Hi David,
Thanks. How can I make the graph in log scale?
Thanks
Miao
2013/4/11 David Winsemius <dwinsem...@comcast.net>
>
> On Apr 10, 2013, at 6:11 PM, jpm miao wrote:
>
> 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,
>
>
> I've named the first object xy and the second object y1x2
>
> xyplot( avg_cost_2012 ~ asset_2012, data=as.data.frame(xy),
> panel=function(x,y) {
> panel.xyplot(x,y, type="p")
> panel.points( x=y1x2[,'x2'], y= y1x2[,'y1'], col="red")} )
>
>
>
> Throwing in the scales argument does make the points from panel.points
> disappear.
>
>
>
> 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,
> 0.00935699087851848, 0.00931026660956695, 0.00926387460860262,
> 0.00921781487562548, 0.00917208741063551, 0.00912669221363276,
> 0.00908162928461716, 0.00903689862358877, 0.00899250023054757,
> 0.00894843410549355, 0.0089047002484267, 0.00886129865934705,
> 0.00881822933825459, 0.00877549228514933, 0.00873308750003123,
> 0.00869101498290033, 0.00864927473375661, 0.00860786675260009,
> 0.00856679103943074, 0.00852604759424859, 0.00848563641705362,
> 0.00844555750784583, 0.00840581086662524, 0.00836639649339183,
> 0.00832731438814562, 0.00828856455088657, 0.00825014698161472,
> 0.00821206168033005, 0.00817430864703257, 0.0081368878817223,
> 0.00809979938439918, 0.00806304315506327, 0.00802661919371454,
> 0.00799052750035301, 0.00795476807497865, 0.00791934091759149,
> 0.0078842460281915, 0.0078494834067787, 0.0078150530533531,
> 0.00778095496791469,
> 0.00774718915046345, 0.00771375560099939, 0.00768065431952253,
> 0.00764788530603284, 0.00761544856053037, 0.00758334408301507,
> 0.00755157187348694, 0.00752013193194602, 0.00748902425839228,
> 0.00745824885282571, 0.00742780571524633, 0.00739769484565418,
> 0.00736791624404916, 0.00733846991043136, 0.00730935584480073,
> 0.0072805740471573, 0.00725212451750105, 0.00722400725583199,
> 0.00719622226215011, 0.00716876953645541, 0.00714164907874794,
> 0.00711486088902762, 0.0070884049672945, 0.00706228131354857,
> 0.00703648992778981, 0.00701103081001822, 0.00698590396023384,
> 0.00696110937843665, 0.00693664706462666, 0.00691251701880381,
> 0.00688871924096819, 0.00686525373111974, 0.00684212048925849,
> 0.00681931951538441, 0.0067968508094975, 0.00677471437159781,
> 0.00675291020168529, 0.00673143829975996, 0.00671029866582183,
> 0.00668949129987087, 0.0066690162019071, 0.00664887337193053,
> 0.00662906280994112, 0.00660958451593892, 0.0065904384899239,
> 0.00657162473189606, 0.00655314324185539, 0.00653499401980194,
> 0.00651717706573567, 0.00649969237965659, 0.00648253996156468,
> 0.00646571981145995, 0.00644923192934242, 0.00643307631521209,
> 0.00641725296906895, 0.00640176189091297, 0.00638660308074418,
> 0.00637177653856259, 0.00635728226436819, 0.00634312025816097,
> 0.00632929051994092, 0.00631579304970808, 0.00630262784746244,
> 0.00628979491320396, 0.00627729424693267, 0.00626512584864858,
> 0.00625328971835167, 0.00624178585604192, 0.00623061426171939,
> 0.00621977493538403, 0.00620926787703585, 0.00619909308667488,
> 0.00618925056430109, 0.00617974030991447, 0.00617056232351507,
> 0.00616171660510281, 0.00615320315467778, 0.00614502197223991,
> 0.00613717305778924, 0.00612965641132575, 0.00612247203284944,
> 0.00611561992236033, 0.0061091000798584, 0.00610291250534367,
> 0.00609705719881611, 0.00609153416027573, 0.00608634338972257,
> 0.00608148488715655, 0.00607695865257775, 0.00607276468598614,
