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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 computationSun, 18 Dec 2016 22:30:28 +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/18/t14820966518szqogvtwixejg5.htm/, Retrieved Wed, 08 May 2024 22:57:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301254, Retrieved Wed, 08 May 2024 22:57:03 +0000
QR Codes:

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)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Spectral Analysis] [Unemployment] [2010-11-29 09:27:34] [b98453cac15ba1066b407e146608df68]
- RMPD      [Spectral Analysis] [] [2016-12-18 21:30:28] [8e62cbb8023b87d93040197279d31dd8] [Current]
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Dataseries X:
5731
5461
4594
3770
3551
3094
3020
3081
3041
3087
3455
3225
3177
2551
1680
1599
1846
1990
2238
2089
2230
2468
2675
2989
2868
2564
1583
1435
1297
1266
1607
1819
2039
1817
1833
2442
2157
1870
1057
660
1057
1127
1096
1018
1184
1690
1868
2019
2170
1994
917
566
727
980
1138
1069
1039
1509
1591
2056
1975
1748
738
1039
1038
1054
1689
1726
2101
2325
2155
2190
1725
1404
571
704
1061
1593
2039
1767
1804
1520
1795
2171
1853
1425
835
927
1204
1408
1828
1788
1878
1513
1538
2273
2223
1833
1380
1081
1586
1809
1737
1896
2248
2116
2416
2934
2513
1958
986
1378
2071
2272
2474




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=301254&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=301254&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301254&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
0.0093 (108)19761.913014
0.0185 (54)11769.999098
0.0278 (36)38137.389426
0.037 (27)21026.379813
0.0463 (21.6)61207.317568
0.0556 (18)18122.911339
0.0648 (15.4286)29399.347959
0.0741 (13.5)27039.864714
0.0833 (12)1688.571972
0.0926 (10.8)54466.580877
0.1019 (9.8182)264443.545039
0.1111 (9)175044.95866
0.1204 (8.3077)8978.866586
0.1296 (7.7143)171043.133306
0.1389 (7.2)400892.147101
0.1481 (6.75)61359.964744
0.1574 (6.3529)2387.419962
0.1667 (6)2842.436516
0.1759 (5.6842)2312.448807
0.1852 (5.4)71975.683816
0.1944 (5.1429)30287.024633
0.2037 (4.9091)1166.333595
0.213 (4.6957)711318.066194
0.2222 (4.5)171718.400212
0.2315 (4.32)124141.989557
0.2407 (4.1538)70518.953932
0.25 (4)9099.553851
0.2593 (3.8571)876.667095
0.2685 (3.7241)32638.623748
0.2778 (3.6)88425.290364
0.287 (3.4839)231228.684771
0.2963 (3.375)7610.807066
0.3056 (3.2727)24843.41449
0.3148 (3.1765)30691.08761
0.3241 (3.0857)39114.701602
0.3333 (3)40334.222799
0.3426 (2.9189)50337.409129
0.3519 (2.8421)244724.777376
0.3611 (2.7692)199872.729953
0.3704 (2.7)10372.411719
0.3796 (2.6341)195348.180348
0.3889 (2.5714)57369.533681
0.3981 (2.5116)223195.177813
0.4074 (2.4545)2869.9426
0.4167 (2.4)8676.237258
0.4259 (2.3478)41060.266584
0.4352 (2.2979)48816.267918
0.4444 (2.25)87012.279636
0.4537 (2.2041)2618.824933
0.463 (2.16)63799.396183
0.4722 (2.1176)87626.280595
0.4815 (2.0769)18461.556082
0.4907 (2.0377)69862.477773
0.5 (2)7234.78849

\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
0.0093 (108) & 19761.913014 \tabularnewline
0.0185 (54) & 11769.999098 \tabularnewline
0.0278 (36) & 38137.389426 \tabularnewline
0.037 (27) & 21026.379813 \tabularnewline
0.0463 (21.6) & 61207.317568 \tabularnewline
0.0556 (18) & 18122.911339 \tabularnewline
0.0648 (15.4286) & 29399.347959 \tabularnewline
0.0741 (13.5) & 27039.864714 \tabularnewline
0.0833 (12) & 1688.571972 \tabularnewline
