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,
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 <dwinsemius@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 <dwinsemius@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.devkota@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 <miaojpm@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
>
>

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