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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationTue, 07 Dec 2010 10:10:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/07/t1291716506uk1swxaxcq310fg.htm/, Retrieved Fri, 03 May 2024 18:32:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106118, Retrieved Fri, 03 May 2024 18:32:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

Tree of Dependent Computations

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]
- RMP   [Spectral Analysis] [Unemployment] [2010-11-29 09:21:38] [b98453cac15ba1066b407e146608df68]
- R  D    [Spectral Analysis] [Workshop 9; Coffe...] [2010-12-07 09:52:25] [8ffb4cfa64b4677df0d2c448735a40bb]
-   P       [Spectral Analysis] [Workshop 9; Coffe...] [2010-12-07 10:00:10] [8ffb4cfa64b4677df0d2c448735a40bb]
-   P           [Spectral Analysis] [Workshop 9; Coffe...] [2010-12-07 10:10:34] [50e0b5177c9c80b42996aa89930b928a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
168.67
164.83
184.38
180.81
190.54
181.41
155.67
135.99
125.88
126.09
114.86
127.98
127.98
125.11
125.93
128.2
125.93
111.94
120.01
124.09
126.02
136.41
143.79
141.67
143.9
155
144.83
141.4
137
141.02
131.11
132.83
136.73
141.18
137.86
133.79
128.53
125.87
124.27
123.96
128.15
126.4
127.86
129.31
132.56
141.28
145.55
146.54
143.14
145.72
148.21
150.4
149.94
146.66
143.37
145.29
140.24
136.12
140.25
140.64
145.58
143.73
141.27
140.66
141.94
141.16
134.31
132.93
133.07
140.48
154.85
196.77
235.3
226.52
237.62
224.07
208.74
174.54
170.63
172.23
198.36
175.91
154.63
134.31
121.75
119.6
102.04
106.3
116.38
103.72
98.56
100.9
110
118.26
124.77
125.22
126.38
137.14
134.74
134.3
136.39
141.83
139.24
128.89
134.83
130.43
132.09
144.95
149.5
137.57
139.38
143.06
138.65
123.21
85.91
77.4
77.84
67.76
70.72
72.55
75.83
84.01
93.96
93.73
92.02
88.26
86.48
94.42
94.92
91.41
84.84
89.89
86.32
89.57
93.72
92.27
87.59
85.5
82.81
81.62
87.45
79.86
78.52
75.1
72.99
67.88
70.14
65.43
60.26
58.38
57.68
52.42
52.73
61.4
67.13
77.46
68.66
67.46
62.77
56.88
61.48
61.99
71.56
76.56
79.82
75.05
77.07
80
77.21
82.16
85.57
89.23
121.98
142.56
217.67
198.07
220.1
198.68
181.64
167.47
172.33
168.71
178.22
172.81
168.83
152.25
143.83
151.41
131.87
125.38
123.23
103.99
109.38
123.79
119.05
122.01
128.56
127.91
120.47
122.49
114.05
120.62
119.61
115.01
131.83
167.2
193.82
204.43
264.5
212.55
186.52
185.17
184.38
161.45
154.15
174.25
175.04
175.87
154.82
147.08
134.35
121.56
113.86
119.89
108.07
107.07
115.14
116.03
111.48
103.24
103.23
99.69
108.91
104.21
90.85
87.64
81.06
92.2
114.02
123.56
109.17
101.65
97.95
92.56
91.76
84.1
84.67
74.52
73.83
75.37
70.47
64.5
64.98
66.94
65.93
65.51
68.94
63.67
58.47
59.68
57.71
56.53
58.96
55.6
57.34
60.51
66.38
65.78
58.43
55.16
53.09
52.02
57.58
64.05
70.18
63.86
65.22
67.6
61.66
65.32
66.18
61.34
62.29
63.6
65.51
62.58
62.36
64.88
73.73
77.51
77.47
74.34
75.81
82.16
73.96
73.17
80.99
79.81
89.51
102.57
107.11
122.23
134.69
128.79
126.16
119.98
108.45
108.43
98.17
106.09
108.81
103.03
124.36
118.52
112.2
114.71
107.96
101.21
102.77
112.13
109.36
110.91
123.57
129.95
124.46
122.34
116.61
114.59
112.52
118.67
116.8
123.63
128.04
134.57
130.33
136.47
139.05
158.21
148.07
137.74
139.74
144.08
145.35
145.77
140.56
121.41
120.44
116.97
128.03
128.51
127.76
134.58
147.64
144.46
137.6
146.87
145.67
151.95
150.23
155.86
154.4
156.36
162.13
171.06
174.01
193.52
205.26
212.8
222.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106118&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106118&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106118&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0028 (360)1.694969
0.0056 (180)7.930235
0.0083 (120)100.968976
0.0111 (90)9.197917
0.0139 (72)0.152641
0.0167 (60)35.415258
0.0194 (51.4286)109.589851
0.0222 (45)196.428713
0.025 (40)389.090963
0.0278 (36)1184.000028
0.0306 (32.7273)2508.816024
0.0333 (30)74.533561
0.0361 (27.6923)1536.175412
0.0389 (25.7143)2467.817995
0.0417 (24)209.701599
0.0444 (22.5)216.315414
0.0472 (21.1765)260.106536
0.05 (20)299.288604
