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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, 21 Dec 2010 19:18:37 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/21/t12929596812b3rch0fddjq2s4.htm/, Retrieved Sun, 19 May 2024 19:42:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113876, Retrieved Sun, 19 May 2024 19:42:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Spectral Analysis...] [2010-12-21 19:18:37] [194b0dcd1d575718d8c1582a0112d12c] [Current]
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Dataseries X:
4940
3924
3927
4535
3446
3016
4934
2743
3242
6662
3262
3381
7144
3803
3684
6759
3386
3066
5538
2940
3215
7023
3443
3712
7475
4137
3491
7019
3908
3402
5604
3222
3636
7123
4368
4092
8377
4595
4188
6988
4218
3655
6211
3622
3841
8510
4627
4582
8967
4928
4809
7917
4790
4065
7290
4670
3561
5149
6880
6981
8454
4960
4670
7638
4560
3980
6825
3939
4079
8117
5121
5167
7960
4670
4397
7191
4293
3747
6425
3709
3840
7642
4821
4865




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113876&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]2 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=113876&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113876&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 time2 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
0.0139 (72)1376421.593916
0.0278 (36)400321.308975
0.0417 (24)133439.199571
0.0556 (18)166910.042023
0.0694 (14.4)62084.645511
0.0833 (12)44911.790629
0.0972 (10.2857)141536.880311
0.1111 (9)640639.458002
0.125 (8)1416827.298023
0.1389 (7.2)756581.155873
0.1528 (6.5455)359122.656305
0.1667 (6)39016.754293
0.1806 (5.5385)560523.233145
0.1944 (5.1429)1641252.026968
0.2083 (4.8)2308227.021431
0.2222 (4.5)2875545.270235
0.2361 (4.2353)367808.658443
0.25 (4)71054.757639
0.2639 (3.7895)630161.946104
0.2778 (3.6)2370520.521484
0.2917 (3.4286)3433825.502706
0.3056 (3.2727)1050392.769544
0.3194 (3.1304)724769.762337
0.3333 (3)22402.473297
0.3472 (2.88)176015.669198
0.3611 (2.7692)485833.534267
0.375 (2.6667)1742032.206943
0.3889 (2.5714)1049652.561116
0.4028 (2.4828)101638.786086
0.4167 (2.4)19494.28348
0.4306 (2.3226)7254.252034
0.4444 (2.25)571088.803109
0.4583 (2.1818)896154.921531
0.4722 (2.1176)31894.023082
0.4861 (2.0571)255506.292709
0.5 (2)11101.31515

\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
0.0139 (72) & 1376421.593916 \tabularnewline
0.0278 (36) & 400321.308975 \tabularnewline
0.0417 (24) & 133439.199571 \tabularnewline
0.0556 (18) & 166910.042023 \tabularnewline
0.0694 (14.4) & 62084.645511 \tabularnewline
0.0833 (12) & 44911.790629 \tabularnewline
0.0972 (10.2857) & 141536.880311 \tabularnewline
0.1111 (9) & 640639.458002 \tabularnewline
0.125 (8) & 1416827.298023 \tabularnewline
0.1389 (7.2) & 756581.155873 \tabularnewline
0.1528 (6.5455) & 359122.656305 \tabularnewline
0.1667 (6) & 39016.754293 \tabularnewline
0.1806 (5.5385) & 560523.233145 \tabularnewline
0.1944 (5.1429) & 1641252.026968 \tabularnewline
0.2083 (4.8) & 2308227.021431 \tabularnewline
0.2222 (4.5) & 2875545.270235 \tabularnewline
0.2361 (4.2353) & 367808.658443 \tabularnewline
0.25 (4) & 71054.757639 \tabularnewline
0.2639 (3.7895) & 630161.946104 \tabularnewline
0.2778 (3.6) & 2370520.521484 \tabularnewline
0.2917 (3.4286) & 3433825.502706 \tabularnewline
0.3056 (3.2727) & 1050392.769544 \tabularnewline
0.3194 (3.1304) & 724769.762337 \tabularnewline
0.3333 (3) & 22402.473297 \tabularnewline
0.3472 (2.88) & 176015.669198 \tabularnewline
0.3611 (2.7692) & 485833.534267 \tabularnewline
0.375 (2.6667) & 1742032.206943 \tabularnewline
0.3889 (2.5714) & 1049652.561116 \tabularnewline
0.4028 (2.4828) & 101638.786086 \tabularnewline
0.4167 (2.4) & 19494.28348 \tabularnewline
0.4306 (2.3226) & 7254.252034 \tabularnewline
0.4444 (2.25) & 571088.803109 \tabularnewline
0.4583 (2.1818) & 896154.921531 \tabularnewline
0.4722 (2.1176) & 31894.023082 \tabularnewline
0.4861 (2.0571) & 255506.292709 \tabularnewline
0.5 (2) & 11101.31515 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113876&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]0.0139 (72)[/C][C]1376421.593916[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]400321.308975[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]133439.199571[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]166910.042023[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]62084.645511[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]44911.790629[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]141536.880311[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]640639.458002[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]1416827.298023[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]756581.155873[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]359122.656305[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]39016.754293[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]560523.233145[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]1641252.026968[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]2308227.021431[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]2875545.270235[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]367808.658443[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]71054.757639[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]630161.946104[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]2370520.521484[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]3433825.502706[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]1050392.769544[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]724769.762337[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]22402.473297[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]176015.669198[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]485833.534267[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]1742032.206943[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]1049652.561116[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]101638.786086[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]19494.28348[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]7254.252034[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]571088.803109[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]896154.921531[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]31894.023082[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]255506.292709[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]11101.31515[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113876&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113876&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
0.0139 (72)1376421.593916
0.0278 (36)400321.308975
0.0417 (24)133439.199571
0.0556 (18)166910.042023
0.0694 (14.4)62084.645511
0.0833 (12)44911.790629
0.0972 (10.2857)141536.880311
0.1111 (9)640639.458002
0.125 (8)1416827.298023
0.1389 (7.2)756581.155873
0.1528 (6.5455)359122.656305
0.1667 (6)39016.754293
0.1806 (5.5385)560523.233145
0.1944 (5.1429)1641252.026968
0.2083 (4.8)2308227.021431
0.2222 (4.5)2875545.270235
0.2361 (4.2353)367808.658443
0.25 (4)71054.757639
0.2639 (3.7895)630161.946104
0.2778 (3.6)2370520.521484
0.2917 (3.4286)3433825.502706
0.3056 (3.2727)1050392.769544
0.3194 (3.1304)724769.762337
0.3333 (3)22402.473297
0.3472 (2.88)176015.669198
0.3611 (2.7692)485833.534267
0.375 (2.6667)1742032.206943
0.3889 (2.5714)1049652.561116
0.4028 (2.4828)101638.786086
0.4167 (2.4)19494.28348
0.4306 (2.3226)7254.252034
0.4444 (2.25)571088.803109
0.4583 (2.1818)896154.921531
0.4722 (2.1176)31894.023082
0.4861 (2.0571)255506.292709
0.5 (2)11101.31515



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')