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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationMon, 09 Dec 2013 10:17:58 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/09/t1386602363a5sualubbvgkuk3.htm/, Retrieved Thu, 28 Mar 2024 11:49:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231674, Retrieved Thu, 28 Mar 2024 11:49:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Examenvragen] [2013-12-09 15:17:58] [5e42c9004249d2da32be1cc4d951d589] [Current]
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Dataseries X:
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 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 & 8 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231674&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]8 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=231674&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231674&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1112NANA-24.7487NA
2118NANA-36.1881NA
3132NANA-2.24116NA
4129NANA-8.03662NA
5121NANA-4.50631NA
6135NANA35.4028NA
7148190.622126.79263.8308-42.6225
8148190.073127.2562.8232-42.0732
9136144.479127.95816.5202-8.47854
10119107.941128.583-20.642711.0593
1110475.4066129-53.593428.5934
12118101.13129.75-28.619916.8699
13115106.501131.25-24.74878.49874
1412696.8952133.083-36.188129.1048
15141132.676134.917-2.241168.32449
16135128.38136.417-8.036626.61995
17125132.91137.417-4.50631-7.91035
18149174.153138.7535.4028-25.1528
19170204.747140.91763.8308-34.7475
20170205.99143.16762.8232-35.9899
21158162.229145.70816.5202-4.22854
22133127.774148.417-20.64275.22601
2311497.9482151.542-53.593416.0518
24140126.088154.708-28.619913.9116
25145132.376157.125-24.748712.6237
26150123.354159.542-36.188126.6465
27178159.592161.833-2.2411618.4078
28163156.088164.125-8.036626.91162
29172162.16166.667-4.506319.83965
30178204.486169.08335.4028-26.4861
31199235.081171.2563.8308-36.0808
32199236.407173.58362.8232-37.4066
33184191.979175.45816.5202-7.97854
34162156.191176.833-20.64275.80934
35146124.448178.042-53.593421.5518
36166151.547180.167-28.619914.4533
37171158.376183.125-24.748712.6237
38180150.02186.208-36.188129.9798
39193186.801189.042-2.241166.19949
40181183.255191.292-8.03662-2.25505
41183189.077193.583-4.50631-6.07702
42218231.236195.83335.4028-13.2361
43230261.872198.04263.8308-31.8725
44242262.573199.7562.8232-20.5732
45209218.729202.20816.5202-9.72854
46191185.607206.25-20.64275.39268
47172156.823210.417-53.593415.1768
48194184.755213.375-28.61999.24495
49196191.085215.833-24.74874.9154
50196182.312218.5-36.188113.6881
51236218.676220.917-2.2411617.3245
52235214.88222.917-8.0366220.1199
53229219.577224.083-4.506319.42298
54243260.111224.70835.4028-17.1111
55264289.164225.33363.8308-25.1641
56272288.157225.33362.8232-16.1566
57237241.479224.95816.5202-4.47854
58211203.941224.583-20.64277.05934
59180170.865224.458-53.59349.1351
60201196.922225.542-28.61994.07828
61204203.251228-24.74870.748737
62188194.27230.458-36.1881-6.2702
63235230.009232.25-2.241164.99116
64227225.88233.917-8.036621.11995
65234231.119235.625-4.506312.88131
66264273.153237.7535.4028-9.15278
67302304.331240.563.8308-2.33081
68293306.782243.95862.8232-13.7816
69259263.687247.16716.5202-4.68687
70229229.607250.25-20.6427-0.607323
71203199.907253.5-53.59343.09343
72229228.505257.125-28.61990.494949
73242237.085261.833-24.74874.9154
74233230.479266.667-36.18812.52146
75267268.884271.125-2.24116-1.88384
76269267.172275.208-8.036621.82828
77270273.994278.5-4.50631-3.99369
78315317.361281.95835.4028-2.36111
