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Data:
5750.5 3881.6 4350.4 6623.4 3375.5 6651.7 4394.8 4968.3 6355.6 4515.7 4620 5804.4 6254.4 4788.6 4446.4 8018 3745.9 6928.2 5201.7 5520.9 6801.9 5225.1 5149.4 6240.4 7045.4 5402.1 4960.6 9459.3 3979.4 7215.1 5797 5577.6 7380.8 5788.6 5116.3 6819.3 7671 5337 4955.7 9143.8 4624.6 7702.4 6297.4 5652.3 7801.3 5901.2 5296.7 7803.5 8177.1 5546.3 5651.5 12289.7 4769.1 8294.5 6422.3 6021.3 9241 6229.5 5691.5 8546.9 8174 6027.9 6566.4 10926.6 5963.5 9914 6063.1 6939 9774.2 6358.2 6432 9365.5 8930.6 6189.7 6820.5 12889.2 7102.5 10824.9 6619.1 7613.6 9923.3 6842.6 7121.3 8913 9952.4 6514.1 6480.5 13960.4 6918.6 11060.1 7232.9 7846.2 10293.9 7698.6 7050.7 10190 10071.3 6765.7 6480.5 14038 6356 10338.9 7859.3 7642.6 10935 7806.5 7309.5 10363.6 10403.1 6274.7 7212.7 13835.1 6218.4 12087.8 7905 7810.1
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
periodic
0
1
2
Degree (D) of seasonal differencing
0
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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0 seconds
R Server
Big Analytics Cloud Computing Center
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