> 0.00606890298738169, 0.00606537355676445, 0.00606217639413439,
> 0.00605931149949152, 0.00605677887283583, 0.00605457851416734,
> 0.00605271042348603, 0.00605117460079189, 0.00604997104608494,
> 0.00604909975936518, 0.00604856074063263, 0.00604835398988726,
> 0.00604847950712906, 0.00604893729235803, 0.00604972734557423,
> 0.0060508496667776, 0.00605230425596814, 0.00605409111314588,
> 0.00605621023831082, 0.00605866163146293, 0.00606144529260223,
> 50118.7233627273, 51286.1383991365, 52480.7460249772, 53703.1796370253,
> 54954.0873857625, 56234.1325190349, 57543.9937337157, 58884.365535559,
> 60255.9586074358, 61659.5001861482, 63095.7344480193, 64565.4229034656,
> 66069.3448007596, 67608.2975391982, 69183.0970918936, 70794.5784384139,
> 72443.5960074991, 74131.0241300918, 75857.7575029184, 77624.7116628693,
> 79432.8234724282, 81283.05161641, 83176.3771102671, 85113.8038202378,
> 87096.3589956081, 89125.0938133746, 91201.083935591, 93325.4300796992,
> 95499.2586021437, 97723.7220955811, 1e+05, 102329.299228075,
> 104712.85480509, 107151.930523761, 109647.819614319, 112201.845430196,
> 114815.362149688, 117489.755493953, 120226.443461741, 123026.877081238,
> 125892.541179417, 128824.955169313, 131825.673855641, 134896.288259165,
> 138038.426460289, 141253.754462276, 144543.977074593, 147910.838816821,
> 151356.124843621, 154881.661891248, 158489.319246111, 162181.009735893,
> 165958.690743756, 169824.365246175, 173780.082874938, 177827.941003892,
> 181970.085860998, 186208.713666287, 190546.071796325, 194984.459975805,
> 199526.231496888, 204173.794466953, 208929.613085404, 213796.208950223,
> 218776.162394955, 223872.113856834, 229086.765276777, 234422.881531992,
> 239883.291901949, 245470.891568503, 251188.643150958, 257039.578276886,
> 263026.799189538, 269153.480392691, 275422.870333817, 281838.293126445,
> 288403.150312661, 295120.922666639, 301995.172040202, 309029.543251359,
> 316227.766016838, 323593.656929628, 331131.121482591, 338844.156139203,
> 346736.850452532, 354813.389233575, 363078.054770102, 371535.229097173,
> 380189.396320561, 389045.14499428, 398107.170553498, 407380.277804113,
> 416869.383470336, 426579.518801593, 436515.832240167, 446683.592150963,
> 457088.189614875, 467735.141287198, 478630.092322638, 489778.819368447,
> 501187.233627272, 512861.383991365, 524807.460249773, 537031.796370253,
> 549540.873857625, 562341.325190349, 575439.937337157, 588843.65535559,
> 602559.586074358, 616595.001861482, 630957.344480194, 645654.229034656,
> 660693.448007596, 676082.975391982, 691830.970918936, 707945.784384139,
> 724435.960074991, 741310.241300918, 758577.575029184, 776247.116628693,
> 794328.234724282, 812830.5161641, 831763.771102671, 851138.038202376,
> 870963.589956081, 891250.938133746, 912010.83935591, 933254.300796992,
> 954992.586021437, 977237.220955811, 1e+06, 1023292.99228075,
> 1047128.5480509, 1071519.30523761, 1096478.19614319, 1122018.45430197,
> 1148153.62149688, 1174897.55493953, 1202264.43461741, 1230268.77081238,
> 1258925.41179417, 1288249.55169313, 1318256.73855641, 1348962.88259165,
> 1380384.26460289, 1412537.54462276, 1445439.77074593, 1479108.38816821,
> 1513561.24843621, 1548816.61891248, 1584893.19246111, 1621810.09735893,
> 1659586.90743756, 1698243.65246175, 1737800.82874938, 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
>>
>>
>
> David Winsemius, MD
> Alameda, CA, USA
>
>
>
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
