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Data X:
1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1100 1100 1100 1100 1100 1100 1100 1100 1100 1100 1200 1200 1200 1200 1200 1200 1200 1200 1200 1200 1300 1300 1300 1300 1300 1300 1300 1300 1300 1300 1400 1400 1400 1400 1400 1400 1400 1400 1400 1400 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1600 1600 1600 1600 1600 1600 1600 1600 1600 1600 1700 1700 1700 1700 1700 1700 1700 1700 1700 1700 1800 1800 1800 1800 1800 1800 1800 1800 1800 1800 1900 1900 1900 1900 1900 1900 1900 1900 1900 1900 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2100 2100 2100 2100 2100 2100 2100 2100 2100 2100 2200 2200 2200 2200 2200 2200 2200 2200 2200 2200 2300 2300 2300 2300 2300 2300 2300 2300 2300 2300 2400 2400 2400 2400 2400 2400 2400 2400 2400 2400 2500 2500 2500 2500 2500 2500 2500 2500 2500 2500 2600 2600 2600 2600 2600 2600 2600 2600 2600 2600 2700 2700 2700 2700 2700 2700 2700 2700 2700 2700 2800 2800 2800 2800 2800 2800 2800 2800 2800 2800 2900 2900 2900 2900 2900 2900 2900 2900 2900 2900 3000 3000 3000 3000 3000 3000 3000 3000 3000 3000 3100 3100 3100 3100 3100 3100 3100 3100 3100 3100 3200 3200 3200 3200 3200 3200 3200 3200 3200 3200 3300 3300 3300 3300 3300 3300 3300 3300 3300 3300 3400 3400 3400 3400 3400 3400 3400 3400 3400 3400 3500 3500 3500 3500 3500 3500 3500 3500 3500 3500 3600 3600 3600 3600 3600 3600 3600 3600 3600 3600 3700 3700 3700 3700 3700 3700 3700 3700 3700 3700 3800 3800 3800 3800 3800 3800 3800 3800 3800 3800 3900 3900 3900 3900 3900 3900 3900 3900 3900 3900 4000 4000 4000 4000 4000 4000 4000 4000 4000 4000 4100 4100 4100 4100 4100 4100 4100 4100 4100 4100 4200 4200 4200 4200 4200 4200 4200 4200 4200 4200 4300 4300 4300 4300 4300 4300 4300 4300 4300 4300 4400 4400 4400 4400 4400 4400 4400 4400 4400 4400 4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 4600 4600 4600 4600 4600 4600 4600 4600 4600 4600 4700 4700 4700 4700 4700 4700 4700 4700 4700 4700 4800 4800 4800 4800 4800 4800 4800 4800 4800 4800 4900 4900 4900 4900 4900 4900 4900 4900 4900 4900 5000 5000 5000 5000 5000 5000 5000 5000 5000 5000
Data Y:
59.41615982 50.14242957 49.48042499 53.3259468 52.30609336 48.86143726 50.8659103 49.3642163 54.76962397 58.18423038 59.23197004 58.02968026 65.93348254 65.05829459 56.37250226 68.83551209 64.79550777 61.96559352 73.49906338 65.15633604 73.66130098 78.12143282 72.8804637 78.74502134 64.54770971 79.55636457 73.41843731 73.40514735 69.13306402 76.40930914 91.30506864 87.45429821 83.73269406 86.41824681 88.15417897 87.87236363 80.34302126 84.56271842 83.91189723 85.77827924 102.5530716 101.9591172 100.6111131 80.31174718 93.31965504 82.2279051 92.06238737 95.31362353 91.29070095 97.71074672 98.4990965 104.4406372 108.670536 102.2922698 102.5909973 106.4244674 105.8740591 105.0608868 101.6221038 108.4738866 129.6931939 113.3638472 117.5809664 116.5615089 111.0621468 114.7175824 118.0734087 115.4110016 117.439777 116.5171754 124.4479782 125.1205639 127.2870219 122.4374912 131.0661662 130.025532 126.4923616 123.3219297 120.9032897 133.2532774 145.0875844 135.7905194 137.8894747 141.3086541 133.9918952 132.6505475 140.9917805 134.1835792 127.7194187 135.540299 146.9055332 140.5275809 144.0400271 148.4382423 143.580739 138.8875007 152.2493856 138.4717696 149.2634665 138.4316915 159.8983773 159.245161 154.16169 158.179508 155.9622364 159.9457739 161.7657878 149.0761973 154.3752141 158.6203276 165.3864268 160.1189958 167.1672331 161.2141321 154.5508292 167.0497105 170.695027 160.1173915 168.6453109 161.6361257 173.3604521 180.1794763 179.9376521 182.0571886 172.6263574 177.616043 