Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
5797.8 5784.3 5714.8 5748.8 5793.8 5783.2 5765 5846.1 5879.4 5922.7 5992.7 6032.5 6028.3 6096.3 6184.8 6206.1 6324 6380.6 6504.6 6591 6637.9 6653.8 6611.3 6603.1 6562.8 6554.9 6529.8 6543.4 6481.5 6489.6 6452.3 6444.5 6409.6 6427.5 6374.2 6400.5 6268.2 6239.5 6220.1 6226.6 6207.1 6217.4 6196.9 6132.9 6151.2 6115.2 6122.6 6140.9 6146.5 6126 6131.9 6190.8 6209.2 6230.8 6196.5 6168.2 6213.4 6243 6298.1 6361.4 6388.7 6416.3 6505.7 6538.7 6605.5 6668.9 6741.7 6813.2 6864.3 6870 6889.8 6938.8 7033.3 7104 7168.7 7156 7156.6 7171.8 7251.2 7258.8 7231.5 7261.7 7252.8 7194.2 7211.9 7177.8 7145.9 7170.6 7189.6 7161 7219.9 7155.3 7155.8 7232.1 7254.9 7278.8 7291.2 7298.6 7256.3 7187.7 7126.3 7034.6 7018.6 7024.4 7028.2 7042.2 7022.2 6998.7 6982.7 6936.6 6887.2 6881.1 6890.9 6947.7 6887.5 6937.1
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
4
1
2
3
4
12
Chart options
R Code
par4 <- '4' par3 <- '1' par2 <- '1' 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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation