Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationSun, 18 Dec 2016 15:37:49 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/18/t1482071925grdt3wb782pt79d.htm/, Retrieved Wed, 08 May 2024 22:57:45 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 08 May 2024 22:57:45 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
3647
1885
4791
3178
2849
4716
3085
2799
3573
2721
3355
5667
2856
1944
4188
2949
3567
4137
3494
2489
3244
2669
2529
3377
3366
2073
4133
4213
3710
5123
3141
3084
3804
3203
2757
2243
5229
2857
3395
4882
7140
8945
6866
4205
3217
3079
2263
4187
2665
2073
3540
3686
2384
4500
1679
868
1869
3710
6904
3415
938
3359
3551
2278
3033
2280
2901
4812
4882
7896
5048
3741
4418
3471
5055
7595
8124
2333
3008
2744
2833
2428
4269
3207
5170
7767
4544
3741
2193
3432
5282
6635
4222
7317
4132
5048
4383
3761
4081
6491
5859
7139
7682
8649
6146
7137
9948
15819
8370
13222
16711
19059
8303
20781
9638
13444
6072
13442
14457
17705
16463
19194
20688
14739
12702
15760




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







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)4
Frequency (Period)Spectrum
0.008 (125)340995.386619
0.016 (62.5)19701.319709
0.024 (41.6667)118530.796733
0.032 (31.25)515584.550202
0.04 (25)486923.983627
0.048 (20.8333)1434556.257448
0.056 (17.8571)3429352.126765
0.064 (15.625)1420727.293318
0.072 (13.8889)7753682.623041
0.08 (12.5)746096.813868
0.088 (11.3636)5566408.796581
0.096 (10.4167)7933689.681762
0.104 (9.6154)481370.66553
0.112 (8.9286)32185868.827448
0.12 (8.3333)30868555.973658
0.128 (7.8125)1525619.332842
0.136 (7.3529)8731625.420504
0.144 (6.9444)4928019.107043
0.152 (6.5789)1346450.36129
0.16 (6.25)378223.510427
0.168 (5.9524)15502030.051067
0.176 (5.6818)18853238.146605
0.184 (5.4348)25747571.164332
0.192 (5.2083)3522828.759912
0.2 (5)3090237.77087
0.208 (4.8077)737941.060194
0.216 (4.6296)698470.556604
0.224 (4.4643)1525861.945594
0.232 (4.3103)1065497.022589
0.24 (4.1667)54277.346773
0.248 (4.0323)259314.373579
0.256 (3.9062)442617.900477
0.264 (3.7879)1217705.873636
0.272 (3.6765)2915582.392706
0.28 (3.5714)7565216.161852
0.288 (3.4722)15823922.396332
0.296 (3.3784)4180881.85739
0.304 (3.2895)4371947.511434
0.312 (3.2051)26835536.047507
0.32 (3.125)27143221.28053
0.328 (3.0488)5352092.698978
0.336 (2.9762)7330418.207583
0.344 (2.907)71288586.037884
0.352 (2.8409)70147255.849079
0.36 (2.7778)3001125.377982
0.368 (2.7174)48850132.624942
0.376 (2.6596)6282504.025083
0.384 (2.6042)14986863.977456
0.392 (2.551)21553079.423849
0.4 (2.5)11539346.412009
0.408 (2.451)8460921.220569
0.416 (2.4038)16317233.069525
0.424 (2.3585)2233766.4022
0.432 (2.3148)15340326.83863
0.44 (2.2727)7275947.557474
0.448 (2.2321)9098960.579035
0.456 (2.193)33150979.198697
0.464 (2.1552)10574304.442842
0.472 (2.1186)4024644.198492
0.48 (2.0833)3624777.358468
0.488 (2.0492)3584890.309543
0.496 (2.0161)3228840.129677

\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) & 4 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.008 (125) & 340995.386619 \tabularnewline