79364349.581285.7563.830814.4192
80347352.157289.33362.8232-5.15657
81312309.77293.2516.52022.2298
82274276.524297.167-20.6427-2.52399
83237247.407301-53.5934-10.4066
84278276.838305.458-28.61991.16162
85284285.21309.958-24.7487-1.2096
86277278.229314.417-36.1881-1.22854
87317316.384318.625-2.241160.616162
88313313.713321.75-8.03662-0.713384
89318319.994324.5-4.50631-1.99369
90374362.486327.08335.402811.5139
91413393.372329.54263.830819.6275
92405394.657331.83362.823210.3434
93355350.979334.45816.52024.02146
94306316.899337.542-20.6427-10.899
95271286.948340.542-53.5934-15.9482
96306315.463344.083-28.6199-9.46338
97315323.501348.25-24.7487-8.50126
98301316.812353-36.1881-15.8119
99356355.384357.625-2.241160.616162
100348353.338361.375-8.03662-5.33838
101355359.994364.5-4.50631-4.99369
102422402.569367.16735.402819.4306
103465433.289369.45863.830831.7109
104467434.032371.20862.823232.9684
105404388.687372.16716.520215.3131
106347351.774372.417-20.6427-4.77399
107305319.157372.75-53.5934-14.1566
108336345.005373.625-28.6199-9.00505
109340350.501375.25-24.7487-10.5013
110318341.729377.917-36.1881-23.7285
111362377.259379.5-2.24116-15.2588
112348371.963380-8.03662-23.9634
113363376.202380.708-4.50631-13.202
114435416.361380.95835.402818.6389
115491445.664381.83363.830845.3359
116505446.49383.66762.823258.5101
117404403.02386.516.52020.979798
118359369.691390.333-20.6427-10.6907
119310341.115394.708-53.5934-31.1149
120337370.005398.625-28.6199-33.0051
121360377.793402.542-24.7487-17.7929
122342370.979407.167-36.1881-28.9785
123406409.634411.875-2.24116-3.63384
124396408.297416.333-8.03662-12.2967
125420415.994420.5-4.506314.00631
126472460.903425.535.402811.0972
127548494.539430.70863.830853.4609
128559497.948435.12562.823261.0518
129463454.229437.70816.52028.77146
130407420.316440.958-20.6427-13.3157
131362392.24445.833-53.5934-30.2399
132405422.005450.625-28.6199-17.0051
133417431.585456.333-24.7487-14.5846
134391425.187461.375-36.1881-34.1869
135419462.967465.208-2.24116-43.9672
136461461.297469.333-8.03662-0.296717
137472468.244472.75-4.506313.75631
138535510.444475.04235.402824.5556
139622NANA63.8308NA
140606NANA62.8232NA
141508NANA16.5202NA
142461NANA-20.6427NA
143390NANA-53.5934NA
144432NANA-28.6199NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 112 & NA & NA & -24.7487 & NA \tabularnewline
2 & 118 & NA & NA & -36.1881 & NA \tabularnewline
3 & 132 & NA & NA & -2.24116 & NA \tabularnewline
4 & 129 & NA & NA & -8.03662 & NA \tabularnewline
5 & 121 & NA & NA & -4.50631 & NA \tabularnewline
6 & 135 & NA & NA & 35.4028 & NA \tabularnewline
7 & 148 & 190.622 & 126.792 & 63.8308 & -42.6225 \tabularnewline
8 & 148 & 190.073 & 127.25 & 62.8232 & -42.0732 \tabularnewline
9 & 136 & 144.479 & 127.958 & 16.5202 & -8.47854 \tabularnewline
10 & 119 & 107.941 & 128.583 & -20.6427 & 11.0593 \tabularnewline
11 & 104 & 75.4066 & 129 & -53.5934 & 28.5934 \tabularnewline
12 & 118 & 101.13 & 129.75 & -28.6199 & 16.8699 \tabularnewline
13 & 115 & 106.501 & 131.25 & -24.7487 & 8.49874 \tabularnewline
14 & 126 & 96.8952 & 133.083 & -36.1881 & 29.1048 \tabularnewline
15 & 141 & 132.676 & 134.917 & -2.24116 & 8.32449 \tabularnewline
16 & 135 & 128.38 & 136.417 & -8.03662 & 6.61995 \tabularnewline
17 & 125 & 132.91 & 137.417 & -4.50631 & -7.91035 \tabularnewline
18 & 149 & 174.153 & 138.75 & 35.4028 & -25.1528 \tabularnewline
19 & 170 & 204.747 & 140.917 & 63.8308 & -34.7475 \tabularnewline
20 & 170 & 205.99 & 143.167 & 62.8232 & -35.9899 \tabularnewline
