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Data:
101.02 100.67 100.47 100.38 100.33 100.34 100.37 100.39 100.21 100.21 100.22 100.28 100.25 100.25 100.21 100.16 100.18 100.1 99.96 99.88 99.88 99.86 99.84 99.8 99.82 99.81 99.92 100.03 99.99 100.02 100.01 100.13 100.33 100.13 99.96 100.05 99.83 99.8 100.01 100.1 100.13 100.16 100.41 101.34 101.65 101.85 102.07 102.12 102.14 102.21 102.28 102.19 102.33 102.54 102.44 102.78 102.9 103.08 102.77 102.65 102.71 103.29 102.86 103.45 103.72 103.65 103.83 104.45 105.14 105.07 105.31 105.19 105.3 105.02 105.17 105.28 105.45 105.38 105.8 105.96 105.08 105.11 105.61 105.5
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')
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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