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Data:
321.61 345.85 338.60 345.64 340.71 342.49 342.65 348.68 377.36 418.05 423.13 397.69 390.80 408.29 401.02 409.24 439.28 459.95 449.66 451.14 460.66 460.23 465.69 468.01 486.74 475.89 441.52 443.63 451.62 451.14 450.88 437.56 431.18 412.02 407.14 420.48 418.92 403.57 387.55 390.02 384.37 370.62 367.90 374.91 365.15 361.91 367.03 395.19 409.25 410.49 416.58 392.21 374.29 369.05 352.19 362.85 395.47 388.82 380.39 381.73 377.69 383.04 363.89 363.23 358.37 356.97 366.87 367.57 355.88 348.88 358.77 360.42 361.08 354.57 353.73 344.20 338.34 337.21 340.96 353.29 342.67 345.71 344.17 334.92 334.81 329.05 329.31 330.25 341.89 367.74 371.93 392.79 377.97 354.93 364.40 374.05 383.63 386.56 381.90 384.08 377.29 381.54 385.60 385.47 380.40 391.74 389.57 384.29 379.26 378.44 376.63 382.48 390.89 385.04 387.58 386.19 383.78 383.10 383.25 385.19 387.35 400.49 404.53 396.15 392.79 391.96 385.04 383.58 387.46 382.90 381.04 377.69 368.95 353.87 347.03 351.49 344.23 344.09 340.51 323.90 324.02 323.11 324.36 305.55 288.59 289.15 297.49 295.94 308.29 299.10 292.32 292.87 284.11 288.98 295.93 294.17 291.68 287.07 287.33 285.96 282.62 276.44 261.31 256.08 256.69 264.74 310.72 293.18 283.07 284.32 299.86 286.39 279.69 275.19 285.73 281.59 274.47 273.68 270.00 266.01 271.45 265.49 261.87 263.03 260.48 272.36 269.82 267.53 272.39 283.42 283.06 276.16 275.85 281.51 295.50 294.06 302.68 314.58 321.18 313.29 310.25 319.14 316.56 319.07 331.92 356.86 358.97 340.55 328.18 355.68 356.35 350.99 359.77 378.95 378.92 389.91 406.11 413.79 404.95 406.67 403.26 383.78 392.48 398.09 400.51 405.28 420.46 439.38 442.08 424.03 423.35 434.32 429.23 421.87 430.66 424.48 437.93 456.05 469.90 476.67 510.10 549.86 555.00 557.09 610.65 675.39 596.15 633.71 632.33 598.06 585.78 627.83 629.42 631.17 664.75 654.90 679.37 666.92 655.49 665.30 665.41 712.65 754.60 806.25 803.20 889.60 922.30 968.43 909.70 890.51 889.49 939.77 838.31 829.93 806.62 760.86 822.00 859.19 943.16 924.27 889.50 930.20 945.67 934.23 949.67 996.59 1043.16 1127.04 1126.22 1116.51 1095.41 1113.34 1148.69 1205.43 1232.92 1192.97 1215.81 1270.98 1342.02
Sample Range:
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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) qqline(x) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot1.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main='Lag plot (k=1), lowess, and regression line') lines(lowess(z)) abline(lm(z)) dev.off() if (par2 > 1) { bitmap(file='lagplotpar2.png') dum <- cbind(lag(x,k=par2),x) dum dum1 <- dum[(par2+1):length(x),] dum1 z <- as.data.frame(dum1) z mylagtitle <- 'Lag plot (k=' mylagtitle <- paste(mylagtitle,par2,sep='') mylagtitle <- paste(mylagtitle,'), and lowess',sep='') plot(z,main=mylagtitle) lines(lowess(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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Big Analytics Cloud Computing Center
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