098784722222 \tabularnewline
29 & 1.2694 & 1.26775434027778 & 1.26272916666667 & 0.00502517361111128 & 0.0016456597222223 \tabularnewline
30 & 1.2165 & 1.23553142361111 & 1.25124166666667 & -0.0157102430555555 & -0.0190314236111111 \tabularnewline
31 & 1.2037 & 1.22958454861111 & 1.24054166666667 & -0.0109571180555557 & -0.025884548611111 \tabularnewline
32 & 1.2292 & 1.21746996527778 & 1.231825 & -0.0143550347222223 & 0.0117300347222224 \tabularnewline
33 & 1.2256 & 1.20325746527778 & 1.22242083333333 & -0.0191633680555556 & 0.0223425347222224 \tabularnewline
34 & 1.2015 & 1.19986684027778 & 1.21472083333333 & -0.0148539930555556 & 0.00163315972222233 \tabularnewline
35 & 1.1786 & 1.20641579861111 & 1.21225833333333 & -0.00584253472222217 & -0.0278157986111107 \tabularnewline
36 & 1.1856 & 1.23998975694444 & 1.21459583333333 & 0.025393923611111 & -0.0543897569444443 \tabularnewline
37 & 1.2103 & 1.24221059027778 & 1.2193125 & 0.0228980902777777 & -0.0319105902777779 \tabularnewline
38 & 1.1938 & 1.23799079861111 & 1.22417083333333 & 0.0138199652777777 & -0.044190798611111 \tabularnewline
39 & 1.202 & 1.23806892361111 & 1.22829583333333 & 0.00977309027777779 & -0.0360689236111109 \tabularnewline
40 & 1.2271 & 1.23671371527778 & 1.23274166666667 & 0.00397204861111112 & -0.00961371527777755 \tabularnewline
41 & 1.277 & 1.24481267361111 & 1.2397875 & 0.00502517361111128 & 0.0321873263888888 \tabularnewline
42 & 1.265 & 1.23429392361111 & 1.25000416666667 & -0.0157102430555555 & 0.0307060763888891 \tabularnewline
43 & 1.2684 & 1.24843454861111 & 1.25939166666667 & -0.0109571180555557 & 0.0199654513888889 \tabularnewline
44 & 1.2811 & 1.25350329861111 & 1.26785833333333 & -0.0143550347222223 & 0.0275967013888889 \tabularnewline
45 & 1.2727 & 1.25851996527778 & 1.27768333333333 & -0.0191633680555556 & 0.0141800347222225 \tabularnewline
46 & 1.2611 & 1.27310850694444 & 1.2879625 & -0.0148539930555556 & -0.0120085069444442 \tabularnewline
47 & 1.2881 & 1.29039496527778 & 1.2962375 & -0.00584253472222217 & -0.00229496527777773 \tabularnewline
48 & 1.3213 & 1.32792309027778 & 1.30252916666667 & 0.025393923611111 & -0.00662309027777774 \tabularnewline
49 & 1.2999 & 1.33293142361111 & 1.31003333333333 & 0.0228980902777777 & -0.0330314236111111 \tabularnewline
50 & 1.3074 & 1.33153246527778 & 1.3177125 & 0.0138199652777777 & -0.0241324652777777 \tabularnewline
51 & 1.3242 & 1.33573559027778 & 1.3259625 & 0.00977309027777779 & -0.0115355902777776 \tabularnewline
52 & 1.3516 & 1.34153871527778 & 1.33756666666667 & 0.00397204861111112 & 0.0100612847222223 \tabularnewline
53 & 1.3511 & 1.35683767361111 & 1.3518125 & 0.00502517361111128 & -0.00573767361111099 \tabularnewline
54 & 1.3419 & 1.34926892361111 & 1.36497916666667 & -0.0157102430555555 & -0.00736892361111074 \tabularnewline
55 & 1.3716 & NA & NA & -0.0109571180555557 & NA \tabularnewline
56 & 1.3622 & NA & NA & -0.0143550347222223 & NA \tabularnewline
57 & 1.3896 & NA & NA & -0.0191633680555556 & NA \tabularnewline
58 & 1.4227 & NA & NA & -0.0148539930555556 & NA \tabularnewline
