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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Thu, 22 May 2008 12:04:43 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/May/22/t12114795128ebwy4qo7qa8ld9.htm/, Retrieved Tue, 14 May 2024 02:25:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13035, Retrieved Tue, 14 May 2024 02:25:08 +0000

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Estimated Impact

214

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-       [Classical Decomposition] [] [2008-05-22 18:04:43] [0344071b671470f3024f96efc0c7614f] [Current]

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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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13035&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13035&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13035&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	'Gwilym Jenkins' @ 72.249.127.135

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	12.23	NA	NA	0.997399534356366	NA
2	12.25	NA	NA	1.00035195171650	NA
3	12.33	NA	NA	1.00194448072618	NA
4	12.37	NA	NA	1.00266432985917	NA
5	12.38	NA	NA	1.00279338979910	NA
6	12.41	NA	NA	1.00163740479876	NA
7	12.41	12.3919797185655	12.39125	1.00005888982673	1.00145418906775
8	12.41	12.3981821821109	12.41	0.999047718139473	1.00095318956566
9	12.43	12.4216797868015	12.4283333333333	0.999464646919797	1.00066981385298
10	12.44	12.4289354506033	12.44625	0.998608854120981	1.00089022502697
11	12.46	12.4519761042026	12.4641666666667	0.99902195126316	1.00064438734304
12	12.46	12.4447225665538	12.4820833333333	0.997006848473782	1.00122762346565
13	12.46	12.4670785963153	12.4995833333333	0.997399534356366	0.999432216917495
14	12.47	12.5231559955510	12.51875	1.00035195171650	0.99575538342173
15	12.55	12.5648012651733	12.5404166666667	1.00194448072618	0.998822005628188
16	12.58	12.5984773046804	12.565	1.00266432985917	0.99853337000706
17	12.6	12.6272579304661	12.5920833333333	1.00279338979910	0.997841342069976
18	12.62	12.641081397479	12.6204166666667	1.00163740479876	0.998332310597793
19	12.62	12.6524117211245	12.6516666666667	1.00005888982673	0.997438296995157
20	12.66	12.6795806227201	12.6916666666667	0.999047718139473	0.998455735776856
21	12.7	12.7306809401409	12.7375	0.999464646919797	0.997590000072645
22	12.76	12.7659659388691	12.78375	0.998608854120981	0.999532668432795
23	12.79	12.8187004121454	12.83125	0.99902195126316	0.997761051337292
24	12.81	12.8397865302615	12.8783333333333	0.997006848473782	0.99768013820235
25	12.86	12.8913889815560	12.925	0.997399534356366	0.997565120282932
26	13.03	12.9749816270763	12.9704166666667	1.00035195171650	1.00424034303131
27	13.09	13.0382200323164	13.0129166666667	1.00194448072618	1.00397139851569
28	13.15	13.0860228350744	13.05125	1.00266432985917	1.00488896937839
29	13.17	13.1248941501539	13.0883333333333	1.00279338979910	1.00343666389459
30	13.18	13.1469082869024	13.1254166666667	1.00163740479876	1.00251707187541
31	13.18	13.1624417549361	13.1616666666667	1.00005888982673	1.00133396564184
32	13.19	13.1807695613201	13.1933333333333	0.999047718139473	1.00070029588462
33	13.19	13.2104239706624	13.2175	0.999464646919797	0.998453950402517
34	13.19	13.2182525323814	13.2366666666667	0.998608854120981	0.997862612148453