21 & 158 & 162.229 & 145.708 & 16.5202 & -4.22854 \tabularnewline
22 & 133 & 127.774 & 148.417 & -20.6427 & 5.22601 \tabularnewline
23 & 114 & 97.9482 & 151.542 & -53.5934 & 16.0518 \tabularnewline
24 & 140 & 126.088 & 154.708 & -28.6199 & 13.9116 \tabularnewline
25 & 145 & 132.376 & 157.125 & -24.7487 & 12.6237 \tabularnewline
26 & 150 & 123.354 & 159.542 & -36.1881 & 26.6465 \tabularnewline
27 & 178 & 159.592 & 161.833 & -2.24116 & 18.4078 \tabularnewline
28 & 163 & 156.088 & 164.125 & -8.03662 & 6.91162 \tabularnewline
29 & 172 & 162.16 & 166.667 & -4.50631 & 9.83965 \tabularnewline
30 & 178 & 204.486 & 169.083 & 35.4028 & -26.4861 \tabularnewline
31 & 199 & 235.081 & 171.25 & 63.8308 & -36.0808 \tabularnewline
32 & 199 & 236.407 & 173.583 & 62.8232 & -37.4066 \tabularnewline
33 & 184 & 191.979 & 175.458 & 16.5202 & -7.97854 \tabularnewline
34 & 162 & 156.191 & 176.833 & -20.6427 & 5.80934 \tabularnewline
35 & 146 & 124.448 & 178.042 & -53.5934 & 21.5518 \tabularnewline
36 & 166 & 151.547 & 180.167 & -28.6199 & 14.4533 \tabularnewline
37 & 171 & 158.376 & 183.125 & -24.7487 & 12.6237 \tabularnewline
38 & 180 & 150.02 & 186.208 & -36.1881 & 29.9798 \tabularnewline
39 & 193 & 186.801 & 189.042 & -2.24116 & 6.19949 \tabularnewline
40 & 181 & 183.255 & 191.292 & -8.03662 & -2.25505 \tabularnewline
41 & 183 & 189.077 & 193.583 & -4.50631 & -6.07702 \tabularnewline
42 & 218 & 231.236 & 195.833 & 35.4028 & -13.2361 \tabularnewline
43 & 230 & 261.872 & 198.042 & 63.8308 & -31.8725 \tabularnewline
44 & 242 & 262.573 & 199.75 & 62.8232 & -20.5732 \tabularnewline
45 & 209 & 218.729 & 202.208 & 16.5202 & -9.72854 \tabularnewline
46 & 191 & 185.607 & 206.25 & -20.6427 & 5.39268 \tabularnewline
47 & 172 & 156.823 & 210.417 & -53.5934 & 15.1768 \tabularnewline
48 & 194 & 184.755 & 213.375 & -28.6199 & 9.24495 \tabularnewline
49 & 196 & 191.085 & 215.833 & -24.7487 & 4.9154 \tabularnewline
50 & 196 & 182.312 & 218.5 & -36.1881 & 13.6881 \tabularnewline
51 & 236 & 218.676 & 220.917 & -2.24116 & 17.3245 \tabularnewline
52 & 235 & 214.88 & 222.917 & -8.03662 & 20.1199 \tabularnewline
53 & 229 & 219.577 & 224.083 & -4.50631 & 9.42298 \tabularnewline
54 & 243 & 260.111 & 224.708 & 35.4028 & -17.1111 \tabularnewline
55 & 264 & 289.164 & 225.333 & 63.8308 & -25.1641 \tabularnewline
56 & 272 & 288.157 & 225.333 & 62.8232 & -16.1566 \tabularnewline
57 & 237 & 241.479 & 224.958 & 16.5202 & -4.47854 \tabularnewline
58 & 211 & 203.941 & 224.583 & -20.6427 & 7.05934 \tabularnewline
59 & 180 & 170.865 & 224.458 & -53.5934 & 9.1351 \tabularnewline
60 & 201 & 196.922 & 225.542 & -28.6199 & 4.07828 \tabularnewline
61 & 204 & 203.251 & 228 & -24.7487 & 0.748737 \tabularnewline
62 & 188 & 194.27 & 230.458 & -36.1881 & -6.2702 \tabularnewline
63 & 235 & 230.009 & 232.25 & -2.24116 & 4.99116 \tabularnewline
64 & 227 & 225.88 & 233.917 & -8.03662 & 1.11995 \tabularnewline
65 & 234 & 231.119 & 235.625 & -4.50631 & 2.88131 \tabularnewline
66 & 264 & 273.153 & 237.75 & 35.4028 & -9.15278 \tabularnewline
67 & 302 & 304.331 & 240.5 & 63.8308 & -2.33081 \tabularnewline
68 & 293 & 306.782 & 243.958 & 62.8232 & -13.7816 \tabularnewline
69 & 259 & 263.687 & 247.167 & 16.5202 & -4.68687 \tabularnewline
70 & 229 & 229.607 & 250.25 & -20.6427 & -0.607323 \tabularnewline
71 & 203 & 199.907 & 253.5 & -53.5934 & 3.09343 \tabularnewline
72 & 229 & 228.505 & 257.125 & -28.6199 & 0.494949 \tabularnewline
73 & 242 & 237.085 & 261.833 & -24.7487 & 4.9154 \tabularnewline
74 & 233 & 230.479 & 266.667 & -36.1881 & 2.52146 \tabularnewline
