Free Statistics

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 computationSun, 28 Nov 2010 15:14:47 +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/Nov/28/t1290957190cgjqs2gmiwcm75n.htm/, Retrieved Thu, 02 May 2024 20:16:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=102592, Retrieved Thu, 02 May 2024 20:16:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [Spectral Analysis] [Spectrum analyse ...] [2010-11-26 00:07:55] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD      [Spectral Analysis] [Spectrumanalyse] [2010-11-28 15:14:47] [ecfb965f5669057f3ac5b58964283289] [Current]
Feedback Forum

Post a new message
Dataseries X:
63.152
60.106
72.616
73.159
68.848
77.056
62.246
60.777
64.513
58.353
56.511
44.554
71.414
65.719
80.997
69.826
65.386
75.589
65.520
59.003
63.961
59.716
57.520
42.886
69.805
64.656
80.353
71.321
76.577
81.580
71.127
63.478
48.152
69.236
57.038
43.621
69.551
72.009
72.140
81.519
73.310
80.406
70.697
59.328
68.281
70.041
51.244
46.538
61.443
62.256
73.117
74.155
65.191
77.889
68.688
59.983
65.470
65.089
54.795
47.123




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102592&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102592&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102592&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







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
0.0167 (60)40.476995
0.0333 (30)10.749282
0.05 (20)27.999394
0.0667 (15)144.06485
0.0833 (12)1332.631891
0.1 (10)17.556108
0.1167 (8.5714)0.09789
0.1333 (7.5)66.052817
0.15 (6.6667)19.618028
0.1667 (6)63.431046
0.1833 (5.4545)4.004677
0.2 (5)51.167071
0.2167 (4.6154)16.436807
0.2333 (4.2857)18.820454
0.25 (4)327.337946
0.2667 (3.75)24.472252
0.2833 (3.5294)10.289936
0.3 (3.3333)8.662696
0.3167 (3.1579)17.139091
0.3333 (3)137.335582
0.35 (2.8571)84.834059
0.3667 (2.7273)51.463494
0.3833 (2.6087)9.986529
0.4 (2.5)12.231973
0.4167 (2.4)228.966827
0.4333 (2.3077)58.94563
0.45 (2.2222)7.669176
0.4667 (2.1429)26.297233
0.4833 (2.069)53.787201
0.5 (2)28.161366

\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
0.0167 (60) & 40.476995 \tabularnewline
0.0333 (30) & 10.749282 \tabularnewline
0.05 (20) & 27.999394 \tabularnewline
0.0667 (15) & 144.06485 \tabularnewline
0.0833 (12) & 1332.631891 \tabularnewline
0.1 (10) & 17.556108 \tabularnewline
0.1167 (8.5714) & 0.09789 \tabularnewline
0.1333 (7.5) & 66.052817 \tabularnewline
0.15 (6.6667) & 19.618028 \tabularnewline
0.1667 (6) & 63.431046 \tabularnewline
0.1833 (5.4545) & 4.004677 \tabularnewline
0.2 (5) & 51.167071 \tabularnewline
0.2167 (4.6154) & 16.436807 \tabularnewline
0.2333 (4.2857) & 18.820454 \tabularnewline
0.25 (4) & 327.337946 \tabularnewline
0.2667 (3.75) & 24.472252 \tabularnewline
0.2833 (3.5294) & 10.289936 \tabularnewline
0.3 (3.3333) & 8.662696 \tabularnewline
0.3167 (3.1579) & 17.139091 \tabularnewline
0.3333 (3) & 137.335582 \tabularnewline
0.35 (2.8571) & 84.834059 \tabularnewline
0.3667 (2.7273) & 51.463494 \tabularnewline
0.3833 (2.6087) & 9.986529 \tabularnewline
0.4 (2.5) & 12.231973 \tabularnewline
0.4167 (2.4) & 228.966827 \tabularnewline
0.4333 (2.3077) & 58.94563 \tabularnewline
0.45 (2.2222) & 7.669176 \tabularnewline
0.4667 (2.1429) & 26.297233 \tabularnewline
0.4833 (2.069) & 53.787201 \tabularnewline
0.5 (2) & 28.161366 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102592&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]0.0167 (60)[/C][C]40.476995[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]10.749282[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]27.999394[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]144.06485[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]1332.631891[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]17.556108[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]0.09789[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]66.052817[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]19.618028[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]63.431046[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]4.004677[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]51.167071[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]16.436807[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]18.820454[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]327.337946[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]24.472252[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]10.289936[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]8.662696[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]17.139091[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]137.335582[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]84.834059[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]51.463494[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]9.986529[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]12.231973[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]228.966827[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]58.94563[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]7.669176[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]26.297233[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]53.787201[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]28.161366[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102592&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102592&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)12
Frequency (Period)Spectrum
0.0167 (60)40.476995
0.0333 (30)10.749282
0.05 (20)27.999394
0.0667 (15)144.06485
0.0833 (12)1332.631891
0.1 (10)17.556108
0.1167 (8.5714)0.09789
0.1333 (7.5)66.052817
0.15 (6.6667)19.618028
0.1667 (6)63.431046
0.1833 (5.4545)4.004677
0.2 (5)51.167071
0.2167 (4.6154)16.436807
0.2333 (4.2857)18.820454
0.25 (4)327.337946
0.2667 (3.75)24.472252
0.2833 (3.5294)10.289936
0.3 (3.3333)8.662696
0.3167 (3.1579)17.139091
0.3333 (3)137.335582
0.35 (2.8571)84.834059
0.3667 (2.7273)51.463494
0.3833 (2.6087)9.986529
0.4 (2.5)12.231973
0.4167 (2.4)228.966827
0.4333 (2.3077)58.94563
0.45 (2.2222)7.669176
0.4667 (2.1429)26.297233
0.4833 (2.069)53.787201
0.5 (2)28.161366



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')