35	13.25	13.2399546682614	13.2529166666667	0.99902195126316	1.00075871345411
36	13.24	13.2290346206865	13.26875	0.997006848473782	1.00082888733970
37	13.3	13.2504528139243	13.285	0.997399534356366	1.00373928248125
38	13.35	13.3063482110824	13.3016666666667	1.00035195171650	1.00328052356854
39	13.35	13.3446480526719	13.31875	1.00194448072618	1.00040105571215
40	13.35	13.3717821690843	13.33625	1.00266432985917	0.998371034705107
41	13.36	13.3902165678715	13.3529166666667	1.00279338979910	0.997743384678031
42	13.37	13.3910574043221	13.3691666666667	1.00163740479876	0.998427502497652
43	13.38	13.3841214755144	13.3833333333333	1.00005888982673	0.999692062305177
44	13.39	13.3814116447131	13.3941666666667	0.999047718139473	1.00064181235246
45	13.4	13.3990729227685	13.40625	0.999464646919797	1.00006918965490
46	13.4	13.4042434314614	13.4229166666667	0.998608854120981	0.99968342626101
47	13.44	13.4314338755868	13.4445833333333	0.99902195126316	1.00063776693483
48	13.44	13.4284359903813	13.46875	0.997006848473782	1.00086115833795
49	13.44	13.4582443835819	13.4933333333333	0.997399534356366	0.998644371207574
50	13.47	13.5226743206410	13.5179166666667	1.00035195171650	0.996104740867667
51	13.52	13.5717554683031	13.5454166666667	1.00194448072618	0.996186531033219
52	13.58	13.6128393850546	13.5766666666667	1.00266432985917	0.997587616798692
53	13.65	13.6450932211121	13.6070833333333	1.00279338979910	1.00035960024665
54	13.66	13.6585780611871	13.63625	1.00163740479876	1.00010410591839
55	13.68	13.6674714942986	13.6666666666667	1.00005888982673	1.00091666594707
56	13.68	13.6857049288631	13.69875	0.999047718139473	0.999583146875316
57	13.77	13.7251482638261	13.7325	0.999464646919797	1.00326785075919
58	13.78	13.7483473991106	13.7675	0.998608854120981	1.00230228404699
59	13.79	13.7869191865780	13.8004166666667	0.99902195126316	1.00022345916302
60	13.79	13.789850972953	13.83125	0.997006848473782	1.00001080700925
61	13.82	13.8268666281544	13.8629166666667	0.997399534356366	0.999503385087952
62	13.86	13.9015576223537	13.8966666666667	1.00035195171650	0.997010577988265
63	13.94	13.9549992321809	13.9279166666667	1.00194448072618	0.998925171407656
64	14	13.9946873840093	13.9575	1.00266432985917	1.00037961662486
65	14.02	14.0282438621312	13.9891666666667	1.00279338979910	0.9994123382647
66	14.03	14.0437911131159	14.0208333333333	1.00163740479876	0.999017992150064
67	14.07	NA	NA	1.00005888982673	NA
68	14.1	NA	NA	0.999047718139473	NA
69	14.1	NA	NA	0.999464646919797	NA
70	14.16	NA	NA	0.998608854120981	NA
71	14.17	NA	NA	0.99902195126316	NA
72	14.17	NA	NA	0.997006848473782	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 12.23 & NA & NA & 0.997399534356366 & NA \tabularnewline
2 & 12.25 & NA & NA & 1.00035195171650 & NA \tabularnewline
3 & 12.33 & NA & NA & 1.00194448072618 & NA \tabularnewline
4 & 12.37 & NA & NA & 1.00266432985917 & NA \tabularnewline
5 & 12.38 & NA & NA & 1.00279338979910 & NA \tabularnewline
6 & 12.41 & NA & NA & 1.00163740479876 & NA \tabularnewline
7 & 12.41 & 12.3919797185655 & 12.39125 & 1.00005888982673 & 1.00145418906775 \tabularnewline
8 & 12.41 & 12.3981821821109 & 12.41 & 0.999047718139473 & 1.00095318956566 \tabularnewline
9 & 12.43 & 12.4216797868015 & 12.4283333333333 & 0.999464646919797 & 1.00066981385298 \tabularnewline
10 & 12.44 & 12.4289354506033 & 12.44625 & 0.998608854120981 & 1.00089022502697 \tabularnewline