0.0528 (18.9474)260.28705
0.0556 (18)179.99698
0.0583 (17.1429)665.557495
0.0611 (16.3636)1327.463698
0.0639 (15.6522)85.72531
0.0667 (15)48.596162
0.0694 (14.4)38.76429
0.0722 (13.8462)11.674152
0.075 (13.3333)38.625813
0.0778 (12.8571)18.022149
0.0806 (12.4138)6.872318
0.0833 (12)2.886249
0.0861 (11.6129)11.217849
0.0889 (11.25)81.963978
0.0917 (10.9091)127.654257
0.0944 (10.5882)515.322942
0.0972 (10.2857)678.350455
0.1 (10)191.685798
0.1028 (9.7297)493.175815
0.1056 (9.4737)205.501786
0.1083 (9.2308)844.646184
0.1111 (9)285.816399
0.1139 (8.7805)61.675533
0.1167 (8.5714)832.372712
0.1194 (8.3721)1570.900805
0.1222 (8.1818)181.821824
0.125 (8)1836.532731
0.1278 (7.8261)709.904804
0.1306 (7.6596)77.55133
0.1333 (7.5)609.161427
0.1361 (7.3469)130.498697
0.1389 (7.2)504.205324
0.1417 (7.0588)105.435247
0.1444 (6.9231)356.648289
0.1472 (6.7925)470.730847
0.15 (6.6667)414.395894
0.1528 (6.5455)33.446241
0.1556 (6.4286)222.44686
0.1583 (6.3158)48.996547
0.1611 (6.2069)10.42884
0.1639 (6.1017)3.418548
0.1667 (6)2.327081
0.1694 (5.9016)1.959021
0.1722 (5.8065)23.816283
0.175 (5.7143)12.567135
0.1778 (5.625)0.075325
0.1806 (5.5385)89.860951
0.1833 (5.4545)97.315172
0.1861 (5.3731)15.604212
0.1889 (5.2941)224.474007
0.1917 (5.2174)487.906082
0.1944 (5.1429)49.719063
0.1972 (5.0704)346.09312
0.2 (5)372.051067
0.2028 (4.9315)120.813328
0.2056 (4.8649)57.006578
0.2083 (4.8)423.835924
0.2111 (4.7368)349.301755
0.2139 (4.6753)478.26839
0.2167 (4.6154)62.620337
0.2194 (4.557)183.39416
0.2222 (4.5)246.121105
0.225 (4.4444)163.736315
0.2278 (4.3902)109.723989
0.2306 (4.3373)87.594392
0.2333 (4.2857)127.416772
0.2361 (4.2353)85.459947
0.2389 (4.186)19.152541
0.2417 (4.1379)63.623154
0.2444 (4.0909)7.925803
0.2472 (4.0449)1.358387
0.25 (4)0.728923
0.2528 (3.956)8.237055
0.2556 (3.913)23.050604
0.2583 (3.871)64.646457
0.2611 (3.8298)134.343314
0.2639 (3.7895)184.217752
0.2667 (3.75)49.937739
0.2694 (3.7113)258.495416
0.2722 (3.6735)465.979504
0.275 (3.6364)1.619388
0.2778 (3.6)514.897072
0.2806 (3.5644)350.800146
0.2833 (3.5294)11.406128
0.2861 (3.4951)383.650501
0.2889 (3.4615)927.753118
0.2917 (3.4286)442.557686
0.2944 (3.3962)345.717397
0.2972 (3.3645)254.911364
0.3 (3.3333)175.550001
0.3028 (3.3028)475.766934
0.3056 (3.2727)148.988321
0.3083 (3.2432)242.461244
0.3111 (3.2143)185.603212
0.3139 (3.1858)69.553132
0.3167 (3.1579)227.523581
0.3194 (3.1304)89.398941
0.3222 (3.1034)144.054139
0.325 (3.0769)94.881892
0.3278 (3.0508)39.66873
0.3306 (3.0252)1.746381
0.3333 (3)0.946584
0.3361 (2.9752)6.300727
0.3389 (2.9508)19.279422
0.3417 (2.9268)5.000533
0.3444 (2.9032)22.2241
0.3472 (2.88)17.333356
0.35 (2.8571)13.229086
0.3528 (2.8346)148.00715
0.3556 (2.8125)106.042112
0.3583 (2.7907)44.129143
0.3611 (2.7692)867.535581
0.3639 (2.7481)67.819664
0.3667 (2.7273)316.136735
0.3694 (2.7068)240.171318
0.3722 (2.6866)231.605772
0.375 (2.6667)795.0736
0.3778 (2.6471)536.241588
0.3806 (2.6277)225.46427
0.3833 (2.6087)417.714869
0.3861 (2.5899)151.117463
0.3889 (2.5714)145.299417
0.3917 (2.5532)551.010089
0.3944 (2.5352)46.662046
0.3972 (2.5175)24.071885
0.4 (2.5)81.150892
0.4028 (2.4828)2.181496
0.4056 (2.4658)40.576482
0.4083 (2.449)10.367335
0.4111 (2.4324)26.072607
0.4139 (2.4161)7.462565
0.4167 (2.4)0.190553
0.4194 (2.3841)1.837798
0.4222 (2.3684)3.734152
0.425 (2.3529)4.221653
0.4278 (2.3377)102.13395
0.4306 (2.3226)83.150643
0.4333 (2.3077)170.627225
0.4361 (2.293)72.603209
0.4389 (2.2785)416.057236
0.4417 (2.2642)1147.972827
0.4444 (2.25)199.431402
0.4472 (2.236)755.027682
0.45 (2.2222)16.506032
0.4528 (2.2086)303.845084
0.4556 (2.1951)113.724195
0.4583 (2.1818)191.523465
0.4611 (2.1687)308.812543
0.4639 (2.1557)586.937993
0.4667 (2.1429)703.42051
0.4694 (2.1302)1461.986291
0.4722 (2.1176)694.233175
0.475 (2.1053)96.420012
0.4778 (2.093)385.353669
0.4806 (2.0809)51.940557
0.4833 (2.069)58.690084
0.4861 (2.0571)14.824416
0.4889 (2.0455)115.192914
0.4917 (2.0339)68.137801
0.4944 (2.0225)2.337441
0.4972 (2.0112)12.356905
0.5 (2)0.278038

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 1 \tabularnewline
