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 computationMon, 19 Dec 2016 22:23:15 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/19/t1482182610vd24ppuempwto3q.htm/, Retrieved Tue, 21 May 2024 00:06:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301522, Retrieved Tue, 21 May 2024 00:06:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [] [2016-12-19 21:23:15] [2e11ca31a00cf8de75c33c1af2d59434] [Current]
Feedback Forum

Post a new message
Dataseries X:
2298.3
2424.67
2584.65
2639.42
2452.02
2537.49
2726.36
2843.85
2615.11
2778.08
2918.75
3023.41
2733.07
2933.31
3089.19
3256.6
2968.74
3101.7
3277.21
3420.1
3097.55
3286.21
3491.96
3608.53
3259.04
3492.27
3665.64
3808.02
3397.47
3644.83
3812.8
3958.78
3602.73
3845.49
4022.27
4195.29
3867.28
4142.62
4217.79
4487.61
4089.69
4431.36
4629.82
4832.81




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301522&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301522&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301522&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)12
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)1
Frequency (Period)Spectrum
0.0222 (45)2.06253418436033e+84
0.0444 (22.5)1.25909360372391e+83
0.0667 (15)5.97132174011304e+81
0.0889 (11.25)1.11297521038012e+82
0.1111 (9)4.03768811836885e+82
0.1333 (7.5)6.94139642315078e+82
0.1556 (6.4286)1.20535372807061e+83
0.1778 (5.625)2.31268644300585e+83
0.2 (5)4.00570419614377e+83
0.2222 (4.5)1.00577446639913e+84
0.2444 (4.0909)2.56934197860757e+84
0.2667 (3.75)2.00503580559296e+84
0.2889 (3.4615)8.82151628239884e+83
0.3111 (3.2143)6.48697848934514e+83
0.3333 (3)5.75227587086617e+83
0.3556 (2.8125)5.85808990937257e+83
0.3778 (2.6471)6.6852038263841e+83
0.4 (2.5)8.9340177137215e+83
0.4222 (2.3684)1.17977147058511e+84
0.4444 (2.25)1.47769258838055e+84
0.4667 (2.1429)2.29652454937381e+84
0.4889 (2.0455)4.30656857686861e+84

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 12 \tabularnewline
Degree of non-seasonal differencing (d) & 1 \tabularnewline
Degree of seasonal differencing (D) & 0 \tabularnewline
Seasonal Period (s) & 1 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0222 (45) & 2.06253418436033e+84 \tabularnewline
0.0444 (22.5) & 1.25909360372391e+83 \tabularnewline
0.0667 (15) & 5.97132174011304e+81 \tabularnewline
0.0889 (11.25) & 1.11297521038012e+82 \tabularnewline
0.1111 (9) & 4.03768811836885e+82 \tabularnewline
0.1333 (7.5) & 6.94139642315078e+82 \tabularnewline
0.1556 (6.4286) & 1.20535372807061e+83 \tabularnewline
0.1778 (5.625) & 2.31268644300585e+83 \tabularnewline
0.2 (5) & 4.00570419614377e+83 \tabularnewline
0.2222 (4.5) & 1.00577446639913e+84 \tabularnewline
0.2444 (4.0909) & 2.56934197860757e+84 \tabularnewline
0.2667 (3.75) & 2.00503580559296e+84 \tabularnewline
0.2889 (3.4615) & 8.82151628239884e+83 \tabularnewline
0.3111 (3.2143) & 6.48697848934514e+83 \tabularnewline
0.3333 (3) & 5.75227587086617e+83 \tabularnewline
0.3556 (2.8125) & 5.85808990937257e+83 \tabularnewline
0.3778 (2.6471) & 6.6852038263841e+83 \tabularnewline
0.4 (2.5) & 8.9340177137215e+83 \tabularnewline
0.4222 (2.3684) & 1.17977147058511e+84 \tabularnewline
0.4444 (2.25) & 1.47769258838055e+84 \tabularnewline
0.4667 (2.1429) & 2.29652454937381e+84 \tabularnewline
0.4889 (2.0455) & 4.30656857686861e+84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301522&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]12[/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]1[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]2.06253418436033e+84[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]1.25909360372391e+83[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]5.97132174011304e+81[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]1.11297521038012e+82[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]4.03768811836885e+82[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]6.94139642315078e+82[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]1.20535372807061e+83[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]2.31268644300585e+83[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]4.00570419614377e+83[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]1.00577446639913e+84[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]2.56934197860757e+84[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]2.00503580559296e+84[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]8.82151628239884e+83[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]6.48697848934514e+83[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]5.75227587086617e+83[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]5.85808990937257e+83[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]6.6852038263841e+83[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]8.9340177137215e+83[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]1.17977147058511e+84[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]1.47769258838055e+84[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]2.29652454937381e+84[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]4.30656857686861e+84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301522&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301522&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)12
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)1
Frequency (Period)Spectrum
0.0222 (45)2.06253418436033e+84
0.0444 (22.5)1.25909360372391e+83
0.0667 (15)5.97132174011304e+81
0.0889 (11.25)1.11297521038012e+82
0.1111 (9)4.03768811836885e+82
0.1333 (7.5)6.94139642315078e+82
0.1556 (6.4286)1.20535372807061e+83
0.1778 (5.625)2.31268644300585e+83
0.2 (5)4.00570419614377e+83
0.2222 (4.5)1.00577446639913e+84
0.2444 (4.0909)2.56934197860757e+84
0.2667 (3.75)2.00503580559296e+84
0.2889 (3.4615)8.82151628239884e+83
0.3111 (3.2143)6.48697848934514e+83
0.3333 (3)5.75227587086617e+83
0.3556 (2.8125)5.85808990937257e+83
0.3778 (2.6471)6.6852038263841e+83
0.4 (2.5)8.9340177137215e+83
0.4222 (2.3684)1.17977147058511e+84
0.4444 (2.25)1.47769258838055e+84
0.4667 (2.1429)2.29652454937381e+84
0.4889 (2.0455)4.30656857686861e+84



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