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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 computationTue, 20 Dec 2016 11:54:56 +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/20/t1482231316rwh58cozuyk4rm0.htm/, Retrieved Sat, 27 Apr 2024 14:23:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301600, Retrieved Sat, 27 Apr 2024 14:23:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [] [2016-12-20 10:54:56] [b2e25925e4919b0d6985405fcb461c0d] [Current]
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Dataseries X:
4400
4400
5400
7300
7200
7100
7000
10000
10100
9400
8500
8300
9200
10400
11700
12200
10400
10400
9800
9200




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=301600&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=301600&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301600&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)0
Degree of seasonal differencing (D)0
Seasonal Period (s)1
Frequency (Period)Spectrum
0.05 (20)2620065.084185
0.1 (10)1956979.39485
0.15 (6.6667)3356189.078557
0.2 (5)2202522.054341
0.25 (4)1380782.006046
0.3 (3.3333)191221.424375
0.35 (2.8571)28648.381278
0.4 (2.5)493799.800367
0.45 (2.2222)18111.520083
0.5 (2)460216.296211

\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) & 1 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.05 (20) & 2620065.084185 \tabularnewline
0.1 (10) & 1956979.39485 \tabularnewline
0.15 (6.6667) & 3356189.078557 \tabularnewline
0.2 (5) & 2202522.054341 \tabularnewline
0.25 (4) & 1380782.006046 \tabularnewline
0.3 (3.3333) & 191221.424375 \tabularnewline
0.35 (2.8571) & 28648.381278 \tabularnewline
0.4 (2.5) & 493799.800367 \tabularnewline
0.45 (2.2222) & 18111.520083 \tabularnewline
0.5 (2) & 460216.296211 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301600&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]1[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]2620065.084185[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]1956979.39485[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]3356189.078557[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]2202522.054341[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]1380782.006046[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]191221.424375[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]28648.381278[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]493799.800367[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]18111.520083[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]460216.296211[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301600&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301600&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)1
Frequency (Period)Spectrum
0.05 (20)2620065.084185
0.1 (10)1956979.39485
0.15 (6.6667)3356189.078557
0.2 (5)2202522.054341
0.25 (4)1380782.006046
0.3 (3.3333)191221.424375
0.35 (2.8571)28648.381278
0.4 (2.5)493799.800367
0.45 (2.2222)18111.520083
0.5 (2)460216.296211



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 1 ;
R code (references can be found in the software module):
par4 <- '1'
par3 <- '0'
par2 <- '0'
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')