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Data:
5.74 5.72 5.24 5.16 5.1 4.89 5.14 5.39 5.29 5.24 4.97 4.73 4.57 4.65 5.09 5.04 4.91 5.28 5.21 5.16 4.93 4.65 4.26 3.87 3.94 4.05 4.03 4.05 3.9 3.81 3.96 3.57 3.33 3.97 4.44 4.27 4.29 4.3 4.27 4.15 4.08 3.83 4.35 4.72 4.73 4.5 4.28 4.13 4.1 4.19 4.23 4.22 4.17 4.5 4.34 4.14 4 4.18 4.26 4.2 4.46 4.53 4.47 4.42 4.57 4.72 4.99 5.11 5.11 5.09 4.88 4.72 4.73 4.6 4.56 4.76 4.72 4.56 4.7 4.75 5.1 5 4.67 4.52 4.53
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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Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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