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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 computationMon, 08 Dec 2008 11:04:38 -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/2008/Dec/08/t1228759528eoiipj8vvd7xyut.htm/, Retrieved Thu, 16 May 2024 17:20:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30636, Retrieved Thu, 16 May 2024 17:20:34 +0000
QR Codes:

Original text written by user:d=1
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188

Tree of Dependent Computations

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]
- RMP   [ARIMA Backward Selection] [ARIMA Backward Se...] [2008-12-08 10:48:08] [58bf45a666dc5198906262e8815a9722]
- RMPD    [Variance Reduction Matrix] [Variance Reductio...] [2008-12-08 11:24:27] [58bf45a666dc5198906262e8815a9722]
- RMP         [Spectral Analysis] [Spectral Analysis...] [2008-12-08 18:04:38] [63db34dadd44fb018112addcdefe949f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101
104
99
105
107
111
117
119
127
128
135
132
136
143
142
153
145
138
148
152
169
169
161
174
179
191
190
182
175
181
197
194
197
216
221
218
230
227
204
197
199
208
191
202
211
224
224
231
244
235
250
266
288
283
295
312
334
348
383
407

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30636&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30636&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30636&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0167 (60)284.132144
0.0333 (30)77.437815
0.05 (20)47.478391
0.0667 (15)26.573452
0.0833 (12)188.847522
0.1 (10)78.814741
0.1167 (8.5714)19.635041
0.1333 (7.5)23.021307
0.15 (6.6667)20.850054
0.1667 (6)14.92012
0.1833 (5.4545)272.799502
0.2 (5)146.144187
0.2167 (4.6154)36.510901
0.2333 (4.2857)2.002192
0.25 (4)98.318933
0.2667 (3.75)279.651935
0.2833 (3.5294)311.983693
0.3 (3.3333)39.397151
0.3167 (3.1579)33.896594
0.3333 (3)56.571807
0.35 (2.8571)9.821257
0.3667 (2.7273)19.631606
0.3833 (2.6087)67.742517
0.4 (2.5)169.622888
0.4167 (2.4)8.17669
0.4333 (2.3077)122.656021
0.45 (2.2222)154.637529
0.4667 (2.1429)51.208909
0.4833 (2.069)58.758621
0.5 (2)2.831256

\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) & 0 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0167 (60) & 284.132144 \tabularnewline
0.0333 (30) & 77.437815 \tabularnewline
0.05 (20) & 47.478391 \tabularnewline
0.0667 (15) & 26.573452 \tabularnewline
0.0833 (12) & 188.847522 \tabularnewline
0.1 (10) & 78.814741 \tabularnewline
0.1167 (8.5714) & 19.635041 \tabularnewline
0.1333 (7.5) & 23.021307 \tabularnewline
0.15 (6.6667) & 20.850054 \tabularnewline
0.1667 (6) & 14.92012 \tabularnewline
0.1833 (5.4545) & 272.799502 \tabularnewline
0.2 (5) & 146.144187 \tabularnewline
0.2167 (4.6154) & 36.510901 \tabularnewline
0.2333 (4.2857) & 2.002192 \tabularnewline
0.25 (4) & 98.318933 \tabularnewline
0.2667 (3.75) & 279.651935 \tabularnewline
0.2833 (3.5294) & 311.983693 \tabularnewline
0.3 (3.3333) & 39.397151 \tabularnewline
0.3167 (3.1579) & 33.896594 \tabularnewline
0.3333 (3) & 56.571807 \tabularnewline
0.35 (2.8571) & 9.821257 \tabularnewline
0.3667 (2.7273) & 19.631606 \tabularnewline
0.3833 (2.6087) & 67.742517 \tabularnewline
0.4 (2.5) & 169.622888 \tabularnewline
0.4167 (2.4) & 8.17669 \tabularnewline
0.4333 (2.3077) & 122.656021 \tabularnewline
0.45 (2.2222) & 154.637529 \tabularnewline
0.4667 (2.1429) & 51.208909 \tabularnewline
0.4833 (2.069) & 58.758621 \tabularnewline
0.5 (2) & 2.831256 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30636&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]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]284.132144[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]77.437815[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]47.478391[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]26.573452[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]188.847522[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]78.814741[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]19.635041[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]23.021307[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]20.850054[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]14.92012[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]272.799502[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]146.144187[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]36.510901[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]2.002192[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]98.318933[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]279.651935[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]311.983693[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]39.397151[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]33.896594[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]56.571807[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]9.821257[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]19.631606[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]67.742517[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]169.622888[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]8.17669[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]122.656021[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]154.637529[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]51.208909[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]58.758621[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]2.831256[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30636&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30636&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)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0167 (60)284.132144
0.0333 (30)77.437815
0.05 (20)47.478391
0.0667 (15)26.573452
0.0833 (12)188.847522
0.1 (10)78.814741
0.1167 (8.5714)19.635041
0.1333 (7.5)23.021307
0.15 (6.6667)20.850054
0.1667 (6)14.92012
0.1833 (5.4545)272.799502
0.2 (5)146.144187
0.2167 (4.6154)36.510901
0.2333 (4.2857)2.002192
0.25 (4)98.318933
0.2667 (3.75)279.651935
0.2833 (3.5294)311.983693
0.3 (3.3333)39.397151
0.3167 (3.1579)33.896594
0.3333 (3)56.571807
0.35 (2.8571)9.821257
0.3667 (2.7273)19.631606
0.3833 (2.6087)67.742517
0.4 (2.5)169.622888
0.4167 (2.4)8.17669
0.4333 (2.3077)122.656021
0.45 (2.2222)154.637529
0.4667 (2.1429)51.208909
0.4833 (2.069)58.758621
0.5 (2)2.831256


Figures (Output of Computation)

Input Parameters & R Code

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