75 & 267 & 268.884 & 271.125 & -2.24116 & -1.88384 \tabularnewline
76 & 269 & 267.172 & 275.208 & -8.03662 & 1.82828 \tabularnewline
77 & 270 & 273.994 & 278.5 & -4.50631 & -3.99369 \tabularnewline
78 & 315 & 317.361 & 281.958 & 35.4028 & -2.36111 \tabularnewline
79 & 364 & 349.581 & 285.75 & 63.8308 & 14.4192 \tabularnewline
80 & 347 & 352.157 & 289.333 & 62.8232 & -5.15657 \tabularnewline
81 & 312 & 309.77 & 293.25 & 16.5202 & 2.2298 \tabularnewline
82 & 274 & 276.524 & 297.167 & -20.6427 & -2.52399 \tabularnewline
83 & 237 & 247.407 & 301 & -53.5934 & -10.4066 \tabularnewline
84 & 278 & 276.838 & 305.458 & -28.6199 & 1.16162 \tabularnewline
85 & 284 & 285.21 & 309.958 & -24.7487 & -1.2096 \tabularnewline
86 & 277 & 278.229 & 314.417 & -36.1881 & -1.22854 \tabularnewline
87 & 317 & 316.384 & 318.625 & -2.24116 & 0.616162 \tabularnewline
88 & 313 & 313.713 & 321.75 & -8.03662 & -0.713384 \tabularnewline
89 & 318 & 319.994 & 324.5 & -4.50631 & -1.99369 \tabularnewline
90 & 374 & 362.486 & 327.083 & 35.4028 & 11.5139 \tabularnewline
91 & 413 & 393.372 & 329.542 & 63.8308 & 19.6275 \tabularnewline
92 & 405 & 394.657 & 331.833 & 62.8232 & 10.3434 \tabularnewline
93 & 355 & 350.979 & 334.458 & 16.5202 & 4.02146 \tabularnewline
94 & 306 & 316.899 & 337.542 & -20.6427 & -10.899 \tabularnewline
95 & 271 & 286.948 & 340.542 & -53.5934 & -15.9482 \tabularnewline
96 & 306 & 315.463 & 344.083 & -28.6199 & -9.46338 \tabularnewline
97 & 315 & 323.501 & 348.25 & -24.7487 & -8.50126 \tabularnewline
98 & 301 & 316.812 & 353 & -36.1881 & -15.8119 \tabularnewline
99 & 356 & 355.384 & 357.625 & -2.24116 & 0.616162 \tabularnewline
100 & 348 & 353.338 & 361.375 & -8.03662 & -5.33838 \tabularnewline
101 & 355 & 359.994 & 364.5 & -4.50631 & -4.99369 \tabularnewline
102 & 422 & 402.569 & 367.167 & 35.4028 & 19.4306 \tabularnewline
103 & 465 & 433.289 & 369.458 & 63.8308 & 31.7109 \tabularnewline
104 & 467 & 434.032 & 371.208 & 62.8232 & 32.9684 \tabularnewline
105 & 404 & 388.687 & 372.167 & 16.5202 & 15.3131 \tabularnewline
106 & 347 & 351.774 & 372.417 & -20.6427 & -4.77399 \tabularnewline
107 & 305 & 319.157 & 372.75 & -53.5934 & -14.1566 \tabularnewline
108 & 336 & 345.005 & 373.625 & -28.6199 & -9.00505 \tabularnewline
109 & 340 & 350.501 & 375.25 & -24.7487 & -10.5013 \tabularnewline
110 & 318 & 341.729 & 377.917 & -36.1881 & -23.7285 \tabularnewline
111 & 362 & 377.259 & 379.5 & -2.24116 & -15.2588 \tabularnewline
112 & 348 & 371.963 & 380 & -8.03662 & -23.9634 \tabularnewline
113 & 363 & 376.202 & 380.708 & -4.50631 & -13.202 \tabularnewline
114 & 435 & 416.361 & 380.958 & 35.4028 & 18.6389 \tabularnewline
115 & 491 & 445.664 & 381.833 & 63.8308 & 45.3359 \tabularnewline
116 & 505 & 446.49 & 383.667 & 62.8232 & 58.5101 \tabularnewline
117 & 404 & 403.02 & 386.5 & 16.5202 & 0.979798 \tabularnewline
118 & 359 & 369.691 & 390.333 & -20.6427 & -10.6907 \tabularnewline
119 & 310 & 341.115 & 394.708 & -53.5934 & -31.1149 \tabularnewline
120 & 337 & 370.005 & 398.625 & -28.6199 & -33.0051 \tabularnewline
121 & 360 & 377.793 & 402.542 & -24.7487 & -17.7929 \tabularnewline
122 & 342 & 370.979 & 407.167 & -36.1881 & -28.9785 \tabularnewline
123 & 406 & 409.634 & 411.875 & -2.24116 & -3.63384 \tabularnewline
124 & 396 & 408.297 & 416.333 & -8.03662 & -12.2967 \tabularnewline
125 & 420 & 415.994 & 420.5 & -4.50631 & 4.00631 \tabularnewline
126 & 472 & 460.903 & 425.5 & 35.4028 & 11.0972 \tabularnewline
127 & 548 & 494.539 & 430.708 & 63.8308 & 53.4609 \tabularnewline
128 & 559 & 497.948 & 435.125 & 62.8232 & 61.0518 \tabularnewline
