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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 computationSun, 20 Dec 2009 07:01:53 -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/Dec/20/t1261317945ovrnnunajqphi22.htm/, Retrieved Sat, 27 Apr 2024 08:01:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69889, Retrieved Sat, 27 Apr 2024 08:01:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Spectrum 2] [2009-12-20 14:01:53] [e458b4e05bf28a297f8af8d9f96e59d6] [Current]
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Dataseries X:
210
220
212
191
180
195
136
196
182
166
147
125
164
170
171
140
155
156
141
167
171
206
187
124
163
154
226
125
162
145
98
128
159
209
150
125
214
193
140
205
192
192
186
150
246
282
264
336
301
376
416
344
326
351
249
258
311
343
278




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=69889&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=69889&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69889&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'Gwilym Jenkins' @ 72.249.127.135







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)253.547111
0.0333 (30)718.781256
0.05 (20)368.00766
0.0667 (15)1313.169722
0.0833 (12)1465.932496
0.1 (10)378.551886
0.1167 (8.5714)315.176745
0.1333 (7.5)349.49104
0.15 (6.6667)852.392759
0.1667 (6)3114.539874
0.1833 (5.4545)46.821475
0.2 (5)245.412755
0.2167 (4.6154)1839.170978
0.2333 (4.2857)536.79597
0.25 (4)8087.593364
0.2667 (3.75)872.607362
0.2833 (3.5294)3599.05352
0.3 (3.3333)2260.575647
0.3167 (3.1579)69.32257
0.3333 (3)1513.984685
0.35 (2.8571)6878.295769
0.3667 (2.7273)5287.287224
0.3833 (2.6087)7101.241624
0.4 (2.5)1417.250415
0.4167 (2.4)3838.611358
0.4333 (2.3077)4937.075204
0.45 (2.2222)412.913767
0.4667 (2.1429)738.374565
0.4833 (2.069)3246.955054
0.5 (2)135.993309

\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) & 253.547111 \tabularnewline
0.0333 (30) & 718.781256 \tabularnewline
0.05 (20) & 368.00766 \tabularnewline
0.0667 (15) & 1313.169722 \tabularnewline
0.0833 (12) & 1465.932496 \tabularnewline
0.1 (10) & 378.551886 \tabularnewline
0.1167 (8.5714) & 315.176745 \tabularnewline
0.1333 (7.5) & 349.49104 \tabularnewline
0.15 (6.6667) & 852.392759 \tabularnewline
0.1667 (6) & 3114.539874 \tabularnewline
0.1833 (5.4545) & 46.821475 \tabularnewline
0.2 (5) & 245.412755 \tabularnewline
0.2167 (4.6154) & 1839.170978 \tabularnewline
0.2333 (4.2857) & 536.79597 \tabularnewline
0.25 (4) & 8087.593364 \tabularnewline
0.2667 (3.75) & 872.607362 \tabularnewline
0.2833 (3.5294) & 3599.05352 \tabularnewline
0.3 (3.3333) & 2260.575647 \tabularnewline
0.3167 (3.1579) & 69.32257 \tabularnewline
0.3333 (3) & 1513.984685 \tabularnewline
0.35 (2.8571) & 6878.295769 \tabularnewline
0.3667 (2.7273) & 5287.287224 \tabularnewline
0.3833 (2.6087) & 7101.241624 \tabularnewline
0.4 (2.5) & 1417.250415 \tabularnewline
0.4167 (2.4) & 3838.611358 \tabularnewline
0.4333 (2.3077) & 4937.075204 \tabularnewline
0.45 (2.2222) & 412.913767 \tabularnewline
0.4667 (2.1429) & 738.374565 \tabularnewline
0.4833 (2.069) & 3246.955054 \tabularnewline
0.5 (2) & 135.993309 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69889&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]253.547111[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]718.781256[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]368.00766[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]1313.169722[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]1465.932496[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]378.551886[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]315.176745[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]349.49104[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]852.392759[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]3114.539874[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]46.821475[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]245.412755[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]1839.170978[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]536.79597[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]8087.593364[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]872.607362[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]3599.05352[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]2260.575647[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]69.32257[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]1513.984685[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]6878.295769[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]5287.287224[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]7101.241624[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]1417.250415[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]3838.611358[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]4937.075204[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]412.913767[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]738.374565[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]3246.955054[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]135.993309[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69889&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69889&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)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0167 (60)253.547111
0.0333 (30)718.781256
0.05 (20)368.00766
0.0667 (15)1313.169722
0.0833 (12)1465.932496
0.1 (10)378.551886
0.1167 (8.5714)315.176745
0.1333 (7.5)349.49104
0.15 (6.6667)852.392759
0.1667 (6)3114.539874
0.1833 (5.4545)46.821475
0.2 (5)245.412755
0.2167 (4.6154)1839.170978
0.2333 (4.2857)536.79597
0.25 (4)8087.593364
0.2667 (3.75)872.607362
0.2833 (3.5294)3599.05352
0.3 (3.3333)2260.575647
0.3167 (3.1579)69.32257
0.3333 (3)1513.984685
0.35 (2.8571)6878.295769
0.3667 (2.7273)5287.287224
0.3833 (2.6087)7101.241624
0.4 (2.5)1417.250415
0.4167 (2.4)3838.611358
0.4333 (2.3077)4937.075204
0.45 (2.2222)412.913767
0.4667 (2.1429)738.374565
0.4833 (2.069)3246.955054
0.5 (2)135.993309



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')