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How to remove list elements by their name in R?
Data analysis not only includes mathematical operations, we have to spend a lot of time in data cleaning, data mining, feature engineering etc. One operation could be removing list elements by their name if they are not helpful to achieve our objective. The removal of the elements by using their names can be done with the help of which function.
Example
Consider the below list
List1<- list(x1=rnorm(60,1,0.95),x2=rnorm(60,5424,127.68),x3=rnorm(60,50,2.35),x4=rnorm(60,20,3.24)) List1
Output
$x1 [1] -1.103107699 2.078722802 2.371164857 0.021881406 0.390992950 [6] 1.476385690 1.141207941 -0.087333092 0.782669645 -0.031383610 [11] 0.795189013 1.197991076 1.444175931 0.769249312 1.912066039 [16] 2.717922675 0.710198309 0.670194245 2.461528527 1.858932946 [21] 0.065507123 0.286159313 1.672737420 1.786018329 0.803019105 [26] 1.885696334 0.758169091 -0.410390929 -1.254737911 1.192054962 [31] 2.697837121 2.177011009 -1.459178547 2.733624037 1.271602761 [36] -0.566724365 0.006310726 0.350689440 1.144167032 2.300173244 [41] 0.806413286 0.508535201 1.581777888 -0.250193267 3.523530052 [46] 1.498029653 1.447637379 0.115807682 1.282445998 1.711245218 [51] 0.423081872 1.051167794 -0.265119562 -0.577337623 2.390421540 [56] 0.354019835 -1.883593673 2.598753510 0.351321430 -0.053119277 $x2 [1] 5324.288 5344.918 5241.660 5578.071 5329.440 5437.268 5351.409 5463.745 [9] 5535.259 5457.844 5640.661 5398.484 5383.392 5429.124 5357.249 5417.066 [17] 5234.672 5533.008 5555.331 5525.581 5419.722 5324.499 5495.273 5281.291 [25] 5570.078 5550.720 5449.779 5447.574 5579.832 5255.774 5475.710 5619.025 [33] 5570.046 5477.875 5495.976 5568.811 5247.030 5414.587 5190.818 5395.836 [41] 5500.447 5501.045 5314.469 5418.376 5535.070 5664.423 4935.960 5531.844 [49] 5378.684 5508.853 5522.674 5489.705 5512.495 5414.008 5505.148 5148.656 [57] 5586.520 5290.609 5397.421 5460.574 $x3 [1] 49.34596 51.32998 51.70226 49.68396 51.15468 50.26879 52.06086 48.99725 [9] 52.73262 48.60677 49.58647 51.88704 48.73080 48.13890 44.85399 46.20519 [17] 47.22128 50.60390 48.75666 48.84218 50.31721 50.67285 48.47646 46.34506 [25] 49.27422 49.62860 51.51841 45.83099 52.30268 53.66676 53.40591 48.06345 [33] 52.23169 51.96759 49.25928 52.12997 45.58793 50.01810 48.47573 48.46257 [41] 50.01778 52.13582 46.03818 48.50411 49.14832 51.11971 48.21913 49.86897 [49] 48.92824 51.70422 49.13782 47.28929 47.59428 54.85879 46.26745 50.44922 [57] 48.93762 49.45593 52.17696 49.34633 $x4 [1] 18.04474 23.41377 16.25905 16.28852 21.89753 25.99785 22.42163 21.69039 [9] 26.04570 18.27497 24.14191 19.02528 19.14901 22.03552 20.95017 14.05373 [17] 21.08831 22.05547 22.02216 26.58448 20.22041 18.25070 24.53673 23.53406 [25] 21.20194 26.09326 19.48507 27.61870 14.49611 22.72755 23.16411 19.92344 [33] 10.63012 12.80279 19.96753 15.59017 19.46262 21.70891 18.89588 21.09484 [41] 16.83731 17.37747 17.82628 20.00209 16.38927 16.54549 12.25639 23.48978 [49] 25.13921 14.30144 22.36671 23.48653 20.32195 22.40168 23.67391 10.55038 [57] 16.60622 22.41615 20.96008 18.15460