129 & 463 & 454.229 & 437.708 & 16.5202 & 8.77146 \tabularnewline
130 & 407 & 420.316 & 440.958 & -20.6427 & -13.3157 \tabularnewline
131 & 362 & 392.24 & 445.833 & -53.5934 & -30.2399 \tabularnewline
132 & 405 & 422.005 & 450.625 & -28.6199 & -17.0051 \tabularnewline
133 & 417 & 431.585 & 456.333 & -24.7487 & -14.5846 \tabularnewline
134 & 391 & 425.187 & 461.375 & -36.1881 & -34.1869 \tabularnewline
135 & 419 & 462.967 & 465.208 & -2.24116 & -43.9672 \tabularnewline
136 & 461 & 461.297 & 469.333 & -8.03662 & -0.296717 \tabularnewline
137 & 472 & 468.244 & 472.75 & -4.50631 & 3.75631 \tabularnewline
138 & 535 & 510.444 & 475.042 & 35.4028 & 24.5556 \tabularnewline
139 & 622 & NA & NA & 63.8308 & NA \tabularnewline
140 & 606 & NA & NA & 62.8232 & NA \tabularnewline
141 & 508 & NA & NA & 16.5202 & NA \tabularnewline
142 & 461 & NA & NA & -20.6427 & NA \tabularnewline
143 & 390 & NA & NA & -53.5934 & NA \tabularnewline
144 & 432 & NA & NA & -28.6199 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231674&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]112[/C][C]NA[/C][C]NA[/C][C]-24.7487[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]118[/C][C]NA[/C][C]NA[/C][C]-36.1881[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]132[/C][C]NA[/C][C]NA[/C][C]-2.24116[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]129[/C][C]NA[/C][C]NA[/C][C]-8.03662[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]121[/C][C]NA[/C][C]NA[/C][C]-4.50631[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]135[/C][C]NA[/C][C]NA[/C][C]35.4028[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]148[/C][C]190.622[/C][C]126.792[/C][C]63.8308[/C][C]-42.6225[/C][/ROW]
[ROW][C]8[/C][C]148[/C][C]190.073[/C][C]127.25[/C][C]62.8232[/C][C]-42.0732[/C][/ROW]
[ROW][C]9[/C][C]136[/C][C]144.479[/C][C]127.958[/C][C]16.5202[/C][C]-8.47854[/C][/ROW]
[ROW][C]10[/C][C]119[/C][C]107.941[/C][C]128.583[/C][C]-20.6427[/C][C]11.0593[/C][/ROW]
[ROW][C]11[/C][C]104[/C][C]75.4066[/C][C]129[/C][C]-53.5934[/C][C]28.5934[/C][/ROW]
[ROW][C]12[/C][C]118[/C][C]101.13[/C][C]129.75[/C][C]-28.6199[/C][C]16.8699[/C][/ROW]
[ROW][C]13[/C][C]115[/C][C]106.501[/C][C]131.25[/C][C]-24.7487[/C][C]8.49874[/C][/ROW]
[ROW][C]14[/C][C]126[/C][C]96.8952[/C][C]133.083[/C][C]-36.1881[/C][C]29.1048[/C][/ROW]
[ROW][C]15[/C][C]141[/C][C]132.676[/C][C]134.917[/C][C]-2.24116[/C][C]8.32449[/C][/ROW]
[ROW][C]16[/C][C]135[/C][C]128.38[/C][C]136.417[/C][C]-8.03662[/C][C]6.61995[/C][/ROW]
[ROW][C]17[/C][C]125[/C][C]132.91[/C][C]137.417[/C][C]-4.50631[/C][C]-7.91035[/C][/ROW]
[ROW][C]18[/C][C]149[/C][C]174.153[/C][C]138.75[/C][C]35.4028[/C][C]-25.1528[/C][/ROW]
[ROW][C]19[/C][C]170[/C][C]204.747[/C][C]140.917[/C][C]63.8308[/C][C]-34.7475[/C][/ROW]
[ROW][C]20[/C][C]170[/C][C]205.99[/C][C]143.167[/C][C]62.8232[/C][C]-35.9899[/C][/ROW]
[ROW][C]21[/C][C]158[/C][C]162.229[/C][C]145.708[/C][C]16.5202[/C][C]-4.22854[/C][/ROW]
[ROW][C]22[/C][C]133[/C][C]127.774[/C][C]148.417[/C][C]-20.6427[/C][C]5.22601[/C][/ROW]
[ROW][C]23[/C][C]114[/C][C]97.9482[/C][C]151.542[/C][C]-53.5934[/C][C]16.0518[/C][/ROW]
[ROW][C]24[/C][C]140[/C][C]126.088[/C][C]154.708[/C][C]-28.6199[/C][C]13.9116[/C][/ROW]
[ROW][C]25[/C][C]145[/C][C]132.376[/C][C]157.125[/C][C]-24.7487[/C][C]12.6237[/C][/ROW]
[ROW][C]26[/C][C]150[/C][C]123.354[/C][C]159.542[/C][C]-36.1881[/C][C]26.6465[/C][/ROW]
[ROW][C]27[/C][C]178[/C][C]159.592[/C][C]161.833[/C][C]-2.24116[/C][C]18.4078[/C][/ROW]
[ROW][C]28[/C][C]163[/C][C]156.088[/C][C]164.125[/C][C]-8.03662[/C][C]6.91162[/C][/ROW]
