Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
35.36 31.19 35.29 33.80 36.38 37.77 34.88 37.07 35.56 34.18 32.05 32.35 34.79 33.75 33.76 36.80 36.57 34.14 33.85 35.10 33.92 33.34 30.69 32.32 32.47 34.71 37.19 35.58 36.04 35.63 32.74 33.31 28.40 27.37 28.20 29.23 28.05 27.70 28.05 28.01 30.73 30.82 30.48 30.92 31.20 31.41 31.96 36.95 35.64 37.18 38.69 39.97 40.36 40.79 42.92 41.21 44.15 44.70 47.42 45.14 46.08 50.59 48.63 47.46 47.30 49.02 51.77 54.15 56.10 52.58 52.56 51.27 57.72 53.46 55.48 59.33 57.32 56.44 58.80 55.64 53.62 54.87 56.15 55.35 52.38 51.27 53.95 56.09 56.34 60.65 58.35 57.18 58.87 66.20 62.25 62.62 54.73 56.20 52.54 63.06 63.53 60.95 53.83 51.20 44.57 44.15 44.04 42.28 38.42 35.41 37.01 39.19 46.50 44.79 47.01 49.15 50.85 54.09 55.40 56.16 54.37 52.34 56.13 51.29 42.95 28.88 38.47 34.83 41.17 40.80 40.00 44.00
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
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')
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