Removing x1 and x2 from List1 −
Example
List1[which(names(List1)%in%c("x1","x2"))]<-NULL
List1Output
$x3 [1] 49.34596 51.32998 51.70226 49.68396 51.15468 50.26879 52.06086 48.99725 [9] 52.73262 48.60677 49.58647 51.88704 48.73080 48.13890 44.85399 46.20519 [17] 47.22128 50.60390 48.75666 48.84218 50.31721 50.67285 48.47646 46.34506 [25] 49.27422 49.62860 51.51841 45.83099 52.30268 53.66676 53.40591 48.06345 [33] 52.23169 51.96759 49.25928 52.12997 45.58793 50.01810 48.47573 48.46257 [41] 50.01778 52.13582 46.03818 48.50411 49.14832 51.11971 48.21913 49.86897 [49] 48.92824 51.70422 49.13782 47.28929 47.59428 54.85879 46.26745 50.44922 [57] 48.93762 49.45593 52.17696 49.34633 $x4 [1] 18.04474 23.41377 16.25905 16.28852 21.89753 25.99785 22.42163 21.69039 [9] 26.04570 18.27497 24.14191 19.02528 19.14901 22.03552 20.95017 14.05373 [17] 21.08831 22.05547 22.02216 26.58448 20.22041 18.25070 24.53673 23.53406 [25] 21.20194 26.09326 19.48507 27.61870 14.49611 22.72755 23.16411 19.92344 [33] 10.63012 12.80279 19.96753 15.59017 19.46262 21.70891 18.89588 21.09484 [41] 16.83731 17.37747 17.82628 20.00209 16.38927 16.54549 12.25639 23.48978 [49] 25.13921 14.30144 22.36671 23.48653 20.32195 22.40168 23.67391 10.55038 [57] 16.60622 22.41615 20.96008 18.15460
Example
List2<- list(y1=rpois(60,1),y2=rpois(60,5),y3=rpois(60,2),y4=rpois(60,3),y5=rpois(60,8)) List2
Output
$y1 [1] 0 1 2 1 0 1 2 2 1 1 1 0 0 1 0 0 1 1 1 0 1 0 0 3 1 0 2 1 2 0 1 1 2 1 1 1 0 1 [39] 0 4 1 1 1 0 0 0 1 1 0 1 1 2 1 1 0 1 1 1 2 3 $y2 [1] 3 6 4 3 3 4 4 5 1 3 6 3 4 4 5 2 6 8 3 5 5 3 6 5 7 [26] 5 7 3 4 8 3 5 7 5 4 6 9 4 2 6 8 4 6 6 1 7 10 5 6 3 [51] 3 5 4 0 6 4 7 6 8 7 $y3 [1] 3 2 2 4 2 0 3 0 1 1 2 4 0 2 3 1 3 1 3 3 2 1 2 2 4 1 1 3 1 1 1 2 2 4 3 1 2 2 [39] 1 1 1 0 3 6 2 1 3 1 2 4 1 2 1 0 3 5 2 3 0 2 $y4 [1] 3 1 4 4 3 4 3 2 1 3 6 1 4 2 1 2 2 1 3 1 3 2 2 1 0 4 3 5 3 3 2 0 2 2 2 3 1 3 [39] 2 4 4 2 1 2 3 3 5 0 2 1 8 4 1 5 3 3 2 3 4 6 $y5 [1] 8 7 6 14 6 14 9 3 11 12 11 6 11 3 8 4 8 5 11 6 4 7 7 5 11 [26] 7 5 6 8 4 9 3 6 9 7 3 10 3 9 13 9 6 14 5 14 10 5 7 6 4 [51] 3 13 5 11 7 9 5 5 5 4
Removing y1, y2, and y3 from List2 −
Example
List2[which(names(List2)%in%c("y1","y2","y3"))]<-NULL
List2Output
$y4 [1] 3 1 4 4 3 4 3 2 1 3 6 1 4 2 1 2 2 1 3 1 3 2 2 1 0 4 3 5 3 3 2 0 2 2 2 3 1 3 [39] 2 4 4 2 1 2 3 3 5 0 2 1 8 4 1 5 3 3 2 3 4 6 $y5 [1] 8 7 6 14 6 14 9 3 11 12 11 6 11 3 8 4 8 5 11 6 4 7 7 5 11 [26] 7 5 6 8 4 9 3 6 9 7 3 10 3 9 13 9 6 14 5 14 10 5 7 6 4 [51] 3 13 5 11 7 9 5 5 5 4
Updated on: 07-Dec-2020
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