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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationTue, 27 Nov 2007 03:06:03 -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/2007/Nov/27/t1196157391fd84l87ygzyptcu.htm/, Retrieved Sun, 05 May 2024 10:17:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6792, Retrieved Sun, 05 May 2024 10:17:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [opdracht 3 Q2] [2007-11-27 10:06:03] [0d8f90662bd29255b957138f6acc6b00] [Current]
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Dataseries X:
3804
3491
4151
4254
4717
4866
4001
3758
4780
5016
4296
4467
3891
3872
3867
3973
4640
4538
3836
3770
4374
4497
3945
3862
3608
3301
3882
3605
4305
4216
3971
3988
4317
4484
4247
3520
3686
3403
3990
4053
4548
4559
3922
4209
4517
4386
3221
3127
3777
3322
3899
4033
4463
4819
4246
4255
4760
4581
4309
4016
3601
3257
3823
3940
4534
4575
3953
4206
4649
4353
3835
3944




Summary of compuational 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 compuational 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=6792&T=0

[TABLE]
[ROW][C]Summary of compuational 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=6792&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6792&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 compuational 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)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0167 (60)11285.091439
0.0333 (30)16848.514274
0.05 (20)54875.685503
0.0667 (15)30875.847195
0.0833 (12)18063.336015
0.1 (10)47118.748383
0.1167 (8.5714)74395.388718
0.1333 (7.5)26053.697328
0.15 (6.6667)83966.32613
0.1667 (6)4924.708643
0.1833 (5.4545)121383.692358
0.2 (5)342307.068692
0.2167 (4.6154)436984.77027
0.2333 (4.2857)33356.392868
0.25 (4)54604.574151
0.2667 (3.75)88297.115823
0.2833 (3.5294)489727.405426
0.3 (3.3333)53480.587702
0.3167 (3.1579)328.253619
0.3333 (3)26372.574315
0.35 (2.8571)450999.939363
0.3667 (2.7273)276971.515157
0.3833 (2.6087)36423.357734
0.4 (2.5)364291.7364
0.4167 (2.4)50431.647574
0.4333 (2.3077)61178.713914
0.45 (2.2222)47594.528776
0.4667 (2.1429)308457.907681
0.4833 (2.069)167964.613417
0.5 (2)49759.934324

\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
0.0167 (60) & 11285.091439 \tabularnewline
0.0333 (30) & 16848.514274 \tabularnewline
0.05 (20) & 54875.685503 \tabularnewline
0.0667 (15) & 30875.847195 \tabularnewline
0.0833 (12) & 18063.336015 \tabularnewline
0.1 (10) & 47118.748383 \tabularnewline
0.1167 (8.5714) & 74395.388718 \tabularnewline
0.1333 (7.5) & 26053.697328 \tabularnewline
0.15 (6.6667) & 83966.32613 \tabularnewline
0.1667 (6) & 4924.708643 \tabularnewline
0.1833 (5.4545) & 121383.692358 \tabularnewline
0.2 (5) & 342307.068692 \tabularnewline
0.2167 (4.6154) & 436984.77027 \tabularnewline
0.2333 (4.2857) & 33356.392868 \tabularnewline
0.25 (4) & 54604.574151 \tabularnewline
0.2667 (3.75) & 88297.115823 \tabularnewline
0.2833 (3.5294) & 489727.405426 \tabularnewline
0.3 (3.3333) & 53480.587702 \tabularnewline
0.3167 (3.1579) & 328.253619 \tabularnewline
0.3333 (3) & 26372.574315 \tabularnewline
0.35 (2.8571) & 450999.939363 \tabularnewline
0.3667 (2.7273) & 276971.515157 \tabularnewline
0.3833 (2.6087) & 36423.357734 \tabularnewline
0.4 (2.5) & 364291.7364 \tabularnewline
0.4167 (2.4) & 50431.647574 \tabularnewline
0.4333 (2.3077) & 61178.713914 \tabularnewline
0.45 (2.2222) & 47594.528776 \tabularnewline
0.4667 (2.1429) & 308457.907681 \tabularnewline
0.4833 (2.069) & 167964.613417 \tabularnewline
0.5 (2) & 49759.934324 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6792&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]0.0167 (60)[/C][C]11285.091439[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]16848.514274[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]54875.685503[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]30875.847195[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]18063.336015[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]47118.748383[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]74395.388718[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]26053.697328[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]83966.32613[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]4924.708643[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]121383.692358[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]342307.068692[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]436984.77027[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]33356.392868[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]54604.574151[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]88297.115823[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]489727.405426[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]53480.587702[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]328.253619[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]26372.574315[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]450999.939363[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]276971.515157[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]36423.357734[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]364291.7364[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]50431.647574[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]61178.713914[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]47594.528776[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]308457.907681[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]167964.613417[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]49759.934324[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6792&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6792&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
0.0167 (60)11285.091439
0.0333 (30)16848.514274
0.05 (20)54875.685503
0.0667 (15)30875.847195
0.0833 (12)18063.336015
0.1 (10)47118.748383
0.1167 (8.5714)74395.388718
0.1333 (7.5)26053.697328
0.15 (6.6667)83966.32613
0.1667 (6)4924.708643
0.1833 (5.4545)121383.692358
0.2 (5)342307.068692
0.2167 (4.6154)436984.77027
0.2333 (4.2857)33356.392868
0.25 (4)54604.574151
0.2667 (3.75)88297.115823
0.2833 (3.5294)489727.405426
0.3 (3.3333)53480.587702
0.3167 (3.1579)328.253619
0.3333 (3)26372.574315
0.35 (2.8571)450999.939363
0.3667 (2.7273)276971.515157
0.3833 (2.6087)36423.357734
0.4 (2.5)364291.7364
0.4167 (2.4)50431.647574
0.4333 (2.3077)61178.713914
0.45 (2.2222)47594.528776
0.4667 (2.1429)308457.907681
0.4833 (2.069)167964.613417
0.5 (2)49759.934324



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