[ROW][C]29[/C][C]172[/C][C]162.16[/C][C]166.667[/C][C]-4.50631[/C][C]9.83965[/C][/ROW]
[ROW][C]30[/C][C]178[/C][C]204.486[/C][C]169.083[/C][C]35.4028[/C][C]-26.4861[/C][/ROW]
[ROW][C]31[/C][C]199[/C][C]235.081[/C][C]171.25[/C][C]63.8308[/C][C]-36.0808[/C][/ROW]
[ROW][C]32[/C][C]199[/C][C]236.407[/C][C]173.583[/C][C]62.8232[/C][C]-37.4066[/C][/ROW]
[ROW][C]33[/C][C]184[/C][C]191.979[/C][C]175.458[/C][C]16.5202[/C][C]-7.97854[/C][/ROW]
[ROW][C]34[/C][C]162[/C][C]156.191[/C][C]176.833[/C][C]-20.6427[/C][C]5.80934[/C][/ROW]
[ROW][C]35[/C][C]146[/C][C]124.448[/C][C]178.042[/C][C]-53.5934[/C][C]21.5518[/C][/ROW]
[ROW][C]36[/C][C]166[/C][C]151.547[/C][C]180.167[/C][C]-28.6199[/C][C]14.4533[/C][/ROW]
[ROW][C]37[/C][C]171[/C][C]158.376[/C][C]183.125[/C][C]-24.7487[/C][C]12.6237[/C][/ROW]
[ROW][C]38[/C][C]180[/C][C]150.02[/C][C]186.208[/C][C]-36.1881[/C][C]29.9798[/C][/ROW]
[ROW][C]39[/C][C]193[/C][C]186.801[/C][C]189.042[/C][C]-2.24116[/C][C]6.19949[/C][/ROW]
[ROW][C]40[/C][C]181[/C][C]183.255[/C][C]191.292[/C][C]-8.03662[/C][C]-2.25505[/C][/ROW]
[ROW][C]41[/C][C]183[/C][C]189.077[/C][C]193.583[/C][C]-4.50631[/C][C]-6.07702[/C][/ROW]
[ROW][C]42[/C][C]218[/C][C]231.236[/C][C]195.833[/C][C]35.4028[/C][C]-13.2361[/C][/ROW]
[ROW][C]43[/C][C]230[/C][C]261.872[/C][C]198.042[/C][C]63.8308[/C][C]-31.8725[/C][/ROW]
[ROW][C]44[/C][C]242[/C][C]262.573[/C][C]199.75[/C][C]62.8232[/C][C]-20.5732[/C][/ROW]
[ROW][C]45[/C][C]209[/C][C]218.729[/C][C]202.208[/C][C]16.5202[/C][C]-9.72854[/C][/ROW]
[ROW][C]46[/C][C]191[/C][C]185.607[/C][C]206.25[/C][C]-20.6427[/C][C]5.39268[/C][/ROW]
[ROW][C]47[/C][C]172[/C][C]156.823[/C][C]210.417[/C][C]-53.5934[/C][C]15.1768[/C][/ROW]
[ROW][C]48[/C][C]194[/C][C]184.755[/C][C]213.375[/C][C]-28.6199[/C][C]9.24495[/C][/ROW]
[ROW][C]49[/C][C]196[/C][C]191.085[/C][C]215.833[/C][C]-24.7487[/C][C]4.9154[/C][/ROW]
[ROW][C]50[/C][C]196[/C][C]182.312[/C][C]218.5[/C][C]-36.1881[/C][C]13.6881[/C][/ROW]
[ROW][C]51[/C][C]236[/C][C]218.676[/C][C]220.917[/C][C]-2.24116[/C][C]17.3245[/C][/ROW]
[ROW][C]52[/C][C]235[/C][C]214.88[/C][C]222.917[/C][C]-8.03662[/C][C]20.1199[/C][/ROW]
[ROW][C]53[/C][C]229[/C][C]219.577[/C][C]224.083[/C][C]-4.50631[/C][C]9.42298[/C][/ROW]
[ROW][C]54[/C][C]243[/C][C]260.111[/C][C]224.708[/C][C]35.4028[/C][C]-17.1111[/C][/ROW]
[ROW][C]55[/C][C]264[/C][C]289.164[/C][C]225.333[/C][C]63.8308[/C][C]-25.1641[/C][/ROW]
[ROW][C]56[/C][C]272[/C][C]288.157[/C][C]225.333[/C][C]62.8232[/C][C]-16.1566[/C][/ROW]
[ROW][C]57[/C][C]237[/C][C]241.479[/C][C]224.958[/C][C]16.5202[/C][C]-4.47854[/C][/ROW]
[ROW][C]58[/C][C]211[/C][C]203.941[/C][C]224.583[/C][C]-20.6427[/C][C]7.05934[/C][/ROW]
[ROW][C]59[/C][C]180[/C][C]170.865[/C][C]224.458[/C][C]-53.5934[/C][C]9.1351[/C][/ROW]
[ROW][C]60[/C][C]201[/C][C]196.922[/C][C]225.542[/C][C]-28.6199[/C][C]4.07828[/C][/ROW]
[ROW][C]61[/C][C]204[/C][C]203.251[/C][C]228[/C][C]-24.7487[/C][C]0.748737[/C][/ROW]
[ROW][C]62[/C][C]188[/C][C]194.27[/C][C]230.458[/C][C]-36.1881[/C][C]-6.2702[/C][/ROW]
[ROW][C]63[/C][C]235[/C][C]230.009[/C][C]232.25[/C][C]-2.24116[/C][C]4.99116[/C][/ROW]
[ROW][C]64[/C][C]227[/C][C]225.88[/C][C]233.917[/C][C]-8.03662[/C][C]1.11995[/C][/ROW]
[ROW][C]65[/C][C]234[/C][C]231.119[/C][C]235.625[/C][C]-4.50631[/C][C]2.88131[/C][/ROW]
[ROW][C]66[/C][C]264[/C][C]273.153[/C][C]237.75[/C][C]35.4028[/C][C]-9.15278[/C][/ROW]
[ROW][C]67[/C][C]302[/C][C]304.331[/C][C]240.5[/C][C]63.8308[/C][C]-2.33081[/C][/ROW]
[ROW][C]68[/C][C]293[/C][C]306.782[/C][C]243.958[/C][C]62.8232[/C][C]-13.7816[/C][/ROW]
[ROW][C]69[/C][C]259[/C][C]263.687[/C][C]247.167[/C][C]16.5202[/C][C]-4.68687[/C][/ROW]
