pull() is similar to $. It's mostly useful because it looks a little nicer in pipes.
Arguments
- .data
A
flowSet.- var
A variable specified as: * a literal variable name * a positive integer, giving the position counting from the left * a negative integer, giving the position counting from the right.
- name
An optional parameter that specifies the column to be used as names for a named vector. Specified in a similar manner as var.
- ...
For use by methods.
Examples
my_flowset <- simulate_cytometry_data()$flowset
my_flowset |>
dplyr::pull(feature_1)
#> [1] 61.707455 34.119282 59.080372 14.357096 18.683359 28.300123 26.117453
#> [8] 44.449272 38.673580 63.016792 31.684309 87.855576 69.205734 30.698961
#> [15] 51.781757 86.819008 97.816093 9.822252 45.549061 28.500546 36.499210
#> [22] 33.048340 6.381599 13.402617 71.336746 19.456774 38.641743 90.418785
#> [29] 27.241653 12.216655 6.067490 64.539589 29.932425 61.931160 58.472397
#> [36] 70.772652 30.505514 80.818390 15.074034 50.172340 37.925339 26.619347
#> [43] 49.425632 33.082298 35.069328 70.757950 38.462761 10.113583 2.865905
#> [50] 77.229843 82.937546 30.931627 94.737907 47.313133 89.927170 68.210777
#> [57] 66.090851 94.839485 46.942699 13.229156 63.323696 72.619804 31.290648
#> [64] 6.216064 69.836235 35.853497 53.557339 43.119762 40.035126 29.605131
#> [71] 67.159821 45.693851 42.280628 13.132191 45.609444 84.077194 7.578098
#> [78] 58.188179 1.811911 26.028854 67.378952 69.370819 28.405432 75.756714
#> [85] 93.963539 64.369308 62.781277 55.980293 27.328022 67.027916 83.328835
#> [92] 23.091105 23.602583 84.348320 44.097603 77.150414 44.741596 58.190331
#> [99] 34.493801 99.710922 33.006531 47.791954 12.564268 98.742432 90.464310
#> [106] 20.021053 40.619736 2.266216 96.763039 76.373138 25.745275 81.329163
#> [113] 69.410637 84.645256 27.006809 20.357967 84.754402 82.448799 68.781677
#> [120] 20.211300 29.066751 42.892139 3.948269 50.238373 12.217365 32.680260
#> [127] 92.086449 56.190342 19.754028 10.083920 89.921082 84.699974 99.674049
#> [134] 9.414564 3.009351 37.756927 2.864956 10.252385 67.314972 84.476952
#> [141] 23.850948 66.323471 73.407471 8.697383 97.507378 85.777184 26.460798
#> [148] 61.820202 49.950996 64.218086 97.341896 32.600330 82.427696 75.553398
#> [155] 69.653275 28.611916 24.235460 50.880432 63.473274 16.829134 47.191879
#> [162] 18.123425 36.343666 99.167946 18.804047 1.982403 82.661331 15.953116
#> [169] 99.615807 70.997238 28.466055 57.196651 55.851486 60.589451 83.170029
#> [176] 75.700905 5.344547 50.358284 42.900902 36.867908 82.145706 37.138206
#> [183] 4.242621 24.201389 74.853386 54.048607 73.312218 92.513481 23.744755
#> [190] 38.866402 38.110310 48.320808 78.019508 42.356594 68.189659 74.915016
#> [197] 41.884460 49.094273 87.558945 25.735926 36.365288 5.922872 61.308781
#> [204] 26.465258 31.810114 52.487389 82.538628 16.346321 66.785576 26.689190
#> [211] 5.489400 5.032824 67.269638 28.314075 33.710968 99.893837 21.679636
#> [218] 97.783920 1.866883 19.009169 81.188911 99.234215 31.320633 91.801727
