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Data X:
553.12 568.15 552.75 510.65 524.93 532.95 540.84 540.22 553.75 529.69 525.93 527.31 527.31 512.03 502.76 496.62 492.23 495.12 469.93 492.36 497.87 480.21 462.29 456.03 456.22 460.41 466.59 441.37 455.31 426.96 419.7 419.7 416.44 404.04 388.63 397.65 390.38 378.1 384.87 419.19 427.96 413.81 408.04 410.3 405.66 400.9 387 388.25 390 416.44 436.11 428.79 424.16 409.12 392.01 388.37 373.97 358.93 371.96 353.92 364.95 340.52 353.67 361.19 364.7 359.43 371.21 385.24 389.63 433.23 407.79 400.9 385.87 406.67 406.04 418.19 429.22 420.95 402.78 391.01 416.94 397.14 406.67 419.44 422.2 435.98 470.81 504.51 497.25 508.52 522.43 551.62 537.59 559.76 558.26 563.27 558.01 563.27 564.15 582.81 592.96 602.73 581.06 595.47 605.36 615.39 602.48 565.65 565.65 566.9 558.63 547.48 543.72 517.42 526.31 512.4 496.12 503.63 501.13 499.88 501.13 494.86 488.6 482.34 447.26 440.99 418.44 418.44 412.18 394.64 334.5 328.24 319.47 323.23 328.24 365.82 371.88 340.6 337.48 337.22 313.96 308.39 307.57 295.4 297.04 341.89 341.18 352.12 367.36 364.88 363.09 351.25 349.29 335.47 320.1 310.7 312.39 309.68 309.67 328.92 337.01 327.79 324.38 313.93 310.83 316.62 325.5 320.03 320.1 338.13 379.25 376.82 398.37 394.46 411.95 425.91 444.48 433.45 446.07 426.04 447.06 467.94 516.73 520.27 516.49 519.41 537.66 547.44 507.04 495.99 436.58 453.11 456.77 450.38 439.18 416.56 440.06 447.61 420.32 417.67 404.38 416.41 419.48 417.72 408.62 442.94 425.82 451.19 467.49 478.76 478.56 427.63 448.81 435.41 434.67 413.62 399.02 406.64 384.83 379.81 355.7 348.24 308.83 296.93 280.11 286.85 294.93 294.77 299.37 287.1 297.46 298.88 288.74 288.32 286.32 254.34 247.09 247.29 255.49 267.26 276.44 260.07 267.1 273.81 290.37 293.98 302.36 289.92 283.27 279.87 267.66 286.88 309.69 323.95 315.36 327.52 325.69 326.92 328.26 348.94 340.53 330.29 335.91 376.13 444.11 516.35 529.16 525.07 519.78 548.84 539.68 534.99 584.34 664.34 691.81 689.34 725.81 734.89 681.58 685.72 633.01 680.28 684.95 653.47 647.28 602.73 589.76 588.41 613.51 611.93 587.69 554.63 533.09 560.59 553.05 528.97 500.93 508.86 537.86 547.3 556.94 549.33 545.18 543.69 543.49 553.32 563.57 531.87 517.85 500.83 481.51 479.73 496.6 520.76 528.71 515.46 522 515.63 522.87 534.29 521.83 524.66 640.02 644.21 715.51 706.96 724.75 742.55 788.25 787.58 761.64 732.83 765.24 807.45 828.19 817.45 840.86 843.77 835.3 823.97 781.49 778.46 793.63 717.57 656.35 510.28 450.98 477.83 464.59 449.72 460.47 516.6 599.31 609.15 609.3 655.49 690.91 743.59 756.8 780.4 842.74 818.72 847.84 817.97 763.94 762.81 777.29 786.94 766.28
Data Y:
684.28 722.57 695.96 688.13 720.76 737.26 736.9 727.38 728.83 715.58 735.93 758.69 758.69 740.99 719.44 721.24 737.38 756.52 745.32 733.76 738.46 736.65 737.5 725.22 722.45 720.44 733.6 662.93 763.87 746.67 712.59 655.02 660.2 633.59 627.08 635.63 668.87 656.7 631.9 610.83 632.98 631.06 644.3 647.55 655.14 674.4 676.21 670.43 683.43 703.42 708.48 714.5 706.19 694.15 658.15 648.4 630.82 634.19 658.15 636.11 640.33 601.8 611.07 634.31 625.76 596.86 604.09 587.11 583.13 579.16 551.47 541.83 569.53 564.71 572.06 578.56 595.78 