172.6783355 174.7584348 178.5992147 176.8235243 181.0195444 181.8751904 183.3670967 182.4856721 185.7485632 183.4645657 184.8084907 187.5202088 182.8430408 184.4614712 196.4262013 194.8385718 192.4407899 194.6657169 182.2140611 193.5397886 195.8825256 190.9651432 193.5219675 192.6158423 208.6353621 202.1566656 204.4365365 206.1873719 209.6541089 210.8768695 205.7449539 212.657415 206.6222118 213.8684492 220.8895057 216.1145373 214.1271219 218.6723493 213.4655937 206.3340478 222.7778845 207.6375759 217.8490148 218.0866075 222.2826926 233.8277152 230.3189585 230.5241547 219.8393864 219.420769 235.3457719 229.5472092 218.6440286 228.0007587 234.5807377 240.6407853 236.2794724 232.3645978 229.6626056 233.1917717 233.3857758 239.3165217 227.7286985 228.3831421 244.8705805 240.2391446 250.433888 248.4981995 245.9673502 239.7398956 246.6713336 245.0273992 240.8297639 251.5964126 259.7070946 250.2609047 252.281478 261.6186761 256.9703954 252.4728514 266.5341384 254.8451402 251.745005 251.5118592 265.6907131 262.0949741 265.4612719 264.6950098 263.6273576 263.8781908 269.8999994 275.4768964 269.6923295 260.8226913 269.189509 274.9062441 274.1860518 275.7859183 274.2729907 281.7466112 287.9252001 271.0750557 274.9116386 272.6336995 270.7504711 283.3964401 285.7883307 281.8868852 283.07036 286.387349 282.7443509 292.4792651 289.4807302 283.3122127 301.871244 290.1686923 299.7995059 287.7684126 298.7433991 292.8654835 290.330275 296.7831735 294.7378565 299.4544219 307.2400282 305.1246991 309.4826364 304.3859955 306.0295568 308.8779191 304.1515862 305.2372525 301.7594956 306.5431871 304.48074 318.9270544 309.1494355 318.5582708 324.1395113 308.1906645 318.4598691 321.1815714 322.5580609 316.7885336 321.6093074 310.5712643 327.1439556 325.9765815 320.5931475 327.5499569 322.1988543 324.8575766 322.6982254 325.0704841 339.4217446 333.7015174 337.2768199 341.7779873 336.800216 337.1651077 340.3857522 325.7027151 344.8348244 332.900409 345.896894 346.5770406 345.9804684 343.5648812 344.2354717 347.6552225 337.0044828 352.7384166 332.256783 347.5530623 345.5316344 350.0194731 361.7617026 346.5784977 355.7387981 351.6827496 353.9754862 352.2835767 356.8020903 355.254365 367.5056276 373.806691 365.1606177 364.3465711 358.5750111 371.0625987 368.3122988 362.4229832 365.0313394 368.0832413 369.7886382 380.7074997 369.6511826 370.9135291 374.9300972 374.9838556 369.5670357 378.1344044 367.0962628 379.2985901 379.1998547 383.1687737 371.5568693 390.2223162 384.0310362 381.3403411 389.2667111 385.0209662 387.9384184 389.0997523 384.5245847 382.8793382 401.661432 399.4814158 396.6695861 389.7516097 392.9983624 397.4823632 396.7029083 398.282323 401.389929 401.2044366 402.7468712 407.2680837 403.5040773 401.3461882 404.0960936 403.7735761 393.7975583 413.250653 415.631532 410.9695336 416.348127 414.1172308 418.0586376 417.1532257 411.4143983 416.3244804 416.2959627 417.7748912 410.4724842 418.5548287 416.8844516 425.9093083 422.3062252 426.9017763 429.1701887 416.9413705 434.493882 426.1764679 427.8868874 432.5933737 438.7090205 429.2204593 435.1686509 434.622914 434.0826872 437.1037477 427.9470303 439.4185429 447.8402831 439.2981386 443.9096444 446.828909 457.6769815 438.3070796 450.9230256 446.33957 447.4802211 437.5910231 453.4022976 455.6081713 458.3034961 445.5712492 452.6303909 455.2338989 453.1731386 452.6441772 451.5780265 448.067868
Name of dataseries x
Source of x
Description of x
Name of dataseries y
Source of y
Description of y
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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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