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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 computationWed, 30 Nov 2016 11:59:36 +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/Nov/30/t1480503648bkgguj1yyxffrh3.htm/, Retrieved Sun, 19 May 2024 02:16:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297337, Retrieved Sun, 19 May 2024 02:16:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD    [Spectral Analysis] [Spectral analysis...] [2016-11-30 10:59:36] [fd005a509166a1985dac46f39e8d81c5] [Current]
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Dataseries X:
6908
6694
6564
6800
6820
6752
6632
6756
6898
6844
6750
6892
7104
7022
6858
7018
7218
7134
7006
7160
7374
7276
7128
7272
7462
7366
7218
7366
7546
7464
7332
7502
7736
7628
7494
7668
7888
7774
7644
7826
8056
7990
7814
7978
8238
8138
8000
8176
8412
8332
8194
8354
8576
8500
8376
8538




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=297337&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=297337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297337&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)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0222 (45)684.935203
0.0444 (22.5)1961.157363
0.0667 (15)782.59054
0.0889 (11.25)623.364853
0.1111 (9)380.056407
0.1333 (7.5)1509.227077
0.1556 (6.4286)4.24896
0.1778 (5.625)184.346222
0.2 (5)2184.403459
0.2222 (4.5)1582.215943
0.2444 (4.0909)4061.288141
0.2667 (3.75)2304.120679
0.2889 (3.4615)3284.074452
0.3111 (3.2143)3243.594656
0.3333 (3)2344.419066
0.3556 (2.8125)263.551444
0.3778 (2.6471)186.267467
0.4 (2.5)1732.066649
0.4222 (2.3684)1011.484825
0.4444 (2.25)2473.088432
0.4667 (2.1429)1104.7995
0.4889 (2.0455)1655.751687

\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) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0222 (45) & 684.935203 \tabularnewline
0.0444 (22.5) & 1961.157363 \tabularnewline
0.0667 (15) & 782.59054 \tabularnewline
0.0889 (11.25) & 623.364853 \tabularnewline
0.1111 (9) & 380.056407 \tabularnewline
0.1333 (7.5) & 1509.227077 \tabularnewline
0.1556 (6.4286) & 4.24896 \tabularnewline
0.1778 (5.625) & 184.346222 \tabularnewline
0.2 (5) & 2184.403459 \tabularnewline
0.2222 (4.5) & 1582.215943 \tabularnewline
0.2444 (4.0909) & 4061.288141 \tabularnewline
0.2667 (3.75) & 2304.120679 \tabularnewline
0.2889 (3.4615) & 3284.074452 \tabularnewline
0.3111 (3.2143) & 3243.594656 \tabularnewline
0.3333 (3) & 2344.419066 \tabularnewline
0.3556 (2.8125) & 263.551444 \tabularnewline
0.3778 (2.6471) & 186.267467 \tabularnewline
0.4 (2.5) & 1732.066649 \tabularnewline
0.4222 (2.3684) & 1011.484825 \tabularnewline
0.4444 (2.25) & 2473.088432 \tabularnewline
0.4667 (2.1429) & 1104.7995 \tabularnewline
0.4889 (2.0455) & 1655.751687 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297337&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]1[/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]684.935203[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]1961.157363[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]782.59054[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]623.364853[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]380.056407[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]1509.227077[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]4.24896[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]184.346222[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]2184.403459[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]1582.215943[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]4061.288141[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]2304.120679[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]3284.074452[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]3243.594656[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]2344.419066[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]263.551444[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]186.267467[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]1732.066649[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]1011.484825[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]2473.088432[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]1104.7995[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]1655.751687[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297337&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)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0222 (45)684.935203
0.0444 (22.5)1961.157363
0.0667 (15)782.59054
0.0889 (11.25)623.364853
0.1111 (9)380.056407
0.1333 (7.5)1509.227077
0.1556 (6.4286)4.24896
0.1778 (5.625)184.346222
0.2 (5)2184.403459
0.2222 (4.5)1582.215943
0.2444 (4.0909)4061.288141
0.2667 (3.75)2304.120679
0.2889 (3.4615)3284.074452
0.3111 (3.2143)3243.594656
0.3333 (3)2344.419066
0.3556 (2.8125)263.551444
0.3778 (2.6471)186.267467
0.4 (2.5)1732.066649
0.4222 (2.3684)1011.484825
0.4444 (2.25)2473.088432
0.4667 (2.1429)1104.7995
0.4889 (2.0455)1655.751687



Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '1'
par3 <- '1'
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')