59 & 1.4684 & NA & NA & -0.00584253472222217 & NA \tabularnewline
60 & 1.457 & NA & NA & 0.025393923611111 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147332&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]1.0622[/C][C]NA[/C][C]NA[/C][C]0.0228980902777777[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1.0773[/C][C]NA[/C][C]NA[/C][C]0.0138199652777777[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]1.0807[/C][C]NA[/C][C]NA[/C][C]0.00977309027777779[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1.0848[/C][C]NA[/C][C]NA[/C][C]0.00397204861111112[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]1.1582[/C][C]NA[/C][C]NA[/C][C]0.00502517361111128[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]1.1663[/C][C]NA[/C][C]NA[/C][C]-0.0157102430555555[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]1.1372[/C][C]1.12823871527778[/C][C]1.13919583333333[/C][C]-0.0109571180555557[/C][C]0.00896128472222246[/C][/ROW]
[ROW][C]8[/C][C]1.1139[/C][C]1.14094079861111[/C][C]1.15529583333333[/C][C]-0.0143550347222223[/C][C]-0.027040798611111[/C][/ROW]
[ROW][C]9[/C][C]1.1222[/C][C]1.14999913194444[/C][C]1.1691625[/C][C]-0.0191633680555556[/C][C]-0.0277991319444442[/C][/ROW]
[ROW][C]10[/C][C]1.1692[/C][C]1.16510850694444[/C][C]1.1799625[/C][C]-0.0148539930555556[/C][C]0.00409149305555578[/C][/ROW]
[ROW][C]11[/C][C]1.1702[/C][C]1.18062829861111[/C][C]1.18647083333333[/C][C]-0.00584253472222217[/C][C]-0.0104282986111111[/C][/ROW]
[ROW][C]12[/C][C]1.2286[/C][C]1.21561475694444[/C][C]1.19022083333333[/C][C]0.025393923611111[/C][C]0.0129852430555553[/C][/ROW]
[ROW][C]13[/C][C]1.2613[/C][C]1.21882309027778[/C][C]1.195925[/C][C]0.0228980902777777[/C][C]0.0424769097222224[/C][/ROW]
[ROW][C]14[/C][C]1.2646[/C][C]1.21779079861111[/C][C]1.20397083333333[/C][C]0.0138199652777777[/C][C]0.046809201388889[/C][/ROW]
[ROW][C]15[/C][C]1.2262[/C][C]1.22221475694444[/C][C]1.21244166666667[/C][C]0.00977309027777779[/C][C]0.00398524305555581[/C][/ROW]
[ROW][C]16[/C][C]1.1985[/C][C]1.22388871527778[/C][C]1.21991666666667[/C][C]0.00397204861111112[/C][C]-0.0253887152777779[/C][/ROW]
[ROW][C]17[/C][C]1.2007[/C][C]1.23363767361111[/C][C]1.2286125[/C][C]0.00502517361111128[/C][C]-0.0329376736111109[/C][/ROW]
[ROW][C]18[/C][C]1.2138[/C][C]1.22294809027778[/C][C]1.23865833333333[/C][C]-0.0157102430555555[/C][C]-0.00914809027777763[/C][/ROW]
[ROW][C]19[/C][C]1.2266[/C][C]1.23448454861111[/C][C]1.24544166666667[/C][C]-0.0109571180555557[/C][C]-0.00788454861111099[/C][/ROW]
[ROW][C]20[/C][C]1.2176[/C][C]1.23472829861111[/C][C]1.24908333333333[/C][C]-0.0143550347222223[/C][C]-0.0171282986111108[/C][/ROW]
[ROW][C]21[/C][C]1.2218[/C][C]1.23536579861111[/C][C]1.25452916666667[/C][C]-0.0191633680555556[/C][C]-0.0135657986111111[/C][/ROW]
[ROW][C]22[/C][C]1.249[/C][C]1.24755850694444[/C][C]1.2624125[/C][C]-0.0148539930555556[/C][C]0.00144149305555552[/C][/ROW]
[ROW][C]23[/C][C]1.2991[/C][C]1.26340329861111[/C][C]1.26924583333333[/C][C]-0.00584253472222217[/C][C]0.0356967013888889[/C][/ROW]
