Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
2150.3 2425.7 2642.0 2291.5 2570.7 2526.6 2266.2 1981.9 2630.3 2942.6 2713.4 2437.5 2678.9 2582.0 2780.0 2512.4 2658.4 2708.7 2518.7 2018.3 2579.3 2693.5 2468.8 2122.8 2412.8 2370.6 2642.5 2634.2 2457.5 2579.1 2505.9 1903.2 2660.2 2844.1 2607.1 2356.0 2659.9 2531.4 2845.7 2654.3 2588.2 2789.6 2533.1 1846.5 2796.3 2895.6 2472.2 2584.4 2630.4 2663.1 3176.2 2856.7 2551.4 3088.7 2628.3 2226.2 3023.6 3077.9 3084.1 2990.3 2949.6 3014.7 3517.7 3121.2 3067.4 3174.6 2676.3 2424.0 3195.1 3146.6 3506.7 3528.5
Seasonal Period
12
12
1
2
3
4
6
12
Chart options
R Code
par1 <- as.numeric(par1) n <- length(x) sx <- sort(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Variance Reduction Matrix',6,TRUE) a<-table.row.end(a) for (bigd in 0:2) { for (smalld in 0:3) { mylabel <- 'V(Y[t],d=' mylabel <- paste(mylabel,as.character(smalld),sep='') mylabel <- paste(mylabel,',D=',sep='') mylabel <- paste(mylabel,as.character(bigd),sep='') mylabel <- paste(mylabel,')',sep='') a<-table.row.start(a) a<-table.element(a,mylabel,header=TRUE) myx <- x if (smalld > 0) myx <- diff(x,lag=1,differences=smalld) if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd) a<-table.element(a,var(myx)) a<-table.element(a,'Range',header=TRUE) a<-table.element(a,max(myx)-min(myx)) a<-table.element(a,'Trim Var.',header=TRUE) smyx <- sort(myx) sn <- length(smyx) a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)])) 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