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Data:
-1.546 1.96 0.9041 0.5292 -1.222 3.157 -0.248 2.354 -1.646 -0.7949 2.231 4.328 0.2355 -1.345 -2.769 -0.3448 -0.769 -1.516 -5.918 1.555 2.157 -0.09593 -2.092 1.105 0.8303 4.004 -0.3925 2.354 3.354 -10.12 1.73 -1.092 -1.594 -0.8426 1.105 -0.3448 -1.646 0.9041 3.458 2.904 -9.646 -3.222 0.3308 1.655 1.406 -0.8947 0.2829 2.581 0.5057 -3.895 -0.09593 -3.17 -5.144 0.3541 1.454 1.205 0.2049 -0.04375 -1.743 -2.39 0.9821 -2.345 4.454 -2.821 -3.646 1.335 -1.921 4.056 1.231 -0.6953 0.8042 2.904 -0.7951 -2.843 0.3541 0.9344 -3.594 1.058 1.354 3.354 -1.345 -1.594 -1.791 3.458 -2.642 1.804 1.157 0.9083 -1.345 3.209 0.3541 -4.646 1.458 1.361 3.354 -0.1958 -1.542 -0.3448 1.105 1.904 -2.717 -0.672 -3.546 1.254 -2.345 1.157 0.3541 0.1351 2.804 -0.6459 -1.869 -0.9208 1.354 2.608 0.9041 0.9041 0.532 0.7069 -1.222 0.3541 1.904 0.7074 2.908 -2.267 -1.642 -0.672 1.209 -1.044 0.3065 3.209 2.354 -3.642 1.004 -1.096 0.1572 1.28 5.354 -0.3925 1.707 -0.7949 -0.5417 -5.293 -1.345 2.878 0.9041 0.454 -4.241 2.956 0.6592 -0.546 1.856 1.157 0.454 -0.3448 0.07916 -2.121
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
0
0
1
2
Degree (D) of seasonal differencing
0
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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R Server
Big Analytics Cloud Computing Center
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