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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 computationThu, 26 Nov 2009 08:41:51 -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/Nov/26/t1259250190ojqsq2tpfc21rcx.htm/, Retrieved Mon, 29 Apr 2024 03:35:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60112, Retrieved Mon, 29 Apr 2024 03:35:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Spectrum (d=0 en ...] [2009-11-26 15:41:51] [208e60166df5802f3c494097313a670f] [Current]
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Dataseries X:
1169
2154
2249
2687
4359
5382
4459
6398
4596
3024
1887
2070
1351
2218
2461
3028
4784
4975
4607
6249
4809
3157
1910
2228
1594
2467
2222
3607
4685
4962
5770
5480
5000
3228
1993
2288
1580
2111
2192
3601
4665
4876
5813
5589
5331
3075
2002
2306
1507
1992
2487
3490
4647
5594
5611
5788
6204
3013
1931
2549




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=60112&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=60112&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60112&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)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0208 (48)82961.295699
0.0417 (24)69840.415001
0.0625 (16)43723.670756
0.0833 (12)32068.172007
0.1042 (9.6)40345.267387
0.125 (8)16100.860777
0.1458 (6.8571)76226.017953
0.1667 (6)9822.683229
0.1875 (5.3333)34274.195838
0.2083 (4.8)84901.579758
0.2292 (4.3636)56509.926785
0.25 (4)12847.24159
0.2708 (3.6923)87379.947541
0.2917 (3.4286)98546.514219
0.3125 (3.2)232145.488665
0.3333 (3)159525.209294
0.3542 (2.8235)527552.835949
0.375 (2.6667)114550.258079
0.3958 (2.5263)189396.095593
0.4167 (2.4)207684.026529
0.4375 (2.2857)208672.086073
0.4583 (2.1818)52417.962187
0.4792 (2.087)26417.483814
0.5 (2)214945.246286

\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) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0208 (48) & 82961.295699 \tabularnewline
0.0417 (24) & 69840.415001 \tabularnewline
0.0625 (16) & 43723.670756 \tabularnewline
0.0833 (12) & 32068.172007 \tabularnewline
0.1042 (9.6) & 40345.267387 \tabularnewline
0.125 (8) & 16100.860777 \tabularnewline
0.1458 (6.8571) & 76226.017953 \tabularnewline
0.1667 (6) & 9822.683229 \tabularnewline
0.1875 (5.3333) & 34274.195838 \tabularnewline
0.2083 (4.8) & 84901.579758 \tabularnewline
0.2292 (4.3636) & 56509.926785 \tabularnewline
0.25 (4) & 12847.24159 \tabularnewline
0.2708 (3.6923) & 87379.947541 \tabularnewline
0.2917 (3.4286) & 98546.514219 \tabularnewline
0.3125 (3.2) & 232145.488665 \tabularnewline
0.3333 (3) & 159525.209294 \tabularnewline
0.3542 (2.8235) & 527552.835949 \tabularnewline
0.375 (2.6667) & 114550.258079 \tabularnewline
0.3958 (2.5263) & 189396.095593 \tabularnewline
0.4167 (2.4) & 207684.026529 \tabularnewline
0.4375 (2.2857) & 208672.086073 \tabularnewline
0.4583 (2.1818) & 52417.962187 \tabularnewline
0.4792 (2.087) & 26417.483814 \tabularnewline
0.5 (2) & 214945.246286 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60112&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]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0208 (48)[/C][C]82961.295699[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]69840.415001[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]43723.670756[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]32068.172007[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]40345.267387[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]16100.860777[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]76226.017953[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]9822.683229[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]34274.195838[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]84901.579758[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]56509.926785[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]12847.24159[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]87379.947541[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]98546.514219[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]232145.488665[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]159525.209294[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]527552.835949[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]114550.258079[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]189396.095593[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]207684.026529[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]208672.086073[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]52417.962187[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]26417.483814[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]214945.246286[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60112&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60112&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)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0208 (48)82961.295699
0.0417 (24)69840.415001
0.0625 (16)43723.670756
0.0833 (12)32068.172007
0.1042 (9.6)40345.267387
0.125 (8)16100.860777
0.1458 (6.8571)76226.017953
0.1667 (6)9822.683229
0.1875 (5.3333)34274.195838
0.2083 (4.8)84901.579758
0.2292 (4.3636)56509.926785
0.25 (4)12847.24159
0.2708 (3.6923)87379.947541
0.2917 (3.4286)98546.514219
0.3125 (3.2)232145.488665
0.3333 (3)159525.209294
0.3542 (2.8235)527552.835949
0.375 (2.6667)114550.258079
0.3958 (2.5263)189396.095593
0.4167 (2.4)207684.026529
0.4375 (2.2857)208672.086073
0.4583 (2.1818)52417.962187
0.4792 (2.087)26417.483814
0.5 (2)214945.246286



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