Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationWed, 28 Nov 2007 12:08:27 -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/2007/Nov/28/t1196276304w8pfp3nku77ci8l.htm/, Retrieved Thu, 02 May 2024 13:28:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7228, Retrieved Thu, 02 May 2024 13:28:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Spectral analysis...] [2007-11-28 19:08:27] [bad81931077d8a4f1668ce1551154583] [Current]
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Dataseries X:
4.68
4.68
4.67
4.58
4.48
4.46
4.46
4.46
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.44
4.44
4.44
4.44
4.44
4.43
4.38
4.23
4.2
4.2
4.2
4.2
4.2
4.19
4.16
4.06
4
3.99
3.95
3.81
3.8
3.8
3.8
3.8
3.79
3.79
3.78
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.68
3.63
3.61
3.61
3.61
3.6
3.58
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.51
3.47
3.43
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42
3.42




Summary of compuational 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 compuational 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=7228&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7228&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7228&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 compuational 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)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0125 (80)0.001158
0.025 (40)0.002676
0.0375 (26.6667)0.001311
0.05 (20)2.3e-05
0.0625 (16)0.001416
0.075 (13.3333)0.000513
0.0875 (11.4286)0.003204
0.1 (10)0.002474
0.1125 (8.8889)0.003078
0.125 (8)7.2e-05
0.1375 (7.2727)0.000828
0.15 (6.6667)0.002287
0.1625 (6.1538)0.000633
0.175 (5.7143)0.001175
0.1875 (5.3333)0.000389
0.2 (5)0.00073
0.2125 (4.7059)2.6e-05
0.225 (4.4444)0.001299
0.2375 (4.2105)0.002285
0.25 (4)0.002325
0.2625 (3.8095)0.002721
0.275 (3.6364)0.000253
0.2875 (3.4783)3.9e-05
0.3 (3.3333)0.000121
0.3125 (3.2)0.000307
0.325 (3.0769)0.000308
0.3375 (2.963)0.001357
0.35 (2.8571)0.001535
0.3625 (2.7586)0.000308
0.375 (2.6667)6.8e-05
0.3875 (2.5806)0.000214
0.4 (2.5)0.000745
0.4125 (2.4242)0.000498
0.425 (2.3529)0.000127
0.4375 (2.2857)1.2e-05
0.45 (2.2222)9.3e-05
0.4625 (2.1622)9e-05
0.475 (2.1053)0.000477
0.4875 (2.0513)0.00088
0.5 (2)0.000418