0.0926 (10.8) & 54466.580877 \tabularnewline
0.1019 (9.8182) & 264443.545039 \tabularnewline
0.1111 (9) & 175044.95866 \tabularnewline
0.1204 (8.3077) & 8978.866586 \tabularnewline
0.1296 (7.7143) & 171043.133306 \tabularnewline
0.1389 (7.2) & 400892.147101 \tabularnewline
0.1481 (6.75) & 61359.964744 \tabularnewline
0.1574 (6.3529) & 2387.419962 \tabularnewline
0.1667 (6) & 2842.436516 \tabularnewline
0.1759 (5.6842) & 2312.448807 \tabularnewline
0.1852 (5.4) & 71975.683816 \tabularnewline
0.1944 (5.1429) & 30287.024633 \tabularnewline
0.2037 (4.9091) & 1166.333595 \tabularnewline
0.213 (4.6957) & 711318.066194 \tabularnewline
0.2222 (4.5) & 171718.400212 \tabularnewline
0.2315 (4.32) & 124141.989557 \tabularnewline
0.2407 (4.1538) & 70518.953932 \tabularnewline
0.25 (4) & 9099.553851 \tabularnewline
0.2593 (3.8571) & 876.667095 \tabularnewline
0.2685 (3.7241) & 32638.623748 \tabularnewline
0.2778 (3.6) & 88425.290364 \tabularnewline
0.287 (3.4839) & 231228.684771 \tabularnewline
0.2963 (3.375) & 7610.807066 \tabularnewline
0.3056 (3.2727) & 24843.41449 \tabularnewline
0.3148 (3.1765) & 30691.08761 \tabularnewline
0.3241 (3.0857) & 39114.701602 \tabularnewline
0.3333 (3) & 40334.222799 \tabularnewline
0.3426 (2.9189) & 50337.409129 \tabularnewline
0.3519 (2.8421) & 244724.777376 \tabularnewline
0.3611 (2.7692) & 199872.729953 \tabularnewline
0.3704 (2.7) & 10372.411719 \tabularnewline
0.3796 (2.6341) & 195348.180348 \tabularnewline
0.3889 (2.5714) & 57369.533681 \tabularnewline
0.3981 (2.5116) & 223195.177813 \tabularnewline
0.4074 (2.4545) & 2869.9426 \tabularnewline
0.4167 (2.4) & 8676.237258 \tabularnewline
0.4259 (2.3478) & 41060.266584 \tabularnewline
0.4352 (2.2979) & 48816.267918 \tabularnewline
0.4444 (2.25) & 87012.279636 \tabularnewline
0.4537 (2.2041) & 2618.824933 \tabularnewline
0.463 (2.16) & 63799.396183 \tabularnewline
0.4722 (2.1176) & 87626.280595 \tabularnewline
0.4815 (2.0769) & 18461.556082 \tabularnewline
0.4907 (2.0377) & 69862.477773 \tabularnewline
0.5 (2) & 7234.78849 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301254&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]0.0093 (108)[/C][C]19761.913014[/C][/ROW]
[ROW][C]0.0185 (54)[/C][C]11769.999098[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]38137.389426[/C][/ROW]
[ROW][C]0.037 (27)[/C][C]21026.379813[/C][/ROW]
[ROW][C]0.0463 (21.6)[/C][C]61207.317568[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]18122.911339[/C][/ROW]
[ROW][C]0.0648 (15.4286)[/C][C]29399.347959[/C][/ROW]
[ROW][C]0.0741 (13.5)[/C][C]27039.864714[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]1688.571972[/C][/ROW]
[ROW][C]0.0926 (10.8)[/C][C]54466.580877[/C][/ROW]
[ROW][C]0.1019 (9.8182)[/C][C]264443.545039[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]175044.95866[/C][/ROW]
[ROW][C]0.1204 (8.3077)[/C][C]8978.866586[/C][/ROW]
[ROW][C]0.1296 (7.7143)[/C][C]171043.133306[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]400892.147101[/C][/ROW]
[ROW][C]0.1481 (6.75)[/C][C]61359.964744[/C][/ROW]
[ROW][C]0.1574 (6.3529)[/C][C]2387.419962[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]2842.436516[/C][/ROW]
[ROW][C]0.1759 (5.6842)[/C][C]2312.448807[/C][/ROW]
[ROW][C]0.1852 (5.4)[/C][C]71975.683816[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]30287.024633[/C][/ROW]
[ROW][C]0.2037 (4.9091)[/C][C]1166.333595[/C][/ROW]
