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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationWed, 14 Dec 2016 17:22:53 +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/14/t1481732598vm1g728e5zghsfo.htm/, Retrieved Fri, 01 Nov 2024 03:31:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=299599, Retrieved Fri, 01 Nov 2024 03:31:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [spectral analyse d=1] [2016-12-14 16:22:53] [d900f94b3f64e304b47af1531cb36401] [Current]
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Dataseries X:
4956
5014.8
5053
5092.2
5126
5160
5188.8
5219.4
5255.6
5297
5349.8
5392.4
5429.8
5483.2
5540
5594.4
5650.2
5694
5741.8
5773.6
5816.8
5869.2
5927
5989.2
6038.8
6080.6
6111
6122.6
6154.4
6207
6231.2
6268.4
6309
6342.6
6376
6423.2
6465.2
6499.8
6552.2
6613.6
6658.6
6699.4
6763.4
6814.8
6869.4
6907.6
6936
6994.6
7043.2
7056.2
7068
7106.6
7141.2
7168.2
7184.6
7229.2
7273.4
7320.6
7350
7362.6
7411.2
7465.4
7510.2
7558.8
7605.4
7642.8
7681.6
7705
7729.8
7768.8
7810.4
7840.8
7855.4
7863.6
7904.4
7922.8
7929.4
7968
8018.6
8032.8
8052.6
8075.8
8106.4
8134.6
8140.6
8140
8152.2
8167.2
8166.6
8185
8203.8
8233.6
8251.6
8252.2
8235.6
8251.4
8293.8
8329.8
8342.4
8351.4
8347.8
8349.4
8337
8326
8313
8327.4
8346.4
8360.8
8374.6
8406
8406.2
8381.4
8379.8
8367.4
8372
8393.4




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=299599&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=299599&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299599&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)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0083 (120)1003.598517
0.0167 (60)167.997638
0.025 (40)29.837851
0.0333 (30)73.718817
0.0417 (24)948.116284
0.05 (20)584.108274
0.0583 (17.1429)360.388988
0.0667 (15)160.606938
0.075 (13.3333)227.717589
0.0833 (12)136.772685
0.0917 (10.9091)307.795967
0.1 (10)7.732441
0.1083 (9.2308)565.654369
0.1167 (8.5714)588.370265
0.125 (8)85.249338
0.1333 (7.5)481.47806
0.1417 (7.0588)130.304002
0.15 (6.6667)571.774403
0.1583 (6.3158)25.479806
0.1667 (6)48.793315
0.175 (5.7143)120.61991
0.1833 (5.4545)58.765573
0.1917 (5.2174)53.915508
0.2 (5)121.273439
0.2083 (4.8)362.36932
0.2167 (4.6154)222.348336
0.225 (4.4444)1322.207997
0.2333 (4.2857)631.55166
0.2417 (4.1379)35.479235
0.25 (4)4.360936
0.2583 (3.871)233.214152
0.2667 (3.75)226.492245
0.275 (3.6364)3.423663
0.2833 (3.5294)215.153772
0.2917 (3.4286)16.9863
0.3 (3.3333)27.118439
0.3083 (3.2432)322.938168
0.3167 (3.1579)260.979917
0.325 (3.0769)149.32905
0.3333 (3)106.296603
0.3417 (2.9268)68.578366
0.35 (2.8571)95.959149
0.3583 (2.7907)35.338464
0.3667 (2.7273)70.01698
0.375 (2.6667)191.739127
0.3833 (2.6087)78.474827
0.3917 (2.5532)3.041853
0.4 (2.5)4.216315
0.4083 (2.449)22.713144
0.4167 (2.4)1.565791
0.425 (2.3529)7.799338
0.4333 (2.3077)2.381496
0.4417 (2.2642)38.971935
0.45 (2.2222)56.880532
0.4583 (2.1818)35.045846
0.4667 (2.1429)34.120964
0.475 (2.1053)38.897881
0.4833 (2.069)102.654634
0.4917 (2.0339)18.66675
0.5 (2)14.134223

