Free Statistics

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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, 14 Dec 2014 21:20:19 +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/2014/Dec/14/t1418592041neeg3bynfnuu79x.htm/, Retrieved Thu, 16 May 2024 16:58:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267890, Retrieved Thu, 16 May 2024 16:58:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Classical Decomposition] [KUL paper CD vrou...] [2014-12-14 20:44:21] [bb1b6762b7e5624d262776d3f7139d34]
- RMPD  [Spectral Analysis] [KUl paper SP vrou...] [2014-12-14 20:50:58] [bb1b6762b7e5624d262776d3f7139d34]
- R       [Spectral Analysis] [KUL paper vrouw s...] [2014-12-14 20:52:17] [bb1b6762b7e5624d262776d3f7139d34]
- R P         [Spectral Analysis] [KUl paper SP vrou...] [2014-12-14 21:20:19] [8568a324fefbb8dbb43f697bfa8d1be6] [Current]
- R             [Spectral Analysis] [KUL paper SP vro...] [2014-12-14 21:21:51] [bb1b6762b7e5624d262776d3f7139d34]
- RMP           [Classical Decomposition] [KUl paper CD test ] [2014-12-14 21:36:33] [bb1b6762b7e5624d262776d3f7139d34]
- RM              [Exponential Smoothing] [Kul paper ES2 vrouw] [2014-12-14 21:52:03] [bb1b6762b7e5624d262776d3f7139d34]
- R                 [Exponential Smoothing] [Kul paper ES2 vrouw2] [2014-12-14 21:53:13] [bb1b6762b7e5624d262776d3f7139d34]
- RM                [ARIMA Backward Selection] [Kul paper ARIMA 1...] [2014-12-14 22:30:59] [bb1b6762b7e5624d262776d3f7139d34]
- R  D                [ARIMA Backward Selection] [Kul paper ARIMA 1...] [2014-12-14 22:36:50] [bb1b6762b7e5624d262776d3f7139d34]
- R                     [ARIMA Backward Selection] [Kul paper ARIMA v...] [2014-12-14 22:38:10] [bb1b6762b7e5624d262776d3f7139d34]
-   P                     [ARIMA Backward Selection] [Kul paper berkeni...] [2014-12-18 15:19:26] [bb1b6762b7e5624d262776d3f7139d34]
- RM D                  [Central Tendency] [KUL paper central...] [2014-12-14 23:14:31] [bb1b6762b7e5624d262776d3f7139d34]
- RM D                  [Skewness and Kurtosis Test] [Paper KUL arima s...] [2014-12-14 23:25:23] [bb1b6762b7e5624d262776d3f7139d34]
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Dataseries X:
7.5
NA
6.5
NA
NA
NA
8.5
NA
NA
NA
NA
NA
NA
5
2.5
5
NA
3.5
NA
4
NA
NA
4.5
NA
NA
NA
NA
7
NA
5.5
2.5
5.5
NA
NA
NA
NA
4.5
NA
NA
5
NA
NA
NA
NA
NA
4.5
NA
NA
7.5
NA
NA
NA
NA
NA
NA
NA
0
NA
3.5
NA
NA
6
1.5
NA
3.5
NA
4
NA
NA
6
5
5.5
3.5
NA
6.5
6.5
NA
7
3.5
NA
4
7.5
4.5
NA
3.5
NA
NA
4.5
2.5
7.5
NA
NA
NA
3
NA
3.5
NA
NA
NA
NA
NA
4.5
NA
NA
NA
2.5
7
0
1
3.5
5.5
NA
NA
NA
NA
NA
8.5
NA
NA
10
NA
8.5
9
NA
NA
NA
NA
NA
NA
NA
NA
7.5
NA
NA
NA
NA
NA
NA
9
NA
NA
NA
NA
NA
8
9
NA
7
5.5
NA
2
NA
NA
8.5
NA
NA
NA
9
7.5
6
10.5
NA
8
NA
10.5
NA
9.5
NA
7.5
5
NA
10
NA
NA
NA
NA
NA
10
NA
3
6
7
NA
7
NA
8
10
5.5
6
NA
NA
NA
NA
9.5
8
NA
5.5
7
9
8
NA
NA
6
8
NA
9
NA
NA
9.5
NA
NA
NA
5
7
8
NA
NA
NA
NA
8
8.5
3.5
NA
NA
10.5
8.5
8
NA
NA
9.5
9
10
NA
NA
NA
NA
6.5
NA
NA
NA
6
4
NA
10.5
NA
NA
8.5
NA
7
NA
NA
5
NA
8.5
NA
9.5
NA
1.5
6
NA
NA
7.5
NA
NA
9
NA
8.5
7
NA
NA
9.5
NA
8
9.5
NA
8
9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Engine error message
Error in na.fail.default(as.ts(x)) : missing values in object
Calls: spectrum -> spec.pgram -> na.action -> na.fail.default
Execution halted

\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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Engine error message & 
Error in na.fail.default(as.ts(x)) : missing values in object
Calls: spectrum -> spec.pgram -> na.action -> na.fail.default
Execution halted
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=267890&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in na.fail.default(as.ts(x)) : missing values in object
Calls: spectrum -> spec.pgram -> na.action -> na.fail.default
Execution halted
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=267890&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267890&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 time5 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Engine error message
Error in na.fail.default(as.ts(x)) : missing values in object
Calls: spectrum -> spec.pgram -> na.action -> na.fail.default
Execution halted



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