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of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationFri, 16 Dec 2016 13:37:36 +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/Dec/16/t1481892017phe6tf5tgjcxvn1.htm/, Retrieved Thu, 02 May 2024 17:38:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300220, Retrieved Thu, 02 May 2024 17:38:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [] [2016-12-16 12:37:36] [e4ba36542a85095b1e29ea62dbc4ff31] [Current]
- RMPD    [Multiple Regression] [] [2016-12-19 14:55:23] [32b17a345b130fdf5cc88718ed94a974]
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Dataseries X:
1100
680
860
440
1480
1620
1240
1440
1540
860
1180
1180
1480
940
1300
860
1220
2180
940
920
2060
1160
980
1020
740
720
1340
1140
1200
1900
1020
2140
2020
1340
1400
2320
1280
1160
2120
1540
2400
1420
1480
3380
1880
2200
1980
1340
1960
1340
3300
1780
2040
4460
800
1420
1960
1940
1880
940
1880
720
1660
4260
2540
2320
2860
5880
3140
4440
3600
2920
2260
3740
3380
4560
3320
4760
4000
4840
6160
3440
3280
2000
3600
4320
3480
5620
4200
8540
3800
5380
5140
2720
3120
3440
5020
5800
2260
5800
5660
4880
3440
5900
5960
5520
5920
3840




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=300220&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=300220&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300220&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)4222327.746105
0.0185 (54)1187308.403624
0.0278 (36)2160917.151822
0.037 (27)571713.541654
0.0463 (21.6)679074.626476
0.0556 (18)1191088.903409
0.0648 (15.4286)26247.232552
0.0741 (13.5)833643.504473
0.0833 (12)6354053.7232
0.0926 (10.8)2012271.255876
0.1019 (9.8182)1750873.612888
0.1111 (9)1381856.876037
0.1204 (8.3077)185692.290988
0.1296 (7.7143)625059.295518
0.1389 (7.2)156141.061527
0.1481 (6.75)181.246557
0.1574 (6.3529)120128.984434
0.1667 (6)434491.57201
0.1759 (5.6842)1235099.546082
0.1852 (5.4)1059911.205565
0.1944 (5.1429)815161.203632
0.2037 (4.9091)19471.500734
0.213 (4.6957)737378.73547
0.2222 (4.5)407074.737267
0.2315 (4.32)415932.481053
0.2407 (4.1538)925498.157299
0.25 (4)1414650.121335
0.2593 (3.8571)688769.115549
0.2685 (3.7241)532735.288956
0.2778 (3.6)2819107.016504
0.287 (3.4839)617599.62099
0.2963 (3.375)1350779.417289
0.3056 (3.2727)1932361.089659
0.3148 (3.1765)65430.879706
0.3241 (3.0857)432501.025147
0.3333 (3)726444.587295
0.3426 (2.9189)159655.079304
0.3519 (2.8421)703902.749096
0.3611 (2.7692)788389.352982
0.3704 (2.7)767996.370877
0.3796 (2.6341)174462.501979
0.3889 (2.5714)2005707.441854
0.3981 (2.5116)170547.474689
0.4074 (2.4545)4134144.484856
0.4167 (2.4)3820173.182794
0.4259 (2.3478)463520.967433
0.4352 (2.2979)681089.592979
0.4444 (2.25)862530.214889
0.4537 (2.2041)542508.454364
0.463 (2.16)413474.508405
0.4722 (2.1176)577231.29387
0.4815 (2.0769)153608.83916
0.4907 (2.0377)1337420.635352
0.5 (2)2531056.043403

\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) & 4222327.746105 \tabularnewline
0.0185 (54) & 1187308.403624 \tabularnewline
0.0278 (36) & 2160917.151822 \tabularnewline
0.037 (27) & 571713.541654 \tabularnewline
0.0463 (21.6) & 679074.626476 \tabularnewline
0.0556 (18) & 1191088.903409 \tabularnewline
0.0648 (15.4286) & 26247.232552 \tabularnewline
0.0741 (13.5) & 833643.504473 \tabularnewline
0.0833 (12) & 6354053.7232 \tabularnewline
0.0926 (10.8) & 2012271.255876 \tabularnewline
0.1019 (9.8182) & 1750873.612888 \tabularnewline
