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Data:
4070 4229.2 3775.2 3584.2 5248 4182.4 4119 4082.4 3639.8 4020.6 4089.6 4373.6 4143.2 4604 4336.4 3953.6 4591.6 4272.4 3911.2 3911.2 4306.2 4280.2 4270.6 4387.8 4282.8 4534 4400.6 4282.8 5135.8 4524 4875.6 4593.8 4447.8 4406.6 5148.2 6357.6 4503.2 4688.2 4682.2 5012.6 5505.4 4871.8 4909.6 5025.6 4946.8 4943.6 5712.4 6932.4 5201.8 5247 4873.6 4854.8 5626.4 4769.4 4713.2 4762.4 5333.2 4960.8 4708.8 5490 4650.4 4376 4397.2 4318.6 4207.4 4488.6 4520 4358.8 4142.4 4052.8 4413.4 4837.4 3882.6 4672 3790 3713.4 5199.2 4016.2 3849.2 3903.4 3901.2 3943.2 4209.8 4850.2 4256.6 4479.6 3914 3849.4 4768 3944 4002.2 3768 4330.8 4109 3983 5666.8 3783 3599 3796.8 3663.8 4572.8 3914.6 3604 3777.4 3848.6 4110.6 4500.6 4701.6 4026 4415.4 4200.8 4325.8 4991.8 4244.2 4146.2 4109.2
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
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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