Thanks for your comments, David avg_cost_2012 and asset_2012 are numeric vectors of length 39
while x2 and y1 are longer vectors whose range is about the same as (avg_cost_2012, asset_2012) I also present the data by dput below. Is it clear? Thanks, Miao asset_2012 avg_cost_2012 1 3973730.0 0.0032199310 2 2391575.8 0.0034866607 3 2840943.5 0.0051450067 4 2040943.0 0.0063589398 5 1982715.2 0.0062530448 6 1618162.2 0.0054400342 7 820082.2 0.0042134623 8 1658596.8 0.0048834145 9 1762794.0 0.0062155737 10 93439.5 0.0042552036 11 218481.2 0.0069238420 12 2332477.0 0.0048621108 13 725835.5 0.0008902909 14 811575.2 0.0129624864 15 292223.0 0.0026141820 16 153862.2 0.0075244299 17 1272367.2 0.0068988788 18 734199.0 0.0098799510 19 421404.5 0.0050479335 20 189047.5 0.0048211174 21 529102.0 0.0096373243 22 56833.0 0.0061710425 23 125856.2 0.0083900410 24 598893.8 0.0066222964 25 258240.0 0.0061297368 26 159086.2 0.0088192099 27 122863.0 0.0100925693 28 404699.5 0.0081477489 29 453514.5 0.0084070531 30 545028.0 0.0060956804 31 1233365.5 0.0061105819 32 1192758.2 0.0081616218 33 147563.2 0.0083796600 34 247293.0 0.0102826553 35 1074838.2 0.0074134232 36 459227.5 0.0086199724 37 202332.0 0.0090614422 38 377401.2 0.0069230414 39 1876752.5 0.0102260772 x2 y1 1 50118.72 0.012116846 2 51286.14 0.012053508 3 52480.75 0.011990503 4 53703.18 0.011927830 5 54954.09 0.011865489 6 56234.13 0.011803480 7 57543.99 0.011741804 8 58884.37 0.011680460 9 60255.96 0.011619448 10 61659.50 0.011558769 11 63095.73 0.011498421 12 64565.42 0.011438406 13 66069.34 0.011378724 14 67608.30 0.011319373 15 69183.10 0.011260355 16 70794.58 0.011201669 17 72443.60 0.011143315 18 74131.02 0.011085294 19 75857.76 0.011027605 20 77624.71 0.010970248 21 79432.82 0.010913224 22 81283.05 0.010856531 23 83176.38 0.010800171 24 85113.80 0.010744143 25 87096.36 0.010688448 26 89125.09 0.010633085 27 91201.08 0.010578054 28 93325.43 0.010523355 29 95499.26 0.010468989 30 97723.72 0.010414954 31 100000.00 0.010361253 32 102329.30 0.010307883 33 104712.85 0.010254846 34 107151.93 0.010202140 35 109647.82 0.010149768 36 112201.85 0.010097727 37 114815.36 0.010046019 38 117489.76 0.009994643 39 120226.44 0.009943599 40 123026.88 0.009892888 41 125892.54 0.009842508 42 128824.96 0.009792461 43 131825.67 0.009742747 44 134896.29 0.009693364 45 138038.43 0.009644314 46 141253.75 0.009595596 47 144543.98 0.009547211 48 147910.84 0.009499157 49 151356.12 0.009451436 50 154881.66 0.009404047 51 158489.32 0.009356991 52 162181.01 0.009310267 53 165958.69 0.009263875 54 169824.37 0.009217815 55 173780.08 0.009172087 56 177827.94 0.009126692 57 181970.09 0.009081629 58 186208.71 0.009036899 59 190546.07 0.008992500 60 194984.46 0.008948434 61 199526.23 0.008904700 62 204173.79 0.008861299 63 208929.61 0.008818229 64 213796.21 0.008775492 65 218776.16 0.008733088 66 223872.11 0.008691015 67 229086.77 0.008649275 68 234422.88 0.008607867 69 239883.29 0.008566791 70 245470.89 0.008526048 71 251188.64 0.008485636 72 257039.58 0.008445558 73 263026.80 0.008405811 74 269153.48 0.008366396 75 275422.87 0.008327314 76 281838.29 0.008288565 77 288403.15 0.008250147 78 295120.92 0.008212062 79 301995.17 0.008174309 80 309029.54 0.008136888 81 316227.77 0.008099799 82 323593.66 0.008063043 83 331131.12 0.008026619 84 338844.16 0.007990528 85 346736.85 0.007954768 86 354813.39 0.007919341 87 363078.05 0.007884246 88 371535.23 0.007849483 89 380189.40 0.007815053 90 389045.14 0.007780955 91 398107.17 0.007747189 92 407380.28 0.007713756 93 416869.38 0.007680654 94 426579.52 0.007647885 95 436515.83 0.007615449 96 446683.59 0.007583344 97 457088.19 0.007551572 98 467735.14 0.007520132 99 478630.09 0.007489024 100 489778.82 0.007458249 101 501187.23 0.007427806 102 512861.38 0.007397695 