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Data:
9.1 9.27 9.59 10.64 12.17 12.81 12.33 11.92 11.92 12.17 12.33 10.39 10.96 11.44 11.36 11.84 11.2 12.17 11.92 11.92 12.73 12.89 15.47 17 14.91 13.62 12.89 12.33 12.33 11.36 10.96 11.36 10.15 9.35 9.59 9.59 9.67 9.19 9.02 8.94 8.38 8.3 8.14 8.3 8.54 9.02 9.27 9.02 9.02 8.38 8.46 7.9 7.17 7.25 7.33 7.41 7.98 7.65 7.41 7.57 7.41 7.49 7.49 8.14 8.38 8.22 8.46 7.98 8.06 8.06 8.54 9.75 12.17 15.23 15.79 15.39 14.34 13.78 13.21 12.65 11.84 11.84 11.6 11.04 10.64 10.39 10.15 9.67 9.67 9.91 9.91 9.91 9.71 9.51 9.32 9.12 9.22 9.22 8.92 8.82 8.82 8.82 8.72 8.34 8.14 8.14 8.04 8.04 8.04 8.14 8.24 8.34 8.53 8.63 8.53 8.72 9.11 8.92 8.82 9.21 9.21 9.4 9.6 9.69 9.74 10.64 12.82 15.06 17.3 20.04 17.9 16.77 17.07 17.1 17.53 17.7 17.37 17.13 17.13 16.7 15.23 13.66 12.96 13.39 13.73 13.86 14.36 14.09 13.89 14.03 14.73 16.3 17.3 17.6 18 19.54 22.34 24.08 23.85 24.08 25.98 26.55 26.75 26.88 26.78 27.18 28.15 28.92 29.16 29.62 29.92 30.26 30.62 31.03 31.56 32.46 33.4 34.8 36.67 38.84 40.51 41.85 44.45 49.33 53.84 56.94 60.61 65.22 72.57 82.38 90.93 96.5 99.6 103.9 107.6 109.6 113.6 118.3 124 130.7 136.2 140.3 144.5 148.2 152.4 156.9 160.5 163 166.6 172.2 177.1 179.9 184 188.9 195.3 201.6 207.34 215.3 214.54
Box-Cox transformation parameter
1
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
1
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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