0.1111 (9) & 1381856.876037 \tabularnewline
0.1204 (8.3077) & 185692.290988 \tabularnewline
0.1296 (7.7143) & 625059.295518 \tabularnewline
0.1389 (7.2) & 156141.061527 \tabularnewline
0.1481 (6.75) & 181.246557 \tabularnewline
0.1574 (6.3529) & 120128.984434 \tabularnewline
0.1667 (6) & 434491.57201 \tabularnewline
0.1759 (5.6842) & 1235099.546082 \tabularnewline
0.1852 (5.4) & 1059911.205565 \tabularnewline
0.1944 (5.1429) & 815161.203632 \tabularnewline
0.2037 (4.9091) & 19471.500734 \tabularnewline
0.213 (4.6957) & 737378.73547 \tabularnewline
0.2222 (4.5) & 407074.737267 \tabularnewline
0.2315 (4.32) & 415932.481053 \tabularnewline
0.2407 (4.1538) & 925498.157299 \tabularnewline
0.25 (4) & 1414650.121335 \tabularnewline
0.2593 (3.8571) & 688769.115549 \tabularnewline
0.2685 (3.7241) & 532735.288956 \tabularnewline
0.2778 (3.6) & 2819107.016504 \tabularnewline
0.287 (3.4839) & 617599.62099 \tabularnewline
0.2963 (3.375) & 1350779.417289 \tabularnewline
0.3056 (3.2727) & 1932361.089659 \tabularnewline
0.3148 (3.1765) & 65430.879706 \tabularnewline
0.3241 (3.0857) & 432501.025147 \tabularnewline
0.3333 (3) & 726444.587295 \tabularnewline
0.3426 (2.9189) & 159655.079304 \tabularnewline
0.3519 (2.8421) & 703902.749096 \tabularnewline
0.3611 (2.7692) & 788389.352982 \tabularnewline
0.3704 (2.7) & 767996.370877 \tabularnewline
0.3796 (2.6341) & 174462.501979 \tabularnewline
0.3889 (2.5714) & 2005707.441854 \tabularnewline
0.3981 (2.5116) & 170547.474689 \tabularnewline
0.4074 (2.4545) & 4134144.484856 \tabularnewline
0.4167 (2.4) & 3820173.182794 \tabularnewline
0.4259 (2.3478) & 463520.967433 \tabularnewline
0.4352 (2.2979) & 681089.592979 \tabularnewline
0.4444 (2.25) & 862530.214889 \tabularnewline
0.4537 (2.2041) & 542508.454364 \tabularnewline
0.463 (2.16) & 413474.508405 \tabularnewline
0.4722 (2.1176) & 577231.29387 \tabularnewline
0.4815 (2.0769) & 153608.83916 \tabularnewline
0.4907 (2.0377) & 1337420.635352 \tabularnewline
0.5 (2) & 2531056.043403 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300220&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]4222327.746105[/C][/ROW]
[ROW][C]0.0185 (54)[/C][C]1187308.403624[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]2160917.151822[/C][/ROW]
[ROW][C]0.037 (27)[/C][C]571713.541654[/C][/ROW]
[ROW][C]0.0463 (21.6)[/C][C]679074.626476[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]1191088.903409[/C][/ROW]
[ROW][C]0.0648 (15.4286)[/C][C]26247.232552[/C][/ROW]
[ROW][C]0.0741 (13.5)[/C][C]833643.504473[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]6354053.7232[/C][/ROW]
[ROW][C]0.0926 (10.8)[/C][C]2012271.255876[/C][/ROW]
[ROW][C]0.1019 (9.8182)[/C][C]1750873.612888[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]1381856.876037[/C][/ROW]
[ROW][C]0.1204 (8.3077)[/C][C]185692.290988[/C][/ROW]
[ROW][C]0.1296 (7.7143)[/C][C]625059.295518[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]156141.061527[/C][/ROW]
[ROW][C]0.1481 (6.75)[/C][C]181.246557[/C][/ROW]
[ROW][C]0.1574 (6.3529)[/C][C]120128.984434[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]434491.57201[/C][/ROW]
[ROW][C]0.1759 (5.6842)[/C][C]1235099.546082[/C][/ROW]
[ROW][C]0.1852 (5.4)[/C][C]1059911.205565[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]815161.203632[/C][/ROW]
[ROW][C]0.2037 (4.9091)[/C][C]19471.500734[/C][/ROW]
[ROW][C]0.213 (4.6957)[/C][C]737378.73547[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]407074.737267[/C][/ROW]
