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Data:
89.97 99.8 112.99 93.69 108.02 99.11 94.33 83.75 106.37 109.63 105.5 96.13 102.48 101.37 112.76 95.57 102.81 104.13 97.52 85.29 101.01 108.48 101.33 87.57 97.44 96.06 106.67 102.67 104.54 102.46 103.35 83.27 108.22 115.23 103.7 93.61 100.25 100.56 108.86 105.43 104.77 109.13 106.13 82.27 113.6 117.73 104.83 104.61 102.93 106.95 123.45 111.99 103.95 122.05 108.04 93.72 119.61 118.29 117.14 112.76 105.97 107.96 122.27 114.54 110.15 120.02 103.94 96.18 121.01 110.55 120.04 114.19
Seasonal Period
FALSE
12
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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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0 seconds
R Server
Big Analytics Cloud Computing Center
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