103 524807.46 0.007367916 104 537031.80 0.007338470 105 549540.87 0.007309356 106 562341.33 0.007280574 107 575439.94 0.007252125 108 588843.66 0.007224007 109 602559.59 0.007196222 110 616595.00 0.007168770 111 630957.34 0.007141649 112 645654.23 0.007114861 113 660693.45 0.007088405 114 676082.98 0.007062281 115 691830.97 0.007036490 116 707945.78 0.007011031 117 724435.96 0.006985904 118 741310.24 0.006961109 119 758577.58 0.006936647 120 776247.12 0.006912517 121 794328.23 0.006888719 122 812830.52 0.006865254 123 831763.77 0.006842120 124 851138.04 0.006819320 125 870963.59 0.006796851 126 891250.94 0.006774714 127 912010.84 0.006752910 128 933254.30 0.006731438 129 954992.59 0.006710299 130 977237.22 0.006689491 131 1000000.00 0.006669016 132 1023292.99 0.006648873 133 1047128.55 0.006629063 134 1071519.31 0.006609585 135 1096478.20 0.006590438 136 1122018.45 0.006571625 137 1148153.62 0.006553143 138 1174897.55 0.006534994 139 1202264.43 0.006517177 140 1230268.77 0.006499692 141 1258925.41 0.006482540 142 1288249.55 0.006465720 143 1318256.74 0.006449232 144 1348962.88 0.006433076 145 1380384.26 0.006417253 146 1412537.54 0.006401762 147 1445439.77 0.006386603 148 1479108.39 0.006371777 149 1513561.25 0.006357282 150 1548816.62 0.006343120 151 1584893.19 0.006329291 152 1621810.10 0.006315793 153 1659586.91 0.006302628 154 1698243.65 0.006289795 155 1737800.83 0.006277294 156 1778279.41 0.006265126 157 1819700.86 0.006253290 158 1862087.14 0.006241786 159 1905460.72 0.006230614 160 1949844.60 0.006219775 161 1995262.31 0.006209268 162 2041737.94 0.006199093 163 2089296.13 0.006189251 164 2137962.09 0.006179740 165 2187761.62 0.006170562 166 2238721.14 0.006161717 167 2290867.65 0.006153203 168 2344228.82 0.006145022 169 2398832.92 0.006137173 170 2454708.92 0.006129656 171 2511886.43 0.006122472 172 2570395.78 0.006115620 173 2630267.99 0.006109100 174 2691534.80 0.006102913 175 2754228.70 0.006097057 176 2818382.93 0.006091534 177 2884031.50 0.006086343 178 2951209.23 0.006081485 179 3019951.72 0.006076959 180 3090295.43 0.006072765 181 3162277.66 0.006068903 182 3235936.57 0.006065374 183 3311311.21 0.006062176 184 3388441.56 0.006059311 185 3467368.50 0.006056779 186 3548133.89 0.006054579 187 3630780.55 0.006052710 188 3715352.29 0.006051175 189 3801893.96 0.006049971 190 3890451.45 0.006049100 191 3981071.71 0.006048561 192 4073802.78 0.006048354 193 4168693.83 0.006048480 194 4265795.19 0.006048937 195 4365158.32 0.006049727 196 4466835.92 0.006050850 197 4570881.90 0.006052304 198 4677351.41 0.006054091 199 4786300.92 0.006056210 200 4897788.19 0.006058662 201 5011872.34 0.006061445 To use dput function to present the data > dput(cbind(avg_cost_2012, asset_2012)) structure(c(0.00321993102627396, 0.00348666071050862, 0.00514500670171978, 0.00635893976088426, 0.00625304477271035, 0.00544003417356045, 0.00421346233925224, 0.00488341453548038, 0.00621557372817221, 0.00425520359585793, 0.00692384201718875, 0.00486211080732891, 0.00089029087751351, 0.0129624864137572, 0.00261418199497039, 0.00752442992607212, 0.00689887882046544, 0.00987995102314728, 0.00504793348921874, 0.00482111735730959, 0.00963732431899178, 0.00617104252791857, 0.0083900410469978, 0.00662229644462707, 0.00612973679503377, 0.00881920986708858, 0.0100925692602712, 0.0081477488720749, 0.00840705306981286, 0.00609568037628165, 0.0061105818615996, 0.00816162181738723, 0.00837965998751208, 0.0102826552802113, 0.0074134231730932, 0.00861997236733968, 0.00906144215028246, 0.00692304142052871, 0.0102260771876649, 3973730, 2391575.75, 2840943.5, 2040943, 1982715.25, 1618162.25, 820082.25, 1658596.75, 1762794, 93439.5, 218481.25, 2332477, 725835.5, 811575.25, 292223, 153862.25, 1272367.25, 734199, 421404.5, 189047.5, 529102, 56833, 