0.016 (62.5) & 19701.319709 \tabularnewline
0.024 (41.6667) & 118530.796733 \tabularnewline
0.032 (31.25) & 515584.550202 \tabularnewline
0.04 (25) & 486923.983627 \tabularnewline
0.048 (20.8333) & 1434556.257448 \tabularnewline
0.056 (17.8571) & 3429352.126765 \tabularnewline
0.064 (15.625) & 1420727.293318 \tabularnewline
0.072 (13.8889) & 7753682.623041 \tabularnewline
0.08 (12.5) & 746096.813868 \tabularnewline
0.088 (11.3636) & 5566408.796581 \tabularnewline
0.096 (10.4167) & 7933689.681762 \tabularnewline
0.104 (9.6154) & 481370.66553 \tabularnewline
0.112 (8.9286) & 32185868.827448 \tabularnewline
0.12 (8.3333) & 30868555.973658 \tabularnewline
0.128 (7.8125) & 1525619.332842 \tabularnewline
0.136 (7.3529) & 8731625.420504 \tabularnewline
0.144 (6.9444) & 4928019.107043 \tabularnewline
0.152 (6.5789) & 1346450.36129 \tabularnewline
0.16 (6.25) & 378223.510427 \tabularnewline
0.168 (5.9524) & 15502030.051067 \tabularnewline
0.176 (5.6818) & 18853238.146605 \tabularnewline
0.184 (5.4348) & 25747571.164332 \tabularnewline
0.192 (5.2083) & 3522828.759912 \tabularnewline
0.2 (5) & 3090237.77087 \tabularnewline
0.208 (4.8077) & 737941.060194 \tabularnewline
0.216 (4.6296) & 698470.556604 \tabularnewline
0.224 (4.4643) & 1525861.945594 \tabularnewline
0.232 (4.3103) & 1065497.022589 \tabularnewline
0.24 (4.1667) & 54277.346773 \tabularnewline
0.248 (4.0323) & 259314.373579 \tabularnewline
0.256 (3.9062) & 442617.900477 \tabularnewline
0.264 (3.7879) & 1217705.873636 \tabularnewline
0.272 (3.6765) & 2915582.392706 \tabularnewline
0.28 (3.5714) & 7565216.161852 \tabularnewline
0.288 (3.4722) & 15823922.396332 \tabularnewline
0.296 (3.3784) & 4180881.85739 \tabularnewline
0.304 (3.2895) & 4371947.511434 \tabularnewline
0.312 (3.2051) & 26835536.047507 \tabularnewline
0.32 (3.125) & 27143221.28053 \tabularnewline
0.328 (3.0488) & 5352092.698978 \tabularnewline
0.336 (2.9762) & 7330418.207583 \tabularnewline
0.344 (2.907) & 71288586.037884 \tabularnewline
0.352 (2.8409) & 70147255.849079 \tabularnewline
0.36 (2.7778) & 3001125.377982 \tabularnewline
0.368 (2.7174) & 48850132.624942 \tabularnewline
0.376 (2.6596) & 6282504.025083 \tabularnewline
0.384 (2.6042) & 14986863.977456 \tabularnewline
0.392 (2.551) & 21553079.423849 \tabularnewline
0.4 (2.5) & 11539346.412009 \tabularnewline
0.408 (2.451) & 8460921.220569 \tabularnewline
0.416 (2.4038) & 16317233.069525 \tabularnewline
0.424 (2.3585) & 2233766.4022 \tabularnewline
0.432 (2.3148) & 15340326.83863 \tabularnewline
0.44 (2.2727) & 7275947.557474 \tabularnewline
0.448 (2.2321) & 9098960.579035 \tabularnewline
0.456 (2.193) & 33150979.198697 \tabularnewline
0.464 (2.1552) & 10574304.442842 \tabularnewline
0.472 (2.1186) & 4024644.198492 \tabularnewline
0.48 (2.0833) & 3624777.358468 \tabularnewline
0.488 (2.0492) & 3584890.309543 \tabularnewline
0.496 (2.0161) & 3228840.129677 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]4[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.008 (125)[/C][C]340995.386619[/C][/ROW]