Degree of non-seasonal differencing (d) & 1 \tabularnewline
Degree of seasonal differencing (D) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0028 (360) & 1.694969 \tabularnewline
0.0056 (180) & 7.930235 \tabularnewline
0.0083 (120) & 100.968976 \tabularnewline
0.0111 (90) & 9.197917 \tabularnewline
0.0139 (72) & 0.152641 \tabularnewline
0.0167 (60) & 35.415258 \tabularnewline
0.0194 (51.4286) & 109.589851 \tabularnewline
0.0222 (45) & 196.428713 \tabularnewline
0.025 (40) & 389.090963 \tabularnewline
0.0278 (36) & 1184.000028 \tabularnewline
0.0306 (32.7273) & 2508.816024 \tabularnewline
0.0333 (30) & 74.533561 \tabularnewline
0.0361 (27.6923) & 1536.175412 \tabularnewline
0.0389 (25.7143) & 2467.817995 \tabularnewline
0.0417 (24) & 209.701599 \tabularnewline
0.0444 (22.5) & 216.315414 \tabularnewline
0.0472 (21.1765) & 260.106536 \tabularnewline
0.05 (20) & 299.288604 \tabularnewline
0.0528 (18.9474) & 260.28705 \tabularnewline
0.0556 (18) & 179.99698 \tabularnewline
0.0583 (17.1429) & 665.557495 \tabularnewline
0.0611 (16.3636) & 1327.463698 \tabularnewline
0.0639 (15.6522) & 85.72531 \tabularnewline
0.0667 (15) & 48.596162 \tabularnewline
0.0694 (14.4) & 38.76429 \tabularnewline
0.0722 (13.8462) & 11.674152 \tabularnewline
0.075 (13.3333) & 38.625813 \tabularnewline
0.0778 (12.8571) & 18.022149 \tabularnewline
0.0806 (12.4138) & 6.872318 \tabularnewline
0.0833 (12) & 2.886249 \tabularnewline
0.0861 (11.6129) & 11.217849 \tabularnewline
0.0889 (11.25) & 81.963978 \tabularnewline
0.0917 (10.9091) & 127.654257 \tabularnewline
0.0944 (10.5882) & 515.322942 \tabularnewline
0.0972 (10.2857) & 678.350455 \tabularnewline
0.1 (10) & 191.685798 \tabularnewline
0.1028 (9.7297) & 493.175815 \tabularnewline
0.1056 (9.4737) & 205.501786 \tabularnewline
0.1083 (9.2308) & 844.646184 \tabularnewline
0.1111 (9) & 285.816399 \tabularnewline
0.1139 (8.7805) & 61.675533 \tabularnewline
0.1167 (8.5714) & 832.372712 \tabularnewline
0.1194 (8.3721) & 1570.900805 \tabularnewline
0.1222 (8.1818) & 181.821824 \tabularnewline
0.125 (8) & 1836.532731 \tabularnewline
0.1278 (7.8261) & 709.904804 \tabularnewline
0.1306 (7.6596) & 77.55133 \tabularnewline
0.1333 (7.5) & 609.161427 \tabularnewline
0.1361 (7.3469) & 130.498697 \tabularnewline
0.1389 (7.2) & 504.205324 \tabularnewline
0.1417 (7.0588) & 105.435247 \tabularnewline
0.1444 (6.9231) & 356.648289 \tabularnewline
0.1472 (6.7925) & 470.730847 \tabularnewline
0.15 (6.6667) & 414.395894 \tabularnewline
0.1528 (6.5455) & 33.446241 \tabularnewline
0.1556 (6.4286) & 222.44686 \tabularnewline
0.1583 (6.3158) & 48.996547 \tabularnewline
0.1611 (6.2069) & 10.42884 \tabularnewline
0.1639 (6.1017) & 3.418548 \tabularnewline
0.1667 (6) & 2.327081 \tabularnewline
0.1694 (5.9016) & 1.959021 \tabularnewline
0.1722 (5.8065) & 23.816283 \tabularnewline
0.175 (5.7143) & 12.567135 \tabularnewline
0.1778 (5.625) & 0.075325 \tabularnewline
0.1806 (5.5385) & 89.860951 \tabularnewline
0.1833 (5.4545) & 97.315172 \tabularnewline
0.1861 (5.3731) & 15.604212 \tabularnewline
0.1889 (5.2941) & 224.474007 \tabularnewline
0.1917 (5.2174) & 487.906082 \tabularnewline
0.1944 (5.1429) & 49.719063 \tabularnewline
0.1972 (5.0704) & 346.09312 \tabularnewline
0.2 (5) & 372.051067 \tabularnewline
0.2028 (4.9315) & 120.813328 \tabularnewline
0.2056 (4.8649) & 57.006578 \tabularnewline
0.2083 (4.8) & 423.835924 \tabularnewline
0.2111 (4.7368) & 349.301755 \tabularnewline
0.2139 (4.6753) & 478.26839 \tabularnewline
0.2167 (4.6154) & 62.620337 \tabularnewline
0.2194 (4.557) & 183.39416 \tabularnewline
0.2222 (4.5) & 246.121105 \tabularnewline
0.225 (4.4444) & 163.736315 \tabularnewline
0.2278 (4.3902) & 109.723989 \tabularnewline
0.2306 (4.3373) & 87.594392 \tabularnewline
0.2333 (4.2857) & 127.416772 \tabularnewline
0.2361 (4.2353) & 85.459947 \tabularnewline
0.2389 (4.186) & 19.152541 \tabularnewline
0.2417 (4.1379) & 63.623154 \tabularnewline
0.2444 (4.0909) & 7.925803 \tabularnewline
0.2472 (4.0449) & 1.358387 \tabularnewline
0.25 (4) & 0.728923 \tabularnewline