125856.25, 598893.75, 258240, 159086.25, 122863, 404699.5, 453514.5, 545028, 1233365.5, 1192758.25, 147563.25, 247293, 1074838.25, 459227.5, 202332, 377401.25, 1876752.5), .Dim = c(39L, 2L), .Dimnames = list(NULL, c("avg_cost_2012", "asset_2012"))) > dput(cbind(avg_cost_2012, asset_2012)) structure(c(0.00321993102627396, 0.00348666071050862, 0.00514500670171978, 0.00635893976088426, 0.00625304477271035, 0.00544003417356045, 0.00421346233925224, 0.00488341453548038, 0.00621557372817221, 0.00425520359585793, 0.00692384201718875, 0.00486211080732891, 0.00089029087751351, 0.0129624864137572, 0.00261418199497039, 0.00752442992607212, 0.00689887882046544, 0.00987995102314728, 0.00504793348921874, 0.00482111735730959, 0.00963732431899178, 0.00617104252791857, 0.0083900410469978, 0.00662229644462707, 0.00612973679503377, 0.00881920986708858, 0.0100925692602712, 0.0081477488720749, 0.00840705306981286, 0.00609568037628165, 0.0061105818615996, 0.00816162181738723, 0.00837965998751208, 0.0102826552802113, 0.0074134231730932, 0.00861997236733968, 0.00906144215028246, 0.00692304142052871, 0.0102260771876649, 3973730, 2391575.75, 2840943.5, 2040943, 1982715.25, 1618162.25, 820082.25, 1658596.75, 1762794, 93439.5, 218481.25, 2332477, 725835.5, 811575.25, 292223, 153862.25, 1272367.25, 734199, 421404.5, 189047.5, 529102, 56833, 125856.25, 598893.75, 258240, 159086.25, 122863, 404699.5, 453514.5, 545028, 1233365.5, 1192758.25, 147563.25, 247293, 1074838.25, 459227.5, 202332, 377401.25, 1876752.5), .Dim = c(39L, 2L), .Dimnames = list(NULL, c("avg_cost_2012", "asset_2012"))) > dput(cbind(y1,x2)) structure(c(0.0121168460097573, 0.0120535083414464, 0.0119905029411228, 0.0119278298087863, 0.011865488944437, 0.0118034803480749, 0.0117418040197, 0.0116804599593122, 0.0116194481669117, 0.0115587686424983, 0.0114984213860722, 0.0114384063976332, 0.0113787236771814, 0.0113193732247168, 0.0112603550402394, 0.0112016691237491, 0.0111433154752461, 0.0110852940947302, 0.0110276049822015, 0.0109702481376601, 0.0109132235611057, 0.0108565312525386, 0.0108001712119587, 0.010744143439366, 0.0106884479347604, 0.010633084698142, 0.0105780537295108, 0.0105233550288669, 0.01046898859621, 0.0104149544315404, 0.010361252534858, 0.0103078829061627, 0.0102548455454547, 0.0102021404527338, 0.0101497676280001, 0.0100977270712536, 0.0100460187824943, 0.00999464276172216, 0.00994359900893722, 0.00989288752413946, 0.0098425083073289, 0.00979246135850551, 0.00974274667766932, 0.0096933642648203, 0.00964431411995847, 0.00959559624308384, 0.0095472106341964, 0.00949915729329613, 0.00945143622038305, 0.00940404741545717, 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1778279.41003892, 1819700.85860998, 1862087.13666287, 1905460.71796325, 1949844.59975805, 1995262.31496888, 2041737.94466953, 2089296.13085404, 2137962.08950223, 2187761.62394955, 2238721.13856834, 2290867.65276777, 2344228.81531992, 2398832.91901949, 2454708.91568503, 2511886.43150958, 2570395.78276886, 2630267.99189538, 2691534.80392691, 2754228.70333817, 2818382.93126445, 2884031.50312661, 2951209.22666639, 3019951.72040202, 3090295.43251359, 3162277.66016838, 3235936.56929628, 3311311.21482591, 3388441.56139203, 3467368.50452532, 3548133.89233576, 3630780.54770102, 3715352.29097173, 3801893.96320561, 3890451.4499428, 3981071.70553498, 4073802.77804113, 4168693.83470336, 4265795.18801593, 4365158.32240167, 4466835.92150963, 4570881.89614875, 4677351.41287198, 4786300.92322638, 4897788.19368447, 5011872.33627272), .Dim = c(201L, 2L), .Dimnames = list(NULL, c("y1", "x2"))) 2013/4/11 David Winsemius <dwinsem...