# What is the shortest way to round to the integer value in R?

The shortest way to round to the integer value is using trunc function. The trunc function is used to return the largest integer that is smaller than or equal to the actual value, that means it rounds downs to the nearest integer. It works as a ceiling function for negative number and floor function for positive number.

## Example

Live Demo

x1<-rnorm(10)
x1

## Output

[1] -0.93535162 -1.14679347 -2.27662044 0.09253004 1.08498688 1.08229470
[7] -1.56573897 0.78489767 -0.38629290 -1.65827949

## Example

trunc(x1)

## Output

[1] 0 -1 -2 0 1 1 -1 0 0 -1

## Example

Live Demo

x2<-rnorm(100)
x2

## Output

[1] -0.1414823352 -1.3585058194 0.7731454121 0.7821263500 0.2442938528
[6] -2.0817212231 -0.0008028992 0.6581016302 1.2887699176 0.9071206029
[11] -0.6550945154 0.9511328575 2.2129810414 -0.3977773881 2.3271487866
[16] 0.7835937392 1.6285862580 -1.5902445387 0.3107663715 0.7509937169
[21] 0.7337676334 -2.3734306093 1.0640274101 -0.0108014452 0.2116643255
[26] 0.0627927496 -0.6757863698 2.3442533811 -0.2619344582 0.4920673688
[31] -1.5223007625 -2.4126448370 0.7758588037 -2.3918544772 1.0437406610
[36] 1.0328777428 -1.3034280552 -0.6728730490 1.5060423838 -0.1391259300
[41] 0.2757522407 -0.9150750765 -1.9817158103 -1.4005728911 1.4348993874
[46] 0.9374782742 0.7571684984 -0.6237834981 0.4833934372 1.4562884688
[51] 1.7607699429 1.2149402900 -0.2367143496 -1.2354363417 -0.1620166116
[56] -1.3290830059 1.1440886424 1.0374572556 0.0479191384 0.1691752998
[61] 0.8362809840 0.2195124250 0.8129728720 0.0039731370 0.5173776826
[66] -0.6759989238 0.4878513893 1.6051260796 -0.5055311194 0.9786219788
[71] -1.2027139371 1.6092230819 0.8202643515 0.1083157153 -0.8570305655
[76] 0.3108998172 -1.9558188122 -0.4884092325 -0.3433670990 -1.5875288219
[81] -0.0410887860 1.0684439669 0.0483136250 -0.9337548843 -0.0359380002
[86] 0.0924636861 -0.0208212169 0.0748967138 2.1006328367 -0.4832896587
[91] 0.3659771504 2.1843690548 -0.0993077210 0.2956444441 -0.4813323779
[96] 0.5825952180 -0.3483721799 -0.0645541573 0.6675740121 -0.5026046827

## Example

trunc(x2)

## Output

[1] 0 -1 0 0 0 -2 0 0 1 0 0 0 2 0 2 0 1 -1 0 0 0 -2 1 0 0
[26] 0 0 2 0 0 -1 -2 0 -2 1 1 -1 0 1 0 0 0 -1 -1 1 0 0 0 0 1
[51] 1 1 0 -1 0 -1 1 1 0 0 0 0 0 0 0 0 0 1 0 0 -1 1 0 0 0
[76] 0 -1 0 0 -1 0 1 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0

## Example

Live Demo

x3<-runif(100,2,10)
x3

## Output

[1] 7.954663 2.943350 4.712708 5.296338 9.706760 9.866770 9.882452 6.770834
[9] 9.624432 5.128949 7.721584 7.004225 6.933235 7.751586 3.427621 9.928076
[17] 5.730870 2.108947 3.212954 4.671083 9.747722 8.221782 6.156657 2.586116
[25] 2.156852 9.631477 4.177436 3.219972 7.177883 3.345127 7.902857 9.300351
[33] 3.544448 8.192830 9.240767 9.058416 4.155510 9.743593 7.185758 4.181747
[41] 9.438616 9.887865 9.599023 9.829870 9.449224 4.913715 2.826641 2.585879
[49] 4.413621 3.977431 6.558506 8.977440 7.113861 3.107348 9.704511 2.989129
[57] 8.798406 6.072050 5.050253 5.455331 8.163404 3.327951 3.491211 6.566275
[65] 5.262739 6.916546 6.466604 9.728167 3.051050 7.604732 3.022507 6.666468
[73] 4.187495 3.737504 4.302382 5.882281 2.007831 4.809714 9.646016 3.398307
[81] 6.849424 2.351652 5.959438 4.455610 5.674491 7.640682 2.660641 8.766593
[89] 2.648976 4.102925 4.287197 2.355979 4.610613 5.991896 5.728126 3.304057
[97] 8.121376 5.075187 3.828523 6.915818

