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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 computationSun, 07 Dec 2008 17:57:45 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/08/t1228697924uuerintlv6ih9tf.htm/, Retrieved Thu, 16 May 2024 07:09:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30350, Retrieved Thu, 16 May 2024 07:09:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact207
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Paper: cumulative...] [2008-12-08 00:57:45] [0831954c833179c36e9320daee0825b5] [Current]
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Dataseries X:
15107
15024
12083
15761
16943
15070
13660
14769
14725
15998
15371
14957
15470
15102
11704
16284
16727
14969
14861
14583
15306
17904
16379
15420
17871
15913
13867
17823
17872
17422
16705
15991
16584
19124
17839
17209
18587
16258
15142
19202
17747
19090
18040
17516
17752
21073
17170
19440
19795
17575
16165
19465
19932
19961
17343
18924
18574
21351
18595
19823
20844
19640
17735
19814
22239
20682
17819
21872
22117
21866




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30350&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30350&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30350&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0139 (72)11541.769528
0.0278 (36)849986.12345
0.0417 (24)348033.736162
0.0556 (18)570215.801061
0.0694 (14.4)143131.354153
0.0833 (12)1001333.708528
0.0972 (10.2857)292378.614934
0.1111 (9)42646.222024
0.125 (8)287140.814303
0.1389 (7.2)130701.288177
0.1528 (6.5455)853906.627974
0.1667 (6)13575141.494306
0.1806 (5.5385)56582.56422
0.1944 (5.1429)34358.541924
0.2083 (4.8)6708.108102
0.2222 (4.5)801056.654861
0.2361 (4.2353)40056.045341
0.25 (4)15779163.032588
0.2639 (3.7895)358599.137562
0.2778 (3.6)504692.371105
0.2917 (3.4286)37622.357911
0.3056 (3.2727)1023307.657413
0.3194 (3.1304)740636.221175
0.3333 (3)9651773.991024
0.3472 (2.88)5889553.256124
0.3611 (2.7692)22714.204502
0.375 (2.6667)385657.667706
0.3889 (2.5714)213071.78446
0.4028 (2.4828)255820.908644
0.4167 (2.4)173553.053536
0.4306 (2.3226)1132958.481251
0.4444 (2.25)26943.62398
0.4583 (2.1818)41114.368569
0.4722 (2.1176)810759.082904
0.4861 (2.0571)812617.011281
0.5 (2)7558144.770726

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 1 \tabularnewline
Degree of non-seasonal differencing (d) & 0 \tabularnewline
Degree of seasonal differencing (D) & 0 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0139 (72) & 11541.769528 \tabularnewline
0.0278 (36) & 849986.12345 \tabularnewline
0.0417 (24) & 348033.736162 \tabularnewline
0.0556 (18) & 570215.801061 \tabularnewline
0.0694 (14.4) & 143131.354153 \tabularnewline
0.0833 (12) & 1001333.708528 \tabularnewline
0.0972 (10.2857) & 292378.614934 \tabularnewline
0.1111 (9) & 42646.222024 \tabularnewline
0.125 (8) & 287140.814303 \tabularnewline
0.1389 (7.2) & 130701.288177 \tabularnewline
0.1528 (6.5455) & 853906.627974 \tabularnewline
0.1667 (6) & 13575141.494306 \tabularnewline
0.1806 (5.5385) & 56582.56422 \tabularnewline
0.1944 (5.1429) & 34358.541924 \tabularnewline
0.2083 (4.8) & 6708.108102 \tabularnewline
0.2222 (4.5) & 801056.654861 \tabularnewline
0.2361 (4.2353) & 40056.045341 \tabularnewline
0.25 (4) & 15779163.032588 \tabularnewline
0.2639 (3.7895) & 358599.137562 \tabularnewline
0.2778 (3.6) & 504692.371105 \tabularnewline
0.2917 (3.4286) & 37622.357911 \tabularnewline
0.3056 (3.2727) & 1023307.657413 \tabularnewline
0.3194 (3.1304) & 740636.221175 \tabularnewline
0.3333 (3) & 9651773.991024 \tabularnewline
0.3472 (2.88) & 5889553.256124 \tabularnewline
0.3611 (2.7692) & 22714.204502 \tabularnewline
0.375 (2.6667) & 385657.667706 \tabularnewline
0.3889 (2.5714) & 213071.78446 \tabularnewline
0.4028 (2.4828) & 255820.908644 \tabularnewline
0.4167 (2.4) & 173553.053536 \tabularnewline
0.4306 (2.3226) & 1132958.481251 \tabularnewline
0.4444 (2.25) & 26943.62398 \tabularnewline
0.4583 (2.1818) & 41114.368569 \tabularnewline
0.4722 (2.1176) & 810759.082904 \tabularnewline
0.4861 (2.0571) & 812617.011281 \tabularnewline
0.5 (2) & 7558144.770726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30350&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]0[/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]0.0139 (72)[/C][C]11541.769528[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]849986.12345[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]348033.736162[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]570215.801061[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]143131.354153[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]1001333.708528[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]292378.614934[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]42646.222024[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]287140.814303[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]130701.288177[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]853906.627974[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]13575141.494306[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]56582.56422[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]34358.541924[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]6708.108102[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]801056.654861[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]40056.045341[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]15779163.032588[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]358599.137562[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]504692.371105[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]37622.357911[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]1023307.657413[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]740636.221175[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]9651773.991024[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]5889553.256124[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]22714.204502[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]385657.667706[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]213071.78446[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]255820.908644[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]173553.053536[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]1132958.481251[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]26943.62398[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]41114.368569[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]810759.082904[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]812617.011281[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]7558144.770726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30350&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30350&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)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0139 (72)11541.769528
0.0278 (36)849986.12345
0.0417 (24)348033.736162
0.0556 (18)570215.801061
0.0694 (14.4)143131.354153
0.0833 (12)1001333.708528
0.0972 (10.2857)292378.614934
0.1111 (9)42646.222024
0.125 (8)287140.814303
0.1389 (7.2)130701.288177
0.1528 (6.5455)853906.627974
0.1667 (6)13575141.494306
0.1806 (5.5385)56582.56422
0.1944 (5.1429)34358.541924
0.2083 (4.8)6708.108102
0.2222 (4.5)801056.654861
0.2361 (4.2353)40056.045341
0.25 (4)15779163.032588
0.2639 (3.7895)358599.137562
0.2778 (3.6)504692.371105
0.2917 (3.4286)37622.357911
0.3056 (3.2727)1023307.657413
0.3194 (3.1304)740636.221175
0.3333 (3)9651773.991024
0.3472 (2.88)5889553.256124
0.3611 (2.7692)22714.204502
0.375 (2.6667)385657.667706
0.3889 (2.5714)213071.78446
0.4028 (2.4828)255820.908644
0.4167 (2.4)173553.053536
0.4306 (2.3226)1132958.481251
0.4444 (2.25)26943.62398
0.4583 (2.1818)41114.368569
0.4722 (2.1176)810759.082904
0.4861 (2.0571)812617.011281
0.5 (2)7558144.770726



Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = 0 ; par3 = 0 ; 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')