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Data:
4751.5 4649.2 4664.9 4691.3 4713.7 4772.8 4748.9 4801 4891.9 4891.9 4903.5 4976.4 5009.8 4946.4 4981.9 5013.8 5015.5 5070.7 5000.9 5059.1 5156.8 5002.6 5059.1 5164.1 5087.9 5140.8 5192.8 5177.6 5167.8 5248.4 5097.5 5187.3 5261.5 5179.7 5205.6 5353.3 5425.7 5215.2 5215.6 5216.4 5208.2 5237.5 5175 5300.2 5279.3 5262.6 5220.5 5372.1 5406 5317.2 5258.4 5204.2 5304.2 5300.2 5228.8 5303.3 5296 5341.1 5354.8 5447.8 5405.6 5333.4 5291.9 5414.4 5317.2 5380.5 5431.5 5363.5 5435.4 5499.8 5447.4 5633 5617.4 5567.8 5574 5710.4 5583.1 5610.8 5620.1 5759.4 5838.7 5843.3 5821 5895.1 5881.6 5827.7 5865.9 5918.4 5875.2 6078.4 5986.3 6019.7 6255.7 6128.4 6210 6301.8 6305.7 6261.2 6200.5 6185.5 6237.4 6399 6182.5 6292.3 6419.8 6273.7 6344.8 6490.4 6355.4 6383.1 6377.3 6324.9 6342.2 6364.1 6249.5 6439.2 6409.4
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
1
0
1
2
Degree (D) of seasonal differencing
0
0
1
2
Seasonal Period
1
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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R Server
Big Analytics Cloud Computing Center
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