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Data:
4526.1 4616.8 4558 4736.8 4771.1 4611.3 4687.1 4718.3 4731.6 4755.4 4849.8 4697.8 4720.2 4741.1 4794.2 4807.4 4836.9 4853 4902.9 4938 4910.4 4954.6 4937.3 5003.8 5005.6 4984.4 5050 5017.7 4984.8 5036.3 5093.6 5111.2 5090.7 5063.7 5007.5 5122.5 5172.3 5232.8 5183.3 5204.6 5255.4 5294.5 5308.9 5281.3 5413.9 5462.4 5568.7 5579.1 5590.3 5703.2 5717.7 5772.3 5876.6 6134.6 6155.6 6259.5 6180.7 6120.3 6097 6167.5 6207.1 6181.7 6196.2 6183.9 6184 6271.1 6204.9 6284.5 6293.9 6377.9 6400.2 6456.2 6372.8 6368.8 6497.8 6599.4 6696.9 6676.3 6731.7 6732.3 6760.2 6841.4 6917.5 6899.3 6972.9 6969.2 6941.6 6905.5 6971.3 6968.4 7012.2 7049.5 7095.6 7237.5 7230.5 7253.5 7289.4 7364.6 7428.1 7390.2 7279.9 7426.5 7480.1
Box-Cox transformation parameter
12
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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Big Analytics Cloud Computing Center
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