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Data:
5884.5 5879.1 5897.2 5920.7 5944.6 5982.4 6017.4 5980 6087.4 6114.5 6143.2 6173.1 6195.7 6236 6255.2 6282.5 6301.7 6330.9 6350.8 6363 6388.6 6411.5 6436.4 6449.2 6473.3 6479.5 6507.3 6516.1 6534.2 6540.6 6542.9 6562.6 6577 6596.6 6612.1 6626.3 6640.1 6642.4 6648.7 6660.8 6668.2 6657.7 6682.8 6696.8 6714.4 6728.2 6741.8 6758.4 6774 6792.3 6809.1 6832.2 6850.3 6861.1 6882.6 6900.7 6915.1 6947.8 6965.9 6991.7 6993.9 7031.7 7048.7 7067.4 7077.1 7107.4 7127.1 7137.3 7147.9 7170.6 7193 7220.1 7251 7268.1 7282.2 7290.2 7292.5 7299.6 7305.1 7306.9 7313.3 7325.6 7348.1 7354.7 7375.3 7396.3 7401.9 7390.4 7393.6 7398.5 7392.4 7390.8 7380.6 7365.8 7346.9 7334.1 7314.8 7287.8 7274.3 7252.7 7257.5 7256.5 7253.9 7262.6 7263.6 7261.3 7250.4 7249.3 7245.6 7244.4 7253.8 7271.6 7282.7 7283 7293.3 7291.2 7298.5
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
0
0
1
2
Seasonal Period
1
1
2
3
4
12
Chart options
R Code
par4 <- '1' par3 <- '0' par2 <- '0' par1 <- '1' 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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