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Data:
6675.2 7075.3 8344.1 7328.8 7076.7 7137.1 6018 7248.3 6760.3 7047.7 6368.2 6272.6 6245.4 6039.4 6855.3 6155.2 6291.6 6144.5 5490.4 7289.1 6992.7 7134 6827.2 6335.4 6762.2 7340.8 8123.2 7251.1 8067.6 7609.4 7438.1 9036.5 7853.8 6941.9 6403.9 6347.5 6792.1 6689.7 7734.7 7624.1 7797.9 7273.1 6882.1 7921.2 7359.6 7971.1 6888.1 6959.3 7780.4 7220.9 7707.8 7433.3 7256.8 7207.1 6725.3 7591.2 7440.7 7941.2 6977.4 7320.1 7447.3 7144.7 7560.9 7076.8 7043.6 7678 6942.7 8034.8 8211.8 8563 7891.9 7924.6 7536.4 7677.8 8396.4 7535.1 7397.9 7644.8 6919.8 8820.6 8327.2 8085.3 8297.3 8032.4 8196.9 7504 8898.1 7714.5 8248.6 7854.4 6626.9 9082.4 8461.8 8957.4 8696.5 7255.4 9027.6 8175.6 9129.2 8288 8620 8427.6 7953.5 9151.5 8281.3 9307.8 8646.1 7548.7 8599.1 8277.2 8516.8 7938.3 7994.7 7692.7 7987.6 8898.2 8165.6 9044.5 8187 7952.1 8770.5 8188.6 8559.5 8215.8 7998 7975.4
Box-Cox transformation parameter
12
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
1
2
Degree (D) of seasonal differencing
0
1
2
Seasonal Period
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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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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