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Data:
2119.9 2108.7 2092 2104.2 2110.1 2114 2138.8 2165.5 2155.1 2135.2 2163.1 2175.2 2183.3 2201.5 2212.3 2223.8 2241.9 2269.2 2261.4 2273.4 2299.3 2315.5 2338.7 2333 2311 2303.6 2310.5 2295.8 2265.5 2271.1 2231.9 2245 2249.7 2300.5 2280.4 2290.7 2261.5 2259.1 2249.8 2271.2 2259 2259.4 2250.2 2243.3 2234.3 2216.5 2197.6 2211.7 2206.7 2214.6 2229.8 2219.5 2213.8 2214.1 2224.1 2229.6 2251.7 2262.9 2268.9 2293.7 2312.4 2342 2327.4 2366.2 2371.8 2364.4 2370.5 2412.8 2447.3 2443.5 2459.3 2480.7 2504.4 2505.5 2534 2538.7 2538.1 2522 2566.4 2572.8 2557.3 2541 2540.7 2508.5 2567.1 2553.6 2522.4 2520.6 2499.4 2470.8 2479.3 2481.8 2470.3 2491 2479.1 2456.6 2456.1 2482.2 2444.7 2425.3 2389.3 2367.7 2339.3 2342.4 2343.6 2346.3 2363.5 2338.7 2369.4 2356 2348.6 2349.7 2371.9 2364.9 2394.1 2399.2 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Seasonal Period
n1862
12
1
2
3
4
6
12
Chart options
R Code
par1 <- as.numeric(par1) n.orig <- length(x) x <- na.omit(x) 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) if(n.orig!=n) { a<-table.row.start(a) a<-table.element(a,'Warning: NAs were removed from the time series! The results shown below will only be correct if the NAs are all located at the start and/or end of the time series.',6,F) 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(myx,lag=1,differences=smalld) if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd) a<-table.element(a,signif(var(myx), digits=6)) a<-table.element(a,'Range',header=TRUE) a<-table.element(a,signif(max(myx)-min(myx), digits=6)) a<-table.element(a,'Trim Var.',header=TRUE) smyx <- sort(myx) sn <- length(smyx) a<-table.element(a,signif(var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)]), digits=6)) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab') bitmap(file='pic0.png') op <- par(mfrow=c(2,2)) plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0') plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0') plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1') plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1') par(op) dev.off()
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Big Analytics Cloud Computing Center
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