[ROW][C]0.213 (4.6957)[/C][C]711318.066194[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]171718.400212[/C][/ROW]
[ROW][C]0.2315 (4.32)[/C][C]124141.989557[/C][/ROW]
[ROW][C]0.2407 (4.1538)[/C][C]70518.953932[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]9099.553851[/C][/ROW]
[ROW][C]0.2593 (3.8571)[/C][C]876.667095[/C][/ROW]
[ROW][C]0.2685 (3.7241)[/C][C]32638.623748[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]88425.290364[/C][/ROW]
[ROW][C]0.287 (3.4839)[/C][C]231228.684771[/C][/ROW]
[ROW][C]0.2963 (3.375)[/C][C]7610.807066[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]24843.41449[/C][/ROW]
[ROW][C]0.3148 (3.1765)[/C][C]30691.08761[/C][/ROW]
[ROW][C]0.3241 (3.0857)[/C][C]39114.701602[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]40334.222799[/C][/ROW]
[ROW][C]0.3426 (2.9189)[/C][C]50337.409129[/C][/ROW]
[ROW][C]0.3519 (2.8421)[/C][C]244724.777376[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]199872.729953[/C][/ROW]
[ROW][C]0.3704 (2.7)[/C][C]10372.411719[/C][/ROW]
[ROW][C]0.3796 (2.6341)[/C][C]195348.180348[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]57369.533681[/C][/ROW]
[ROW][C]0.3981 (2.5116)[/C][C]223195.177813[/C][/ROW]
[ROW][C]0.4074 (2.4545)[/C][C]2869.9426[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]8676.237258[/C][/ROW]
[ROW][C]0.4259 (2.3478)[/C][C]41060.266584[/C][/ROW]
[ROW][C]0.4352 (2.2979)[/C][C]48816.267918[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]87012.279636[/C][/ROW]
[ROW][C]0.4537 (2.2041)[/C][C]2618.824933[/C][/ROW]
[ROW][C]0.463 (2.16)[/C][C]63799.396183[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]87626.280595[/C][/ROW]
[ROW][C]0.4815 (2.0769)[/C][C]18461.556082[/C][/ROW]
[ROW][C]0.4907 (2.0377)[/C][C]69862.477773[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]7234.78849[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301254&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301254&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
0.0093 (108)19761.913014
0.0185 (54)11769.999098
0.0278 (36)38137.389426
0.037 (27)21026.379813
0.0463 (21.6)61207.317568
0.0556 (18)18122.911339
0.0648 (15.4286)29399.347959
0.0741 (13.5)27039.864714
0.0833 (12)1688.571972
0.0926 (10.8)54466.580877
0.1019 (9.8182)264443.545039
0.1111 (9)175044.95866
0.1204 (8.3077)8978.866586
0.1296 (7.7143)171043.133306
0.1389 (7.2)400892.147101
0.1481 (6.75)61359.964744
0.1574 (6.3529)2387.419962
0.1667 (6)2842.436516
0.1759 (5.6842)2312.448807
0.1852 (5.4)71975.683816
0.1944 (5.1429)30287.024633
0.2037 (4.9091)1166.333595
0.213 (4.6957)711318.066194
0.2222 (4.5)171718.400212
0.2315 (4.32)124141.989557
0.2407 (4.1538)70518.953932
0.25 (4)9099.553851
0.2593 (3.8571)876.667095
0.2685 (3.7241)32638.623748
0.2778 (3.6)88425.290364
0.287 (3.4839)231228.684771
0.2963 (3.375)7610.807066
0.3056 (3.2727)24843.41449
0.3148 (3.1765)30691.08761
0.3241 (3.0857)39114.701602
0.3333 (3)40334.222799
0.3426 (2.9189)50337.409129
0.3519 (2.8421)244724.777376
0.3611 (2.7692)199872.729953
0.3704 (2.7)10372.411719
0.3796 (2.6341)195348.180348
0.3889 (2.5714)57369.533681
0.3981 (2.5116)223195.177813
0.4074 (2.4545)2869.9426
0.4167 (2.4)8676.237258
0.4259 (2.3478)41060.266584
0.4352 (2.2979)48816.267918
0.4444 (2.25)87012.279636
0.4537 (2.2041)2618.824933
0.463 (2.16)63799.396183
0.4722 (2.1176)87626.280595
0.4815 (2.0769)18461.556082
0.4907 (2.0377)69862.477773
0.5 (2)7234.78849



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