#> [225] 96.015106 12.971904 49.463345 10.458075 57.531628 70.147476 23.554527
#> [232] 99.567863 45.367165 98.406105 74.924225 41.873249 88.397713 90.523972
#> [239] 30.814005 60.329502 14.250608 23.792261 36.124817 63.888958 37.332664
#> [246] 23.126255 25.453268 11.435163 72.185493 73.003159 25.668699 26.509863
#> [253] 95.728455 61.931454 36.764408 91.227051 19.563534 9.292298 73.945923
#> [260] 63.645992 72.100403 76.697975 56.386959 90.748619 17.660521 22.610464
#> [267] 39.004974 52.041439 92.219429 62.898712 7.488976 90.163910 43.584831
#> [274] 43.308949 85.289520 96.272324 8.329326 37.922577 87.437645 66.909683
#> [281] 72.147575 92.156715 19.393478 10.080259 30.100101 84.175858 55.696720
#> [288] 41.264561 23.697992 6.342371 61.778408 37.440243 13.837901 91.879967
#> [295] 60.309593 45.373196 60.354004 46.483398 31.169651 23.295162 35.510174
#> [302] 20.752729 34.824009 68.756203 7.128444 80.510178 22.588404 10.920882
#> [309] 14.054218 91.553108 35.466141 97.699463 47.731918 85.576248 45.518295
#> [316] 46.367805 79.221535 61.005947 58.888496 84.570694 12.221233 80.542961
#> [323] 17.883633 88.563187 50.315392 49.812355 7.533211 66.269035 42.017410
#> [330] 60.651508 62.986748 49.933147 79.900414 32.696560 99.102669 7.525240
#> [337] 82.545715 13.127794 19.310791 17.615723 99.708282 30.322037 44.368580
#> [344] 79.598541 55.893726 53.959942 24.569088 31.550964 78.584114 21.957214
#> [351] 91.689651 32.906090 30.089802 45.082386 68.709763 74.692329 57.719582
#> [358] 60.983780 89.814507 27.718576 51.264126 89.373863 82.801422 49.625317
#> [365] 81.275536 57.579636 84.994072 9.707760 29.938971 38.805950 32.500252
#> [372] 93.898849 79.210831 68.465767 80.449013 41.406265 88.109421 92.497643
#> [379] 64.615356 42.431854 73.853249 89.430756 94.570671 41.664360 50.146286
#> [386] 94.381531 98.491859 36.046940 71.204071 22.269993 54.878727 59.093906
#> [393] 95.828644 34.489147 99.420250 11.157582 45.028820 37.352917 29.985207
#> [400] 91.810173 32.258129 74.513344 66.143280 80.621674 13.403547 76.548698
#> [407] 68.554260 25.323996 31.040577 61.443665 38.186352 90.578568 1.214871
#> [414] 29.693474 19.395399 53.242836 13.453709 78.778549 80.463600 43.188396
#> [421] 97.303215 49.149731 28.197092 6.960131 87.616333 87.138443 40.876072
#> [428] 35.336155 45.194172 84.746315 39.487431 28.629562 24.266279 95.897026
#> [435] 65.168503 15.620442 84.926056 45.034714 47.356552 45.265106 87.612732
#> [442] 18.249874 6.438751 67.594566 97.489983 38.292480 9.587608 59.194534
#> [449] 90.231888 19.204515 32.671204 86.970772 3.973670 72.650047 6.516009
#> [456] 82.070892 98.118423 65.601418 56.348289 65.594025 34.990654 63.329815
#> [463] 24.079998 34.264496 3.429126 66.663910 7.221761 10.633113 13.827549
#> [470] 51.814659 77.645760 79.575882 22.183260 95.123260 76.492737 63.214848
#> [477] 23.108370 16.135563 59.606712 21.058344 6.556801 21.220430 70.348221
#> [484] 75.046036 97.183609 83.815903 63.871738 79.120323 54.547138 36.281818
#> [491] 3.342771 63.082649 15.826059 16.139669 63.726826 42.420887 19.835138
#> [498] 89.223190 22.774603 6.207536