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Data:
15.22 14.28 14.61 14.19 14.02 14.22 14.80 15.05 15.24 15.85 15.43 15.41 15.53 15.95 15.72 15.68 16.06 15.27 16.01 15.44 15.47 15.49 15.38 16.62 17.25 16.37 16.14 15.76 15.54 15.46 15.26 16.02 15.67 15.67 15.48 16.07 16.65 16.18 16.55 16.58 17.73 17.94 18.66 18.73 19.07 19.48 19.52 19.60 20.32 19.84 19.81 20.64 22.12 21.50 21.77 20.29 21.76 22.35 22.15 23.83 24.46 25.13 24.36 24.45 23.66 25.97 25.20 24.41 25.32 26.36 28.03 28.95 27.25 27.47 28.75 29.24 28.03 27.34 26.47 28.30 27.90 26.69 28.31 28.84 28.56 28.25 28.93 28.22 31.77 31.64 30.60 32.34 31.51 31.39 32.19 33.11 33.99 34.30 34.53 33.67 34.72 34.91 36.24 37.47 36.94 38.55 39.88 37.78 40.09 40.17 40.67 44.82 40.89 41.47 44.67
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
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# lags (autocorrelation function)
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Chart options
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) x <- as.ts(x) library(lattice) bitmap(file='pic1.png') plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic2.png') hist(x) grid() dev.off() bitmap(file='pic3.png') if (par1 > 0) { densityplot(~x,col='black',main=paste('Density Plot bw = ',par1),bw=par1) } else { densityplot(~x,col='black',main='Density Plot') } dev.off() bitmap(file='pic4.png') qqnorm(x) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main=paste('Lag plot, lowess, and regression line')) lines(lowess(z)) abline(lm(z)) dev.off() bitmap(file='pic5.png') acf(x,lag.max=par2,main='Autocorrelation Function') grid() dev.off() } summary(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'# observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'minimum',header=TRUE) a<-table.element(a,min(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q1',header=TRUE) a<-table.element(a,quantile(x,0.25)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q3',header=TRUE) a<-table.element(a,quantile(x,0.75)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'maximum',header=TRUE) a<-table.element(a,max(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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