11 & 12.46 & 12.4519761042026 & 12.4641666666667 & 0.99902195126316 & 1.00064438734304 \tabularnewline
12 & 12.46 & 12.4447225665538 & 12.4820833333333 & 0.997006848473782 & 1.00122762346565 \tabularnewline
13 & 12.46 & 12.4670785963153 & 12.4995833333333 & 0.997399534356366 & 0.999432216917495 \tabularnewline
14 & 12.47 & 12.5231559955510 & 12.51875 & 1.00035195171650 & 0.99575538342173 \tabularnewline
15 & 12.55 & 12.5648012651733 & 12.5404166666667 & 1.00194448072618 & 0.998822005628188 \tabularnewline
16 & 12.58 & 12.5984773046804 & 12.565 & 1.00266432985917 & 0.99853337000706 \tabularnewline
17 & 12.6 & 12.6272579304661 & 12.5920833333333 & 1.00279338979910 & 0.997841342069976 \tabularnewline
18 & 12.62 & 12.641081397479 & 12.6204166666667 & 1.00163740479876 & 0.998332310597793 \tabularnewline
19 & 12.62 & 12.6524117211245 & 12.6516666666667 & 1.00005888982673 & 0.997438296995157 \tabularnewline
20 & 12.66 & 12.6795806227201 & 12.6916666666667 & 0.999047718139473 & 0.998455735776856 \tabularnewline
21 & 12.7 & 12.7306809401409 & 12.7375 & 0.999464646919797 & 0.997590000072645 \tabularnewline
22 & 12.76 & 12.7659659388691 & 12.78375 & 0.998608854120981 & 0.999532668432795 \tabularnewline
23 & 12.79 & 12.8187004121454 & 12.83125 & 0.99902195126316 & 0.997761051337292 \tabularnewline
24 & 12.81 & 12.8397865302615 & 12.8783333333333 & 0.997006848473782 & 0.99768013820235 \tabularnewline
25 & 12.86 & 12.8913889815560 & 12.925 & 0.997399534356366 & 0.997565120282932 \tabularnewline
26 & 13.03 & 12.9749816270763 & 12.9704166666667 & 1.00035195171650 & 1.00424034303131 \tabularnewline
27 & 13.09 & 13.0382200323164 & 13.0129166666667 & 1.00194448072618 & 1.00397139851569 \tabularnewline
28 & 13.15 & 13.0860228350744 & 13.05125 & 1.00266432985917 & 1.00488896937839 \tabularnewline
29 & 13.17 & 13.1248941501539 & 13.0883333333333 & 1.00279338979910 & 1.00343666389459 \tabularnewline
30 & 13.18 & 13.1469082869024 & 13.1254166666667 & 1.00163740479876 & 1.00251707187541 \tabularnewline
31 & 13.18 & 13.1624417549361 & 13.1616666666667 & 1.00005888982673 & 1.00133396564184 \tabularnewline
32 & 13.19 & 13.1807695613201 & 13.1933333333333 & 0.999047718139473 & 1.00070029588462 \tabularnewline
33 & 13.19 & 13.2104239706624 & 13.2175 & 0.999464646919797 & 0.998453950402517 \tabularnewline
34 & 13.19 & 13.2182525323814 & 13.2366666666667 & 0.998608854120981 & 0.997862612148453 \tabularnewline
35 & 13.25 & 13.2399546682614 & 13.2529166666667 & 0.99902195126316 & 1.00075871345411 \tabularnewline
36 & 13.24 & 13.2290346206865 & 13.26875 & 0.997006848473782 & 1.00082888733970 \tabularnewline
37 & 13.3 & 13.2504528139243 & 13.285 & 0.997399534356366 & 1.00373928248125 \tabularnewline
38 & 13.35 & 13.3063482110824 & 13.3016666666667 & 1.00035195171650 & 1.00328052356854 \tabularnewline
39 & 13.35 & 13.3446480526719 & 13.31875 & 1.00194448072618 & 1.00040105571215 \tabularnewline
40 & 13.35 & 13.3717821690843 & 13.33625 & 1.00266432985917 & 0.998371034705107 \tabularnewline
41 & 13.36 & 13.3902165678715 & 13.3529166666667 & 1.00279338979910 & 0.997743384678031 \tabularnewline
42 & 13.37 & 13.3910574043221 & 13.3691666666667 & 1.00163740479876 & 0.998427502497652 \tabularnewline
43 & 13.38 & 13.3841214755144 & 13.3833333333333 & 1.00005888982673 & 0.999692062305177 \tabularnewline