[ROW][C]70[/C][C]229[/C][C]229.607[/C][C]250.25[/C][C]-20.6427[/C][C]-0.607323[/C][/ROW]
[ROW][C]71[/C][C]203[/C][C]199.907[/C][C]253.5[/C][C]-53.5934[/C][C]3.09343[/C][/ROW]
[ROW][C]72[/C][C]229[/C][C]228.505[/C][C]257.125[/C][C]-28.6199[/C][C]0.494949[/C][/ROW]
[ROW][C]73[/C][C]242[/C][C]237.085[/C][C]261.833[/C][C]-24.7487[/C][C]4.9154[/C][/ROW]
[ROW][C]74[/C][C]233[/C][C]230.479[/C][C]266.667[/C][C]-36.1881[/C][C]2.52146[/C][/ROW]
[ROW][C]75[/C][C]267[/C][C]268.884[/C][C]271.125[/C][C]-2.24116[/C][C]-1.88384[/C][/ROW]
[ROW][C]76[/C][C]269[/C][C]267.172[/C][C]275.208[/C][C]-8.03662[/C][C]1.82828[/C][/ROW]
[ROW][C]77[/C][C]270[/C][C]273.994[/C][C]278.5[/C][C]-4.50631[/C][C]-3.99369[/C][/ROW]
[ROW][C]78[/C][C]315[/C][C]317.361[/C][C]281.958[/C][C]35.4028[/C][C]-2.36111[/C][/ROW]
[ROW][C]79[/C][C]364[/C][C]349.581[/C][C]285.75[/C][C]63.8308[/C][C]14.4192[/C][/ROW]
[ROW][C]80[/C][C]347[/C][C]352.157[/C][C]289.333[/C][C]62.8232[/C][C]-5.15657[/C][/ROW]
[ROW][C]81[/C][C]312[/C][C]309.77[/C][C]293.25[/C][C]16.5202[/C][C]2.2298[/C][/ROW]
[ROW][C]82[/C][C]274[/C][C]276.524[/C][C]297.167[/C][C]-20.6427[/C][C]-2.52399[/C][/ROW]
[ROW][C]83[/C][C]237[/C][C]247.407[/C][C]301[/C][C]-53.5934[/C][C]-10.4066[/C][/ROW]
[ROW][C]84[/C][C]278[/C][C]276.838[/C][C]305.458[/C][C]-28.6199[/C][C]1.16162[/C][/ROW]
[ROW][C]85[/C][C]284[/C][C]285.21[/C][C]309.958[/C][C]-24.7487[/C][C]-1.2096[/C][/ROW]
[ROW][C]86[/C][C]277[/C][C]278.229[/C][C]314.417[/C][C]-36.1881[/C][C]-1.22854[/C][/ROW]
[ROW][C]87[/C][C]317[/C][C]316.384[/C][C]318.625[/C][C]-2.24116[/C][C]0.616162[/C][/ROW]
[ROW][C]88[/C][C]313[/C][C]313.713[/C][C]321.75[/C][C]-8.03662[/C][C]-0.713384[/C][/ROW]
[ROW][C]89[/C][C]318[/C][C]319.994[/C][C]324.5[/C][C]-4.50631[/C][C]-1.99369[/C][/ROW]
[ROW][C]90[/C][C]374[/C][C]362.486[/C][C]327.083[/C][C]35.4028[/C][C]11.5139[/C][/ROW]
[ROW][C]91[/C][C]413[/C][C]393.372[/C][C]329.542[/C][C]63.8308[/C][C]19.6275[/C][/ROW]
[ROW][C]92[/C][C]405[/C][C]394.657[/C][C]331.833[/C][C]62.8232[/C][C]10.3434[/C][/ROW]
[ROW][C]93[/C][C]355[/C][C]350.979[/C][C]334.458[/C][C]16.5202[/C][C]4.02146[/C][/ROW]
[ROW][C]94[/C][C]306[/C][C]316.899[/C][C]337.542[/C][C]-20.6427[/C][C]-10.899[/C][/ROW]
[ROW][C]95[/C][C]271[/C][C]286.948[/C][C]340.542[/C][C]-53.5934[/C][C]-15.9482[/C][/ROW]
[ROW][C]96[/C][C]306[/C][C]315.463[/C][C]344.083[/C][C]-28.6199[/C][C]-9.46338[/C][/ROW]
[ROW][C]97[/C][C]315[/C][C]323.501[/C][C]348.25[/C][C]-24.7487[/C][C]-8.50126[/C][/ROW]
[ROW][C]98[/C][C]301[/C][C]316.812[/C][C]353[/C][C]-36.1881[/C][C]-15.8119[/C][/ROW]
[ROW][C]99[/C][C]356[/C][C]355.384[/C][C]357.625[/C][C]-2.24116[/C][C]0.616162[/C][/ROW]
[ROW][C]100[/C][C]348[/C][C]353.338[/C][C]361.375[/C][C]-8.03662[/C][C]-5.33838[/C][/ROW]
[ROW][C]101[/C][C]355[/C][C]359.994[/C][C]364.5[/C][C]-4.50631[/C][C]-4.99369[/C][/ROW]
[ROW][C]102[/C][C]422[/C][C]402.569[/C][C]367.167[/C][C]35.4028[/C][C]19.4306[/C][/ROW]
[ROW][C]103[/C][C]465[/C][C]433.289[/C][C]369.458[/C][C]63.8308[/C][C]31.7109[/C][/ROW]
[ROW][C]104[/C][C]467[/C][C]434.032[/C][C]371.208[/C][C]62.8232[/C][C]32.9684[/C][/ROW]
[ROW][C]105[/C][C]404[/C][C]388.687[/C][C]372.167[/C][C]16.5202[/C][C]15.3131[/C][/ROW]
[ROW][C]106[/C][C]347[/C][C]351.774[/C][C]372.417[/C][C]-20.6427[/C][C]-4.77399[/C][/ROW]
[ROW][C]107[/C][C]305[/C][C]319.157[/C][C]372.75[/C][C]-53.5934[/C][C]-14.1566[/C][/ROW]
[ROW][C]108[/C][C]336[/C][C]345.005[/C][C]373.625[/C][C]-28.6199[/C][C]-9.00505[/C][/ROW]
[ROW][C]109[/C][C]340[/C][C]350.501[/C][C]375.25[/C][C]-24.7487[/C][C]-10.5013[/C][/ROW]