[ROW][C]24[/C][C]1.3408[/C][C]1.29761475694444[/C][C]1.27222083333333[/C][C]0.025393923611111[/C][C]0.0431852430555557[/C][/ROW]
[ROW][C]25[/C][C]1.3119[/C][C]1.29427725694444[/C][C]1.27137916666667[/C][C]0.0228980902777777[/C][C]0.0176227430555558[/C][/ROW]
[ROW][C]26[/C][C]1.3014[/C][C]1.28472829861111[/C][C]1.27090833333333[/C][C]0.0138199652777777[/C][C]0.0166717013888891[/C][/ROW]
[ROW][C]27[/C][C]1.3201[/C][C]1.28132309027778[/C][C]1.27155[/C][C]0.00977309027777779[/C][C]0.0387769097222224[/C][/ROW]
[ROW][C]28[/C][C]1.2938[/C][C]1.27370121527778[/C][C]1.26972916666667[/C][C]0.00397204861111112[/C][C]0.020098784722222[/C][/ROW]
[ROW][C]29[/C][C]1.2694[/C][C]1.26775434027778[/C][C]1.26272916666667[/C][C]0.00502517361111128[/C][C]0.0016456597222223[/C][/ROW]
[ROW][C]30[/C][C]1.2165[/C][C]1.23553142361111[/C][C]1.25124166666667[/C][C]-0.0157102430555555[/C][C]-0.0190314236111111[/C][/ROW]
[ROW][C]31[/C][C]1.2037[/C][C]1.22958454861111[/C][C]1.24054166666667[/C][C]-0.0109571180555557[/C][C]-0.025884548611111[/C][/ROW]
[ROW][C]32[/C][C]1.2292[/C][C]1.21746996527778[/C][C]1.231825[/C][C]-0.0143550347222223[/C][C]0.0117300347222224[/C][/ROW]
[ROW][C]33[/C][C]1.2256[/C][C]1.20325746527778[/C][C]1.22242083333333[/C][C]-0.0191633680555556[/C][C]0.0223425347222224[/C][/ROW]
[ROW][C]34[/C][C]1.2015[/C][C]1.19986684027778[/C][C]1.21472083333333[/C][C]-0.0148539930555556[/C][C]0.00163315972222233[/C][/ROW]
[ROW][C]35[/C][C]1.1786[/C][C]1.20641579861111[/C][C]1.21225833333333[/C][C]-0.00584253472222217[/C][C]-0.0278157986111107[/C][/ROW]
[ROW][C]36[/C][C]1.1856[/C][C]1.23998975694444[/C][C]1.21459583333333[/C][C]0.025393923611111[/C][C]-0.0543897569444443[/C][/ROW]
[ROW][C]37[/C][C]1.2103[/C][C]1.24221059027778[/C][C]1.2193125[/C][C]0.0228980902777777[/C][C]-0.0319105902777779[/C][/ROW]
[ROW][C]38[/C][C]1.1938[/C][C]1.23799079861111[/C][C]1.22417083333333[/C][C]0.0138199652777777[/C][C]-0.044190798611111[/C][/ROW]
[ROW][C]39[/C][C]1.202[/C][C]1.23806892361111[/C][C]1.22829583333333[/C][C]0.00977309027777779[/C][C]-0.0360689236111109[/C][/ROW]
[ROW][C]40[/C][C]1.2271[/C][C]1.23671371527778[/C][C]1.23274166666667[/C][C]0.00397204861111112[/C][C]-0.00961371527777755[/C][/ROW]
[ROW][C]41[/C][C]1.277[/C][C]1.24481267361111[/C][C]1.2397875[/C][C]0.00502517361111128[/C][C]0.0321873263888888[/C][/ROW]
[ROW][C]42[/C][C]1.265[/C][C]1.23429392361111[/C][C]1.25000416666667[/C][C]-0.0157102430555555[/C][C]0.0307060763888891[/C][/ROW]
[ROW][C]43[/C][C]1.2684[/C][C]1.24843454861111[/C][C]1.25939166666667[/C][C]-0.0109571180555557[/C][C]0.0199654513888889[/C][/ROW]
[ROW][C]44[/C][C]1.2811[/C][C]1.25350329861111[/C][C]1.26785833333333[/C][C]-0.0143550347222223[/C][C]0.0275967013888889[/C][/ROW]
[ROW][C]45[/C][C]1.2727[/C][C]1.25851996527778[/C][C]1.27768333333333[/C][C]-0.0191633680555556[/C][C]0.0141800347222225[/C][/ROW]
[ROW][C]46[/C][C]1.2611[/C][C]1.27310850694444[/C][C]1.2879625[/C][C]-0.0148539930555556[/C][C]-0.0120085069444442[/C][/ROW]
[ROW][C]47[/C][C]1.2881[/C][C]1.29039496527778[/C][C]1.2962375[/C][C]-0.00584253472222217[/C][C]-0.00229496527777773[/C][/ROW]