44 & 13.39 & 13.3814116447131 & 13.3941666666667 & 0.999047718139473 & 1.00064181235246 \tabularnewline
45 & 13.4 & 13.3990729227685 & 13.40625 & 0.999464646919797 & 1.00006918965490 \tabularnewline
46 & 13.4 & 13.4042434314614 & 13.4229166666667 & 0.998608854120981 & 0.99968342626101 \tabularnewline
47 & 13.44 & 13.4314338755868 & 13.4445833333333 & 0.99902195126316 & 1.00063776693483 \tabularnewline
48 & 13.44 & 13.4284359903813 & 13.46875 & 0.997006848473782 & 1.00086115833795 \tabularnewline
49 & 13.44 & 13.4582443835819 & 13.4933333333333 & 0.997399534356366 & 0.998644371207574 \tabularnewline
50 & 13.47 & 13.5226743206410 & 13.5179166666667 & 1.00035195171650 & 0.996104740867667 \tabularnewline
51 & 13.52 & 13.5717554683031 & 13.5454166666667 & 1.00194448072618 & 0.996186531033219 \tabularnewline
52 & 13.58 & 13.6128393850546 & 13.5766666666667 & 1.00266432985917 & 0.997587616798692 \tabularnewline
53 & 13.65 & 13.6450932211121 & 13.6070833333333 & 1.00279338979910 & 1.00035960024665 \tabularnewline
54 & 13.66 & 13.6585780611871 & 13.63625 & 1.00163740479876 & 1.00010410591839 \tabularnewline
55 & 13.68 & 13.6674714942986 & 13.6666666666667 & 1.00005888982673 & 1.00091666594707 \tabularnewline
56 & 13.68 & 13.6857049288631 & 13.69875 & 0.999047718139473 & 0.999583146875316 \tabularnewline
57 & 13.77 & 13.7251482638261 & 13.7325 & 0.999464646919797 & 1.00326785075919 \tabularnewline
58 & 13.78 & 13.7483473991106 & 13.7675 & 0.998608854120981 & 1.00230228404699 \tabularnewline
59 & 13.79 & 13.7869191865780 & 13.8004166666667 & 0.99902195126316 & 1.00022345916302 \tabularnewline
60 & 13.79 & 13.789850972953 & 13.83125 & 0.997006848473782 & 1.00001080700925 \tabularnewline
61 & 13.82 & 13.8268666281544 & 13.8629166666667 & 0.997399534356366 & 0.999503385087952 \tabularnewline
62 & 13.86 & 13.9015576223537 & 13.8966666666667 & 1.00035195171650 & 0.997010577988265 \tabularnewline
63 & 13.94 & 13.9549992321809 & 13.9279166666667 & 1.00194448072618 & 0.998925171407656 \tabularnewline
64 & 14 & 13.9946873840093 & 13.9575 & 1.00266432985917 & 1.00037961662486 \tabularnewline
65 & 14.02 & 14.0282438621312 & 13.9891666666667 & 1.00279338979910 & 0.9994123382647 \tabularnewline
66 & 14.03 & 14.0437911131159 & 14.0208333333333 & 1.00163740479876 & 0.999017992150064 \tabularnewline
67 & 14.07 & NA & NA & 1.00005888982673 & NA \tabularnewline
68 & 14.1 & NA & NA & 0.999047718139473 & NA \tabularnewline
69 & 14.1 & NA & NA & 0.999464646919797 & NA \tabularnewline
70 & 14.16 & NA & NA & 0.998608854120981 & NA \tabularnewline
71 & 14.17 & NA & NA & 0.99902195126316 & NA \tabularnewline
72 & 14.17 & NA & NA & 0.997006848473782 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13035&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]12.23[/C][C]NA[/C][C]NA[/C][C]0.997399534356366[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]12.25[/C][C]NA[/C][C]NA[/C][C]1.00035195171650[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]12.33[/C][C]NA[/C][C]NA[/C][C]1.00194448072618[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]12.37[/C][C]NA[/C][C]NA[/C][C]1.00266432985917[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]12.38[/C][C]NA[/C][C]NA[/C][C]1.00279338979910[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]12.41[/C][C]NA[/C][C]NA[/C][C]1.00163740479876[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]12.41[/C][C]12.3919797185655[/C][C]12.39125[/C][C]1.00005888982673[/C][C]1.00145418906775[/C][/ROW]