567.84 534.25 519.08 531.96 551.83 560.62 579.52 593.13 626.72 715.1 832.38 837.2 879.46 881.99 1044.9 924.73 987.95 966.15 1016.72 1107.27 1296.67 1379.75 1543.03 1570.12 1538.81 1484.63 1451.27 1414.91 1456.93 1319.19 1267.89 1349.77 1240.2 1189.51 1117.87 1080.06 1054.77 1019.47 1049.96 1060.79 1070.42 1075.24 1080.06 1074.04 1062 1064.4 1071.63 1057.18 898.24 895.83 951.22 936.77 901.85 888.61 870.55 887.41 596.02 586.39 596.02 721 777.51 723.48 680.64 613.45 558.18 641.49 652.19 619.37 655.83 667.93 667.7 663.07 633.89 595.28 568.94 572.72 535.26 508.04 512.94 495.22 469.37 469.37 429.69 468.13 470.06 464.93 450.74 423.51 454.84 497.77 465.45 542.31 606.03 609.58 645.79 719.63 779.41 773.5 806.82 876.1 824.64 881.7 878.41 904.18 892.34 887.13 867.85 839.28 826.06 751.11 789.25 732.98 622.07 600.95 590.53 584.39 525.31 573.83 597.67 743.54 701.36 671.43 751.65 738.33 681.61 616.97 632.94 677.73 730.96 719.66 764.21 805 829.35 826.26 765.93 801.91 769.16 739.89 688.07 636.11 631.72 625.92 627.82 606.13 595.3 583.14 500.19 462.89 417.47 472.27 474.81 489.07 493.14 626.64 680.43 620.3 676.74 690.03 631.04 623.26 619.83 631.74 648.77 724.21 727.09 767.31 801.42 817.72 764.33 746.93 717.29 695.9 688.38 663.53 688.39 716.14 733.28 688.23 760.63 716.77 683.81 630.79 617.91 524.19 441.98 466.09 501.44 599.55 621.99 607.57 614.56 619.09 603.14 569.12 575.72 642.41 748.18 768.39 763.16 800.63 778.49 733.7 740.17 678.33 697.09 678.54 670.87 674.52 664.39 646.52 661.25 729.36 721.52 708.75 706.12 676.93 708.15 717.64 714.35 703.6 718.96 736.03 717.96 730.77 734.66 728.58 729.18 717.13 684.6 692.06 668.84 647.4 622.57 593.69 583.24 639.17 709.73 698.75 697.7 732.25 714.49 704.85 717.56 704.91 690.74 790.34 790.69 893.66 875.62 914.02 940.37 989.08 987.73 936.34 914.11 943.08 1080.64 1102.71 1097.26 1157.37 1154.25 1136 1133.42 1062.44 1041.1 1047.97 941.71 896.79 734.91 646.17 666.39 625.45 586.26 617.15 686.86 761.34 741.73 763.62 822.57 867.58 944.85 953.95 970.08 1003.22 972.81 1003.86 991.83 919.13 919.52 916.17 936.18 960.65
Name of dataseries x
Source of x
Description of x
Name of dataseries y
Source of y
Description of y
Chart options
Label y-axis:
Label x-axis:
R Code
bitmap(file='test1.png') op <- par(mfrow=c(2,2)) plot(x,type='b',main='Plot of x',xlab=xlab,ylab=ylab) plot(y,type='b',main='Plot of y',xlab=xlab,ylab=ylab) hist(x) hist(y) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Bivariate Dataseries',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries x',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source of x',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description of x',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries y',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source of y',header=TRUE) a<-table.element(a,par5) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description of y',header=TRUE) a<-table.element(a,par6) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of observations',header=TRUE) a<-table.element(a,length(x)) 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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