0.2528 (3.956) & 8.237055 \tabularnewline
0.2556 (3.913) & 23.050604 \tabularnewline
0.2583 (3.871) & 64.646457 \tabularnewline
0.2611 (3.8298) & 134.343314 \tabularnewline
0.2639 (3.7895) & 184.217752 \tabularnewline
0.2667 (3.75) & 49.937739 \tabularnewline
0.2694 (3.7113) & 258.495416 \tabularnewline
0.2722 (3.6735) & 465.979504 \tabularnewline
0.275 (3.6364) & 1.619388 \tabularnewline
0.2778 (3.6) & 514.897072 \tabularnewline
0.2806 (3.5644) & 350.800146 \tabularnewline
0.2833 (3.5294) & 11.406128 \tabularnewline
0.2861 (3.4951) & 383.650501 \tabularnewline
0.2889 (3.4615) & 927.753118 \tabularnewline
0.2917 (3.4286) & 442.557686 \tabularnewline
0.2944 (3.3962) & 345.717397 \tabularnewline
0.2972 (3.3645) & 254.911364 \tabularnewline
0.3 (3.3333) & 175.550001 \tabularnewline
0.3028 (3.3028) & 475.766934 \tabularnewline
0.3056 (3.2727) & 148.988321 \tabularnewline
0.3083 (3.2432) & 242.461244 \tabularnewline
0.3111 (3.2143) & 185.603212 \tabularnewline
0.3139 (3.1858) & 69.553132 \tabularnewline
0.3167 (3.1579) & 227.523581 \tabularnewline
0.3194 (3.1304) & 89.398941 \tabularnewline
0.3222 (3.1034) & 144.054139 \tabularnewline
0.325 (3.0769) & 94.881892 \tabularnewline
0.3278 (3.0508) & 39.66873 \tabularnewline
0.3306 (3.0252) & 1.746381 \tabularnewline
0.3333 (3) & 0.946584 \tabularnewline
0.3361 (2.9752) & 6.300727 \tabularnewline
0.3389 (2.9508) & 19.279422 \tabularnewline
0.3417 (2.9268) & 5.000533 \tabularnewline
0.3444 (2.9032) & 22.2241 \tabularnewline
0.3472 (2.88) & 17.333356 \tabularnewline
0.35 (2.8571) & 13.229086 \tabularnewline
0.3528 (2.8346) & 148.00715 \tabularnewline
0.3556 (2.8125) & 106.042112 \tabularnewline
0.3583 (2.7907) & 44.129143 \tabularnewline
0.3611 (2.7692) & 867.535581 \tabularnewline
0.3639 (2.7481) & 67.819664 \tabularnewline
0.3667 (2.7273) & 316.136735 \tabularnewline
0.3694 (2.7068) & 240.171318 \tabularnewline
0.3722 (2.6866) & 231.605772 \tabularnewline
0.375 (2.6667) & 795.0736 \tabularnewline
0.3778 (2.6471) & 536.241588 \tabularnewline
0.3806 (2.6277) & 225.46427 \tabularnewline
0.3833 (2.6087) & 417.714869 \tabularnewline
0.3861 (2.5899) & 151.117463 \tabularnewline
0.3889 (2.5714) & 145.299417 \tabularnewline
0.3917 (2.5532) & 551.010089 \tabularnewline
0.3944 (2.5352) & 46.662046 \tabularnewline
0.3972 (2.5175) & 24.071885 \tabularnewline
0.4 (2.5) & 81.150892 \tabularnewline
0.4028 (2.4828) & 2.181496 \tabularnewline
0.4056 (2.4658) & 40.576482 \tabularnewline
0.4083 (2.449) & 10.367335 \tabularnewline
0.4111 (2.4324) & 26.072607 \tabularnewline
0.4139 (2.4161) & 7.462565 \tabularnewline
0.4167 (2.4) & 0.190553 \tabularnewline
0.4194 (2.3841) & 1.837798 \tabularnewline
0.4222 (2.3684) & 3.734152 \tabularnewline
0.425 (2.3529) & 4.221653 \tabularnewline
0.4278 (2.3377) & 102.13395 \tabularnewline
0.4306 (2.3226) & 83.150643 \tabularnewline
0.4333 (2.3077) & 170.627225 \tabularnewline
0.4361 (2.293) & 72.603209 \tabularnewline
0.4389 (2.2785) & 416.057236 \tabularnewline
0.4417 (2.2642) & 1147.972827 \tabularnewline
0.4444 (2.25) & 199.431402 \tabularnewline
0.4472 (2.236) & 755.027682 \tabularnewline
0.45 (2.2222) & 16.506032 \tabularnewline
0.4528 (2.2086) & 303.845084 \tabularnewline
0.4556 (2.1951) & 113.724195 \tabularnewline
0.4583 (2.1818) & 191.523465 \tabularnewline
0.4611 (2.1687) & 308.812543 \tabularnewline
0.4639 (2.1557) & 586.937993 \tabularnewline
0.4667 (2.1429) & 703.42051 \tabularnewline
0.4694 (2.1302) & 1461.986291 \tabularnewline
0.4722 (2.1176) & 694.233175 \tabularnewline
0.475 (2.1053) & 96.420012 \tabularnewline
0.4778 (2.093) & 385.353669 \tabularnewline
0.4806 (2.0809) & 51.940557 \tabularnewline
0.4833 (2.069) & 58.690084 \tabularnewline
0.4861 (2.0571) & 14.824416 \tabularnewline
0.4889 (2.0455) & 115.192914 \tabularnewline
0.4917 (2.0339) & 68.137801 \tabularnewline
0.4944 (2.0225) & 2.337441 \tabularnewline
0.4972 (2.0112) & 12.356905 \tabularnewline
0.5 (2) & 0.278038 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106118&T=1

[TABLE]
[ROW][C]Raw Periodogram[/C][/ROW]
