pull() is similar to $. It's mostly useful because it looks a little nicer in pipes.
Arguments
- .data
A
flowFrame.- var
A variable specified as: * a literal variable name * a positive integer, giving the position counting from the left * a negative integer, giving the position counting from the right.
- name
An optional parameter that specifies the column to be used as names for a named vector. Specified in a similar manner as var.
- ...
For use by methods.
Examples
my_flowframe <- simulate_cytometry_data()$flowframe
my_flowframe |>
dplyr::pull(feature_1)
#> [1] 20.648935 63.303005 70.050774 53.005867 66.655724 64.047829 27.355886
#> [8] 5.490736 37.310413 78.034470 15.957017 45.452126 42.853611 27.112152
#> [15] 49.034760 87.483971 65.565163 92.555740 79.439484 27.588352 56.409615
#> [22] 92.973183 93.744850 9.163841 67.738861 42.103306 41.801208 90.113327
#> [29] 97.319702 39.528194 8.772243 47.921066 80.070045 61.109413 12.481791
#> [36] 75.397644 4.612498 61.320526 2.047465 52.206711 23.714315 58.911583
#> [43] 91.727608 15.903027 97.227531 42.265381 97.799255 78.570625 40.033646
#> [50] 88.210114 15.459453 66.401497 68.943169 57.255486 35.932823 98.874733
#> [57] 7.664884 64.414917 18.191687 85.908806 28.854046 98.159660 2.235729
#> [64] 10.810736 84.079285 40.095047 89.011887 96.432709 54.091339 15.115402
#> [71] 83.707336 1.495027 13.733397 5.369581 14.545731 16.658072 59.614033
#> [78] 90.506859 35.660660 42.914162 13.146553 7.976927 51.834496 94.653320
#> [85] 51.723930 73.538689 32.461868 32.472141 76.520462 16.967514 99.348076
#> [92] 21.094311 38.642769 85.625511 36.075798 65.986588 31.417198 72.551811
#> [99] 40.809181 41.961121
#> attr(,"ranges")
#> [1] 100 99 100 100 98 97 98 99 97 100