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POR data.frame columns with the same name check.names=FALSE not working
 

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  1. POR data.frame columns with the same name check.names=FALSE not working
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    <p>Im initializing a data.frame as the following:</p> <pre><code>combdat &lt;- data.frame(matrix(nrow=50), check.names=FALSE) </code></pre> <p>In a loop I want now to fill in additional columns. This happens like this:</p> <pre><code>combdat[,mkr] &lt;- mkrgeno </code></pre> <p>Where mkr is a certain character and mkrgeno a vector of the same size. However there are certain values for mkr which are the same. I need to keep them. Right now they will just be overwritten. Athough I set check.names=FALSE</p> <p>Do anybody has an advice for me. Thanks</p> <p>Rich </p> <hr> <p>Ok thank you I will try to ask my question in more detail.</p> <p>Im having the list markerinfo with certain information about the markers:</p> <pre><code>&gt; markerinfo marker chr pos lod pheno 1 c1m22 1 213.2983 9.1495699 RAPGEF2 2 c4m14 4 131.0000 8.5438345 CACNA1E 3 c1m8 1 63.0000 9.0002544 CACNB3 4 c3m22 3 228.0000 7.1775450 RASA2 5 c1m31 1 305.0000 6.4748053 CACNG6 6 c3m22 3 230.3826 6.5638616 PRKCG 7 c4m11 4 103.0000 6.3592497 CACNA1B 8 c4m26 4 256.0000 8.5450810 CACNA1F 9 c4m14 4 139.0000 5.3257424 CACNG3 10 c2m1 2 0.0000 7.8765658 CACNA1G 11 c2m2 2 13.0000 10.0825268 PRKCA 12 c2m16 2 159.0000 9.2080541 CACNA1D 13 c4m20 4 191.7279 7.2340899 SOS2 14 c2m3 2 16.0000 5.9131295 CACNG5 15 c3m22 3 230.3826 6.7322605 CACNA1A 16 c3m8 3 75.4555 1.1470464 RASGRF1 17 c3m8 3 70.0000 1.9991043 MRAS 18 c1m30 1 288.2238 1.8443845 RRAS2 19 c4m16 4 157.0000 2.1455832 RASGRP3 20 c3m30 3 320.0000 1.9721441 HRAS 21 c1m10 1 90.0000 1.8833757 RASGRF2 22 c3m16 3 161.6888 2.1163401 NRAS 23 c3m20 3 201.9852 2.6265899 RASGRP1 24 c3m30 3 319.4977 1.3677933 KRAS 25 c3m22 3 230.3826 0.7012214 RASGRP2 </code></pre> <p>Another data.frame is genotypes:</p> <pre><code> c3m1 c3m2 c3m3 c3m4 c3m5 c3m6 c3m7 c3m8 c3m9 c3m10 c3m11 c3m12 c3m13 c3m14 c3m15 c3m16 c3m17 c3m18 c3m19 c3m20 c3m21 c3m22 c3m23 c3m24 c3m25 c3m26 c3m27 c3m28 V1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 2 2 2 V2 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 V3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 V4 1 1 1 1 2 2 1 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 V5 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 V6 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 V7 2 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 1 1 1 1 2 2 2 2 V8 2 2 2 2 2 2 2 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 V9 2 2 2 2 2 1 1 1 1 1 2 2 2 2 2 2 2 2 2 1 1 1 1 1 2 2 2 2 V10 2 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 2 2 2 2 2 2 2 2 V11 1 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 V12 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 V13 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 V14 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 2 2 2 2 2 V15 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 1 1 1 V16 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 V17 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 