\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
0.0125 (80) & 0.001158 \tabularnewline
0.025 (40) & 0.002676 \tabularnewline
0.0375 (26.6667) & 0.001311 \tabularnewline
0.05 (20) & 2.3e-05 \tabularnewline
0.0625 (16) & 0.001416 \tabularnewline
0.075 (13.3333) & 0.000513 \tabularnewline
0.0875 (11.4286) & 0.003204 \tabularnewline
0.1 (10) & 0.002474 \tabularnewline
0.1125 (8.8889) & 0.003078 \tabularnewline
0.125 (8) & 7.2e-05 \tabularnewline
0.1375 (7.2727) & 0.000828 \tabularnewline
0.15 (6.6667) & 0.002287 \tabularnewline
0.1625 (6.1538) & 0.000633 \tabularnewline
0.175 (5.7143) & 0.001175 \tabularnewline
0.1875 (5.3333) & 0.000389 \tabularnewline
0.2 (5) & 0.00073 \tabularnewline
0.2125 (4.7059) & 2.6e-05 \tabularnewline
0.225 (4.4444) & 0.001299 \tabularnewline
0.2375 (4.2105) & 0.002285 \tabularnewline
0.25 (4) & 0.002325 \tabularnewline
0.2625 (3.8095) & 0.002721 \tabularnewline
0.275 (3.6364) & 0.000253 \tabularnewline
0.2875 (3.4783) & 3.9e-05 \tabularnewline
0.3 (3.3333) & 0.000121 \tabularnewline
0.3125 (3.2) & 0.000307 \tabularnewline
0.325 (3.0769) & 0.000308 \tabularnewline
0.3375 (2.963) & 0.001357 \tabularnewline
0.35 (2.8571) & 0.001535 \tabularnewline
0.3625 (2.7586) & 0.000308 \tabularnewline
0.375 (2.6667) & 6.8e-05 \tabularnewline
0.3875 (2.5806) & 0.000214 \tabularnewline
0.4 (2.5) & 0.000745 \tabularnewline
0.4125 (2.4242) & 0.000498 \tabularnewline
0.425 (2.3529) & 0.000127 \tabularnewline
0.4375 (2.2857) & 1.2e-05 \tabularnewline
0.45 (2.2222) & 9.3e-05 \tabularnewline
0.4625 (2.1622) & 9e-05 \tabularnewline
0.475 (2.1053) & 0.000477 \tabularnewline
0.4875 (2.0513) & 0.00088 \tabularnewline
0.5 (2) & 0.000418 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7228&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]0.0125 (80)[/C][C]0.001158[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]0.002676[/C][/ROW]
[ROW][C]0.0375 (26.6667)[/C][C]0.001311[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]2.3e-05[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]0.001416[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]0.000513[/C][/ROW]
[ROW][C]0.0875 (11.4286)[/C][C]0.003204[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]0.002474[/C][/ROW]
[ROW][C]0.1125 (8.8889)[/C][C]0.003078[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]7.2e-05[/C][/ROW]
[ROW][C]0.1375 (7.2727)[/C][C]0.000828[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]0.002287[/C][/ROW]
[ROW][C]0.1625 (6.1538)[/C][C]0.000633[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]0.001175[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]0.000389[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]0.00073[/C][/ROW]
[ROW][C]0.2125 (4.7059)[/C][C]2.6e-05[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]0.001299[/C][/ROW]
[ROW][C]0.2375 (4.2105)[/C][C]0.002285[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.002325[/C][/ROW]
[ROW][C]0.2625 (3.8095)[/C][C]0.002721[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]0.000253[/C][/ROW]
[ROW][C]0.2875 (3.4783)[/C][C]3.9e-05[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]0.000121[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]0.000307[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]0.000308[/C][/ROW]
[ROW][C]0.3375 (2.963)[/C][C]0.001357[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]0.001535[/C][/ROW]
[ROW][C]0.3625 (2.7586)[/C][C]0.000308[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]6.8e-05[/C][/ROW]
[ROW][C]0.3875 (2.5806)[/C][C]0.000214[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]0.000745[/C][/ROW]
[ROW][C]0.4125 (2.4242)[/C][C]0.000498[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]0.000127[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]1.2e-05[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]9.3e-05[/C][/ROW]
[ROW][C]0.4625 (2.1622)[/C][C]9e-05[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]0.000477[/C][/ROW]
[ROW][C]0.4875 (2.0513)[/C][C]0.00088[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.000418[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7228&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7228&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
0.0125 (80)0.001158
0.025 (40)0.002676
0.0375 (26.6667)0.001311
0.05 (20)2.3e-05
0.0625 (16)0.001416
0.075 (13.3333)0.000513
0.0875 (11.4286)0.003204
0.1 (10)0.002474
0.1125 (8.8889)0.003078
0.125 (8)7.2e-05
0.1375 (7.2727)0.000828
0.15 (6.6667)0.002287
0.1625 (6.1538)0.000633
0.175 (5.7143)0.001175
0.1875 (5.3333)0.000389
0.2 (5)0.00073
0.2125 (4.7059)2.6e-05
0.225 (4.4444)0.001299
0.2375 (4.2105)0.002285
0.25 (4)0.002325
0.2625 (3.8095)0.002721
0.275 (3.6364)0.000253
0.2875 (3.4783)3.9e-05
0.3 (3.3333)0.000121
0.3125 (3.2)0.000307
0.325 (3.0769)0.000308
0.3375 (2.963)0.001357
0.35 (2.8571)0.001535
0.3625 (2.7586)0.000308
0.375 (2.6667)6.8e-05
0.3875 (2.5806)0.000214
0.4 (2.5)0.000745
0.4125 (2.4242)0.000498
0.425 (2.3529)0.000127
0.4375 (2.2857)1.2e-05
0.45 (2.2222)9.3e-05
0.4625 (2.1622)9e-05
0.475 (2.1053)0.000477
0.4875 (2.0513)0.00088
0.5 (2)0.000418



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):
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')