@comcast.net> > > On Apr 10, 2013, at 12:44 AM, jpm miao wrote: > > Hi David, >> >> Many thanks. I try to follow your example and code as follows: >> >> xyplot( avg_cost_2012 ~ asset_2012, >> panel=function(x,y) { >> panel.xyplot(x,y, type="p") >> panel.lines(x2, y1, col="red")},scales=list(x=**list(log=10))) >> >> However, I do see the points "p" of "avg_cost_2012 ~ asset_2012", but do >> not see the line for y1 against x2. y1 and x1 are numeric vectors of the >> same size. How can I fix it? >> > > Without seeing the data it is difficult to enumerate the possible errors > you could be making. > > I say again: > > Your example was not presented in a form that lent itself to easy editing. > Please learn to use dput to present data structures. > > -- David > > > > >> Thnaks >> >> Miao >> >> >> 2013/4/10 David Winsemius <dwinsem...@comcast.net> >> >> On Apr 9, 2013, at 8:21 PM, jpm miao wrote: >> >> Thank you very much. >> >> Could it be done in Lattice package? >> >> >> >> Your example was not presented in a form that lent itself to easy >> editing. Please learn to use dput to present data structures: >> >> xyplot( 4:6 ~ 1:3, >> panel=function(x,y) { >> panel.xyplot(x,y, type="l") >> panel.points(x=c(1.1, 2.1), y=c(4.1, 5.1), col="red") } ) >> >> -- >> David. >> >> >> Thanks, >> >> Miao >> >> >> 2013/4/10 Janesh Devkota <janesh.devk...@gmail.com> >> >> Hi, >> >> This should be fairly easy by using base R graphics. >> >> Lets suppose your first data is represented by (x1,y1) and second data is >> represented by (x2,y2) >> >> You can use the following command. >> plot(x1,y1,type="l") >> points(x2,y2) >> >> Hope it helps. >> >> >> On Tue, Apr 9, 2013 at 8:24 PM, jpm miao <miao...@gmail.com> wrote: >> >> Hi, >> >> How can I plot two curves with distinct x and y vectors? I would like >> to >> join one of them by regular lines and plot the other just by points (no >> lines). Can it be done in regular R graphic tools, say "plot" function? >> Can it be done in Lattice package, say "xyplot" function? >> >> Thanks, >> >> Miao >> >> My data look like this: two curves with different vector size >> >> x y >> 3973730 0.00322 2391576 0.003487 2840944 0.005145 2040943 0.006359 >> 1982715 0.006253 1618162 0.00544 820082.3 0.004213 1658597 0.004883 >> 1762794 0.006216 93439.5 0.004255 218481.3 0.006924 2332477 0.004862 >> 725835.5 0.00089 811575.3 0.012962 292223 0.002614 153862.3 0.007524 >> 1272367 0.006899 734199 0.00988 421404.5 0.005048 189047.5 0.004821 >> 529102 0.009637 56833 0.006171 125856.3 0.00839 598893.8 0.006622 >> 258240 >> 0.00613 159086.3 0.008819 122863 0.010093 404699.5 0.008148 453514.5 >> 0.008407 545028 0.006096 1233366 0.006111 1192758 0.008162 147563.3 >> 0.00838 247293 0.010283 1074838 0.007413 459227.5 0.00862 202332 >> 0.009061 377401.3 0.006923 1876753 0.010226 >> and >> x y >> 50118.72 0.012117 51286.14 0.012054 52480.75 0.011991 53703.18 >> 0.011928 >> 54954.09 0.011865 56234.13 0.011803 57543.99 0.011742 58884.37 0.01168 >> 60255.96 0.011619 61659.5 0.011559 63095.73 0.011498 64565.42 0.011438 >> 66069.34 0.011379 67608.3 0.011319 69183.1 0.01126 >> >> [[alternative HTML version deleted]] >> >> ______________________________**________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >> PLEASE do read the posting guide >> http://www.R-project.org/**posting-guide.html<http://www.R-project.org/posting-guide.html> >> and provide commented, minimal, self-contained, reproducible code. >> >> >> >> >> [[alternative HTML version deleted]] >> >> ______________________________**________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >> PLEASE do read the posting guide http://www.R-project.org/** >> posting-guide.html <http://www.R-project.org/posting-guide.html> >> and provide commented, minimal, self-contained, reproducible code. >> >> David Winsemius, MD >> Alameda, CA, USA >> >> >> > David Winsemius, MD > Alameda, CA, USA > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.