[ROW][C]Parameter[/C][C]Value[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda)[/C][C]1[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]1[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D)[/C][C]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0028 (360)[/C][C]1.694969[/C][/ROW]
[ROW][C]0.0056 (180)[/C][C]7.930235[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]100.968976[/C][/ROW]
[ROW][C]0.0111 (90)[/C][C]9.197917[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]0.152641[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]35.415258[/C][/ROW]
[ROW][C]0.0194 (51.4286)[/C][C]109.589851[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]196.428713[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]389.090963[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]1184.000028[/C][/ROW]
[ROW][C]0.0306 (32.7273)[/C][C]2508.816024[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]74.533561[/C][/ROW]
[ROW][C]0.0361 (27.6923)[/C][C]1536.175412[/C][/ROW]
[ROW][C]0.0389 (25.7143)[/C][C]2467.817995[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]209.701599[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]216.315414[/C][/ROW]
[ROW][C]0.0472 (21.1765)[/C][C]260.106536[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]299.288604[/C][/ROW]
[ROW][C]0.0528 (18.9474)[/C][C]260.28705[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]179.99698[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]665.557495[/C][/ROW]
[ROW][C]0.0611 (16.3636)[/C][C]1327.463698[/C][/ROW]
[ROW][C]0.0639 (15.6522)[/C][C]85.72531[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]48.596162[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]38.76429[/C][/ROW]
[ROW][C]0.0722 (13.8462)[/C][C]11.674152[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]38.625813[/C][/ROW]
[ROW][C]0.0778 (12.8571)[/C][C]18.022149[/C][/ROW]
[ROW][C]0.0806 (12.4138)[/C][C]6.872318[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]2.886249[/C][/ROW]
[ROW][C]0.0861 (11.6129)[/C][C]11.217849[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]81.963978[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]127.654257[/C][/ROW]
[ROW][C]0.0944 (10.5882)[/C][C]515.322942[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]678.350455[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]191.685798[/C][/ROW]
[ROW][C]0.1028 (9.7297)[/C][C]493.175815[/C][/ROW]
[ROW][C]0.1056 (9.4737)[/C][C]205.501786[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]844.646184[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]285.816399[/C][/ROW]
[ROW][C]0.1139 (8.7805)[/C][C]61.675533[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]832.372712[/C][/ROW]
[ROW][C]0.1194 (8.3721)[/C][C]1570.900805[/C][/ROW]
[ROW][C]0.1222 (8.1818)[/C][C]181.821824[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]1836.532731[/C][/ROW]
[ROW][C]0.1278 (7.8261)[/C][C]709.904804[/C][/ROW]
[ROW][C]0.1306 (7.6596)[/C][C]77.55133[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]609.161427[/C][/ROW]
[ROW][C]0.1361 (7.3469)[/C][C]130.498697[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]504.205324[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]105.435247[/C][/ROW]
[ROW][C]0.1444 (6.9231)[/C][C]356.648289[/C][/ROW]
[ROW][C]0.1472 (6.7925)[/C][C]470.730847[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]414.395894[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]33.446241[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]222.44686[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]48.996547[/C][/ROW]
[ROW][C]0.1611 (6.2069)[/C][C]10.42884[/C][/ROW]
[ROW][C]0.1639 (6.1017)[/C][C]3.418548[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]2.327081[/C][/ROW]
[ROW][C]0.1694 (5.9016)[/C][C]1.959021[/C][/ROW]
[ROW][C]0.1722 (5.8065)[/C][C]23.816283[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]12.567135[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]0.075325[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]89.860951[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]97.315172[/C][/ROW]