[ROW][C]0.2315 (4.32)[/C][C]415932.481053[/C][/ROW]
[ROW][C]0.2407 (4.1538)[/C][C]925498.157299[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]1414650.121335[/C][/ROW]
[ROW][C]0.2593 (3.8571)[/C][C]688769.115549[/C][/ROW]
[ROW][C]0.2685 (3.7241)[/C][C]532735.288956[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]2819107.016504[/C][/ROW]
[ROW][C]0.287 (3.4839)[/C][C]617599.62099[/C][/ROW]
[ROW][C]0.2963 (3.375)[/C][C]1350779.417289[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]1932361.089659[/C][/ROW]
[ROW][C]0.3148 (3.1765)[/C][C]65430.879706[/C][/ROW]
[ROW][C]0.3241 (3.0857)[/C][C]432501.025147[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]726444.587295[/C][/ROW]
[ROW][C]0.3426 (2.9189)[/C][C]159655.079304[/C][/ROW]
[ROW][C]0.3519 (2.8421)[/C][C]703902.749096[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]788389.352982[/C][/ROW]
[ROW][C]0.3704 (2.7)[/C][C]767996.370877[/C][/ROW]
[ROW][C]0.3796 (2.6341)[/C][C]174462.501979[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]2005707.441854[/C][/ROW]
[ROW][C]0.3981 (2.5116)[/C][C]170547.474689[/C][/ROW]
[ROW][C]0.4074 (2.4545)[/C][C]4134144.484856[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]3820173.182794[/C][/ROW]
[ROW][C]0.4259 (2.3478)[/C][C]463520.967433[/C][/ROW]
[ROW][C]0.4352 (2.2979)[/C][C]681089.592979[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]862530.214889[/C][/ROW]
[ROW][C]0.4537 (2.2041)[/C][C]542508.454364[/C][/ROW]
[ROW][C]0.463 (2.16)[/C][C]413474.508405[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]577231.29387[/C][/ROW]
[ROW][C]0.4815 (2.0769)[/C][C]153608.83916[/C][/ROW]
[ROW][C]0.4907 (2.0377)[/C][C]1337420.635352[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]2531056.043403[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300220&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300220&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)4222327.746105
0.0185 (54)1187308.403624
0.0278 (36)2160917.151822
0.037 (27)571713.541654
0.0463 (21.6)679074.626476
0.0556 (18)1191088.903409
0.0648 (15.4286)26247.232552
0.0741 (13.5)833643.504473
0.0833 (12)6354053.7232
0.0926 (10.8)2012271.255876
0.1019 (9.8182)1750873.612888
0.1111 (9)1381856.876037
0.1204 (8.3077)185692.290988
0.1296 (7.7143)625059.295518
0.1389 (7.2)156141.061527
0.1481 (6.75)181.246557
0.1574 (6.3529)120128.984434
0.1667 (6)434491.57201
0.1759 (5.6842)1235099.546082
0.1852 (5.4)1059911.205565
0.1944 (5.1429)815161.203632
0.2037 (4.9091)19471.500734
0.213 (4.6957)737378.73547
0.2222 (4.5)407074.737267
0.2315 (4.32)415932.481053
0.2407 (4.1538)925498.157299
0.25 (4)1414650.121335
0.2593 (3.8571)688769.115549
0.2685 (3.7241)532735.288956
0.2778 (3.6)2819107.016504
0.287 (3.4839)617599.62099
0.2963 (3.375)1350779.417289
0.3056 (3.2727)1932361.089659
0.3148 (3.1765)65430.879706
0.3241 (3.0857)432501.025147
0.3333 (3)726444.587295
0.3426 (2.9189)159655.079304
0.3519 (2.8421)703902.749096
0.3611 (2.7692)788389.352982
0.3704 (2.7)767996.370877
0.3796 (2.6341)174462.501979
0.3889 (2.5714)2005707.441854
0.3981 (2.5116)170547.474689
0.4074 (2.4545)4134144.484856
0.4167 (2.4)3820173.182794
0.4259 (2.3478)463520.967433
0.4352 (2.2979)681089.592979
0.4444 (2.25)862530.214889
0.4537 (2.2041)542508.454364
0.463 (2.16)413474.508405
0.4722 (2.1176)577231.29387
0.4815 (2.0769)153608.83916
0.4907 (2.0377)1337420.635352
0.5 (2)2531056.043403



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