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Data:
3904.45 4137.2 4334.5 4188.6 4304.1 4570.45 4178.85 4515.15 4740.55 4582.2 4493.6 4437 4294 4581.35 4780.15 4632 4648.2 4834.85 4465.25 4671.65 4871.3 4707.8 4580.45 4562.25 4329.7 4646.1 4844.1 4623 4707.2 4844.9 4436.75 4680.85 4873.8 4735.15 4681.9 4607 4436.4 4614.1 4619.25 4507.1 4515.85 4725.4 4250.85 4591.6 4898.15 4675.45 4568.95 4531.05 4387.35 4826.1 4954.35 4814.85 4821.55 5148.05 4810.75 4988.05 5322.65 5157 5006.65 4910.2 4764.05 5093.7 5312.2 5157.6 5192.4 5546.6 5092.05 5423.25 5647.2 5450.05 5360.3 5309.25 5181 5488.6 5668.15 5560.8 5590.45 5850.7 5252.2 5626.1 5819.8 5676.35 5525.5 5359.55 5296.85 5623.75 5899.3 5672.6 5724.75 5995.1 5475.2 6143.95 6366.95 6306.1 6077 5672.4 5458.6 5716.9 5828.1 5706.85 5888.3 6007.7 5581.85 5970.95 6190.4 6079.15 5902.2 5554.4 5320.45 5683.1 5987.9 5843.7 5917.5 6299.45 5846.75 5998.1
Box-Cox transformation parameter
0.0
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
1
0
1
2
Seasonal Period
12
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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Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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