## Example

trunc(x3)

## Output

[1] 7 2 4 5 9 9 9 6 9 5 7 7 6 7 3 9 5 2 3 4 9 8 6 2 2 9 4 3 7 3 7 9 3 8 9 9 4
[38] 9 7 4 9 9 9 9 9 4 2 2 4 3 6 8 7 3 9 2 8 6 5 5 8 3 3 6 5 6 6 9 3 7 3 6 4 3
[75] 4 5 2 4 9 3 6 2 5 4 5 7 2 8 2 4 4 2 4 5 5 3 8 5 3 6

## Example

Live Demo

x4<-rnorm(80,25,3.24)
x4

## Output

[1] 24.42208 21.90653 20.75834 22.02546 24.53996 24.93538 23.08860 24.03999
[9] 23.03142 25.23450 24.90510 20.62063 26.03913 22.27711 22.91115 24.51232
[17] 26.07080 22.58434 26.61411 19.39058 24.16763 24.30714 26.57230 25.46133
[25] 24.81096 21.44637 23.71686 25.24493 24.38496 23.60767 22.68063 29.33581
[33] 23.91165 26.30062 27.30871 26.55297 27.76002 24.20861 29.42817 27.68866
[41] 28.44509 24.77211 26.06472 27.47232 22.15039 19.09000 19.83484 23.98287
[49] 26.75674 26.50842 27.46479 24.63504 26.16109 22.05653 21.48255 20.73107
[57] 23.86625 29.25562 22.42061 25.33801 26.60932 22.55855 20.37860 25.97264
[65] 23.01710 23.69215 28.73903 27.84084 19.09732 30.34330 24.82019 25.36460
[73] 23.02290 26.39190 19.43367 20.38271 26.03162 26.94317 21.56546 28.45962

## Example

trunc(x4)

## Output

[1] 24 21 20 22 24 24 23 24 23 25 24 20 26 22 22 24 26 22 26 19 24 24 26 25 24
[26] 21 23 25 24 23 22 29 23 26 27 26 27 24 29 27 28 24 26 27 22 19 19 23 26 26
[51] 27 24 26 22 21 20 23 29 22 25 26 22 20 25 23 23 28 27 19 30 24 25 23 26 19
[76] 20 26 26 21 28

## Example

Live Demo

x5<-rnorm(100,5000,327.25)
x5

## Output

[1] 4730.175 5333.495 5537.905 5589.787 4727.254 5410.457 4893.046 4868.816
[9] 4707.777 5033.363 5007.099 4531.551 4707.251 5007.106 4275.045 5449.996
[17] 4736.522 4885.891 4938.445 4811.098 4166.408 5026.567 4970.116 5048.687
[25] 4925.214 5223.449 5548.780 4519.329 5516.181 5307.102 5096.478 5452.347
[33] 5277.472 5036.306 4365.576 5218.056 5033.874 5444.652 5205.017 4286.010
[41] 5172.966 4964.987 5046.321 4962.531 5218.152 4596.719 4257.091 5605.370
[49] 4706.488 5194.869 4793.121 5056.934 4977.399 4886.530 4880.743 4869.798
[57] 5034.730 4975.458 5255.223 4852.691 5346.542 4993.158 5395.958 5091.647
[65] 4869.546 5364.509 3954.740 5547.372 4639.710 5220.282 4850.229 4468.973
[73] 5138.139 4585.247 4874.217 5179.014 5542.469 5176.163 5473.690 4819.832
[81] 4771.856 4834.502 5355.929 4693.198 5466.436 5079.123 5344.066 4876.401
[89] 4858.778 4935.385 5006.798 5327.960 4792.531 5187.225 4673.725 5205.424
[97] 5379.026 5030.938 4788.946 4926.931

## Example

trunc(x5)

## Output

[1] 4730 5333 5537 5589 4727 5410 4893 4868 4707 5033 5007 4531 4707 5007 4275
[16] 5449 4736 4885 4938 4811 4166 5026 4970 5048 4925 5223 5548 4519 5516 5307
[31] 5096 5452 5277 5036 4365 5218 5033 5444 5205 4286 5172 4964 5046 4962 5218
[46] 4596 4257 5605 4706 5194 4793 5056 4977 4886 4880 4869 5034 4975 5255 4852
[61] 5346 4993 5395 5091 4869 5364 3954 5547 4639 5220 4850 4468 5138 4585 4874
[76] 5179 5542 5176 5473 4819 4771 4834 5355 4693 5466 5079 5344 4876 4858 4935
[91] 5006 5327 4792 5187 4673 5205 5379 5030 4788 4926

Updated on: 08-Dec-2020

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