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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, 21 Dec 2016 11:42:37 +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/21/t1482317006t5d1wkgf7i8yrcs.htm/, Retrieved Mon, 06 May 2024 21:12:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302133, Retrieved Mon, 06 May 2024 21:12:43 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [spectral analysis] [2016-12-21 10:42:37] [63af9ed1c5670c0e3049894fd77d93e0] [Current]
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Dataseries X:
5610
3530
2370
11610
4630
8760
4130
5400
5630
7050
5620
5510
4240
3620
4220
3480
3400
4830
3060
8030
8480
7270
10030
7810
6470
5150
4580
2640
2180
6250
4310
6160
8560
6250
8940
8040
6290
2630
4760
3820
2350
2420
4780
6120
4290
5540
6120
5110
4800
2670
5120
2370
3280
4090
2250
2520
3670
6440
5490
2000
2130
1210
6770
2380
2380
3760
3860
4590
4580
8030
5880
1770
5440
4090
3360
1240
1890
3390
2980
5030
3720
3530
1620
2290
2050
2070
2760
1500
1850
2760
3360
2120
3970
3760
3630
1850
3160
2700
1080
1150
1230
2180
2310
2940
4370
4750
7810
2880




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=302133&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=302133&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302133&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
0.0093 (108)3395521.387586
0.0185 (54)2278858.309195
0.0278 (36)7103941.359437
0.037 (27)369997.192304
0.0463 (21.6)5293781.237407
0.0556 (18)2945214.176853
0.0648 (15.4286)6815151.061855
0.0741 (13.5)7128276.896355
0.0833 (12)47356472.806075
0.0926 (10.8)5626989.399398
0.1019 (9.8182)2526917.928546
0.1111 (9)1145449.945728
0.1204 (8.3077)1030352.479471
0.1296 (7.7143)718935.799376
0.1389 (7.2)614199.839698
0.1481 (6.75)941001.217346
0.1574 (6.3529)133264.831395
0.1667 (6)1728054.076902
0.1759 (5.6842)2673802.720758
0.1852 (5.4)5211493.487427
0.1944 (5.1429)580792.120526
0.2037 (4.9091)2517059.796236
0.213 (4.6957)903298.194662
0.2222 (4.5)1157900.013446
0.2315 (4.32)517753.764561
0.2407 (4.1538)114724.351671
0.25 (4)2435757.368757
0.2593 (3.8571)7375722.97843
0.2685 (3.7241)2129579.108995
0.2778 (3.6)885346.545157
0.287 (3.4839)209233.183905
0.2963 (3.375)6160897.800417
0.3056 (3.2727)877448.47498
0.3148 (3.1765)842587.1894
0.3241 (3.0857)2158104.639975
0.3333 (3)1527354.40304
0.3426 (2.9189)936081.781656
0.3519 (2.8421)515537.802925
0.3611 (2.7692)662591.893321
0.3704 (2.7)524211.774263
0.3796 (2.6341)531695.983358
0.3889 (2.5714)673880.859202
0.3981 (2.5116)2338887.891807
0.4074 (2.4545)735322.806728
0.4167 (2.4)8167293.467576
0.4259 (2.3478)4916099.32189
0.4352 (2.2979)347355.801978
0.4444 (2.25)638624.579297
0.4537 (2.2041)18022.551431
0.463 (2.16)523169.646626
0.4722 (2.1176)1305671.424176
0.4815 (2.0769)573052.022637
0.4907 (2.0377)2297433.944677
0.5 (2)257154.968092

\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
0.0093 (108) & 3395521.387586 \tabularnewline
0.0185 (54) & 2278858.309195 \tabularnewline
0.0278 (36) & 7103941.359437 \tabularnewline
0.037 (27) & 369997.192304 \tabularnewline
0.0463 (21.6) & 5293781.237407 \tabularnewline
0.0556 (18) & 2945214.176853 \tabularnewline
0.0648 (15.4286) & 6815151.061855 \tabularnewline
0.0741 (13.5) & 7128276.896355 \tabularnewline
0.0833 (12) & 47356472.806075 \tabularnewline
0.0926 (10.8) & 5626989.399398 \tabularnewline
0.1019 (9.8182) & 2526917.928546 \tabularnewline
0.1111 (9) & 1145449.945728 \tabularnewline
0.1204 (8.3077) & 1030352.479471 \tabularnewline