[ROW][C]0.016 (62.5)[/C][C]19701.319709[/C][/ROW]
[ROW][C]0.024 (41.6667)[/C][C]118530.796733[/C][/ROW]
[ROW][C]0.032 (31.25)[/C][C]515584.550202[/C][/ROW]
[ROW][C]0.04 (25)[/C][C]486923.983627[/C][/ROW]
[ROW][C]0.048 (20.8333)[/C][C]1434556.257448[/C][/ROW]
[ROW][C]0.056 (17.8571)[/C][C]3429352.126765[/C][/ROW]
[ROW][C]0.064 (15.625)[/C][C]1420727.293318[/C][/ROW]
[ROW][C]0.072 (13.8889)[/C][C]7753682.623041[/C][/ROW]
[ROW][C]0.08 (12.5)[/C][C]746096.813868[/C][/ROW]
[ROW][C]0.088 (11.3636)[/C][C]5566408.796581[/C][/ROW]
[ROW][C]0.096 (10.4167)[/C][C]7933689.681762[/C][/ROW]
[ROW][C]0.104 (9.6154)[/C][C]481370.66553[/C][/ROW]
[ROW][C]0.112 (8.9286)[/C][C]32185868.827448[/C][/ROW]
[ROW][C]0.12 (8.3333)[/C][C]30868555.973658[/C][/ROW]
[ROW][C]0.128 (7.8125)[/C][C]1525619.332842[/C][/ROW]
[ROW][C]0.136 (7.3529)[/C][C]8731625.420504[/C][/ROW]
[ROW][C]0.144 (6.9444)[/C][C]4928019.107043[/C][/ROW]
[ROW][C]0.152 (6.5789)[/C][C]1346450.36129[/C][/ROW]
[ROW][C]0.16 (6.25)[/C][C]378223.510427[/C][/ROW]
[ROW][C]0.168 (5.9524)[/C][C]15502030.051067[/C][/ROW]
[ROW][C]0.176 (5.6818)[/C][C]18853238.146605[/C][/ROW]
[ROW][C]0.184 (5.4348)[/C][C]25747571.164332[/C][/ROW]
[ROW][C]0.192 (5.2083)[/C][C]3522828.759912[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]3090237.77087[/C][/ROW]
[ROW][C]0.208 (4.8077)[/C][C]737941.060194[/C][/ROW]
[ROW][C]0.216 (4.6296)[/C][C]698470.556604[/C][/ROW]
[ROW][C]0.224 (4.4643)[/C][C]1525861.945594[/C][/ROW]
[ROW][C]0.232 (4.3103)[/C][C]1065497.022589[/C][/ROW]
[ROW][C]0.24 (4.1667)[/C][C]54277.346773[/C][/ROW]
[ROW][C]0.248 (4.0323)[/C][C]259314.373579[/C][/ROW]
[ROW][C]0.256 (3.9062)[/C][C]442617.900477[/C][/ROW]
[ROW][C]0.264 (3.7879)[/C][C]1217705.873636[/C][/ROW]
[ROW][C]0.272 (3.6765)[/C][C]2915582.392706[/C][/ROW]
[ROW][C]0.28 (3.5714)[/C][C]7565216.161852[/C][/ROW]
[ROW][C]0.288 (3.4722)[/C][C]15823922.396332[/C][/ROW]
[ROW][C]0.296 (3.3784)[/C][C]4180881.85739[/C][/ROW]
[ROW][C]0.304 (3.2895)[/C][C]4371947.511434[/C][/ROW]
[ROW][C]0.312 (3.2051)[/C][C]26835536.047507[/C][/ROW]
[ROW][C]0.32 (3.125)[/C][C]27143221.28053[/C][/ROW]
[ROW][C]0.328 (3.0488)[/C][C]5352092.698978[/C][/ROW]
[ROW][C]0.336 (2.9762)[/C][C]7330418.207583[/C][/ROW]
[ROW][C]0.344 (2.907)[/C][C]71288586.037884[/C][/ROW]
[ROW][C]0.352 (2.8409)[/C][C]70147255.849079[/C][/ROW]
[ROW][C]0.36 (2.7778)[/C][C]3001125.377982[/C][/ROW]
[ROW][C]0.368 (2.7174)[/C][C]48850132.624942[/C][/ROW]
[ROW][C]0.376 (2.6596)[/C][C]6282504.025083[/C][/ROW]
[ROW][C]0.384 (2.6042)[/C][C]14986863.977456[/C][/ROW]
[ROW][C]0.392 (2.551)[/C][C]21553079.423849[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]11539346.412009[/C][/ROW]
[ROW][C]0.408 (2.451)[/C][C]8460921.220569[/C][/ROW]
[ROW][C]0.416 (2.4038)[/C][C]16317233.069525[/C][/ROW]
[ROW][C]0.424 (2.3585)[/C][C]2233766.4022[/C][/ROW]
[ROW][C]0.432 (2.3148)[/C][C]15340326.83863[/C][/ROW]
[ROW][C]0.44 (2.2727)[/C][C]7275947.557474[/C][/ROW]
