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Data:
0.24 0.23 0.23 0.24 0.23 0.23 0.25 0.21 0.26 0.25 0.24 0.24 0.27 0.25 0.26 0.29 0.24 0.26 0.24 0.26 0.25 0.26 0.24 0.21 0.20 0.22 0.20 0.21 0.20 0.19 0.20 0.20 0.21 0.24 0.22 0.19 0.23 0.23 0.23 0.22 0.23 0.25 0.25 0.22 0.25 0.25 0.24 0.19 0.24 0.26 0.24 0.24 0.25 0.23 0.27 0.24 0.26 0.27 0.29 0.28 0.32 0.29 0.27 0.26 0.28 0.31 0.29 0.31 0.31 0.32 0.32 0.26 0.31 0.31 0.31 0.31 0.29 0.27 0.30 0.27 0.27 0.30 0.28 0.24 0.28 0.28 0.33 0.28 0.29 0.25 0.31 0.29 0.37 0.31 0.29 0.28 0.30 0.32 0.31 0.28 0.29 0.29 0.28 0.26 0.28 0.30 0.33 0.31 0.37 0.36 0.37 0.37 0.36 0.33 0.33 0.40 0.32 0.39 0.39 0.37 0.37 0.30 0.33 0.33 0.34 0.35 0.34 0.37 0.37 0.37 0.36 0.32 0.33 0.35 0.36 0.35 0.37 0.35 0.32 0.33 0.28 0.32 0.35 0.30 0.32 0.32 0.32 0.32 0.36 0.31 0.26 0.33 0.31 0.34 0.33 0.38 0.32 0.30 0.32 0.33 0.34 0.29 0.33 0.36 0.32 0.32 0.32 0.31 0.30 0.34 0.34 0.30 0.28 0.25 0.27 0.33 0.28 0.33 0.32 0.27 0.27 0.28 0.27 0.27 0.25 0.25 0.22 0.27
Box-Cox transformation parameter
1.0
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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Big Analytics Cloud Computing Center
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