[ROW][C]8[/C][C]12.41[/C][C]12.3981821821109[/C][C]12.41[/C][C]0.999047718139473[/C][C]1.00095318956566[/C][/ROW]
[ROW][C]9[/C][C]12.43[/C][C]12.4216797868015[/C][C]12.4283333333333[/C][C]0.999464646919797[/C][C]1.00066981385298[/C][/ROW]
[ROW][C]10[/C][C]12.44[/C][C]12.4289354506033[/C][C]12.44625[/C][C]0.998608854120981[/C][C]1.00089022502697[/C][/ROW]
[ROW][C]11[/C][C]12.46[/C][C]12.4519761042026[/C][C]12.4641666666667[/C][C]0.99902195126316[/C][C]1.00064438734304[/C][/ROW]
[ROW][C]12[/C][C]12.46[/C][C]12.4447225665538[/C][C]12.4820833333333[/C][C]0.997006848473782[/C][C]1.00122762346565[/C][/ROW]
[ROW][C]13[/C][C]12.46[/C][C]12.4670785963153[/C][C]12.4995833333333[/C][C]0.997399534356366[/C][C]0.999432216917495[/C][/ROW]
[ROW][C]14[/C][C]12.47[/C][C]12.5231559955510[/C][C]12.51875[/C][C]1.00035195171650[/C][C]0.99575538342173[/C][/ROW]
[ROW][C]15[/C][C]12.55[/C][C]12.5648012651733[/C][C]12.5404166666667[/C][C]1.00194448072618[/C][C]0.998822005628188[/C][/ROW]
[ROW][C]16[/C][C]12.58[/C][C]12.5984773046804[/C][C]12.565[/C][C]1.00266432985917[/C][C]0.99853337000706[/C][/ROW]
[ROW][C]17[/C][C]12.6[/C][C]12.6272579304661[/C][C]12.5920833333333[/C][C]1.00279338979910[/C][C]0.997841342069976[/C][/ROW]
[ROW][C]18[/C][C]12.62[/C][C]12.641081397479[/C][C]12.6204166666667[/C][C]1.00163740479876[/C][C]0.998332310597793[/C][/ROW]
[ROW][C]19[/C][C]12.62[/C][C]12.6524117211245[/C][C]12.6516666666667[/C][C]1.00005888982673[/C][C]0.997438296995157[/C][/ROW]
[ROW][C]20[/C][C]12.66[/C][C]12.6795806227201[/C][C]12.6916666666667[/C][C]0.999047718139473[/C][C]0.998455735776856[/C][/ROW]
[ROW][C]21[/C][C]12.7[/C][C]12.7306809401409[/C][C]12.7375[/C][C]0.999464646919797[/C][C]0.997590000072645[/C][/ROW]
[ROW][C]22[/C][C]12.76[/C][C]12.7659659388691[/C][C]12.78375[/C][C]0.998608854120981[/C][C]0.999532668432795[/C][/ROW]
[ROW][C]23[/C][C]12.79[/C][C]12.8187004121454[/C][C]12.83125[/C][C]0.99902195126316[/C][C]0.997761051337292[/C][/ROW]
[ROW][C]24[/C][C]12.81[/C][C]12.8397865302615[/C][C]12.8783333333333[/C][C]0.997006848473782[/C][C]0.99768013820235[/C][/ROW]
[ROW][C]25[/C][C]12.86[/C][C]12.8913889815560[/C][C]12.925[/C][C]0.997399534356366[/C][C]0.997565120282932[/C][/ROW]
[ROW][C]26[/C][C]13.03[/C][C]12.9749816270763[/C][C]12.9704166666667[/C][C]1.00035195171650[/C][C]1.00424034303131[/C][/ROW]
[ROW][C]27[/C][C]13.09[/C][C]13.0382200323164[/C][C]13.0129166666667[/C][C]1.00194448072618[/C][C]1.00397139851569[/C][/ROW]
[ROW][C]28[/C][C]13.15[/C][C]13.0860228350744[/C][C]13.05125[/C][C]1.00266432985917[/C][C]1.00488896937839[/C][/ROW]
[ROW][C]29[/C][C]13.17[/C][C]13.1248941501539[/C][C]13.0883333333333[/C][C]1.00279338979910[/C][C]1.00343666389459[/C][/ROW]
[ROW][C]30[/C][C]13.18[/C][C]13.1469082869024[/C][C]13.1254166666667[/C][C]1.00163740479876[/C][C]1.00251707187541[/C][/ROW]
[ROW][C]31[/C][C]13.18[/C][C]13.1624417549361[/C][C]13.1616666666667[/C][C]1.00005888982673[/C][C]1.00133396564184[/C][/ROW]
[ROW][C]32[/C][C]13.19[/C][C]13.1807695613201[/C][C]13.1933333333333[/C][C]0.999047718139473[/C][C]1.00070029588462[/C][/ROW]
[ROW][C]33[/C][C]13.19[/C][C]13.2104239706624[/C][C]13.2175[/C][C]0.999464646919797[/C][C]0.998453950402517[/C][/ROW]
