Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationSat, 06 Dec 2008 04:19:31 -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/06/t1228562395ynsums8vpjpbnio.htm/, Retrieved Thu, 31 Oct 2024 22:55:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29506, Retrieved Thu, 31 Oct 2024 22:55:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
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]
F RMPD    [Spectral Analysis] [Spectral Analysis] [2008-12-06 11:19:31] [72e979bcc364082694890d2eccc1a66f] [Current]
Feedback Forum
2008-12-16 21:00:48 [Sofie Mertens] [reply
Goed antwoord.

Post a new message
Dataseries X:
345
334
345
333
336
324
320
330
313
301
288
294
302
294
293
290
283
286
293
334
329
411
416
418
408
402
401
400
389
371
364
350
332
323
316
312
315
314
313
314
317
308
312
306
304
297
284
278
273
265
259
252
245
235
232
229
219
218
215
211




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=29506&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=29506&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29506&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)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0167 (60)185.035212
0.0333 (30)538.149966
0.05 (20)1103.32584
0.0667 (15)320.153148
0.0833 (12)102.568557
0.1 (10)170.948317
0.1167 (8.5714)254.563023
0.1333 (7.5)323.656691
0.15 (6.6667)135.687255
0.1667 (6)36.470988
0.1833 (5.4545)52.879204
0.2 (5)127.83527
0.2167 (4.6154)206.637316
0.2333 (4.2857)21.374601
0.25 (4)35.922443
0.2667 (3.75)86.16033
0.2833 (3.5294)84.442017
0.3 (3.3333)113.823503
0.3167 (3.1579)49.049807
0.3333 (3)265.818411
0.35 (2.8571)166.722841
0.3667 (2.7273)42.471799
0.3833 (2.6087)67.911732
0.4 (2.5)185.693654
0.4167 (2.4)519.665625
0.4333 (2.3077)340.896489
0.45 (2.2222)154.093902
0.4667 (2.1429)311.226672
0.4833 (2.069)408.651752
0.5 (2)219.326786

\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) & 185.035212 \tabularnewline
0.0333 (30) & 538.149966 \tabularnewline
0.05 (20) & 1103.32584 \tabularnewline
0.0667 (15) & 320.153148 \tabularnewline
0.0833 (12) & 102.568557 \tabularnewline
0.1 (10) & 170.948317 \tabularnewline
0.1167 (8.5714) & 254.563023 \tabularnewline
0.1333 (7.5) & 323.656691 \tabularnewline
0.15 (6.6667) & 135.687255 \tabularnewline
0.1667 (6) & 36.470988 \tabularnewline
0.1833 (5.4545) & 52.879204 \tabularnewline
0.2 (5) & 127.83527 \tabularnewline
0.2167 (4.6154) & 206.637316 \tabularnewline
0.2333 (4.2857) & 21.374601 \tabularnewline
0.25 (4) & 35.922443 \tabularnewline
0.2667 (3.75) & 86.16033 \tabularnewline
0.2833 (3.5294) & 84.442017 \tabularnewline
0.3 (3.3333) & 113.823503 \tabularnewline
0.3167 (3.1579) & 49.049807 \tabularnewline
0.3333 (3) & 265.818411 \tabularnewline
0.35 (2.8571) & 166.722841 \tabularnewline
0.3667 (2.7273) & 42.471799 \tabularnewline
0.3833 (2.6087) & 67.911732 \tabularnewline
0.4 (2.5) & 185.693654 \tabularnewline
0.4167 (2.4) & 519.665625 \tabularnewline
0.4333 (2.3077) & 340.896489 \tabularnewline
0.45 (2.2222) & 154.093902 \tabularnewline
0.4667 (2.1429) & 311.226672 \tabularnewline
0.4833 (2.069) & 408.651752 \tabularnewline
0.5 (2) & 219.326786 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29506&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]185.035212[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]538.149966[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]1103.32584[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]320.153148[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]102.568557[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]170.948317[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]254.563023[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]323.656691[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]135.687255[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]36.470988[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]52.879204[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]127.83527[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]206.637316[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]21.374601[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]35.922443[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]86.16033[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]84.442017[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]113.823503[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]49.049807[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]265.818411[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]166.722841[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]42.471799[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]67.911732[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]185.693654[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]519.665625[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]340.896489[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]154.093902[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]311.226672[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]408.651752[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]219.326786[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29506&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29506&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)185.035212
0.0333 (30)538.149966
0.05 (20)1103.32584
0.0667 (15)320.153148
0.0833 (12)102.568557
0.1 (10)170.948317
0.1167 (8.5714)254.563023
0.1333 (7.5)323.656691
0.15 (6.6667)135.687255
0.1667 (6)36.470988
0.1833 (5.4545)52.879204
0.2 (5)127.83527
0.2167 (4.6154)206.637316
0.2333 (4.2857)21.374601
0.25 (4)35.922443
0.2667 (3.75)86.16033
0.2833 (3.5294)84.442017
0.3 (3.3333)113.823503
0.3167 (3.1579)49.049807
0.3333 (3)265.818411
0.35 (2.8571)166.722841
0.3667 (2.7273)42.471799
0.3833 (2.6087)67.911732
0.4 (2.5)185.693654
0.4167 (2.4)519.665625
0.4333 (2.3077)340.896489
0.45 (2.2222)154.093902
0.4667 (2.1429)311.226672
0.4833 (2.069)408.651752
0.5 (2)219.326786



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 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')