[ROW][C]110[/C][C]318[/C][C]341.729[/C][C]377.917[/C][C]-36.1881[/C][C]-23.7285[/C][/ROW]
[ROW][C]111[/C][C]362[/C][C]377.259[/C][C]379.5[/C][C]-2.24116[/C][C]-15.2588[/C][/ROW]
[ROW][C]112[/C][C]348[/C][C]371.963[/C][C]380[/C][C]-8.03662[/C][C]-23.9634[/C][/ROW]
[ROW][C]113[/C][C]363[/C][C]376.202[/C][C]380.708[/C][C]-4.50631[/C][C]-13.202[/C][/ROW]
[ROW][C]114[/C][C]435[/C][C]416.361[/C][C]380.958[/C][C]35.4028[/C][C]18.6389[/C][/ROW]
[ROW][C]115[/C][C]491[/C][C]445.664[/C][C]381.833[/C][C]63.8308[/C][C]45.3359[/C][/ROW]
[ROW][C]116[/C][C]505[/C][C]446.49[/C][C]383.667[/C][C]62.8232[/C][C]58.5101[/C][/ROW]
[ROW][C]117[/C][C]404[/C][C]403.02[/C][C]386.5[/C][C]16.5202[/C][C]0.979798[/C][/ROW]
[ROW][C]118[/C][C]359[/C][C]369.691[/C][C]390.333[/C][C]-20.6427[/C][C]-10.6907[/C][/ROW]
[ROW][C]119[/C][C]310[/C][C]341.115[/C][C]394.708[/C][C]-53.5934[/C][C]-31.1149[/C][/ROW]
[ROW][C]120[/C][C]337[/C][C]370.005[/C][C]398.625[/C][C]-28.6199[/C][C]-33.0051[/C][/ROW]
[ROW][C]121[/C][C]360[/C][C]377.793[/C][C]402.542[/C][C]-24.7487[/C][C]-17.7929[/C][/ROW]
[ROW][C]122[/C][C]342[/C][C]370.979[/C][C]407.167[/C][C]-36.1881[/C][C]-28.9785[/C][/ROW]
[ROW][C]123[/C][C]406[/C][C]409.634[/C][C]411.875[/C][C]-2.24116[/C][C]-3.63384[/C][/ROW]
[ROW][C]124[/C][C]396[/C][C]408.297[/C][C]416.333[/C][C]-8.03662[/C][C]-12.2967[/C][/ROW]
[ROW][C]125[/C][C]420[/C][C]415.994[/C][C]420.5[/C][C]-4.50631[/C][C]4.00631[/C][/ROW]
[ROW][C]126[/C][C]472[/C][C]460.903[/C][C]425.5[/C][C]35.4028[/C][C]11.0972[/C][/ROW]
[ROW][C]127[/C][C]548[/C][C]494.539[/C][C]430.708[/C][C]63.8308[/C][C]53.4609[/C][/ROW]
[ROW][C]128[/C][C]559[/C][C]497.948[/C][C]435.125[/C][C]62.8232[/C][C]61.0518[/C][/ROW]
[ROW][C]129[/C][C]463[/C][C]454.229[/C][C]437.708[/C][C]16.5202[/C][C]8.77146[/C][/ROW]
[ROW][C]130[/C][C]407[/C][C]420.316[/C][C]440.958[/C][C]-20.6427[/C][C]-13.3157[/C][/ROW]
[ROW][C]131[/C][C]362[/C][C]392.24[/C][C]445.833[/C][C]-53.5934[/C][C]-30.2399[/C][/ROW]
[ROW][C]132[/C][C]405[/C][C]422.005[/C][C]450.625[/C][C]-28.6199[/C][C]-17.0051[/C][/ROW]
[ROW][C]133[/C][C]417[/C][C]431.585[/C][C]456.333[/C][C]-24.7487[/C][C]-14.5846[/C][/ROW]
[ROW][C]134[/C][C]391[/C][C]425.187[/C][C]461.375[/C][C]-36.1881[/C][C]-34.1869[/C][/ROW]
[ROW][C]135[/C][C]419[/C][C]462.967[/C][C]465.208[/C][C]-2.24116[/C][C]-43.9672[/C][/ROW]
[ROW][C]136[/C][C]461[/C][C]461.297[/C][C]469.333[/C][C]-8.03662[/C][C]-0.296717[/C][/ROW]
[ROW][C]137[/C][C]472[/C][C]468.244[/C][C]472.75[/C][C]-4.50631[/C][C]3.75631[/C][/ROW]
[ROW][C]138[/C][C]535[/C][C]510.444[/C][C]475.042[/C][C]35.4028[/C][C]24.5556[/C][/ROW]
[ROW][C]139[/C][C]622[/C][C]NA[/C][C]NA[/C][C]63.8308[/C][C]NA[/C][/ROW]
[ROW][C]140[/C][C]606[/C][C]NA[/C][C]NA[/C][C]62.8232[/C][C]NA[/C][/ROW]
[ROW][C]141[/C][C]508[/C][C]NA[/C][C]NA[/C][C]16.5202[/C][C]NA[/C][/ROW]
[ROW][C]142[/C][C]461[/C][C]NA[/C][C]NA[/C][C]-20.6427[/C][C]NA[/C][/ROW]
[ROW][C]143[/C][C]390[/C][C]NA[/C][C]NA[/C][C]-53.5934[/C][C]NA[/C][/ROW]
[ROW][C]144[/C][C]432[/C][C]NA[/C][C]NA[/C][C]-28.6199[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231674&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231674&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
tObservationsFitTrendSeasonalRandom
1112NANA-24.7487NA
2118NANA-36.1881NA
3132NANA-2.24116NA
4129NANA-8.03662NA
5121NANA-4.50631NA
6135NANA35.4028NA
7148190.622126.79263.8308-42.6225
8148190.073127.2562.8232-42.0732
9136144.479127.95816.5202-8.47854
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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')