[ROW][C]0.1861 (5.3731)[/C][C]15.604212[/C][/ROW]
[ROW][C]0.1889 (5.2941)[/C][C]224.474007[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]487.906082[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]49.719063[/C][/ROW]
[ROW][C]0.1972 (5.0704)[/C][C]346.09312[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]372.051067[/C][/ROW]
[ROW][C]0.2028 (4.9315)[/C][C]120.813328[/C][/ROW]
[ROW][C]0.2056 (4.8649)[/C][C]57.006578[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]423.835924[/C][/ROW]
[ROW][C]0.2111 (4.7368)[/C][C]349.301755[/C][/ROW]
[ROW][C]0.2139 (4.6753)[/C][C]478.26839[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]62.620337[/C][/ROW]
[ROW][C]0.2194 (4.557)[/C][C]183.39416[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]246.121105[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]163.736315[/C][/ROW]
[ROW][C]0.2278 (4.3902)[/C][C]109.723989[/C][/ROW]
[ROW][C]0.2306 (4.3373)[/C][C]87.594392[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]127.416772[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]85.459947[/C][/ROW]
[ROW][C]0.2389 (4.186)[/C][C]19.152541[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]63.623154[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]7.925803[/C][/ROW]
[ROW][C]0.2472 (4.0449)[/C][C]1.358387[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.728923[/C][/ROW]
[ROW][C]0.2528 (3.956)[/C][C]8.237055[/C][/ROW]
[ROW][C]0.2556 (3.913)[/C][C]23.050604[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]64.646457[/C][/ROW]
[ROW][C]0.2611 (3.8298)[/C][C]134.343314[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]184.217752[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]49.937739[/C][/ROW]
[ROW][C]0.2694 (3.7113)[/C][C]258.495416[/C][/ROW]
[ROW][C]0.2722 (3.6735)[/C][C]465.979504[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]1.619388[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]514.897072[/C][/ROW]
[ROW][C]0.2806 (3.5644)[/C][C]350.800146[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]11.406128[/C][/ROW]
[ROW][C]0.2861 (3.4951)[/C][C]383.650501[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]927.753118[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]442.557686[/C][/ROW]
[ROW][C]0.2944 (3.3962)[/C][C]345.717397[/C][/ROW]
[ROW][C]0.2972 (3.3645)[/C][C]254.911364[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]175.550001[/C][/ROW]
[ROW][C]0.3028 (3.3028)[/C][C]475.766934[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]148.988321[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]242.461244[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]185.603212[/C][/ROW]
[ROW][C]0.3139 (3.1858)[/C][C]69.553132[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]227.523581[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]89.398941[/C][/ROW]
[ROW][C]0.3222 (3.1034)[/C][C]144.054139[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]94.881892[/C][/ROW]
[ROW][C]0.3278 (3.0508)[/C][C]39.66873[/C][/ROW]
[ROW][C]0.3306 (3.0252)[/C][C]1.746381[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.946584[/C][/ROW]
[ROW][C]0.3361 (2.9752)[/C][C]6.300727[/C][/ROW]
[ROW][C]0.3389 (2.9508)[/C][C]19.279422[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]5.000533[/C][/ROW]
[ROW][C]0.3444 (2.9032)[/C][C]22.2241[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]17.333356[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]13.229086[/C][/ROW]
[ROW][C]0.3528 (2.8346)[/C][C]148.00715[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]106.042112[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]44.129143[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]867.535581[/C][/ROW]
[ROW][C]0.3639 (2.7481)[/C][C]67.819664[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]316.136735[/C][/ROW]
[ROW][C]0.3694 (2.7068)[/C][C]240.171318[/C][/ROW]
[ROW][C]0.3722 (2.6866)[/C][C]231.605772[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]795.0736[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]536.241588[/C][/ROW]
