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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, 16 Dec 2008 04:26:49 -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/16/t1229426871y8q4c1kzhlfg0b3.htm/, Retrieved Wed, 11 Feb 2026 00:47:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33913, Retrieved Wed, 11 Feb 2026 00:47:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact450

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [paper var red mat 1] [2007-12-01 10:13:36] [22f18fc6a98517db16300404be421f9a]
-    D  [Variance Reduction Matrix] [Variance Reductio...] [2008-12-12 12:57:02] [29747f79f5beb5b2516e1271770ecb47]
- RMPD      [Spectral Analysis] [Spectrum - Totale...] [2008-12-16 11:26:49] [732c025e7dfb439ac3d0c7b7e70fa7a1] [Current]
-   P         [Spectral Analysis] [Spectrum - Totale...] [2008-12-16 11:40:09] [7506b5e9e41ec66c6657f4234f97306e]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15044.5
14944.2
16754.8
14254
15454.9
15644.8
14568.3
12520.2
14803
15873.2
14755.3
12875.1
14291.1
14205.3
15859.4
15258.9
15498.6
15106.5
15023.6
12083
15761.3
16943
15070.3
13659.6
14768.9
14725.1
15998.1
15370.6
14956.9
15469.7
15101.8
11703.7
16283.6
16726.5
14968.9
14861
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872
17420.4
16704.4
15991.2
16583.6
19123.5
17838.7
17209.4
18586.5
16258.1
15141.6
19202.1
17746.5
19090.1
18040.3
17515.5
17751.8
21072.4
17170
19439.5
19795.4
17574.9
16165.4
19464.6
19932.1
19961.2
17343.4
18924.2
18574.1
21350.6
18594.6
19823.1
20844.4
19640.2
17735.4
19813.6
22160
20664.3
17877.4
21211.2
21423.1
21688.7
23243.2
21490.2
22925.8
23184.8
18562.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33913&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33913&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33913&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0.4
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0125 (80)19.346644
0.025 (40)26.791625
0.0375 (26.6667)6.306297
0.05 (20)16.684155
0.0625 (16)0.791966
0.075 (13.3333)2.873873
0.0875 (11.4286)1.044111
0.1 (10)0.470523
0.1125 (8.8889)3.150418
0.125 (8)1.761074
0.1375 (7.2727)1.22474
0.15 (6.6667)1.187214
0.1625 (6.1538)0.693341
0.175 (5.7143)0.224426
0.1875 (5.3333)1.050523
0.2 (5)0.822664
0.2125 (4.7059)1.319193
0.225 (4.4444)11.096417
0.2375 (4.2105)2.578566
0.25 (4)0.113329
0.2625 (3.8095)2.947256
0.275 (3.6364)1.30248
0.2875 (3.4783)1.196582
0.3 (3.3333)7.810208
0.3125 (3.2)6.007427
0.325 (3.0769)6.012736
0.3375 (2.963)8.312873
0.35 (2.8571)40.369479
0.3625 (2.7586)3.254633
0.375 (2.6667)2.344622
0.3875 (2.5806)12.025668
0.4 (2.5)1.115404
0.4125 (2.4242)0.690546
0.425 (2.3529)3.091607
0.4375 (2.2857)5.494154
0.45 (2.2222)1.01927
0.4625 (2.1622)0.196932
0.475 (2.1053)13.341648
0.4875 (2.0513)4.578685
0.5 (2)0.760332