[ROW][C]48[/C][C]1.3213[/C][C]1.32792309027778[/C][C]1.30252916666667[/C][C]0.025393923611111[/C][C]-0.00662309027777774[/C][/ROW]
[ROW][C]49[/C][C]1.2999[/C][C]1.33293142361111[/C][C]1.31003333333333[/C][C]0.0228980902777777[/C][C]-0.0330314236111111[/C][/ROW]
[ROW][C]50[/C][C]1.3074[/C][C]1.33153246527778[/C][C]1.3177125[/C][C]0.0138199652777777[/C][C]-0.0241324652777777[/C][/ROW]
[ROW][C]51[/C][C]1.3242[/C][C]1.33573559027778[/C][C]1.3259625[/C][C]0.00977309027777779[/C][C]-0.0115355902777776[/C][/ROW]
[ROW][C]52[/C][C]1.3516[/C][C]1.34153871527778[/C][C]1.33756666666667[/C][C]0.00397204861111112[/C][C]0.0100612847222223[/C][/ROW]
[ROW][C]53[/C][C]1.3511[/C][C]1.35683767361111[/C][C]1.3518125[/C][C]0.00502517361111128[/C][C]-0.00573767361111099[/C][/ROW]
[ROW][C]54[/C][C]1.3419[/C][C]1.34926892361111[/C][C]1.36497916666667[/C][C]-0.0157102430555555[/C][C]-0.00736892361111074[/C][/ROW]
[ROW][C]55[/C][C]1.3716[/C][C]NA[/C][C]NA[/C][C]-0.0109571180555557[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]1.3622[/C][C]NA[/C][C]NA[/C][C]-0.0143550347222223[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]1.3896[/C][C]NA[/C][C]NA[/C][C]-0.0191633680555556[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]1.4227[/C][C]NA[/C][C]NA[/C][C]-0.0148539930555556[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]1.4684[/C][C]NA[/C][C]NA[/C][C]-0.00584253472222217[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]1.457[/C][C]NA[/C][C]NA[/C][C]0.025393923611111[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147332&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147332&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	1.0622	NA	NA	0.0228980902777777	NA
2	1.0773	NA	NA	0.0138199652777777	NA
3	1.0807	NA	NA	0.00977309027777779	NA
4	1.0848	NA	NA	0.00397204861111112	NA
5	1.1582	NA	NA	0.00502517361111128	NA
6	1.1663	NA	NA	-0.0157102430555555	NA
7	1.1372	1.12823871527778	1.13919583333333	-0.0109571180555557	0.00896128472222246
8	1.1139	1.14094079861111	1.15529583333333	-0.0143550347222223	-0.027040798611111
9	1.1222	1.14999913194444	1.1691625	-0.0191633680555556	-0.0277991319444442
10	1.1692	1.16510850694444	1.1799625	-0.0148539930555556	0.00409149305555578
11	1.1702	1.18062829861111	1.18647083333333	-0.00584253472222217	-0.0104282986111111
12	1.2286	1.21561475694444	1.19022083333333	0.025393923611111	0.0129852430555553
13	1.2613	1.21882309027778	1.195925	0.0228980902777777	0.0424769097222224
14	1.2646	1.21779079861111	1.20397083333333	0.0138199652777777	0.046809201388889
15	1.2262	1.22221475694444	1.21244166666667	0.00977309027777779	0.00398524305555581
16	1.1985	1.22388871527778	1.21991666666667	0.00397204861111112	-0.0253887152777779
17	1.2007	1.23363767361111	1.2286125	0.00502517361111128	-0.0329376736111109
18	1.2138	1.22294809027778	1.23865833333333	-0.0157102430555555	-0.00914809027777763
19	1.2266	1.23448454861111	1.24544166666667	-0.0109571180555557	-0.00788454861111099
20	1.2176	1.23472829861111	1.24908333333333	-0.0143550347222223	-0.0171282986111108