\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) & 0 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0083 (120) & 1003.598517 \tabularnewline
0.0167 (60) & 167.997638 \tabularnewline
0.025 (40) & 29.837851 \tabularnewline
0.0333 (30) & 73.718817 \tabularnewline
0.0417 (24) & 948.116284 \tabularnewline
0.05 (20) & 584.108274 \tabularnewline
0.0583 (17.1429) & 360.388988 \tabularnewline
0.0667 (15) & 160.606938 \tabularnewline
0.075 (13.3333) & 227.717589 \tabularnewline
0.0833 (12) & 136.772685 \tabularnewline
0.0917 (10.9091) & 307.795967 \tabularnewline
0.1 (10) & 7.732441 \tabularnewline
0.1083 (9.2308) & 565.654369 \tabularnewline
0.1167 (8.5714) & 588.370265 \tabularnewline
0.125 (8) & 85.249338 \tabularnewline
0.1333 (7.5) & 481.47806 \tabularnewline
0.1417 (7.0588) & 130.304002 \tabularnewline
0.15 (6.6667) & 571.774403 \tabularnewline
0.1583 (6.3158) & 25.479806 \tabularnewline
0.1667 (6) & 48.793315 \tabularnewline
0.175 (5.7143) & 120.61991 \tabularnewline
0.1833 (5.4545) & 58.765573 \tabularnewline
0.1917 (5.2174) & 53.915508 \tabularnewline
0.2 (5) & 121.273439 \tabularnewline
0.2083 (4.8) & 362.36932 \tabularnewline
0.2167 (4.6154) & 222.348336 \tabularnewline
0.225 (4.4444) & 1322.207997 \tabularnewline
0.2333 (4.2857) & 631.55166 \tabularnewline
0.2417 (4.1379) & 35.479235 \tabularnewline
0.25 (4) & 4.360936 \tabularnewline
0.2583 (3.871) & 233.214152 \tabularnewline
0.2667 (3.75) & 226.492245 \tabularnewline
0.275 (3.6364) & 3.423663 \tabularnewline
0.2833 (3.5294) & 215.153772 \tabularnewline
0.2917 (3.4286) & 16.9863 \tabularnewline
0.3 (3.3333) & 27.118439 \tabularnewline
0.3083 (3.2432) & 322.938168 \tabularnewline
0.3167 (3.1579) & 260.979917 \tabularnewline
0.325 (3.0769) & 149.32905 \tabularnewline
0.3333 (3) & 106.296603 \tabularnewline
0.3417 (2.9268) & 68.578366 \tabularnewline
0.35 (2.8571) & 95.959149 \tabularnewline
0.3583 (2.7907) & 35.338464 \tabularnewline
0.3667 (2.7273) & 70.01698 \tabularnewline
0.375 (2.6667) & 191.739127 \tabularnewline
0.3833 (2.6087) & 78.474827 \tabularnewline
0.3917 (2.5532) & 3.041853 \tabularnewline
0.4 (2.5) & 4.216315 \tabularnewline
0.4083 (2.449) & 22.713144 \tabularnewline
0.4167 (2.4) & 1.565791 \tabularnewline
0.425 (2.3529) & 7.799338 \tabularnewline
0.4333 (2.3077) & 2.381496 \tabularnewline
0.4417 (2.2642) & 38.971935 \tabularnewline
0.45 (2.2222) & 56.880532 \tabularnewline
0.4583 (2.1818) & 35.045846 \tabularnewline
0.4667 (2.1429) & 34.120964 \tabularnewline
0.475 (2.1053) & 38.897881 \tabularnewline
0.4833 (2.069) & 102.654634 \tabularnewline
0.4917 (2.0339) & 18.66675 \tabularnewline
0.5 (2) & 14.134223 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299599&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]0[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]1003.598517[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]167.997638[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]29.837851[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]73.718817[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]948.116284[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]584.108274[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]360.388988[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]160.606938[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]227.717589[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]136.772685[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]307.795967[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]7.732441[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]565.654369[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]588.370265[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]85.249338[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]481.47806[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]130.304002[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]571.774403[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]25.479806[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]48.793315[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]120.61991[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]58.765573[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]53.915508[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]121.273439[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]362.36932[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]222.348336[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]1322.207997[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]631.55166[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]35.479235[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]4.360936[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]233.214152[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]226.492245[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]3.423663[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]215.153772[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]16.9863[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]27.118439[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]322.938168[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]260.979917[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]149.32905[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]106.296603[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]68.578366[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]95.959149[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]35.338464[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]70.01698[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]191.739127[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]78.474827[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]3.041853[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]4.216315[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]22.713144[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]1.565791[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]7.799338[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]2.381496[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]38.971935[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]56.880532[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]35.045846[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]34.120964[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]38.897881[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]102.654634[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]18.66675[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]14.134223[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299599&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299599&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)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0083 (120)1003.598517
0.0167 (60)167.997638
0.025 (40)29.837851
0.0333 (30)73.718817
0.0417 (24)948.116284
0.05 (20)584.108274
0.0583 (17.1429)360.388988
0.0667 (15)160.606938
0.075 (13.3333)227.717589
0.0833 (12)136.772685
0.0917 (10.9091)307.795967
0.1 (10)7.732441
0.1083 (9.2308)565.654369
0.1167 (8.5714)588.370265
0.125 (8)85.249338
0.1333 (7.5)481.47806
0.1417 (7.0588)130.304002
0.15 (6.6667)571.774403
0.1583 (6.3158)25.479806
0.1667 (6)48.793315
0.175 (5.7143)120.61991
0.1833 (5.4545)58.765573
0.1917 (5.2174)53.915508
0.2 (5)121.273439
0.2083 (4.8)362.36932
0.2167 (4.6154)222.348336
0.225 (4.4444)1322.207997
0.2333 (4.2857)631.55166
0.2417 (4.1379)35.479235
0.25 (4)4.360936
0.2583 (3.871)233.214152
0.2667 (3.75)226.492245
0.275 (3.6364)3.423663
0.2833 (3.5294)215.153772
0.2917 (3.4286)16.9863
0.3 (3.3333)27.118439
0.3083 (3.2432)322.938168
0.3167 (3.1579)260.979917
0.325 (3.0769)149.32905
0.3333 (3)106.296603
0.3417 (2.9268)68.578366
0.35 (2.8571)95.959149
0.3583 (2.7907)35.338464
0.3667 (2.7273)70.01698
0.375 (2.6667)191.739127
0.3833 (2.6087)78.474827
0.3917 (2.5532)3.041853
0.4 (2.5)4.216315
0.4083 (2.449)22.713144
0.4167 (2.4)1.565791
0.425 (2.3529)7.799338
0.4333 (2.3077)2.381496
0.4417 (2.2642)38.971935
0.45 (2.2222)56.880532
0.4583 (2.1818)35.045846
0.4667 (2.1429)34.120964
0.475 (2.1053)38.897881
0.4833 (2.069)102.654634
0.4917 (2.0339)18.66675
0.5 (2)14.134223



Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- '0'
par2 <- '2'
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')