[ROW][C]34[/C][C]13.19[/C][C]13.2182525323814[/C][C]13.2366666666667[/C][C]0.998608854120981[/C][C]0.997862612148453[/C][/ROW]
[ROW][C]35[/C][C]13.25[/C][C]13.2399546682614[/C][C]13.2529166666667[/C][C]0.99902195126316[/C][C]1.00075871345411[/C][/ROW]
[ROW][C]36[/C][C]13.24[/C][C]13.2290346206865[/C][C]13.26875[/C][C]0.997006848473782[/C][C]1.00082888733970[/C][/ROW]
[ROW][C]37[/C][C]13.3[/C][C]13.2504528139243[/C][C]13.285[/C][C]0.997399534356366[/C][C]1.00373928248125[/C][/ROW]
[ROW][C]38[/C][C]13.35[/C][C]13.3063482110824[/C][C]13.3016666666667[/C][C]1.00035195171650[/C][C]1.00328052356854[/C][/ROW]
[ROW][C]39[/C][C]13.35[/C][C]13.3446480526719[/C][C]13.31875[/C][C]1.00194448072618[/C][C]1.00040105571215[/C][/ROW]
[ROW][C]40[/C][C]13.35[/C][C]13.3717821690843[/C][C]13.33625[/C][C]1.00266432985917[/C][C]0.998371034705107[/C][/ROW]
[ROW][C]41[/C][C]13.36[/C][C]13.3902165678715[/C][C]13.3529166666667[/C][C]1.00279338979910[/C][C]0.997743384678031[/C][/ROW]
[ROW][C]42[/C][C]13.37[/C][C]13.3910574043221[/C][C]13.3691666666667[/C][C]1.00163740479876[/C][C]0.998427502497652[/C][/ROW]
[ROW][C]43[/C][C]13.38[/C][C]13.3841214755144[/C][C]13.3833333333333[/C][C]1.00005888982673[/C][C]0.999692062305177[/C][/ROW]
[ROW][C]44[/C][C]13.39[/C][C]13.3814116447131[/C][C]13.3941666666667[/C][C]0.999047718139473[/C][C]1.00064181235246[/C][/ROW]
[ROW][C]45[/C][C]13.4[/C][C]13.3990729227685[/C][C]13.40625[/C][C]0.999464646919797[/C][C]1.00006918965490[/C][/ROW]
[ROW][C]46[/C][C]13.4[/C][C]13.4042434314614[/C][C]13.4229166666667[/C][C]0.998608854120981[/C][C]0.99968342626101[/C][/ROW]
[ROW][C]47[/C][C]13.44[/C][C]13.4314338755868[/C][C]13.4445833333333[/C][C]0.99902195126316[/C][C]1.00063776693483[/C][/ROW]
[ROW][C]48[/C][C]13.44[/C][C]13.4284359903813[/C][C]13.46875[/C][C]0.997006848473782[/C][C]1.00086115833795[/C][/ROW]
[ROW][C]49[/C][C]13.44[/C][C]13.4582443835819[/C][C]13.4933333333333[/C][C]0.997399534356366[/C][C]0.998644371207574[/C][/ROW]
[ROW][C]50[/C][C]13.47[/C][C]13.5226743206410[/C][C]13.5179166666667[/C][C]1.00035195171650[/C][C]0.996104740867667[/C][/ROW]
[ROW][C]51[/C][C]13.52[/C][C]13.5717554683031[/C][C]13.5454166666667[/C][C]1.00194448072618[/C][C]0.996186531033219[/C][/ROW]
[ROW][C]52[/C][C]13.58[/C][C]13.6128393850546[/C][C]13.5766666666667[/C][C]1.00266432985917[/C][C]0.997587616798692[/C][/ROW]
[ROW][C]53[/C][C]13.65[/C][C]13.6450932211121[/C][C]13.6070833333333[/C][C]1.00279338979910[/C][C]1.00035960024665[/C][/ROW]
[ROW][C]54[/C][C]13.66[/C][C]13.6585780611871[/C][C]13.63625[/C][C]1.00163740479876[/C][C]1.00010410591839[/C][/ROW]
[ROW][C]55[/C][C]13.68[/C][C]13.6674714942986[/C][C]13.6666666666667[/C][C]1.00005888982673[/C][C]1.00091666594707[/C][/ROW]
[ROW][C]56[/C][C]13.68[/C][C]13.6857049288631[/C][C]13.69875[/C][C]0.999047718139473[/C][C]0.999583146875316[/C][/ROW]
[ROW][C]57[/C][C]13.77[/C][C]13.7251482638261[/C][C]13.7325[/C][C]0.999464646919797[/C][C]1.00326785075919[/C][/ROW]
[ROW][C]58[/C][C]13.78[/C][C]13.7483473991106[/C][C]13.7675[/C][C]0.998608854120981[/C][C]1.00230228404699[/C][/ROW]
[ROW][C]59[/C][C]13.79[/C][C]13.7869191865780[/C][C]13.8004166666667[/C][C]0.99902195126316[/C][C]1.00022345916302[/C][/ROW]
[ROW][C]60[/C][C]13.79[/C][C]13.789850972953[/C][C]13.83125[/C][C]0.997006848473782[/C][C]1.00001080700925[/C][/ROW]
