Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Module--
Title produced by softwareSpectral Analysis
Date of computationTue, 29 Nov 2011 07:30:44 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/29/t13225698586difwc4gulshmyc.htm/, Retrieved Fri, 29 Mar 2024 06:30:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148255, Retrieved Fri, 29 Mar 2024 06:30:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Spectral Analysis] [Identifying Integ...] [2009-11-22 12:42:14] [b98453cac15ba1066b407e146608df68]
-    D        [Spectral Analysis] [WS8.6METHODE3.2] [2009-11-25 22:44:00] [e0fc65a5811681d807296d590d5b45de]
-               [Spectral Analysis] [Workshop 8 SAM 2] [2010-11-29 18:11:06] [814f53995537cd15c528d8efbf1cf544]
- RM                [Spectral Analysis] [] [2011-11-29 12:30:44] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
58608
46865
51378
46235
47206
45382
41227
33795
31295
42625
33625
21538
56421
53152
53536
52408
41454
38271
35306
26414
31917
38030
27534
18387
50556
43901
48572
43899
37532
40357
35489
29027
34485
42598
30306
26451
47460
50104
61465
53726
39477
43895
31481
29896
33842
39120
33702
25094
51442
45594
52518
48564
41745
49585
32747
33379
35645
37034
35681
20972




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148255&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148255&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148255&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'George Udny Yule' @ yule.wessa.net







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
0.0208 (48)74040648.465141
0.0417 (24)202013591.539899
0.0625 (16)4842256.628281
0.0833 (12)16289.84638
0.1042 (9.6)898497.979854
0.125 (8)120829947.979135
0.1458 (6.8571)19116034.944778
0.1667 (6)3072984.661126
0.1875 (5.3333)3700446.435721
0.2083 (4.8)58518492.835806
0.2292 (4.3636)6274069.923272
0.25 (4)3390593.051853
0.2708 (3.6923)8871023.56052
0.2917 (3.4286)8910252.670205
0.3125 (3.2)1127197.639146
0.3333 (3)16720806.953617
0.3542 (2.8235)33125279.473735
0.375 (2.6667)289725.047495
0.3958 (2.5263)25787248.595483
0.4167 (2.4)6575908.935815
0.4375 (2.2857)1112099.638846
0.4583 (2.1818)25633579.150432
0.4792 (2.087)4045959.866074
0.5 (2)3663661.316596

\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
0.0208 (48) & 74040648.465141 \tabularnewline
0.0417 (24) & 202013591.539899 \tabularnewline
0.0625 (16) & 4842256.628281 \tabularnewline
0.0833 (12) & 16289.84638 \tabularnewline
0.1042 (9.6) & 898497.979854 \tabularnewline
0.125 (8) & 120829947.979135 \tabularnewline
0.1458 (6.8571) & 19116034.944778 \tabularnewline
0.1667 (6) & 3072984.661126 \tabularnewline
0.1875 (5.3333) & 3700446.435721 \tabularnewline
0.2083 (4.8) & 58518492.835806 \tabularnewline
0.2292 (4.3636) & 6274069.923272 \tabularnewline
0.25 (4) & 3390593.051853 \tabularnewline
0.2708 (3.6923) & 8871023.56052 \tabularnewline
0.2917 (3.4286) & 8910252.670205 \tabularnewline
0.3125 (3.2) & 1127197.639146 \tabularnewline
0.3333 (3) & 16720806.953617 \tabularnewline
0.3542 (2.8235) & 33125279.473735 \tabularnewline
0.375 (2.6667) & 289725.047495 \tabularnewline
0.3958 (2.5263) & 25787248.595483 \tabularnewline
0.4167 (2.4) & 6575908.935815 \tabularnewline
0.4375 (2.2857) & 1112099.638846 \tabularnewline
0.4583 (2.1818) & 25633579.150432 \tabularnewline
0.4792 (2.087) & 4045959.866074 \tabularnewline
0.5 (2) & 3663661.316596 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148255&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]0.0208 (48)[/C][C]74040648.465141[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]202013591.539899[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]4842256.628281[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]16289.84638[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]898497.979854[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]120829947.979135[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]19116034.944778[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]3072984.661126[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]3700446.435721[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]58518492.835806[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]6274069.923272[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]3390593.051853[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]8871023.56052[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]8910252.670205[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]1127197.639146[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]16720806.953617[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]33125279.473735[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]289725.047495[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]25787248.595483[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]6575908.935815[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]1112099.638846[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]25633579.150432[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]4045959.866074[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]3663661.316596[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148255&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148255&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
0.0208 (48)74040648.465141
0.0417 (24)202013591.539899
0.0625 (16)4842256.628281
0.0833 (12)16289.84638
0.1042 (9.6)898497.979854
0.125 (8)120829947.979135
0.1458 (6.8571)19116034.944778
0.1667 (6)3072984.661126
0.1875 (5.3333)3700446.435721
0.2083 (4.8)58518492.835806
0.2292 (4.3636)6274069.923272
0.25 (4)3390593.051853
0.2708 (3.6923)8871023.56052
0.2917 (3.4286)8910252.670205
0.3125 (3.2)1127197.639146
0.3333 (3)16720806.953617
0.3542 (2.8235)33125279.473735
0.375 (2.6667)289725.047495
0.3958 (2.5263)25787248.595483
0.4167 (2.4)6575908.935815
0.4375 (2.2857)1112099.638846
0.4583 (2.1818)25633579.150432
0.4792 (2.087)4045959.866074
0.5 (2)3663661.316596



Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = 0 ; par3 = 1 ; par4 = 12 ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')