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Data:
91.2 80.8 72.3 99.7 90.1 83.1 71.9 78.6 87.2 90.6 80 73.1 85.6 73.8 70.6 91.8 81.3 85.2 69.6 83.3 89.8 99.5 78.9 83.8 92 80.9 74.6 97.9 88.3 88.1 66.4 92.3 95.6 99.7 78.9 79.4 87.8 80.5 71.8 89.2 96.4 83.5 64.3 85.9 89.2 81.8 79.5 68.7 76.4 73.6 57.7 78.3 75.5 62.4 55.6 62.9 66.7 66.8 59.9 52 61.2
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
1 seconds
R Server
Big Analytics Cloud Computing Center
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