0.1296 (7.7143) & 718935.799376 \tabularnewline
0.1389 (7.2) & 614199.839698 \tabularnewline
0.1481 (6.75) & 941001.217346 \tabularnewline
0.1574 (6.3529) & 133264.831395 \tabularnewline
0.1667 (6) & 1728054.076902 \tabularnewline
0.1759 (5.6842) & 2673802.720758 \tabularnewline
0.1852 (5.4) & 5211493.487427 \tabularnewline
0.1944 (5.1429) & 580792.120526 \tabularnewline
0.2037 (4.9091) & 2517059.796236 \tabularnewline
0.213 (4.6957) & 903298.194662 \tabularnewline
0.2222 (4.5) & 1157900.013446 \tabularnewline
0.2315 (4.32) & 517753.764561 \tabularnewline
0.2407 (4.1538) & 114724.351671 \tabularnewline
0.25 (4) & 2435757.368757 \tabularnewline
0.2593 (3.8571) & 7375722.97843 \tabularnewline
0.2685 (3.7241) & 2129579.108995 \tabularnewline
0.2778 (3.6) & 885346.545157 \tabularnewline
0.287 (3.4839) & 209233.183905 \tabularnewline
0.2963 (3.375) & 6160897.800417 \tabularnewline
0.3056 (3.2727) & 877448.47498 \tabularnewline
0.3148 (3.1765) & 842587.1894 \tabularnewline
0.3241 (3.0857) & 2158104.639975 \tabularnewline
0.3333 (3) & 1527354.40304 \tabularnewline
0.3426 (2.9189) & 936081.781656 \tabularnewline
0.3519 (2.8421) & 515537.802925 \tabularnewline
0.3611 (2.7692) & 662591.893321 \tabularnewline
0.3704 (2.7) & 524211.774263 \tabularnewline
0.3796 (2.6341) & 531695.983358 \tabularnewline
0.3889 (2.5714) & 673880.859202 \tabularnewline
0.3981 (2.5116) & 2338887.891807 \tabularnewline
0.4074 (2.4545) & 735322.806728 \tabularnewline
0.4167 (2.4) & 8167293.467576 \tabularnewline
0.4259 (2.3478) & 4916099.32189 \tabularnewline
0.4352 (2.2979) & 347355.801978 \tabularnewline
0.4444 (2.25) & 638624.579297 \tabularnewline
0.4537 (2.2041) & 18022.551431 \tabularnewline
0.463 (2.16) & 523169.646626 \tabularnewline
0.4722 (2.1176) & 1305671.424176 \tabularnewline
0.4815 (2.0769) & 573052.022637 \tabularnewline
0.4907 (2.0377) & 2297433.944677 \tabularnewline
0.5 (2) & 257154.968092 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302133&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]0.0093 (108)[/C][C]3395521.387586[/C][/ROW]
[ROW][C]0.0185 (54)[/C][C]2278858.309195[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]7103941.359437[/C][/ROW]
[ROW][C]0.037 (27)[/C][C]369997.192304[/C][/ROW]
[ROW][C]0.0463 (21.6)[/C][C]5293781.237407[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]2945214.176853[/C][/ROW]
[ROW][C]0.0648 (15.4286)[/C][C]6815151.061855[/C][/ROW]
[ROW][C]0.0741 (13.5)[/C][C]7128276.896355[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]47356472.806075[/C][/ROW]
[ROW][C]0.0926 (10.8)[/C][C]5626989.399398[/C][/ROW]
[ROW][C]0.1019 (9.8182)[/C][C]2526917.928546[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]1145449.945728[/C][/ROW]
[ROW][C]0.1204 (8.3077)[/C][C]1030352.479471[/C][/ROW]
[ROW][C]0.1296 (7.7143)[/C][C]718935.799376[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]614199.839698[/C][/ROW]
[ROW][C]0.1481 (6.75)[/C][C]941001.217346[/C][/ROW]
[ROW][C]0.1574 (6.3529)[/C][C]133264.831395[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]1728054.076902[/C][/ROW]
[ROW][C]0.1759 (5.6842)[/C][C]2673802.720758[/C][/ROW]
[ROW][C]0.1852 (5.4)[/C][C]5211493.487427[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]580792.120526[/C][/ROW]
[ROW][C]0.2037 (4.9091)[/C][C]2517059.796236[/C][/ROW]
[ROW][C]0.213 (4.6957)[/C][C]903298.194662[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]1157900.013446[/C][/ROW]
[ROW][C]0.2315 (4.32)[/C][C]517753.764561[/C][/ROW]