[ROW][C]0.3806 (2.6277)[/C][C]225.46427[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]417.714869[/C][/ROW]
[ROW][C]0.3861 (2.5899)[/C][C]151.117463[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]145.299417[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]551.010089[/C][/ROW]
[ROW][C]0.3944 (2.5352)[/C][C]46.662046[/C][/ROW]
[ROW][C]0.3972 (2.5175)[/C][C]24.071885[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]81.150892[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]2.181496[/C][/ROW]
[ROW][C]0.4056 (2.4658)[/C][C]40.576482[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]10.367335[/C][/ROW]
[ROW][C]0.4111 (2.4324)[/C][C]26.072607[/C][/ROW]
[ROW][C]0.4139 (2.4161)[/C][C]7.462565[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.190553[/C][/ROW]
[ROW][C]0.4194 (2.3841)[/C][C]1.837798[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]3.734152[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]4.221653[/C][/ROW]
[ROW][C]0.4278 (2.3377)[/C][C]102.13395[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]83.150643[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]170.627225[/C][/ROW]
[ROW][C]0.4361 (2.293)[/C][C]72.603209[/C][/ROW]
[ROW][C]0.4389 (2.2785)[/C][C]416.057236[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]1147.972827[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]199.431402[/C][/ROW]
[ROW][C]0.4472 (2.236)[/C][C]755.027682[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]16.506032[/C][/ROW]
[ROW][C]0.4528 (2.2086)[/C][C]303.845084[/C][/ROW]
[ROW][C]0.4556 (2.1951)[/C][C]113.724195[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]191.523465[/C][/ROW]
[ROW][C]0.4611 (2.1687)[/C][C]308.812543[/C][/ROW]
[ROW][C]0.4639 (2.1557)[/C][C]586.937993[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]703.42051[/C][/ROW]
[ROW][C]0.4694 (2.1302)[/C][C]1461.986291[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]694.233175[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]96.420012[/C][/ROW]
[ROW][C]0.4778 (2.093)[/C][C]385.353669[/C][/ROW]
[ROW][C]0.4806 (2.0809)[/C][C]51.940557[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]58.690084[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]14.824416[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]115.192914[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]68.137801[/C][/ROW]
[ROW][C]0.4944 (2.0225)[/C][C]2.337441[/C][/ROW]
[ROW][C]0.4972 (2.0112)[/C][C]12.356905[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.278038[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106118&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106118&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0028 (360)1.694969
0.0056 (180)7.930235
0.0083 (120)100.968976
0.0111 (90)9.197917
0.0139 (72)0.152641
0.0167 (60)35.415258
0.0194 (51.4286)109.589851
0.0222 (45)196.428713
0.025 (40)389.090963
0.0278 (36)1184.000028
0.0306 (32.7273)2508.816024
0.0333 (30)74.533561
0.0361 (27.6923)1536.175412
0.0389 (25.7143)2467.817995
0.0417 (24)209.701599
0.0444 (22.5)216.315414
0.0472 (21.1765)260.106536
0.05 (20)299.288604
0.0528 (18.9474)260.28705
0.0556 (18)179.99698
0.0583 (17.1429)665.557495
0.0611 (16.3636)1327.463698
0.0639 (15.6522)85.72531
0.0667 (15)48.596162
0.0694 (14.4)38.76429
0.0722 (13.8462)11.674152
0.075 (13.3333)38.625813
0.0778 (12.8571)18.022149
0.0806 (12.4138)6.872318
0.0833 (12)2.886249
0.0861 (11.6129)11.217849
0.0889 (11.25)81.963978
0.0917 (10.9091)127.654257
0.0944 (10.5882)515.322942
0.0972 (10.2857)678.350455
0.1 (10)191.685798
0.1028 (9.7297)493.175815
0.1056 (9.4737)205.501786
0.1083 (9.2308)844.646184
0.1111 (9)285.816399
0.1139 (8.7805)61.675533
0.1167 (8.5714)832.372712
0.1194 (8.3721)1570.900805
0.1222 (8.1818)181.821824
0.125 (8)1836.532731
0.1278 (7.8261)709.904804
0.1306 (7.6596)77.55133
0.1333 (7.5)609.161427
0.1361 (7.3469)130.498697
0.1389 (7.2)504.205324
0.1417 (7.0588)105.435247
0.1444 (6.9231)356.648289
0.1472 (6.7925)470.730847
0.15 (6.6667)414.395894
0.1528 (6.5455)33.446241