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 0.4 \tabularnewline
Degree of non-seasonal differencing (d) & 0 \tabularnewline
Degree of seasonal differencing (D) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0125 (80) & 19.346644 \tabularnewline
0.025 (40) & 26.791625 \tabularnewline
0.0375 (26.6667) & 6.306297 \tabularnewline
0.05 (20) & 16.684155 \tabularnewline
0.0625 (16) & 0.791966 \tabularnewline
0.075 (13.3333) & 2.873873 \tabularnewline
0.0875 (11.4286) & 1.044111 \tabularnewline
0.1 (10) & 0.470523 \tabularnewline
0.1125 (8.8889) & 3.150418 \tabularnewline
0.125 (8) & 1.761074 \tabularnewline
0.1375 (7.2727) & 1.22474 \tabularnewline
0.15 (6.6667) & 1.187214 \tabularnewline
0.1625 (6.1538) & 0.693341 \tabularnewline
0.175 (5.7143) & 0.224426 \tabularnewline
0.1875 (5.3333) & 1.050523 \tabularnewline
0.2 (5) & 0.822664 \tabularnewline
0.2125 (4.7059) & 1.319193 \tabularnewline
0.225 (4.4444) & 11.096417 \tabularnewline
0.2375 (4.2105) & 2.578566 \tabularnewline
0.25 (4) & 0.113329 \tabularnewline
0.2625 (3.8095) & 2.947256 \tabularnewline
0.275 (3.6364) & 1.30248 \tabularnewline
0.2875 (3.4783) & 1.196582 \tabularnewline
0.3 (3.3333) & 7.810208 \tabularnewline
0.3125 (3.2) & 6.007427 \tabularnewline
0.325 (3.0769) & 6.012736 \tabularnewline
0.3375 (2.963) & 8.312873 \tabularnewline
0.35 (2.8571) & 40.369479 \tabularnewline
0.3625 (2.7586) & 3.254633 \tabularnewline
0.375 (2.6667) & 2.344622 \tabularnewline
0.3875 (2.5806) & 12.025668 \tabularnewline
0.4 (2.5) & 1.115404 \tabularnewline
0.4125 (2.4242) & 0.690546 \tabularnewline
0.425 (2.3529) & 3.091607 \tabularnewline
0.4375 (2.2857) & 5.494154 \tabularnewline
0.45 (2.2222) & 1.01927 \tabularnewline
0.4625 (2.1622) & 0.196932 \tabularnewline
0.475 (2.1053) & 13.341648 \tabularnewline
0.4875 (2.0513) & 4.578685 \tabularnewline
0.5 (2) & 0.760332 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33913&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]0.4[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]0[/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]0.0125 (80)[/C][C]19.346644[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]26.791625[/C][/ROW]
[ROW][C]0.0375 (26.6667)[/C][C]6.306297[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]16.684155[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]0.791966[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]2.873873[/C][/ROW]
[ROW][C]0.0875 (11.4286)[/C][C]1.044111[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]0.470523[/C][/ROW]
[ROW][C]0.1125 (8.8889)[/C][C]3.150418[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]1.761074[/C][/ROW]
[ROW][C]0.1375 (7.2727)[/C][C]1.22474[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]1.187214[/C][/ROW]
[ROW][C]0.1625 (6.1538)[/C][C]0.693341[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]0.224426[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]1.050523[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]0.822664[/C][/ROW]
[ROW][C]0.2125 (4.7059)[/C][C]1.319193[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]11.096417[/C][/ROW]
[ROW][C]0.2375 (4.2105)[/C][C]2.578566[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.113329[/C][/ROW]
[ROW][C]0.2625 (3.8095)[/C][C]2.947256[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]1.30248[/C][/ROW]
[ROW][C]0.2875 (3.4783)[/C][C]1.196582[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]7.810208[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]6.007427[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]6.012736[/C][/ROW]
[ROW][C]0.3375 (2.963)[/C][C]8.312873[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]40.369479[/C][/ROW]
[ROW][C]0.3625 (2.7586)[/C][C]3.254633[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]2.344622[/C][/ROW]
[ROW][C]0.3875 (2.5806)[/C][C]12.025668[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]1.115404[/C][/ROW]
[ROW][C]0.4125 (2.4242)[/C][C]0.690546[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]3.091607[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]5.494154[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]1.01927[/C][/ROW]
[ROW][C]0.4625 (2.1622)[/C][C]0.196932[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]13.341648[/C][/ROW]
[ROW][C]0.4875 (2.0513)[/C][C]4.578685[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.760332[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33913&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33913&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)0.4
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0125 (80)19.346644
0.025 (40)26.791625
0.0375 (26.6667)6.306297
0.05 (20)16.684155
0.0625 (16)0.791966
0.075 (13.3333)2.873873
0.0875 (11.4286)1.044111
0.1 (10)0.470523
0.1125 (8.8889)3.150418
0.125 (8)1.761074
0.1375 (7.2727)1.22474
0.15 (6.6667)1.187214
0.1625 (6.1538)0.693341
0.175 (5.7143)0.224426
0.1875 (5.3333)1.050523
0.2 (5)0.822664
0.2125 (4.7059)1.319193
0.225 (4.4444)11.096417
0.2375 (4.2105)2.578566
0.25 (4)0.113329
0.2625 (3.8095)2.947256
0.275 (3.6364)1.30248
0.2875 (3.4783)1.196582
0.3 (3.3333)7.810208
0.3125 (3.2)6.007427
0.325 (3.0769)6.012736
0.3375 (2.963)8.312873
0.35 (2.8571)40.369479
0.3625 (2.7586)3.254633
0.375 (2.6667)2.344622
0.3875 (2.5806)12.025668
0.4 (2.5)1.115404
0.4125 (2.4242)0.690546
0.425 (2.3529)3.091607
0.4375 (2.2857)5.494154
0.45 (2.2222)1.01927
0.4625 (2.1622)0.196932
0.475 (2.1053)13.341648
0.4875 (2.0513)4.578685
0.5 (2)0.760332


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.4 ; par2 = 0 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 0.4 ; par2 = 0 ; 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')