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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 computationSat, 27 Nov 2010 10:09:17 +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/27/t1290852440y3imbo6qqk1skjd.htm/, Retrieved Mon, 29 Apr 2024 12:58:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=102333, Retrieved Mon, 29 Apr 2024 12:58:23 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Meervoudig regres...] [2010-11-26 11:15:52] [2960375a246cc0628590c95c4038a43c]
- RMPD    [Spectral Analysis] [Spectraalanalyse] [2010-11-27 10:09:17] [8eb352cba3cf694c3df89d0a436a2f1b] [Current]
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Dataseries X:
16198.9	16896.2	0
16554.2	16698.00	0
19554.2	19691.6	0
15903.8	15930.7	0
18003.8	17444.6	0
18329.6	17699.4	0
16260.7	15189.8	0
14851.9	15672.7	0
18174.1	17180.8	0
18406.6	17664.9	0
18466.5	17862.9	0
16016.5	16162.3	0
17428.5	17463.6	0
17167.2	16772.1	0
19630.00	19106.9	0
17183.6	16721.3	0
18344.7	18161.3	0
19301.4	18509.9	0
18147.5	17802.7	0
16192.9	16409.9	0
18374.4	17967.7	0
20515.2	20286.6	0
18957.2	19537.3	0
16471.5	18021.9	0
18746.8	20194.3	0
19009.5	19049.6	0
19211.2	20244.7	0
20547.7	21473.3	0
19325.8	19673.6	0
20605.5	21053.2	0
20056.9	20159.5	0
16141.4	18203.6	0
20359.8	21289.5	0
19711.6	20432.3	1
15638.6	17180.4	1
14384.5	15816.8	1
13855.6	15071.8	1
14308.3	14521.1	1
15290.6	15668.8	1
14423.8	14346.9	1
13779.7	13881.00	1
15686.3	15465.9	1
14733.8	14238.2	1
12522.5	13557.7	1
16189.4	16127.6	1
16059.1	16793.9	1
16007.1	16014.00	1
15806.8	16867.9	1
15160.00	16014.6	0
15692.1	15878.6	0
18908.9	18664.9	0
16969.9	17962.5	0
16997.5	17332.7	0
19858.9	19542.1	0
17681.2	17203.6	0




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=102333&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=102333&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102333&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



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