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Data:
3996.1 3984.2 4049 4032.8 4074.1 4114.4 4091.4 4166.6 4152.5 4112.7 4145.9 4174.4 4183.6 4172.5 4280.3 4327.4 4251.2 4256.5 4285.7 4257.4 4231.9 4274.3 4248.3 4310.5 4301.9 4336.5 4385.1 4310.4 4378.8 4338 4304.2 4266.9 4230.1 4230.6 4353.2 4371.2 4393.2 4250.2 4129.5 4124.9 4177.1 4156.9 4111.9 4167.4 4190.7 4165 4209.8 4250 4224.8 4322.7 4311.7 4373.8 4358.9 4441.2 4538.9 4444.8 4537.8 4490.2 4517.3 4561.9 4567 4588.3 4656.8 4677.7 4684.2 4752.8 4738.9 4785.6 4742.7 4711.4 4758.1 4800.5 4877.3 4885 4941.4 5009.4 5017.5 4984.1 4903.9 4968.6 4937.3 4987.1 5001.9 5094.6 5177.8 5206.1 5253.1 5284.3 5266.8 5225.1 5272.8 5529.8 5535.2 5715.9 5672.2 5475.7 5435.3 5458.5 5373.3 5395.3 5515 5410.9 5400.2 5424.2 5388.5 5482.1 5506.9 5377.2 5353.5 5401.1 5438.1 5510.2 5499 5606.5 5644 5440.7
Box-Cox transformation parameter
Default
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
0
1
2
3
4
12
Chart options
R Code
par4 <- '12' par3 <- '0' par2 <- '2' 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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R Server
Big Analytics Cloud Computing Center
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