Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
8.1 9.9 11.5 23.4 25.4 27.9 26.1 18.8 14.1 11.5 15.8 12.4 4.5 -2.2 -4.2 -9.4 -14.5 -17.9 -15.1 -15.2 -15.7 -18 -18.1 -13.5 -9.9 -4.8 -1.7 -0.1 2.2 10.2 7.6 10.8 3.8 11 10.8 20.1 14.9 13 10.9 9.6 4 -1.1 -7.7 -8.9 -8 -7.1 -5.3 -2.5 -2.4 -2.9 -4.8 -7.2 1.7 2.2 13.4 12.3 13.7 4.4 -2.5
Seasonal Period
1
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