[ROW][C]61[/C][C]13.82[/C][C]13.8268666281544[/C][C]13.8629166666667[/C][C]0.997399534356366[/C][C]0.999503385087952[/C][/ROW]
[ROW][C]62[/C][C]13.86[/C][C]13.9015576223537[/C][C]13.8966666666667[/C][C]1.00035195171650[/C][C]0.997010577988265[/C][/ROW]
[ROW][C]63[/C][C]13.94[/C][C]13.9549992321809[/C][C]13.9279166666667[/C][C]1.00194448072618[/C][C]0.998925171407656[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]13.9946873840093[/C][C]13.9575[/C][C]1.00266432985917[/C][C]1.00037961662486[/C][/ROW]
[ROW][C]65[/C][C]14.02[/C][C]14.0282438621312[/C][C]13.9891666666667[/C][C]1.00279338979910[/C][C]0.9994123382647[/C][/ROW]
[ROW][C]66[/C][C]14.03[/C][C]14.0437911131159[/C][C]14.0208333333333[/C][C]1.00163740479876[/C][C]0.999017992150064[/C][/ROW]
[ROW][C]67[/C][C]14.07[/C][C]NA[/C][C]NA[/C][C]1.00005888982673[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]14.1[/C][C]NA[/C][C]NA[/C][C]0.999047718139473[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]14.1[/C][C]NA[/C][C]NA[/C][C]0.999464646919797[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]14.16[/C][C]NA[/C][C]NA[/C][C]0.998608854120981[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]14.17[/C][C]NA[/C][C]NA[/C][C]0.99902195126316[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]14.17[/C][C]NA[/C][C]NA[/C][C]0.997006848473782[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13035&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13035&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	12.23	NA	NA	0.997399534356366	NA
2	12.25	NA	NA	1.00035195171650	NA
3	12.33	NA	NA	1.00194448072618	NA
4	12.37	NA	NA	1.00266432985917	NA
5	12.38	NA	NA	1.00279338979910	NA
6	12.41	NA	NA	1.00163740479876	NA
7	12.41	12.3919797185655	12.39125	1.00005888982673	1.00145418906775
8	12.41	12.3981821821109	12.41	0.999047718139473	1.00095318956566
9	12.43	12.4216797868015	12.4283333333333	0.999464646919797	1.00066981385298
10	12.44	12.4289354506033	12.44625	0.998608854120981	1.00089022502697
11	12.46	12.4519761042026	12.4641666666667	0.99902195126316	1.00064438734304
12	12.46	12.4447225665538	12.4820833333333	0.997006848473782	1.00122762346565
13	12.46	12.4670785963153	12.4995833333333	0.997399534356366	0.999432216917495
14	12.47	12.5231559955510	12.51875	1.00035195171650	0.99575538342173
15	12.55	12.5648012651733	12.5404166666667	1.00194448072618	0.998822005628188
16	12.58	12.5984773046804	12.565	1.00266432985917	0.99853337000706
17	12.6	12.6272579304661	12.5920833333333	1.00279338979910	0.997841342069976
18	12.62	12.641081397479	12.6204166666667	1.00163740479876	0.998332310597793
19	12.62	12.6524117211245	12.6516666666667	1.00005888982673	0.997438296995157
20	12.66	12.6795806227201	12.6916666666667	0.999047718139473	0.998455735776856
21	12.7	12.7306809401409	12.7375	0.999464646919797	0.997590000072645
22	12.76	12.7659659388691	12.78375	0.998608854120981	0.999532668432795
23	12.79	12.8187004121454	12.83125	0.99902195126316	0.997761051337292
24	12.81	12.8397865302615	12.8783333333333	0.997006848473782	0.99768013820235
25	12.86	12.8913889815560	12.925	0.997399534356366	0.997565120282932
26	13.03	12.9749816270763	12.9704166666667	1.00035195171650	1.00424034303131
27	13.09	13.0382200323164	13.0129166666667	1.00194448072618	1.00397139851569
28	13.15	13.0860228350744	13.05125	1.00266432985917	1.00488896937839
