Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
4.56 4.41 4.33 4.20 4.25 4.25 4.19 4.17 4.21 4.21 4.17 4.16 4.19 4.08 4.06 3.98 3.82 3.82 3.72 3.56 3.57 3.49 3.32 3.23 3.04 3.00 2.82 2.73 2.59 2.58 2.53 2.31 2.31 2.30 2.07 2.07 2.06 2.06 2.05 2.05 2.05 2.05 2.05 2.06 2.07 2.08 2.05 2.03 2.02 2.02 2.01 2.01 2.01 2.01 2.01 2.01 2.03 2.04 2.03 2.05 2.08 2.06 2.09 2.19 2.56 2.54 2.63 2.78 2.84 3.02 3.28 3.29 3.29 3.29 3.32 3.34 3.32 3.30 3.30 3.30 3.31 3.35 3.48 3.76 4.06 4.51 4.52 4.53 4.63 4.79 4.77 4.77 4.77 4.81 4.83 4.76 4.61
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