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Data:
6747.7 6642.2 6600.6 6812.8 6759.6 6754.4 6864.7 6876.6 6870.2 6888.9 6876.4 7033 5161.8 5091.3 5091.5 5196.5 5105.3 4963 4883.4 5051.1 5140.2 5014.2 4887 5078.7 5171.4 5008.7 4989 5186.4 5271.2 5231.2 5286.3 5630.8 5636.4 5757.2 6199.5 8451.6 8022.6 7671.3 7355 7381.2 7247.5 7267.8 7386.7 7887 8137.6 7708.1 7661.4 7666.9 7240 7154.6 7126.2 7355.1 7230.3 7298.5 7151.8 7150 7156.6 7138 7307.6 7328.9 7382.8 7292.2 7320.7 7265.9 7295.2 7314.8 7295.3 7267.2 7265.5 7284.5 7329.7 7217.3 7261.2 7223.7 7200 7171.7 7267 7165.1 7146.4 7065.2 6979.7 6836.6 6646.8 6679.3 6694.4 6694.1 6507.6 6372.6 6338.6 6249.4 6170.7 6232.3 6172.3 6110.5 6016.6 6111.6 6079.3 6054.4 5999.4 5868.2 5769.2 5809.2 5671 5640.8 5643.1 5639.9 5632.7 5721 5542.6 5442.3 5424.7 5450.8 5334.9 5279 5400.1 5538.1
Box-Cox transformation parameter
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
par4 <- '12' par3 <- '0' par2 <- '0' par1 <- '1' 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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Big Analytics Cloud Computing Center
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