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Data:
111.85 111.42 109.91 109.70 107.97 109.27 122.63 125.00 124.57 121.77 117.89 119.61 121.12 120.91 119.61 117.24 115.73 117.03 128.02 131.68 132.11 131.68 128.02 128.23 127.37 126.94 125.86 123.49 122.20 122.63 133.84 135.56 135.34 131.90 128.23 128.66 127.80 127.16 125.00 123.71 123.49 123.49 133.62 134.91 133.62 126.72 121.98 120.04 120.91 118.32 114.66 113.36 110.13 107.54 119.61 121.77 116.81 113.58 109.91 110.78 111.42 109.48 106.25 105.60 101.08 103.02 113.79 115.09 111.64 109.05 108.19 111.21 113.79 114.87 115.52 115.73 112.93 115.52 126.51 128.66 125.22 121.55 120.26
Seasonal Period
36
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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R Server
Big Analytics Cloud Computing Center
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