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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, 16 Dec 2016 08:59:14 +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/16/t1481875176q5u0cakifzebd8q.htm/, Retrieved Fri, 01 Nov 2024 03:48:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300082, Retrieved Fri, 01 Nov 2024 03:48:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Spectrum n1058] [2016-12-16 07:59:14] [afe7f6443461a2cd6ee0b843643e84a9] [Current]
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Dataseries X:
3690
3878
3834
3780
3690
3202
3736
3480
3552
3372
3334
3502
3468
3480
3642
3600
3594
3834
3954
4006
4102
4236
4086
4350
4224
4576
4678
4624
4404
4190
4414
4414
3998
3554
3974
3820
4102
3926
4056
4072
4246
4232
4244
3944




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=300082&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=300082&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300082&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)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0222 (45)14642.121637
0.0444 (22.5)77937.921446
0.0667 (15)20389.196587
0.0889 (11.25)10554.448252
0.1111 (9)11566.927261
0.1333 (7.5)138.573293
0.1556 (6.4286)7772.040423
0.1778 (5.625)77438.17492
0.2 (5)57037.443927
0.2222 (4.5)74375.178076
0.2444 (4.0909)83797.686859
0.2667 (3.75)11655.596482
0.2889 (3.4615)60941.593135
0.3111 (3.2143)8463.697689
0.3333 (3)4418.574926
0.3556 (2.8125)115729.1534
0.3778 (2.6471)15489.844708
0.4 (2.5)89604.297526
0.4222 (2.3684)60949.109898
0.4444 (2.25)9085.528286
0.4667 (2.1429)322929.100528
0.4889 (2.0455)10816.019582

\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
0.0222 (45) & 14642.121637 \tabularnewline
0.0444 (22.5) & 77937.921446 \tabularnewline
0.0667 (15) & 20389.196587 \tabularnewline
0.0889 (11.25) & 10554.448252 \tabularnewline
0.1111 (9) & 11566.927261 \tabularnewline
0.1333 (7.5) & 138.573293 \tabularnewline
0.1556 (6.4286) & 7772.040423 \tabularnewline
0.1778 (5.625) & 77438.17492 \tabularnewline
0.2 (5) & 57037.443927 \tabularnewline
0.2222 (4.5) & 74375.178076 \tabularnewline
0.2444 (4.0909) & 83797.686859 \tabularnewline
0.2667 (3.75) & 11655.596482 \tabularnewline
0.2889 (3.4615) & 60941.593135 \tabularnewline
0.3111 (3.2143) & 8463.697689 \tabularnewline
0.3333 (3) & 4418.574926 \tabularnewline
0.3556 (2.8125) & 115729.1534 \tabularnewline
0.3778 (2.6471) & 15489.844708 \tabularnewline
0.4 (2.5) & 89604.297526 \tabularnewline
0.4222 (2.3684) & 60949.109898 \tabularnewline
0.4444 (2.25) & 9085.528286 \tabularnewline
0.4667 (2.1429) & 322929.100528 \tabularnewline
0.4889 (2.0455) & 10816.019582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300082&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]0.0222 (45)[/C][C]14642.121637[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]77937.921446[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]20389.196587[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]10554.448252[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]11566.927261[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]138.573293[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]7772.040423[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]77438.17492[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]57037.443927[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]74375.178076[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]83797.686859[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]11655.596482[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]60941.593135[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]8463.697689[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]4418.574926[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]115729.1534[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]15489.844708[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]89604.297526[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]60949.109898[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]9085.528286[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]322929.100528[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]10816.019582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300082&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300082&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
0.0222 (45)14642.121637
0.0444 (22.5)77937.921446
0.0667 (15)20389.196587
0.0889 (11.25)10554.448252
0.1111 (9)11566.927261
0.1333 (7.5)138.573293
0.1556 (6.4286)7772.040423
0.1778 (5.625)77438.17492
0.2 (5)57037.443927
0.2222 (4.5)74375.178076
0.2444 (4.0909)83797.686859
0.2667 (3.75)11655.596482
0.2889 (3.4615)60941.593135
0.3111 (3.2143)8463.697689
0.3333 (3)4418.574926
0.3556 (2.8125)115729.1534
0.3778 (2.6471)15489.844708
0.4 (2.5)89604.297526
0.4222 (2.3684)60949.109898
0.4444 (2.25)9085.528286
0.4667 (2.1429)322929.100528
0.4889 (2.0455)10816.019582



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):
par4 <- '12'
par3 <- '0'
par2 <- '1'
par1 <- '1'
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')