0.1556 (6.4286)222.44686
0.1583 (6.3158)48.996547
0.1611 (6.2069)10.42884
0.1639 (6.1017)3.418548
0.1667 (6)2.327081
0.1694 (5.9016)1.959021
0.1722 (5.8065)23.816283
0.175 (5.7143)12.567135
0.1778 (5.625)0.075325
0.1806 (5.5385)89.860951
0.1833 (5.4545)97.315172
0.1861 (5.3731)15.604212
0.1889 (5.2941)224.474007
0.1917 (5.2174)487.906082
0.1944 (5.1429)49.719063
0.1972 (5.0704)346.09312
0.2 (5)372.051067
0.2028 (4.9315)120.813328
0.2056 (4.8649)57.006578
0.2083 (4.8)423.835924
0.2111 (4.7368)349.301755
0.2139 (4.6753)478.26839
0.2167 (4.6154)62.620337
0.2194 (4.557)183.39416
0.2222 (4.5)246.121105
0.225 (4.4444)163.736315
0.2278 (4.3902)109.723989
0.2306 (4.3373)87.594392
0.2333 (4.2857)127.416772
0.2361 (4.2353)85.459947
0.2389 (4.186)19.152541
0.2417 (4.1379)63.623154
0.2444 (4.0909)7.925803
0.2472 (4.0449)1.358387
0.25 (4)0.728923
0.2528 (3.956)8.237055
0.2556 (3.913)23.050604
0.2583 (3.871)64.646457
0.2611 (3.8298)134.343314
0.2639 (3.7895)184.217752
0.2667 (3.75)49.937739
0.2694 (3.7113)258.495416
0.2722 (3.6735)465.979504
0.275 (3.6364)1.619388
0.2778 (3.6)514.897072
0.2806 (3.5644)350.800146
0.2833 (3.5294)11.406128
0.2861 (3.4951)383.650501
0.2889 (3.4615)927.753118
0.2917 (3.4286)442.557686
0.2944 (3.3962)345.717397
0.2972 (3.3645)254.911364
0.3 (3.3333)175.550001
0.3028 (3.3028)475.766934
0.3056 (3.2727)148.988321
0.3083 (3.2432)242.461244
0.3111 (3.2143)185.603212
0.3139 (3.1858)69.553132
0.3167 (3.1579)227.523581
0.3194 (3.1304)89.398941
0.3222 (3.1034)144.054139
0.325 (3.0769)94.881892
0.3278 (3.0508)39.66873
0.3306 (3.0252)1.746381
0.3333 (3)0.946584
0.3361 (2.9752)6.300727
0.3389 (2.9508)19.279422
0.3417 (2.9268)5.000533
0.3444 (2.9032)22.2241
0.3472 (2.88)17.333356
0.35 (2.8571)13.229086
0.3528 (2.8346)148.00715
0.3556 (2.8125)106.042112
0.3583 (2.7907)44.129143
0.3611 (2.7692)867.535581
0.3639 (2.7481)67.819664
0.3667 (2.7273)316.136735
0.3694 (2.7068)240.171318
0.3722 (2.6866)231.605772
0.375 (2.6667)795.0736
0.3778 (2.6471)536.241588
0.3806 (2.6277)225.46427
0.3833 (2.6087)417.714869
0.3861 (2.5899)151.117463
0.3889 (2.5714)145.299417
0.3917 (2.5532)551.010089
0.3944 (2.5352)46.662046
0.3972 (2.5175)24.071885
0.4 (2.5)81.150892
0.4028 (2.4828)2.181496
0.4056 (2.4658)40.576482
0.4083 (2.449)10.367335
0.4111 (2.4324)26.072607
0.4139 (2.4161)7.462565
0.4167 (2.4)0.190553
0.4194 (2.3841)1.837798
0.4222 (2.3684)3.734152
0.425 (2.3529)4.221653
0.4278 (2.3377)102.13395
0.4306 (2.3226)83.150643
0.4333 (2.3077)170.627225
0.4361 (2.293)72.603209
0.4389 (2.2785)416.057236
0.4417 (2.2642)1147.972827
0.4444 (2.25)199.431402
0.4472 (2.236)755.027682
0.45 (2.2222)16.506032
0.4528 (2.2086)303.845084
0.4556 (2.1951)113.724195
0.4583 (2.1818)191.523465
0.4611 (2.1687)308.812543
0.4639 (2.1557)586.937993
0.4667 (2.1429)703.42051
0.4694 (2.1302)1461.986291
0.4722 (2.1176)694.233175
0.475 (2.1053)96.420012
0.4778 (2.093)385.353669
0.4806 (2.0809)51.940557
0.4833 (2.069)58.690084
0.4861 (2.0571)14.824416
0.4889 (2.0455)115.192914
0.4917 (2.0339)68.137801
0.4944 (2.0225)2.337441
0.4972 (2.0112)12.356905
0.5 (2)0.278038


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
if (par1 == 0) {
x <- log(x)
} else {
x <- (x ^ par1 - 1) / par1
}
if (par2 > 0) x <- diff(x,lag=1,difference=par2)
if (par3 > 0) x <- diff(x,lag=par4,difference=par3)
bitmap(file='test1.png')
r <- spectrum(x,main='Raw Periodogram')
dev.off()
bitmap(file='test2.png')
cpgram(x,main='Cumulative Periodogram')
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Raw Periodogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal Period (s)',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Frequency (Period)',header=TRUE)
a<-table.element(a,'Spectrum',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(r$freq)) {
a<-table.row.start(a)
mylab <- round(r$freq[i],4)
mylab <- paste(mylab,' (',sep='')
mylab <- paste(mylab,round(1/r$freq[i],4),sep='')
mylab <- paste(mylab,')',sep='')
a<-table.element(a,mylab,header=TRUE)
a<-table.element(a,round(r$spec[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')