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Data:
153.3 154.5 155.2 156.9 157 157.4 157.2 157.5 158 158.5 159 159.3 160 160.8 161.9 162.5 162.7 162.8 162.9 163 164 164.7 164.8 164.9 165 165.8 166.1 167.2 167.7 168.3 168.6 168.9 169.1 169.5 169.6 169.7 169.8 170.4 170.9 171.9 171.9 172 172 172.4 173 173.7 173.8 173.8 173.9 174.6 175 175.9 176 175.1 175.6 175.9 176.7 176.1 176.1 176.2 176.3 177.8 178.5 179.4 179.5 179.6 179.7 179.7 179.8 179.9 180.2 180.4 180.4 181.3 181.9 182.5 182.7 183.1 183.6 183.7 183.8 183.9 184.1 184.4 184.5 185.9 186.6 187.6 187.8 187.9 188 188.3 188.4 188.5 188.5 188.6 188.6 189.4 190 191.9 192.5 193 193.5 193.9 194.2 194.9 194.9 194.9 194.9 195.5 196 196.2 196.2 196.2 196.2 197 197.7 198 198.2 198.5 198.6 199.5 200 201.3 202.2 202.9 203.5 203.5 204 204.1 204.3 204.5 204.8 205.1 205.7 206.5 206.9 207.1 207.8 208 208.5 208.6 209 209.1 209.7 209.8 209.9 210 210.8 211.4 211.7 212 212.2 212.4 212.9 213.4 213.7 214 214.3 214.8 215 215.9 216.4 216.9 217.2 217.5 217.9 218.1 218.6 218.9 219.3 220.4 220.9 221 221.8 222 222.2 222.5 222.9 223.1 223.4 224 225.1 225.5 225.9 226.3 226.5 227 227.3 227.8 228.1 228.4 228.5 228.8 229 229.1 229.3 229.6 229.9 230 230.2 230.8 231 231.7 231.9 233 235.1 236 236.9 237.1 237.5 238.2 238.9 239.1 240 240.2 240.5 240.7 241.1 241.4 242.2 242.9 243.2 243.9
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
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 Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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