Pull data from R and set lines to ignore

I am trying to pull data from my .csv file. I am using this command:

mydata[mydata$Model_Data>3.0,c("Model_Data","Date")] As you can see from the results below, it is counting ALL instances, however, I wish to set this to a 64 line ignore upon first matching instance. How would you suggest I go about adding this 'ignore 'n' line function' ? Snippet of data here:  Model_Data Date 1 8.788927 19670103 2 5.625603 19670104 3 4.853577 19670105 4 4.558040 19670106 5 4.322114 19670109 6 3.011257 19670110 7 6.234991 19670111 8 3.970446 19670112 9 3.144710 19670113 11 3.121524 19670117 15 3.659759 19670123 314 5.034324 19680401 316 4.395672 19680403 320 4.042018 19680410 485 3.647299 19690113 750 3.632671 19700203 785 4.167759 19700325 809 4.520325 19700429 829 4.116661 19700527 1138 7.950606 19710816 1139 3.260332 19710817 1493 3.929633 19730111 1502 3.094216 19730124 1515 3.728929 19730213 1570 3.369889 19730503 1934 3.254718 19741010 2008 3.845721 19750127 2021 3.039563 19750213 2714 4.134147 19771110 2820 6.223156 19780414 2821 7.745218 19780417 2827 4.743293 19780425 2828 3.033731 19780426 2896 4.192446 19780802 2897 4.422611 19780803 2958 4.189009 19781030 2960 4.180385 19781101 3183 3.427686 19790920 3196 4.392758 19791009 3197 6.126659 19791010 3259 3.585480 19800109 3264 3.165421 19800116 3275 3.521842 19800131 3314 3.699859 19800327 3468 5.436180 19801105 3510 4.302425 19810107 3917 3.917657 19820817 3918 4.391777 19820818 3920 3.173933 19820820 3921 3.354431 19820823 3924 3.382543 19820826 3930 3.257510 19820903 3953 3.201376 19821007 3955 3.558906 19821011 3957 3.060809 19821013 3972 3.596346 19821103 4414 4.728832 19840802 4415 6.362526 19840803 4416 3.995445 19840806 4419 3.081986 19840809 4420 3.271267 19840810 4468 3.220568 19841018 4510 3.585172 19841218 4759 3.046736 19851213 4775 5.164241 19860108 4818 3.460404 19860311 4899 3.051578 19860707 4946 5.638514 19860911 4947 3.806834 19860912 5039 6.066431 19870123 5095 3.536616 19870414 5224 5.730824 19871016 5225 11.180750 19871019 5226 6.897399 19871020 5227 4.537756 19871021 5228 3.229374 19871022 5582 3.155970 19890317 5728 6.600688 19891013 5729 6.704284 19891016 5931 4.177266 19900803 6046 4.380562 19910117 6257 3.193782 19911115 6480 3.983774 19921005 6533 3.139862 19921218 6572 4.023227 19930216 6574 3.056474 19930218 6605 3.035592 19930402 6637 3.505759 19930519 6819 3.674848 19940204 6857 3.853518 19940331 6858 3.048781 19940404 7150 3.038139 19950531 7184 5.645942 19950719 7242 3.910097 19951010 7301 3.255512 19960104 7305 3.574967 19960110 7346 5.189287 19960308 7435 5.112708 19960716 7568 3.238173 19970123 7577 3.007577 19970205 7760 5.930298 19971027 7761 7.836272 19971028 7953 3.613173 19980804 7970 3.899849 19980827 7972 5.255132 19980831 7973 5.310272 19980901 7999 3.806758 19981008 8130 3.407432 19990419 8265 3.204466 19991028 8311 3.483312 20000104 8314 3.101274 20000107 8324 3.273686 20000124 8361 3.905785 20000316 8374 5.991309 20000404 8382 4.642381 20000414 8563 4.287756 20010103 8635 3.294676 20010418 8736 3.260459 20010917 8738 3.009326 20010919 8947 3.005049 20020719 8950 4.684101 20020724 9830 3.024372 20060120 9926 3.253976 20060608 10106 6.153445 20070227 10108 3.018874 20070301 10208 3.016551 20070724 10210 5.810003 20070726 10213 3.048170 20070731 10214 3.093512 20070801 10216 3.203759 20070803 10217 3.358139 20070806 10220 3.897666 20070809 10225 4.290941 20070816 10333 3.479401 20080122 10334 4.699377 20080123 10497 3.575420 20080915 10498 3.417303 20080916 10499 3.578305 20080917 10500 4.763519 20080918 10501 3.362684 20080919 10507 4.354753 20080929 10512 3.611450 20081006 10515 3.786056 20081009 10516 4.791725 20081010 10517 3.406449 20081013 10910 7.382690 20100506 10911 3.423236 20100507 10912 3.022318 20100510 11225 4.906076 20110804 11226 4.635050 20110805 11227 6.636959 20110808 11228 5.464225 20110809 11229 4.077466 20110810 11230 3.956520 20110811 11235 3.315989 20110818 11852 3.357452 20140203 12029 4.794625 20141015 12243 3.784646 20150821 12244 6.559546 20150824 12245 4.181079 20150825 12246 3.869772 20150826 12344 3.089881 20160115 12346 3.519323 20160120 12455 3.676909 20160624  1 Answer You almost had everything. Taking example from iris n <- 10 iris[iris$Sepal.Length>5.5, c("Sepal.Length", "Species")][1:n,]