[ROW][C]0.448 (2.2321)[/C][C]9098960.579035[/C][/ROW]
[ROW][C]0.456 (2.193)[/C][C]33150979.198697[/C][/ROW]
[ROW][C]0.464 (2.1552)[/C][C]10574304.442842[/C][/ROW]
[ROW][C]0.472 (2.1186)[/C][C]4024644.198492[/C][/ROW]
[ROW][C]0.48 (2.0833)[/C][C]3624777.358468[/C][/ROW]
[ROW][C]0.488 (2.0492)[/C][C]3584890.309543[/C][/ROW]
[ROW][C]0.496 (2.0161)[/C][C]3228840.129677[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a 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)4
Frequency (Period)Spectrum
0.008 (125)340995.386619
0.016 (62.5)19701.319709
0.024 (41.6667)118530.796733
0.032 (31.25)515584.550202
0.04 (25)486923.983627
0.048 (20.8333)1434556.257448
0.056 (17.8571)3429352.126765
0.064 (15.625)1420727.293318
0.072 (13.8889)7753682.623041
0.08 (12.5)746096.813868
0.088 (11.3636)5566408.796581
0.096 (10.4167)7933689.681762
0.104 (9.6154)481370.66553
0.112 (8.9286)32185868.827448
0.12 (8.3333)30868555.973658
0.128 (7.8125)1525619.332842
0.136 (7.3529)8731625.420504
0.144 (6.9444)4928019.107043
0.152 (6.5789)1346450.36129
0.16 (6.25)378223.510427
0.168 (5.9524)15502030.051067
0.176 (5.6818)18853238.146605
0.184 (5.4348)25747571.164332
0.192 (5.2083)3522828.759912
0.2 (5)3090237.77087
0.208 (4.8077)737941.060194
0.216 (4.6296)698470.556604
0.224 (4.4643)1525861.945594
0.232 (4.3103)1065497.022589
0.24 (4.1667)54277.346773
0.248 (4.0323)259314.373579
0.256 (3.9062)442617.900477
0.264 (3.7879)1217705.873636
0.272 (3.6765)2915582.392706
0.28 (3.5714)7565216.161852
0.288 (3.4722)15823922.396332
0.296 (3.3784)4180881.85739
0.304 (3.2895)4371947.511434
0.312 (3.2051)26835536.047507
0.32 (3.125)27143221.28053
0.328 (3.0488)5352092.698978
0.336 (2.9762)7330418.207583
0.344 (2.907)71288586.037884
0.352 (2.8409)70147255.849079
0.36 (2.7778)3001125.377982
0.368 (2.7174)48850132.624942
0.376 (2.6596)6282504.025083
0.384 (2.6042)14986863.977456
0.392 (2.551)21553079.423849
0.4 (2.5)11539346.412009
0.408 (2.451)8460921.220569
0.416 (2.4038)16317233.069525
0.424 (2.3585)2233766.4022
0.432 (2.3148)15340326.83863
0.44 (2.2727)7275947.557474
0.448 (2.2321)9098960.579035
0.456 (2.193)33150979.198697
0.464 (2.1552)10574304.442842
0.472 (2.1186)4024644.198492
0.48 (2.0833)3624777.358468
0.488 (2.0492)3584890.309543
0.496 (2.0161)3228840.129677



Parameters (Session):
par1 = 1111110.9520012DefaultDefaultDefaultDefaultDefaultDefaultDefaultDefault1DefaultDefault363611111111 ; par2 = 2222220518111111111.01.011101111011 ; par3 = TRUETRUETRUEFALSETRUETRUE0BFGS010100111111100001001 ; par4 = P1 P5 Q1 Q3 P95 P990000011011101114124114 ; par5 = 12121212121212121212121212 ; par6 = White NoiseWhite NoiseWhite NoiseWhite NoiseWhite NoiseWhite NoiseWhite NoiseWhite NoiseWhite NoiseWhite NoiseWhite NoiseWhite NoiseWhite Noise ; par7 = 0.950.950.950.950.950.950.950.950.950.95 ;
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 4 ;
R code (references can be found in the software module):
par4 <- '1'
par3 <- '0'
par2 <- '1'
par1 <- '1'
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')