[ROW][C]0.2407 (4.1538)[/C][C]114724.351671[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]2435757.368757[/C][/ROW]
[ROW][C]0.2593 (3.8571)[/C][C]7375722.97843[/C][/ROW]
[ROW][C]0.2685 (3.7241)[/C][C]2129579.108995[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]885346.545157[/C][/ROW]
[ROW][C]0.287 (3.4839)[/C][C]209233.183905[/C][/ROW]
[ROW][C]0.2963 (3.375)[/C][C]6160897.800417[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]877448.47498[/C][/ROW]
[ROW][C]0.3148 (3.1765)[/C][C]842587.1894[/C][/ROW]
[ROW][C]0.3241 (3.0857)[/C][C]2158104.639975[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]1527354.40304[/C][/ROW]
[ROW][C]0.3426 (2.9189)[/C][C]936081.781656[/C][/ROW]
[ROW][C]0.3519 (2.8421)[/C][C]515537.802925[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]662591.893321[/C][/ROW]
[ROW][C]0.3704 (2.7)[/C][C]524211.774263[/C][/ROW]
[ROW][C]0.3796 (2.6341)[/C][C]531695.983358[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]673880.859202[/C][/ROW]
[ROW][C]0.3981 (2.5116)[/C][C]2338887.891807[/C][/ROW]
[ROW][C]0.4074 (2.4545)[/C][C]735322.806728[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]8167293.467576[/C][/ROW]
[ROW][C]0.4259 (2.3478)[/C][C]4916099.32189[/C][/ROW]
[ROW][C]0.4352 (2.2979)[/C][C]347355.801978[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]638624.579297[/C][/ROW]
[ROW][C]0.4537 (2.2041)[/C][C]18022.551431[/C][/ROW]
[ROW][C]0.463 (2.16)[/C][C]523169.646626[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]1305671.424176[/C][/ROW]
[ROW][C]0.4815 (2.0769)[/C][C]573052.022637[/C][/ROW]
[ROW][C]0.4907 (2.0377)[/C][C]2297433.944677[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]257154.968092[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302133&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302133&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
0.0093 (108)3395521.387586
0.0185 (54)2278858.309195
0.0278 (36)7103941.359437
0.037 (27)369997.192304
0.0463 (21.6)5293781.237407
0.0556 (18)2945214.176853
0.0648 (15.4286)6815151.061855
0.0741 (13.5)7128276.896355
0.0833 (12)47356472.806075
0.0926 (10.8)5626989.399398
0.1019 (9.8182)2526917.928546
0.1111 (9)1145449.945728
0.1204 (8.3077)1030352.479471
0.1296 (7.7143)718935.799376
0.1389 (7.2)614199.839698
0.1481 (6.75)941001.217346
0.1574 (6.3529)133264.831395
0.1667 (6)1728054.076902
0.1759 (5.6842)2673802.720758
0.1852 (5.4)5211493.487427
0.1944 (5.1429)580792.120526
0.2037 (4.9091)2517059.796236
0.213 (4.6957)903298.194662
0.2222 (4.5)1157900.013446
0.2315 (4.32)517753.764561
0.2407 (4.1538)114724.351671
0.25 (4)2435757.368757
0.2593 (3.8571)7375722.97843
0.2685 (3.7241)2129579.108995
0.2778 (3.6)885346.545157
0.287 (3.4839)209233.183905
0.2963 (3.375)6160897.800417
0.3056 (3.2727)877448.47498
0.3148 (3.1765)842587.1894
0.3241 (3.0857)2158104.639975
0.3333 (3)1527354.40304
0.3426 (2.9189)936081.781656
0.3519 (2.8421)515537.802925
0.3611 (2.7692)662591.893321
0.3704 (2.7)524211.774263
0.3796 (2.6341)531695.983358
0.3889 (2.5714)673880.859202
0.3981 (2.5116)2338887.891807
0.4074 (2.4545)735322.806728
0.4167 (2.4)8167293.467576
0.4259 (2.3478)4916099.32189
0.4352 (2.2979)347355.801978
0.4444 (2.25)638624.579297
0.4537 (2.2041)18022.551431
0.463 (2.16)523169.646626
0.4722 (2.1176)1305671.424176
0.4815 (2.0769)573052.022637
0.4907 (2.0377)2297433.944677
0.5 (2)257154.968092



Parameters (Session):
par1 = 3 ; par2 = 1 ; par3 = 2 ; par4 = TRUE ;
Parameters (R input):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 1 ;
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')