V18 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 2 2 2 2 2 V19 2 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 V20 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 1 1 1 V21 2 2 2 2 2 2 2 1 1 1 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 V22 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 V23 2 2 2 2 1 1 1 1 1 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 2 2 V24 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 V25 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 V26 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 V27 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 V28 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 2 2 2 2 V29 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 V30 2 2 2 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 V31 2 2 2 2 2 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 V32 1 1 1 1 1 1 1 1 2 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 V33 2 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 1 1 1 V34 1 2 2 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 2 V35 1 1 1 1 1 1 2 2 2 2 1 1 2 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 V36 1 1 1 1 2 2 1 2 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 1 1 1 V37 2 2 2 1 1 2 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 1 1 V38 2 2 2 2 2 2 2 2 1 1 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 V39 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 1 V40 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 1 1 1 V41 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 V42 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 V43 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 V44 2 2 2 2 2 1 1 1 1 1 1 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 V45 2 1 1 1 2 2 2 2 2 2 2 2 2 2 1 1 1 2 2 2 2 2 2 2 2 2 2 1 V46 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 V47 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 V48 1 1 1 1 1 1 1 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 2 2 2 V49 2 2 2 2 2 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 V50 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 2 2 c3m29 c3m30 c3m31 c3m32 V1 2 2 2 2 V2 1 1 1 1 V3 2 2 2 1 V4 1 1 1 1 V5 1 1 2 2 V6 1 1 1 2 V7 2 2 2 2 V8 1 1 1 1 V9 2 2 2 2 V10 2 2 2 2 V11 2 2 2 2 V12 1 2 2 2 V13 2 2 2 2 V14 2 2 2 2 V15 1 1 1 1 V16 1 1 1 1 V17 1 1 1 1 V18 2 2 2 2 V19 2 1 1 1 V20 1 1 1 1 V21 2 2 2 2 V22 1 1 1 1 V23 2 2 2 2 V24 2 2 2 2 V25 2 2 2 2 V26 1 1 1 1 V27 1 1 1 1 V28 2 2 1 1 V29 1 1 1 1 V30 1 1 2 2 V31 2 2 2 2 V32 1 1 2 2 V33 1 1 2 2 V34 1 1 1 1 V35 1 1 1 1 V36 1 1 1 1 V37 1 1 1 1 V38 1 2 2 2 V39 1 1 1 1 V40 1 1 1 1 V41 2 2 2 2 V42 2 1 1 1 V43 1 1 1 1 V44 1 1 1 1 V45 2 2 2 2 V46 1 1 2 2 V47 2 2 2 2 V48 2 2 2 2 V49 2 2 2 1 V50 2 2 2 2 </code></pre> <p>and another one with the name: phenotype</p> <pre><code>&gt; phenotype RAPGEF2 CACNA1E CACNB3 RASA2 CACNG6 PRKCG CACNA1B CACNA1F CACNG3 CACNA1G PRKCA CACNA1D SOS2 1 -0.247595001 0.053503367 -0.236269632 -0.198393959 0.30226149 0.034393665 0.13201747 -0.055123952 -0.4775578 -0.16406024 -0.601510801 -0.74241018 0.003437553 2 0.076554542 -0.296400594 -0.204362787 -0.083725326 -0.51309205 0.008746035 0.49724817 -0.141674911 -1.5563250 -0.28751925 -0.152694444 -0.83115868 -0.520475369 3 -0.327202333 0.001312523 0.013790261 0.074576720 0.23008238 -0.050573176 -1.04673228 -0.330784609 0.5481467 -0.84388147 -0.743829290 -0.55692338 -0.542878574 4 -0.007847655 -0.138671725 -0.149620332 -0.819362934 -0.11386931 -0.041000430 -0.16221890 0.157342905 -0.4304658 -0.04136305 0.140892816 -1.43966569 -0.502489598 5 -0.288891373 -0.453451438 -0.203315372 -0.432877782 -0.32638230 -0.079509208 -1.07767644 -0.239044759 -2.6685509 -0.34506117 -0.601583079 0.06418028 -0.447845591 6 -0.819438873 -0.186128793 0.010946957 -0.541158848 -0.05467246 -0.091256991 -0.14121849 0.120465369 -0.7412188 -1.45824366 -0.742750372 -0.65559390 -0.024424118 7 0.056713692 0.099570795 -0.140081980 -0.249675499 -0.54844575 -0.142449430 -0.17804642 -0.193517791 -2.8180865 -0.37995253 0.521983735 -0.13506427 -0.496292115 8 -0.415822882 -0.234501809 0.045971377 -0.501303875 0.10064320 -0.123989099 -0.18390119 -0.272184476 -2.3932719 -0.17459784 0.041698873 -0.58292029 -0.030478251 9 0.216626060 -0.055785714 0.102465484 -0.296597579 -0.63187464 -0.043925124 -0.73290772 0.086194905 1.2253629 -0.26787759 -0.186213820 0.21540883 -0.409209752 10 -0.172889555 -0.359033332 0.059976873 -0.122362142 -0.57597543 -0.039439871 -0.37358470 0.046816519 -0.2194930 0.44557540 -0.008582745 0.04681091 -0.151858633 11 -0.799370277 -0.390225142 0.092905430 -0.539360659 -0.46040156 -0.080978159 -1.35509517 -0.183647290 -2.0786691 -0.53105091 -0.537946690 0.15503760 -0.250068125 12 0.165948180 0.084380299 0.072471995 -0.257986088 -0.31888913 -0.113180297 0.09108201 0.081261902 0.4084345 -0.32413522 -0.410390899 -0.52705454 -1.311315609 13 -0.151699952 -0.345160750 0.024127039 -0.199062545 -0.35710011 -0.101713530 -1.52298182 -0.131191677 -1.4151031 0.13075608 -0.112750159 -0.09761248 -0.448443675 14 -0.064050378 0.058414370 -0.049131860 -0.438722188 0.46253165 -0.085058699 -0.48949571 0.312177213 -0.4383044 -0.13332403 -0.952470633 -0.10016991 -0.738450721 15 -0.252830650 -0.021360957 -0.054884002 -0.132821999 0.24029851 0.032595174 -0.28201065 -0.134742072 -1.2429264 -0.20965743 -0.266581307 -0.65461311 -0.026886166 16 -0.302939138 -0.237659778 -0.173316135 -0.433111666 -0.49102642 -0.169569976 -0.14919939 -0.024873565 -1.7566415 -0.11697234 0.250150721 -1.00971694 -0.314707578 17 -0.027397752 -0.220213983 -0.020104605 -0.260175395 0.36690904 -0.015439485 -1.64675598 -0.341331701 1.1341947 0.19718194 0.040220128 0.21718090 -1.082049767 18 -0.084826002 0.075130631 0.085664240 -0.516533930 0.05420691 -0.111368755 -0.54866864 -0.246852143 -0.1673859 0.54867571 -0.491091471 -0.64419595 -0.417058365 19 0.076420274 -0.198417039 -0.209613388 0.275960810 0.20461276 -0.016330089 -2.44087703 0.016533904 -0.9745876 -0.32916054 -0.886846124 -0.03904152 0.423648190 20 -0.341758547 0.027599210 -0.238241196 -0.122481806 -0.53322283 -0.041335840 -0.09748360 0.109385536 0.7184183 -0.42004508 -0.297868841 0.02331034 -0.176874436 21 -0.729225854 -0.366947864 -0.151319971 -0.766507590 -0.93109904 -0.120188998 -0.82125694 -0.069669901 -1.8344670 0.19827344 -0.121866097 -0.64905504 -0.309849450 22 -0.375156253 0.023848706 -0.084361744 -0.444354626 -0.66319529 -0.062962171 -1.20604478 0.168518715 -1.5501544 0.47227482 -0.209564431 -0.47454099 -0.057838134 23 -0.254021124 0.169933007 -0.110124957 -0.321290108 -0.25074586 -0.002748504 -1.67191531 -0.213003128 -0.6702960 0.06601284 0.419818706 -0.24339589 -0.900376250 24 -0.115377716 -0.069793465 -0.082424787 -0.207820569 -0.62402649 -0.057047717 -0.28566344 -0.343388680 -0.9703774 -0.05548410 -0.226484770 -0.73331271 -0.699834400 25 -0.049844861 -0.005899354 -0.014298567 -0.058495200 -1.32936915 -0.080242402 0.21312235 -0.469668455 0.3296792 -0.40816963 0.169496411 -0.06951457 0.678321997 26 -0.722770403 0.103085237 -0.107956995 -0.453234395 -0.79713145 -0.010894595 -0.02192121 -0.183129347 -0.4671715 -0.24454782 0.140808502 -0.16672267 -0.297979736 27 0.177156038 -0.352948087 0.126134036 0.009680394 -0.53116648 0.083284652 -2.56881648 0.040743856 -1.3867899 -0.30346968 -0.943847562 -1.27918873 0.074066589 28 0.031014348 -0.096368514 -0.191044463 -0.150761960 -0.34080995 -0.082406406 0.81100676 0.081447585 -0.4011565 0.46952945 -0.126056643 -0.39482906 0.487768932 29 -0.175479066 -0.406803418 0.060241581 -0.630242987 -0.04177606 -0.099102694 -1.77644280 -0.220901308 -1.0807459 0.25538082 -0.127072554 -0.28244767 0.077844220 30 0.067184617 0.135066792 0.061038582 -0.005188869 -0.28276832 0.002666423 1.11312551 -0.261943690 0.9199570 -0.65210434 -0.308977705 -0.74132895 -0.089614346 31 0.077892704 -0.235195609 -0.067162872 -0.207711784 0.02699528 -0.005653163 -1.61297664 -0.338387970 -0.2485027 -0.10887056 0.343968213 0.09719695 -0.452561385 32 0.142403286 -0.026388719 -0.065678040 -0.362428853 -0.19390021 -0.130526170 -1.21100755 -0.350326700 -1.2818116 -0.72894545 -0.654865598 -0.75242740 -0.379810157 33 -0.001080476 -0.290697156 0.011388500 0.139363744 0.27888665 -0.100895638 0.39220173 -0.346996776 -0.7863979 -0.52910994 -0.558958463 0.31595835 -0.710613795 34 0.224116945 -0.185072933 0.086483429 -0.348059767 -0.25522243 -0.126570401 -2.48462353 -0.402525824 -1.8282210 -0.71284302 0.003787240 0.33055507 -0.485361798 35 -0.254131666 -0.181962657 0.134810146 -0.144177046 -0.42946649 0.006665253 -1.31883436 -0.233832760 -0.8644715 0.02096703 -0.386481233 -0.72159749 0.091061479 36 0.078173409 0.069614224 -0.027333201 -0.338889055 -0.08953657 -0.048366331 -1.05945722 -0.005647055 -0.5515289 -0.99689326 -0.499325729 0.25250542 -0.630618039 37 -0.383263187 0.050446587 0.042835279 -0.187032348 0.10888308 -0.044352563 -0.14934550 -0.123438315 1.1205628 -0.59339281 -0.824166347 -0.50010055 0.362946526 38 0.155765532 -0.095113895 -0.028232352 -0.341382444 -0.28993519 -0.063198747 -0.74942280 -0.262175258 0.3796110 -0.64149439 0.038476888 -0.15428205 -0.070443511 39 -0.352871059 -0.154463839 -0.040044333 -0.215973910 -0.70080752 -0.030485881 -1.59167190 -0.018228487 -2.7482696 -0.81423002 -0.990327664 0.02797165 -0.961506882 40 -0.027887194 -0.500539888 0.101565681 0.026081728 -0.37318368 0.030271868 -1.56720146 0.114323657 -0.9604690 -0.83847006 -0.616284751 -0.22106937 -0.817229295 41 -0.116324675 0.141997059 0.011066622 -0.637030608 -0.06816308 -0.139064501 -0.21884155 -0.133162057 0.3200013 0.40302112 0.196245908 -0.44456908 -0.060186732 42 -0.011563437 -0.097908807 0.010180963 -0.356297511 0.25810039 -0.053495480 -1.23448236 -0.075325095 -2.1873328 0.25853977 0.024608949 -0.24320912 -0.865864499 43 -0.473180079 -0.175778274 -0.153653640 -0.492266908 -0.72545341 -0.089492114 -1.52409341 -0.113111386 -1.8098738 -0.23081989 -0.143859625 -0.33247673 -0.930370376 44 -0.301982544 -0.276093471 -0.172829397 -0.165867999 -0.09716023 -0.074000281 -1.29494575 -0.284384336 -0.3640354 -0.98837691 -0.583165895 -0.22244048 -0.389223572 45 -0.035837132 0.089487455 0.043398895 -0.261321417 -0.14740720 0.086069259 0.50424191 -0.435393685 -0.6916679 0.08837666 -0.764933697 -0.15527777 -0.180500006 46 -0.283577759 0.033526022 -0.053893390 -0.276804767 -0.38757922 0.049021497 1.11676571 -0.165603000 -1.4368988 0.08869823 0.165745244 -0.43123024 -0.409150399 47 -0.579455295 0.045838903 -0.174331523 -0.503703045 -0.51013334 -0.018538629 0.24724654 -0.382273065 -0.2014670 -0.67669484 -0.653328789 0.46375442 -0.481676959 48 -0.308546234 -0.047014302 -0.005449878 -0.350135893 -0.16086990 -0.090971861 0.11738860 -0.360362823 -0.3117357 -0.92804263 -0.430577252 0.38097823 -0.426938081 49 -0.165320629 -0.436561117 -0.022108887 -0.412614936 0.20412609 0.003279052 -0.77152209 0.211526672 -0.5851201 -0.18290809 -0.284230585 0.30449400 -0.666071768 50 -0.142082710 0.195017303 -0.121702032 0.077439475 -0.47426071 0.055089372 -0.82942407 -0.249394753 0.5139078 -0.52850805 -0.707774591 0.02486043 -0.529796003 CACNG5 CACNA1A RASGRF1 MRAS RRAS2 RASGRP3 HRAS RASGRF2 NRAS RASGRP1 KRAS RASGRP2 1 -1.08126573 -0.10466468 0.16163511 5.2884330 1.4807031 1.367194844 -5.3632946 8.854311810 -1.590394 5.46299955 3.39043935 -0.6188210 2 -0.20103987 0.02859079 -4.04956365 6.8065804 9.7156082 2.358011759 7.5529682 -1.371397362 5.512496 2.38105873 -4.31024938 -2.9758226 3 -0.56279304 -0.49473575 0.93100155 13.3018509 4.7819748 -0.830227776 7.1269586 1.639458379 5.579675 1.92566166 -10.04349925 -3.9823054 4 -0.17721434 -0.13495743 -4.18967059 7.7963292 2.4795673 0.849823268 16.4843104 1.625120794 2.538493 -1.96693411 -1.06650587 2.9583095 5 -0.21284845 -0.41776136 11.57622331 7.8696230 25.3334550 0.525216862 21.7506102 1.804542827 27.144583 1.33103943 14.91107071 4.3580818 6 0.26966929 -0.57921249 -3.81118227 -1.7711352 2.6537342 2.381451473 0.3413279 0.002745248 11.787951 -2.72785260 5.81449916 1.1492321 7 -0.05721931 -0.61373510 3.20661730 17.0161591 8.3848898 9.128073635 10.0460744 7.427485748 6.423633 8.58609614 5.14330065 0.2455554 8 -0.23483474 -0.30007284 7.44882239 -4.1520715 2.5809601 0.007694412 14.4026853 6.009882772 1.973626 5.85650616 -4.99508071 1.4778224 9 -0.30401185 -0.23601064 0.61950230 2.1421284 15.4745282 -0.515190084 5.7490335 -3.364087292 12.305191 0.68371891 0.70766236 0.7915359 10 0.03069795 0.17789637 5.48077430 0.1797954 1.5320631 -0.612153126 -11.1569228 2.314820314 5.364269 -1.03632032 7.25132489 3.9454336 11 -0.67484374 -0.24910596 2.32388243 17.9765927 0.9794240 10.700691074 7.1050062 4.714036496 15.891228 -4.31287607 7.62253612 5.1733717 12 -0.23985708 -0.38664533 5.49113542 6.9358357 20.5868853 -0.490459011 19.0955840 -0.187311045 -11.228341 -2.01774050 2.46021292 2.9611938 13 -0.17565650 -0.26472802 -3.66145265 12.2382531 18.9846037 -1.676584866 15.2614596 4.241818360 11.685053 -1.41970648 -8.67808713 5.7914843 14 -0.66123979 -0.73403494 -1.47051990 -9.4605317 7.9187982 1.649205050 5.5260746 2.236724615 -5.689584 0.08904104 -7.61932439 -2.3718501 15 -0.25993662 -0.36155808 0.47540397 0.2766627 -12.6713829 3.527719828 16.7505891 -4.031521995 -6.139259 1.16441221 -6.18252342 1.0479288 16 -0.03146197 -0.45563938 7.13155463 -8.8844448 10.2941475 6.470602700 11.8131578 2.036032005 -3.021039 1.27196373 16.98691230 5.9919408 17 0.15062972 -0.14899016 -5.17104361 27.1526356 10.6209803 8.107969651 11.0779712 5.968404297 13.698359 2.93330073 20.28969711 -1.1704762 18 -0.25937867 -0.39833982 -0.43088475 -5.6251327 11.3899990 -0.318345728 3.1713730 0.760007843 5.409240 -3.68088307 -10.11778528 4.8975433 19 -0.87451283 -0.05959917 -2.53664942 29.4869423 19.1536567 -4.591416100 27.3860278 3.156809354 7.025175 4.72109032 26.79484568 2.0115602 20 -0.67964587 0.27642731 -7.18238442 5.0073861 9.8321189 0.380995576 1.9077432 -0.585178489 -3.439573 2.59522601 -8.74681890 -0.6800699 21 -0.49629567 -0.56934938 2.23942230 22.8194269 5.2645346 -2.428571330 6.1776451 2.611162565 18.775754 1.10296129 12.87445853 -4.3216192 22 0.00724720 -0.70303883 -1.43444204 1.8773895 9.1167518 3.582722007 9.7741579 0.028240658 4.460745 2.27952502 14.99544664 -0.9230170 23 -0.10643328 -0.67769320 6.75704004 3.0189378 -0.9081308 2.255448682 9.2941211 2.151332408 -2.619788 1.16186606 -5.75794077 3.8895972 24 0.35597240 0.06858421 -1.72085135 10.4151256 -0.1591937 1.167127427 4.6532448 0.296189520 -10.270647 -0.35558702 16.91723551 -1.0866788 25 0.10449039 0.22289001 6.69617230 6.2155570 10.8483718 -1.374067174 3.7386102 1.255906864 5.792042 6.56478190 5.65215300 4.2867125 26 0.11049705 -0.26850303 -2.60011742 1.7766863 -7.9563835 -1.795606943 2.2133029 -4.103202628 5.503321 -1.80881337 6.71979360 5.2476183 27 -0.43247910 0.06570798 3.12944595 26.3058088 23.7036553 1.572823145 41.4230817 -3.123108372 44.661343 6.00690771 12.20911459 9.3681238 28 -0.06832140 -0.47558618 -0.05898754 10.2791424 -1.2785850 -1.881395391 -7.0972730 0.283137062 11.300423 -5.42201881 7.69205240 3.6647710 29 -0.14796844 -0.31242843 -7.13439956 8.8376481 13.4659132 1.461275344 4.1133381 2.784203145 12.496497 0.41425657 6.27234388 3.2425929 30 0.33267383 0.07562561 4.30418636 11.5135055 -5.5710269 0.595018978 20.2956727 -1.999030542 23.338891 1.79473828 25.14227894 3.5624672 31 -0.13135999 0.03429504 3.12945679 -1.7988365 -0.8664450 -0.925567331 -3.7275570 -3.950239410 7.792904 -2.94586593 -4.80659759 -5.1385471 32 -0.65278805 -0.24207506 -0.80329023 -1.5381825 -7.0147661 -1.371024797 11.1363243 -0.703554423 9.848548 0.77097874 -0.01193523 2.0874871 33 -0.27298162 0.36527044 -0.44873371 -3.2108142 15.4038635 5.626084802 7.3734731 -0.818813872 -2.329578 -1.22258273 5.73140635 7.6681611 34 0.24697363 0.04004560 3.55251026 10.9369448 17.4436080 4.964061402 -4.1149183 -0.594522702 30.979488 1.34426338 10.79636312 3.7373761 35 -0.23005566 0.07016680 8.61098096 7.2749938 6.1983372 -1.931047305 11.2845415 -0.255800684 -12.768165 0.65177004 7.72055325 -9.8395187 36 0.07745730 -0.07007581 4.21970890 16.3408506 13.6502613 -2.764005594 4.7150426 -3.352393845 7.726116 1.05046858 -11.41243533 -2.5015196 37 -0.68399493 0.23974508 -0.17544534 -5.5184731 5.8961029 -4.510778693 17.5402976 4.658695314 3.495335 4.32696570 6.21866892 2.9641552 38 -0.04013683 -0.78642712 -3.96729208 3.4475599 -1.2403075 2.536697158 -7.7241472 4.334766041 -9.963346 -0.64687173 17.34032967 1.8524765 39 -0.44495174 -0.19879868 1.92668453 6.8470802 21.4526006 0.455531935 27.9513567 -1.370725185 1.955942 3.59422972 24.79601058 -4.6690074 40 -0.13325651 -0.17514241 -2.82513210 21.0013199 -2.2907174 -1.494103403 18.4596623 2.297606605 -2.724228 2.31410400 0.75443901 0.1896653 41 -0.04049955 -0.30950401 1.08764034 12.0828373 3.2890383 5.742280231 -11.8575537 1.698274301 -2.021231 1.42562103 0.06413767 2.3617709 42 0.11173966 -0.66458170 7.85442282 9.1662041 30.2460296 1.990946110 16.4452737 5.687569677 11.302004 8.06994470 23.60159352 -3.6748499 43 0.22047452 -0.53158026 0.50466780 19.9152823 8.9427850 -0.637162403 11.3976456 4.603380514 8.462772 -1.49806588 15.98236455 2.5163547 44 -0.36319770 -0.22408093 2.86754885 1.5941018 -7.0354188 0.740816157 5.6042852 -1.145312539 -4.309770 -4.60556357 8.99063162 4.1639967 45 -0.45275458 -0.08379418 -5.95422943 16.4861889 15.9877620 -0.807411042 8.0873218 4.025147480 -3.494243 1.36140592 0.17167116 0.5730415 46 -0.02849445 -0.22411911 3.18637465 7.3235045 12.1141402 -2.049762449 -5.7373841 1.660312041 16.389530 4.32823877 2.31488480 -1.0958932 47 -0.46860175 -0.13260285 4.40493794 8.4949938 3.9516605 -1.243255229 -1.6795379 -0.013959038 4.140808 -3.39817037 4.27670204 -1.6862091 48 -0.41927264 -0.70467223 3.69590189 -6.4179034 -2.8701968 2.692561594 20.7038768 0.392052464 -2.993030 1.25742496 -5.18694095 -6.7182529 49 -0.02718469 -0.35311492 1.12532546 0.4862352 0.3023580 -1.603408864 1.2115986 0.845596944 9.048511 3.92056012 -8.67131197 -2.3896462 50 -0.32380034 0.06106854 3.30870522 -4.9429947 15.9727621 -0.159746543 7.7858779 1.608172511 4.614853 1.15746997 -3.63746568 -1.5704711 </code></pre> <p>And now I want to create a new data.frame which is a combination of genotype and phenotype. In particular that one column is the genotype of the first marker (in markerinfo) and the next column is the corresponding phenotype in phenotypes. I want to do this of course for all markers in markerinfo. However as you can see there are a few markers in duplicate form. Nevertheless these should be considered as different markers and still have a column. I need this alternating form because of the further processing of the data.</p> <p>Thanks in advance if this can help you answer my question</p>
    singulars
    1. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. PTQuestion
    1. USRichard A. Schäfer
    1. USRichard A. Schäfer
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. COI advise you not to set `check.names=FALSE`. Without a reproducible example (including the desired result) it's hard to give better advice.
      singulars
      1. POR data.frame columns with the same name check.names=FALSE not working
      1. USRoland
    2. COThank you. I tried to explain what I want to achieve
      singulars
      1. POR data.frame columns with the same name check.names=FALSE not working
      1. USRichard A. Schäfer
    3. COWell I just added the phenovalue to each marker via paste. Well the data.frame looks a bit odd. But it works in any case. Thanks
      singulars
      1. POR data.frame columns with the same name check.names=FALSE not working
      1. USRichard A. Schäfer
 

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