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Data:
5572.3 5565.55 5576.85 5577.3 5598.85 5752.55 5782.2 5763 5694.6 5686.85 5691.6 5674.15 5635.55 5652.6 5675.7 5692.25 5747.05 5854.15 5894.8 5839.4 5778.15 5797.75 5790.7 5786.3 5758.6 5764.75 5804.75 5801.35 5829.75 5913.7 5962 5920.25 5879.1 5902.3 5889.95 5873.9 5856.1 5870.8 5900.1 5900.6 5944.3 6066.2 6098.75 6058.4 5998 6022.4 6018.7 5989.95 5972.55 5985.35 6004.45 6004.1 6071.05 6143.55 6191.25 6167.5 6081.35 6124.25 6118.3 6097.8 6074.55 6083.9 6084.65 6099.8 6124.45 6235.65 6278.05 6254.4 6177.3 6205.95 6217.2 6190.8 6189.55 6179.5 6195.35 6213 6243.45 6361.75 6395.2 6356.6 6276.5 6306.25 6318.4 6284.9 6249.5 6256 6272.9 6273.65 6313.95 6396.85 6426.35 6382.6 6319 6329.5 6321.8 6312.35 6260 6283.6 6295.15 6309.15 6315.75 6427.95 6446.55 6385.65 6351.45 6359.1 6350.05 6335.6 6333.55 6348.55 6369.1 6372.75 6413.95 6528.6 6558.4 6501.95 6430.5
Box-Cox transformation parameter
1
1
-2.0
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
-1.3
-1.2
-1.1
-1.0
-0.9
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
Degree (d) of non-seasonal differencing
0
1
2
Degree (D) of seasonal differencing
0
1
2
Seasonal Period
1
2
3
4
12
Chart options
R Code
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')
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Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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