29	13.17	13.1248941501539	13.0883333333333	1.00279338979910	1.00343666389459
30	13.18	13.1469082869024	13.1254166666667	1.00163740479876	1.00251707187541
31	13.18	13.1624417549361	13.1616666666667	1.00005888982673	1.00133396564184
32	13.19	13.1807695613201	13.1933333333333	0.999047718139473	1.00070029588462
33	13.19	13.2104239706624	13.2175	0.999464646919797	0.998453950402517
34	13.19	13.2182525323814	13.2366666666667	0.998608854120981	0.997862612148453
35	13.25	13.2399546682614	13.2529166666667	0.99902195126316	1.00075871345411
36	13.24	13.2290346206865	13.26875	0.997006848473782	1.00082888733970
37	13.3	13.2504528139243	13.285	0.997399534356366	1.00373928248125
38	13.35	13.3063482110824	13.3016666666667	1.00035195171650	1.00328052356854
39	13.35	13.3446480526719	13.31875	1.00194448072618	1.00040105571215
40	13.35	13.3717821690843	13.33625	1.00266432985917	0.998371034705107
41	13.36	13.3902165678715	13.3529166666667	1.00279338979910	0.997743384678031
42	13.37	13.3910574043221	13.3691666666667	1.00163740479876	0.998427502497652
43	13.38	13.3841214755144	13.3833333333333	1.00005888982673	0.999692062305177
44	13.39	13.3814116447131	13.3941666666667	0.999047718139473	1.00064181235246
45	13.4	13.3990729227685	13.40625	0.999464646919797	1.00006918965490
46	13.4	13.4042434314614	13.4229166666667	0.998608854120981	0.99968342626101
47	13.44	13.4314338755868	13.4445833333333	0.99902195126316	1.00063776693483
48	13.44	13.4284359903813	13.46875	0.997006848473782	1.00086115833795
49	13.44	13.4582443835819	13.4933333333333	0.997399534356366	0.998644371207574
50	13.47	13.5226743206410	13.5179166666667	1.00035195171650	0.996104740867667
51	13.52	13.5717554683031	13.5454166666667	1.00194448072618	0.996186531033219
52	13.58	13.6128393850546	13.5766666666667	1.00266432985917	0.997587616798692
53	13.65	13.6450932211121	13.6070833333333	1.00279338979910	1.00035960024665
54	13.66	13.6585780611871	13.63625	1.00163740479876	1.00010410591839
55	13.68	13.6674714942986	13.6666666666667	1.00005888982673	1.00091666594707
56	13.68	13.6857049288631	13.69875	0.999047718139473	0.999583146875316
57	13.77	13.7251482638261	13.7325	0.999464646919797	1.00326785075919
58	13.78	13.7483473991106	13.7675	0.998608854120981	1.00230228404699
59	13.79	13.7869191865780	13.8004166666667	0.99902195126316	1.00022345916302
60	13.79	13.789850972953	13.83125	0.997006848473782	1.00001080700925
61	13.82	13.8268666281544	13.8629166666667	0.997399534356366	0.999503385087952
62	13.86	13.9015576223537	13.8966666666667	1.00035195171650	0.997010577988265
63	13.94	13.9549992321809	13.9279166666667	1.00194448072618	0.998925171407656
64	14	13.9946873840093	13.9575	1.00266432985917	1.00037961662486
65	14.02	14.0282438621312	13.9891666666667	1.00279338979910	0.9994123382647
66	14.03	14.0437911131159	14.0208333333333	1.00163740479876	0.999017992150064
67	14.07	NA	NA	1.00005888982673	NA
68	14.1	NA	NA	0.999047718139473	NA
69	14.1	NA	NA	0.999464646919797	NA
70	14.16	NA	NA	0.998608854120981	NA
71	14.17	NA	NA	0.99902195126316	NA
72	14.17	NA	NA	0.997006848473782	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 = multiplicative ; par2 = 12 ;

Parameters (R input):

par1 = multiplicative ; par2 = 12 ;

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

par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code