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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 computationFri, 05 Dec 2008 16:23:55 -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/06/t1228519515vb75872hew3umrf.htm/, Retrieved Thu, 31 Oct 2024 23:12:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29414, Retrieved Thu, 31 Oct 2024 23:12:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact298
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [Paper Hoofdstuk 4...] [2008-12-05 10:14:55] [6fea0e9a9b3b29a63badf2c274e82506]
- RMP   [(Partial) Autocorrelation Function] [Paper Hoofdstuk 4...] [2008-12-05 11:21:04] [6fea0e9a9b3b29a63badf2c274e82506]
- RMP       [Spectral Analysis] [Paper Hoofdstuk 4...] [2008-12-05 23:23:55] [286e96bd53289970f8e5f25a93fb50b3] [Current]
-   P         [Spectral Analysis] [Paper Hoofdstuk 4...] [2008-12-06 11:37:54] [6fea0e9a9b3b29a63badf2c274e82506]
-   P         [Spectral Analysis] [Paper Hoofdstuk 4...] [2008-12-06 11:44:44] [6fea0e9a9b3b29a63badf2c274e82506]
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Dataseries X:
493.000
481.000
462.000
457.000
442.000
439.000
488.000
521.000
501.000
485.000
464.000
460.000
467.000
460.000
448.000
443.000
436.000
431.000
484.000
510.000
513.000
503.000
471.000
471.000
476.000
475.000
470.000
461.000
455.000
456.000
517.000
525.000
523.000
519.000
509.000
512.000
519.000
517.000
510.000
509.000
501.000
507.000
569.000
580.000
578.000
565.000
547.000
555.000
562.000
561.000
555.000
544.000
537.000
543.000
594.000
611.000
613.000
611.000
594.000
595.000




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29414&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29414&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29414&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 time1 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)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0167 (60)3801.260036
0.0333 (30)571.420912
0.05 (20)438.104486
0.0667 (15)379.887831
0.0833 (12)8738.267325
0.1 (10)20.828128
0.1167 (8.5714)19.048407
0.1333 (7.5)55.084081
0.15 (6.6667)59.500801
0.1667 (6)5476.061185
0.1833 (5.4545)52.817172
0.2 (5)6.443254
0.2167 (4.6154)119.329617
0.2333 (4.2857)68.607799
0.25 (4)515.900398
0.2667 (3.75)2.288482
0.2833 (3.5294)1.042593
0.3 (3.3333)7.87565
0.3167 (3.1579)7.522073
0.3333 (3)465.450919
0.35 (2.8571)37.994632
0.3667 (2.7273)16.404447
0.3833 (2.6087)2.854205
0.4 (2.5)4.582111
0.4167 (2.4)211.925249
0.4333 (2.3077)28.494419
0.45 (2.2222)6.133067
0.4667 (2.1429)1.782717
0.4833 (2.069)11.568223
0.5 (2)48.852166

\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
0.0167 (60) & 3801.260036 \tabularnewline
0.0333 (30) & 571.420912 \tabularnewline
0.05 (20) & 438.104486 \tabularnewline
0.0667 (15) & 379.887831 \tabularnewline
0.0833 (12) & 8738.267325 \tabularnewline
0.1 (10) & 20.828128 \tabularnewline
0.1167 (8.5714) & 19.048407 \tabularnewline
0.1333 (7.5) & 55.084081 \tabularnewline
0.15 (6.6667) & 59.500801 \tabularnewline
0.1667 (6) & 5476.061185 \tabularnewline
0.1833 (5.4545) & 52.817172 \tabularnewline
0.2 (5) & 6.443254 \tabularnewline
0.2167 (4.6154) & 119.329617 \tabularnewline
0.2333 (4.2857) & 68.607799 \tabularnewline
0.25 (4) & 515.900398 \tabularnewline
0.2667 (3.75) & 2.288482 \tabularnewline
0.2833 (3.5294) & 1.042593 \tabularnewline
0.3 (3.3333) & 7.87565 \tabularnewline
0.3167 (3.1579) & 7.522073 \tabularnewline
0.3333 (3) & 465.450919 \tabularnewline
0.35 (2.8571) & 37.994632 \tabularnewline
0.3667 (2.7273) & 16.404447 \tabularnewline
0.3833 (2.6087) & 2.854205 \tabularnewline
0.4 (2.5) & 4.582111 \tabularnewline
0.4167 (2.4) & 211.925249 \tabularnewline
0.4333 (2.3077) & 28.494419 \tabularnewline
0.45 (2.2222) & 6.133067 \tabularnewline
0.4667 (2.1429) & 1.782717 \tabularnewline
0.4833 (2.069) & 11.568223 \tabularnewline
0.5 (2) & 48.852166 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29414&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]0.0167 (60)[/C][C]3801.260036[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]571.420912[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]438.104486[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]379.887831[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]8738.267325[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]20.828128[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]19.048407[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]55.084081[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]59.500801[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]5476.061185[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]52.817172[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]6.443254[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]119.329617[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]68.607799[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]515.900398[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]2.288482[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]1.042593[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]7.87565[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]7.522073[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]465.450919[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]37.994632[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]16.404447[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]2.854205[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]4.582111[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]211.925249[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]28.494419[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]6.133067[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]1.782717[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]11.568223[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]48.852166[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29414&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29414&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
0.0167 (60)3801.260036
0.0333 (30)571.420912
0.05 (20)438.104486
0.0667 (15)379.887831
0.0833 (12)8738.267325
0.1 (10)20.828128
0.1167 (8.5714)19.048407
0.1333 (7.5)55.084081
0.15 (6.6667)59.500801
0.1667 (6)5476.061185
0.1833 (5.4545)52.817172
0.2 (5)6.443254
0.2167 (4.6154)119.329617
0.2333 (4.2857)68.607799
0.25 (4)515.900398
0.2667 (3.75)2.288482
0.2833 (3.5294)1.042593
0.3 (3.3333)7.87565
0.3167 (3.1579)7.522073
0.3333 (3)465.450919
0.35 (2.8571)37.994632
0.3667 (2.7273)16.404447
0.3833 (2.6087)2.854205
0.4 (2.5)4.582111
0.4167 (2.4)211.925249
0.4333 (2.3077)28.494419
0.45 (2.2222)6.133067
0.4667 (2.1429)1.782717
0.4833 (2.069)11.568223
0.5 (2)48.852166



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')