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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationThu, 26 Nov 2009 03:00:41 -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/2009/Nov/26/t1259229693olxf7gqvp9nlp81.htm/, Retrieved Sun, 28 Apr 2024 22:52:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59756, Retrieved Sun, 28 Apr 2024 22:52:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

Tree of Dependent Computations

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 12:38:17] [b98453cac15ba1066b407e146608df68]
-    D          [Spectral Analysis] [] [2009-11-26 10:00:41] [830aa0f7fb5acd5849dbc0c6ad889830] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945
506174
501866
516141

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59756&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]1 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=59756&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59756&T=0

As an alternative you can also use a QR Code:  
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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






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)12
Frequency (Period)Spectrum
0.0139 (72)26559651749.7439
0.0278 (36)1588664790.72136
0.0417 (24)1183215039.00204
0.0556 (18)279365044.797412
0.0694 (14.4)415368890.28646
0.0833 (12)9452963728.36168
0.0972 (10.2857)572400826.188295
0.1111 (9)18573266.159891
0.125 (8)9832456.04345
0.1389 (7.2)72637705.322646
0.1528 (6.5455)37270389.097289
0.1667 (6)5570316601.42687
0.1806 (5.5385)31238777.938283
0.1944 (5.1429)42036489.203045
0.2083 (4.8)54206268.547872
0.2222 (4.5)26171753.294768
0.2361 (4.2353)1109978.176044
0.25 (4)673601845.050399
0.2639 (3.7895)74795056.45754
0.2778 (3.6)26843032.436335
0.2917 (3.4286)2155781.143871
0.3056 (3.2727)2877817.313801
0.3194 (3.1304)10873507.609128
0.3333 (3)491981031.299384
0.3472 (2.88)39488158.751115
0.3611 (2.7692)9502976.265942
0.375 (2.6667)15182689.267008
0.3889 (2.5714)9100482.414279
0.4028 (2.4828)2511407.241427
0.4167 (2.4)295721309.098857
0.4306 (2.3226)14152741.305434
0.4444 (2.25)4758502.422358
0.4583 (2.1818)8459612.710753
0.4722 (2.1176)17297493.539314
0.4861 (2.0571)4469424.041546
0.5 (2)96681300.251758

\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) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0139 (72) & 26559651749.7439 \tabularnewline
0.0278 (36) & 1588664790.72136 \tabularnewline
0.0417 (24) & 1183215039.00204 \tabularnewline
0.0556 (18) & 279365044.797412 \tabularnewline
0.0694 (14.4) & 415368890.28646 \tabularnewline
0.0833 (12) & 9452963728.36168 \tabularnewline
0.0972 (10.2857) & 572400826.188295 \tabularnewline
0.1111 (9) & 18573266.159891 \tabularnewline
0.125 (8) & 9832456.04345 \tabularnewline
0.1389 (7.2) & 72637705.322646 \tabularnewline
0.1528 (6.5455) & 37270389.097289 \tabularnewline
0.1667 (6) & 5570316601.42687 \tabularnewline
0.1806 (5.5385) & 31238777.938283 \tabularnewline
0.1944 (5.1429) & 42036489.203045 \tabularnewline
0.2083 (4.8) & 54206268.547872 \tabularnewline
0.2222 (4.5) & 26171753.294768 \tabularnewline
0.2361 (4.2353) & 1109978.176044 \tabularnewline
0.25 (4) & 673601845.050399 \tabularnewline
0.2639 (3.7895) & 74795056.45754 \tabularnewline
0.2778 (3.6) & 26843032.436335 \tabularnewline
0.2917 (3.4286) & 2155781.143871 \tabularnewline
0.3056 (3.2727) & 2877817.313801 \tabularnewline
0.3194 (3.1304) & 10873507.609128 \tabularnewline
0.3333 (3) & 491981031.299384 \tabularnewline
0.3472 (2.88) & 39488158.751115 \tabularnewline
0.3611 (2.7692) & 9502976.265942 \tabularnewline
0.375 (2.6667) & 15182689.267008 \tabularnewline
0.3889 (2.5714) & 9100482.414279 \tabularnewline
0.4028 (2.4828) & 2511407.241427 \tabularnewline
0.4167 (2.4) & 295721309.098857 \tabularnewline
0.4306 (2.3226) & 14152741.305434 \tabularnewline
0.4444 (2.25) & 4758502.422358 \tabularnewline
0.4583 (2.1818) & 8459612.710753 \tabularnewline
0.4722 (2.1176) & 17297493.539314 \tabularnewline
0.4861 (2.0571) & 4469424.041546 \tabularnewline
0.5 (2) & 96681300.251758 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59756&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]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]26559651749.7439[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]1588664790.72136[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]1183215039.00204[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]279365044.797412[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]415368890.28646[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]9452963728.36168[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]572400826.188295[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]18573266.159891[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]9832456.04345[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]72637705.322646[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]37270389.097289[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]5570316601.42687[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]31238777.938283[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]42036489.203045[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]54206268.547872[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]26171753.294768[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]1109978.176044[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]673601845.050399[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]74795056.45754[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]26843032.436335[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]2155781.143871[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]2877817.313801[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]10873507.609128[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]491981031.299384[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]39488158.751115[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]9502976.265942[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]15182689.267008[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]9100482.414279[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]2511407.241427[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]295721309.098857[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]14152741.305434[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]4758502.422358[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]8459612.710753[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]17297493.539314[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]4469424.041546[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]96681300.251758[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59756&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59756&T=1

As an alternative you can also use a QR Code:  
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)12
Frequency (Period)Spectrum
0.0139 (72)26559651749.7439
0.0278 (36)1588664790.72136
0.0417 (24)1183215039.00204
0.0556 (18)279365044.797412
0.0694 (14.4)415368890.28646
0.0833 (12)9452963728.36168
0.0972 (10.2857)572400826.188295
0.1111 (9)18573266.159891
0.125 (8)9832456.04345
0.1389 (7.2)72637705.322646
0.1528 (6.5455)37270389.097289
0.1667 (6)5570316601.42687
0.1806 (5.5385)31238777.938283
0.1944 (5.1429)42036489.203045
0.2083 (4.8)54206268.547872
0.2222 (4.5)26171753.294768
0.2361 (4.2353)1109978.176044
0.25 (4)673601845.050399
0.2639 (3.7895)74795056.45754
0.2778 (3.6)26843032.436335
0.2917 (3.4286)2155781.143871
0.3056 (3.2727)2877817.313801
0.3194 (3.1304)10873507.609128
0.3333 (3)491981031.299384
0.3472 (2.88)39488158.751115
0.3611 (2.7692)9502976.265942
0.375 (2.6667)15182689.267008
0.3889 (2.5714)9100482.414279
0.4028 (2.4828)2511407.241427
0.4167 (2.4)295721309.098857
0.4306 (2.3226)14152741.305434
0.4444 (2.25)4758502.422358
0.4583 (2.1818)8459612.710753
0.4722 (2.1176)17297493.539314
0.4861 (2.0571)4469424.041546
0.5 (2)96681300.251758


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = 0 ; par3 = 0 ; 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')