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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 computationWed, 29 Dec 2010 15:15:33 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/29/t12936355951glsrssc23wun8w.htm/, Retrieved Fri, 03 May 2024 06:07:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116904, Retrieved Fri, 03 May 2024 06:07:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [Paper] [2010-12-29 14:04:15] [f9c71f724b8f3da7e2789afe36ffff39]
-   PD    [Spectral Analysis] [Paper: SA (18t/m24)] [2010-12-29 15:15:33] [35c3410767ea63f72c8afa35bf7b6164] [Current]
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Dataseries X:
49915
47469
45652
43492
41087
42931
67256
72316
65624
59450
52851
51214
44092
43752
40320
40551
38329
39530
59648
61031
55560
43877
38510
36085
35994
32617
30001
27894
26083
28817
48742
49915
40264
34276
30426
30793
29855
28081
26820
25782
22654
27373
43675
45096
38145
34017
31537
33814
36531
36935
36497
35110
33137
37407
53963
56602
49694
43957
41723
45599
42503
42153
39098
37449
34748
36548
53639
55289
47774
42156
38019




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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116904&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116904&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116904&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' @ 72.249.76.132







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0.3
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0167 (60)6.597131
0.0333 (30)1.35865
0.05 (20)4.106116
0.0667 (15)0.075089
0.0833 (12)1.842543
0.1 (10)1.840423
0.1167 (8.5714)1.974935
0.1333 (7.5)0.068956
0.15 (6.6667)2.68024
0.1667 (6)0.65585
0.1833 (5.4545)3.157618
0.2 (5)2.49945
0.2167 (4.6154)3.202742
0.2333 (4.2857)0.747859
0.25 (4)0.086667
0.2667 (3.75)1.347965
0.2833 (3.5294)6.234582
0.3 (3.3333)0.014398
0.3167 (3.1579)0.830177
0.3333 (3)0.16688
0.35 (2.8571)2.87791
0.3667 (2.7273)0.881257
0.3833 (2.6087)0.94933
0.4 (2.5)1.221072
0.4167 (2.4)0.105317
0.4333 (2.3077)3.896996
0.45 (2.2222)4.497209
0.4667 (2.1429)7.766576
0.4833 (2.069)3.098203
0.5 (2)0.011654

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 0.3 \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) & 6.597131 \tabularnewline
0.0333 (30) & 1.35865 \tabularnewline
0.05 (20) & 4.106116 \tabularnewline
0.0667 (15) & 0.075089 \tabularnewline
0.0833 (12) & 1.842543 \tabularnewline
0.1 (10) & 1.840423 \tabularnewline
0.1167 (8.5714) & 1.974935 \tabularnewline
0.1333 (7.5) & 0.068956 \tabularnewline
0.15 (6.6667) & 2.68024 \tabularnewline
0.1667 (6) & 0.65585 \tabularnewline
0.1833 (5.4545) & 3.157618 \tabularnewline
0.2 (5) & 2.49945 \tabularnewline
0.2167 (4.6154) & 3.202742 \tabularnewline
0.2333 (4.2857) & 0.747859 \tabularnewline
0.25 (4) & 0.086667 \tabularnewline
0.2667 (3.75) & 1.347965 \tabularnewline
0.2833 (3.5294) & 6.234582 \tabularnewline
0.3 (3.3333) & 0.014398 \tabularnewline
0.3167 (3.1579) & 0.830177 \tabularnewline
0.3333 (3) & 0.16688 \tabularnewline
0.35 (2.8571) & 2.87791 \tabularnewline
0.3667 (2.7273) & 0.881257 \tabularnewline
0.3833 (2.6087) & 0.94933 \tabularnewline
0.4 (2.5) & 1.221072 \tabularnewline
0.4167 (2.4) & 0.105317 \tabularnewline
0.4333 (2.3077) & 3.896996 \tabularnewline
0.45 (2.2222) & 4.497209 \tabularnewline
0.4667 (2.1429) & 7.766576 \tabularnewline
0.4833 (2.069) & 3.098203 \tabularnewline
0.5 (2) & 0.011654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116904&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]0.3[/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]6.597131[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]1.35865[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]4.106116[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]0.075089[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]1.842543[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]1.840423[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]1.974935[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]0.068956[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]2.68024[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.65585[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]3.157618[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]2.49945[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]3.202742[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]0.747859[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.086667[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]1.347965[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]6.234582[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]0.014398[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]0.830177[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.16688[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]2.87791[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]0.881257[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]0.94933[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]1.221072[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.105317[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]3.896996[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]4.497209[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]7.766576[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]3.098203[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.011654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116904&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116904&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)0.3
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0167 (60)6.597131
0.0333 (30)1.35865
0.05 (20)4.106116
0.0667 (15)0.075089
0.0833 (12)1.842543
0.1 (10)1.840423
0.1167 (8.5714)1.974935
0.1333 (7.5)0.068956
0.15 (6.6667)2.68024
0.1667 (6)0.65585
0.1833 (5.4545)3.157618
0.2 (5)2.49945
0.2167 (4.6154)3.202742
0.2333 (4.2857)0.747859
0.25 (4)0.086667
0.2667 (3.75)1.347965
0.2833 (3.5294)6.234582
0.3 (3.3333)0.014398
0.3167 (3.1579)0.830177
0.3333 (3)0.16688
0.35 (2.8571)2.87791
0.3667 (2.7273)0.881257
0.3833 (2.6087)0.94933
0.4 (2.5)1.221072
0.4167 (2.4)0.105317
0.4333 (2.3077)3.896996
0.45 (2.2222)4.497209
0.4667 (2.1429)7.766576
0.4833 (2.069)3.098203
0.5 (2)0.011654



Parameters (Session):
par1 = 12 ; par2 = 0.5 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = 2 ; par7 = 1 ; par8 = 0 ; par9 = 1 ; par10 = FALSE ;
Parameters (R input):
par1 = 0.3 ; 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')