21	1.2218	1.23536579861111	1.25452916666667	-0.0191633680555556	-0.0135657986111111
22	1.249	1.24755850694444	1.2624125	-0.0148539930555556	0.00144149305555552
23	1.2991	1.26340329861111	1.26924583333333	-0.00584253472222217	0.0356967013888889
24	1.3408	1.29761475694444	1.27222083333333	0.025393923611111	0.0431852430555557
25	1.3119	1.29427725694444	1.27137916666667	0.0228980902777777	0.0176227430555558
26	1.3014	1.28472829861111	1.27090833333333	0.0138199652777777	0.0166717013888891
27	1.3201	1.28132309027778	1.27155	0.00977309027777779	0.0387769097222224
28	1.2938	1.27370121527778	1.26972916666667	0.00397204861111112	0.020098784722222
29	1.2694	1.26775434027778	1.26272916666667	0.00502517361111128	0.0016456597222223
30	1.2165	1.23553142361111	1.25124166666667	-0.0157102430555555	-0.0190314236111111
31	1.2037	1.22958454861111	1.24054166666667	-0.0109571180555557	-0.025884548611111
32	1.2292	1.21746996527778	1.231825	-0.0143550347222223	0.0117300347222224
33	1.2256	1.20325746527778	1.22242083333333	-0.0191633680555556	0.0223425347222224
34	1.2015	1.19986684027778	1.21472083333333	-0.0148539930555556	0.00163315972222233
35	1.1786	1.20641579861111	1.21225833333333	-0.00584253472222217	-0.0278157986111107
36	1.1856	1.23998975694444	1.21459583333333	0.025393923611111	-0.0543897569444443
37	1.2103	1.24221059027778	1.2193125	0.0228980902777777	-0.0319105902777779
38	1.1938	1.23799079861111	1.22417083333333	0.0138199652777777	-0.044190798611111
39	1.202	1.23806892361111	1.22829583333333	0.00977309027777779	-0.0360689236111109
40	1.2271	1.23671371527778	1.23274166666667	0.00397204861111112	-0.00961371527777755
41	1.277	1.24481267361111	1.2397875	0.00502517361111128	0.0321873263888888
42	1.265	1.23429392361111	1.25000416666667	-0.0157102430555555	0.0307060763888891
43	1.2684	1.24843454861111	1.25939166666667	-0.0109571180555557	0.0199654513888889
44	1.2811	1.25350329861111	1.26785833333333	-0.0143550347222223	0.0275967013888889
45	1.2727	1.25851996527778	1.27768333333333	-0.0191633680555556	0.0141800347222225
46	1.2611	1.27310850694444	1.2879625	-0.0148539930555556	-0.0120085069444442
47	1.2881	1.29039496527778	1.2962375	-0.00584253472222217	-0.00229496527777773
48	1.3213	1.32792309027778	1.30252916666667	0.025393923611111	-0.00662309027777774
49	1.2999	1.33293142361111	1.31003333333333	0.0228980902777777	-0.0330314236111111
50	1.3074	1.33153246527778	1.3177125	0.0138199652777777	-0.0241324652777777
51	1.3242	1.33573559027778	1.3259625	0.00977309027777779	-0.0115355902777776
52	1.3516	1.34153871527778	1.33756666666667	0.00397204861111112	0.0100612847222223
53	1.3511	1.35683767361111	1.3518125	0.00502517361111128	-0.00573767361111099
54	1.3419	1.34926892361111	1.36497916666667	-0.0157102430555555	-0.00736892361111074
55	1.3716	NA	NA	-0.0109571180555557	NA
56	1.3622	NA	NA	-0.0143550347222223	NA
57	1.3896	NA	NA	-0.0191633680555556	NA
58	1.4227	NA	NA	-0.0148539930555556	NA
59	1.4684	NA	NA	-0.00584253472222217	NA
60	1.457	NA	NA	0.025393923611111	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