Free Statistics

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 computationWed, 16 Dec 2009 08:46:25 -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/2009/Dec/16/t1260978436lsjon87mym0bltj.htm/, Retrieved Tue, 30 Apr 2024 12:14:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68436, Retrieved Tue, 30 Apr 2024 12:14:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Spectral Analysis] [Identifying Integ...] [2009-11-22 12:38:17] [b98453cac15ba1066b407e146608df68]
-    D        [Spectral Analysis] [WS8-Spectrum] [2009-11-26 16:48:11] [a94022e7c2399c0f4d62eea578db3411]
- R  D          [Spectral Analysis] [Spectrum Melk] [2009-12-15 20:51:32] [a94022e7c2399c0f4d62eea578db3411]
-   PD              [Spectral Analysis] [Spectrum Melk - d=1] [2009-12-16 15:46:25] [30970b478e356ce7f8c2e9fca280b230] [Current]
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Dataseries X:
0.71
0.7
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.7
0.7
0.68
0.68
0.69
0.69
0.7
0.7
0.7
0.7
0.7
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.76
0.77
0.78
0.85
0.89
0.9
0.91
0.91
0.91
0.9
0.89
0.88
0.87
0.86
0.87
0.87
0.87
0.85
0.84
0.84
0.84
0.84
0.84
0.82
0.87
0.92




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68436&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68436&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68436&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'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
0.0167 (60)0.000493
0.0333 (30)0.001274
0.05 (20)0.000667
0.0667 (15)0.000616
0.0833 (12)0.000454
0.1 (10)0.000294
0.1167 (8.5714)0.000117
0.1333 (7.5)1.2e-05
0.15 (6.6667)8e-06
0.1667 (6)0.000143
0.1833 (5.4545)7.4e-05
0.2 (5)0.000213
0.2167 (4.6154)2.8e-05
0.2333 (4.2857)9.6e-05
0.25 (4)0.000287
0.2667 (3.75)0.000194
0.2833 (3.5294)0.000169
0.3 (3.3333)0.000189
0.3167 (3.1579)0.000249
0.3333 (3)0.00015
0.35 (2.8571)0.000124
0.3667 (2.7273)0.000335
0.3833 (2.6087)6.2e-05
0.4 (2.5)8.9e-05
0.4167 (2.4)0.000154
0.4333 (2.3077)4.8e-05
0.45 (2.2222)2e-06
0.4667 (2.1429)2.1e-05
0.4833 (2.069)5.9e-05
0.5 (2)5.1e-05

\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
0.0167 (60) & 0.000493 \tabularnewline
0.0333 (30) & 0.001274 \tabularnewline
0.05 (20) & 0.000667 \tabularnewline
0.0667 (15) & 0.000616 \tabularnewline
0.0833 (12) & 0.000454 \tabularnewline
0.1 (10) & 0.000294 \tabularnewline
0.1167 (8.5714) & 0.000117 \tabularnewline
0.1333 (7.5) & 1.2e-05 \tabularnewline
0.15 (6.6667) & 8e-06 \tabularnewline
0.1667 (6) & 0.000143 \tabularnewline
0.1833 (5.4545) & 7.4e-05 \tabularnewline
0.2 (5) & 0.000213 \tabularnewline
0.2167 (4.6154) & 2.8e-05 \tabularnewline
0.2333 (4.2857) & 9.6e-05 \tabularnewline
0.25 (4) & 0.000287 \tabularnewline
0.2667 (3.75) & 0.000194 \tabularnewline
0.2833 (3.5294) & 0.000169 \tabularnewline
0.3 (3.3333) & 0.000189 \tabularnewline
0.3167 (3.1579) & 0.000249 \tabularnewline
0.3333 (3) & 0.00015 \tabularnewline
0.35 (2.8571) & 0.000124 \tabularnewline
0.3667 (2.7273) & 0.000335 \tabularnewline
0.3833 (2.6087) & 6.2e-05 \tabularnewline
0.4 (2.5) & 8.9e-05 \tabularnewline
0.4167 (2.4) & 0.000154 \tabularnewline
0.4333 (2.3077) & 4.8e-05 \tabularnewline
0.45 (2.2222) & 2e-06 \tabularnewline
0.4667 (2.1429) & 2.1e-05 \tabularnewline
0.4833 (2.069) & 5.9e-05 \tabularnewline
0.5 (2) & 5.1e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68436&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]0.0167 (60)[/C][C]0.000493[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]0.001274[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]0.000667[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]0.000616[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]0.000454[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]0.000294[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]0.000117[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]1.2e-05[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]8e-06[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.000143[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]7.4e-05[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]0.000213[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]2.8e-05[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]9.6e-05[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.000287[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]0.000194[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]0.000169[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]0.000189[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]0.000249[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.00015[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]0.000124[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]0.000335[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]6.2e-05[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]8.9e-05[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.000154[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]4.8e-05[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]2e-06[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]2.1e-05[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]5.9e-05[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]5.1e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68436&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68436&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
0.0167 (60)0.000493
0.0333 (30)0.001274
0.05 (20)0.000667
0.0667 (15)0.000616
0.0833 (12)0.000454
0.1 (10)0.000294
0.1167 (8.5714)0.000117
0.1333 (7.5)1.2e-05
0.15 (6.6667)8e-06
0.1667 (6)0.000143
0.1833 (5.4545)7.4e-05
0.2 (5)0.000213
0.2167 (4.6154)2.8e-05
0.2333 (4.2857)9.6e-05
0.25 (4)0.000287
0.2667 (3.75)0.000194
0.2833 (3.5294)0.000169
0.3 (3.3333)0.000189
0.3167 (3.1579)0.000249
0.3333 (3)0.00015
0.35 (2.8571)0.000124
0.3667 (2.7273)0.000335
0.3833 (2.6087)6.2e-05
0.4 (2.5)8.9e-05
0.4167 (2.4)0.000154
0.4333 (2.3077)4.8e-05
0.45 (2.2222)2e-06
0.4667 (2.1429)2.1e-05
0.4833 (2.069)5.9e-05
0.5 (2)5.1e-05



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')