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Data:
250.782608695602 363.925465838513 8.21118012422518 359.628364389236 81.1283643892363 258.628364389234 464.961697722569 720.628364389236 204.295031055902 230.128364389236 231.795031055902 -210.704968944098 155.664596273302 185.80745341615 -74.9068322981351 -28.4896480331252 62.0103519668749 22.5103519668751 -283.156314699792 -126.489648033125 -535.822981366459 7.01035196687472 -190.322981366459 -276.822981366458 -108.453416149059 -341.310559006211 -126.024844720496 -80.6076604554861 -223.107660455486 -551.607660455486 107.725672877847 -418.607660455486 -218.94099378882 97.8923395445138 -516.44099378882 -71.9409937888195 -416.57142857142 -374.428571428572 79.8571428571429 -92.725672877847 116.774327122153 -196.725672877847 -288.392339544514 -604.725672877847 158.94099378882 107.774327122153 22.4409937888195 3.94099378881948 -321.689440993781 49.4534161490671 341.739130434782 -210.843685300208 14.6563146997918 189.156314699792 79.489648033125 -40.843685300208 131.822981366458 -342.343685300208 218.322981366459 81.8229813664584 2.192546583858 -111.664596273294 83.621118012421 53.0383022774308 -51.4616977225691 278.038302277431 -80.628364389236 470.038302277431 259.704968944098 -100.461697722569 234.204968944098 473.704968944098 438.074534161497 228.217391304345 -312.49689440994
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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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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