# How to replace one vector elements with another vector elements in R?

If the data is incorrectly recorded then we need to replace that with the correct. One such case could be reading a vector with values that belong to another vector. In this type of situation, we should replace the vectors appropriate. In R, it can be easily done by using <- operator.

## Example

Live Demo

x1<-1:10
x1

## Output

[1] 1 2 3 4 5 6 7 8 9 10

## Example

Live Demo

y1<-c(5,15,20,25,30,35,40,45,50,55)
y1

## Output

[1] 5 15 20 25 30 35 40 45 50 55

Replacing x1 with y1 values

## Example

x1<-y1
x1

## Output

[1] 5 15 20 25 30 35 40 45 50 55

## Example

Live Demo

x2<-sample(0:5,120,replace=TRUE)
x2

## Output

[1]   5 0 5 5 0 4 5 0 5 0 5 5 0 3 4 3 3 2 2 5 4 5 0 2 2 0 1 5 1 4 4 3 3 2 1 3 1
[38]  5 0 1 3 4 1 5 3 2 4 3 0 3 0 4 3 4 4 5 3 5 3 5 0 4 5 5 4 0 1 3 1 3 5 5 1 0
[75]  4 1 0 4 5 4 2 3 2 5 5 4 1 3 4 1 5 2 4 4 0 4 2 2 1 0 1 1 2 5 4 2 4 1 5 1 2
[112] 3 3 1 5 3 1 2 4 5

## Example

Live Demo

y2<-sample(501:505,120,replace=TRUE)
y2

## Output

[1]   503 505 505 501 502 504 502 501 501 501 504 503 501 505 502 504 504 501
[19]  502 501 505 504 503 503 502 505 505 501 502 505 502 503 505 505 501 503
[37]  502 501 505 504 505 501 503 501 502 505 503 503 502 505 503 502 502 502
[55]  504 502 503 505 503 505 504 502 505 503 505 503 503 502 503 502 504 502
[73]  501 504 503 503 505 502 505 505 503 503 503 503 502 503 503 505 502 504
[91]  501 502 503 502 503 504 501 502 503 502 503 502 504 501 504 503 505 503
[109] 503 504 503 505 504 505 501 502 502 502 503 503

## Example

x2<-y2
x2

## Output

[1]   503 505 505 501 502 504 502 501 501 501 504 503 501 505 502 504 504 501
[19]  502 501 505 504 503 503 502 505 505 501 502 505 502 503 505 505 501 503
[37]  502 501 505 504 505 501 503 501 502 505 503 503 502 505 503 502 502 502
[55]  504 502 503 505 503 505 504 502 505 503 505 503 503 502 503 502 504 502
[73]  501 504 503 503 505 502 505 505 503 503 503 503 502 503 503 505 502 504
[91]  501 502 503 502 503 504 501 502 503 502 503 502 504 501 504 503 505 503
[109] 503 504 503 505 504 505 501 502 502 502 503 503

## Example

Live Demo

x3<-sample(1:100,120,replace=TRUE)
x3

## Output

[1]   93 42 38 52 14 37 92 66 26 18 97 63 92 27 21 17 51 99
[19]  75 10 41 4 34 32 55 61 84 7 62 27 48 48 28 91 64 77
[37]  48 80 16 48 78 51 89 79 52 2 14 22 24 70 67 99 24 23
[55] 100 20 59 65 18 73 91 86 69 39 22 95 22 39 25 23 57 80
[73]  80 38 37 75 40 14 52 20 25 22 23 21 61 3 43 29 89 67
[91]  17 54 38 61 60 73 57 45 30 36 99 8 59 86 57 82 61 60
[109] 59 75 36 85 50 79 41 14 24 3 29 8

## Example

Live Demo

y3<-sample(6:10,120,replace=TRUE)
y3

## Output

[1]   7 7 9 8 7 6 9 10 6 10 10 8 7 6 9 10 7 8 8 6 7 7 6 9 7
[26]  6 10 9 7 8 9 10 8 9 7 7 10 8 9 6 8 9 8 9 8 6 7 7 7 7
[51]  8 7 10 6 10 10 10 9 6 7 6 6 8 6 7 10 6 8 8 10 10 7 10 7 7
[76]  7 8 8 6 6 6 8 9 6 10 9 10 10 9 10 9 9 6 8 10 6 8 7 6 6
[101] 7 10 6 6 8 7 10 10 6 8 7 7 10 10 6 9 10 10 6 6

## Example

x3<-y3
x3

## Output

[1]   7 7 9 8 7 6 9 10 6 10 10 8 7 6 9 10 7 8 8 6 7 7 6 9 7
[26]  6 10 9 7 8 9 10 8 9 7 7 10 8 9 6 8 9 8 9 8 6 7 7 7 7
[51]  8 7 10 6 10 10 10 9 6 7 6 6 8 6 7 10 6 8 8 10 10 7 10 7 7
[76]  7 8 8 6 6 6 8 9 6 10 9 10 10 9 10 9 9 6 8 10 6 8 7 6 6
[101] 7 10 6 6 8 7 10 10 6 8 7 7 10 10 6 9 10 10 6 6

## Example

Live Demo

x4<-rnorm(50,1,0.03)
x4

## Output

[1]  0.9831642 1.0252853 1.0145823 0.9746273 1.0424629 1.0136936 0.9439870
[8]  1.0191114 1.0020480 1.0435602 1.0153047 1.0025025 1.0013413 0.9869820
[15] 0.9909892 0.9616664 0.9846913 0.9770553 0.9828976 0.9808355 0.9985416
[22] 1.0129694 1.0338138 0.9618547 0.9953760 0.9299545 1.0045145 1.0133679
[29] 1.0055642 1.0048645 0.9979495 0.9930195 1.0163143 1.0191684 0.9953278
[36] 1.0298341 0.9872596 1.0042094 0.9468006 1.0028024 0.9955087 1.0077598
[43] 1.0055424 0.9761965 1.0119160 0.9792637 0.9872643 1.0349188 1.0587493
[50] 0.9726261

## Example

Live Demo

y4<-rnorm(50,5,1)
y4

## Output

[1]  6.641022 4.633975 6.136472 4.716942 6.135626 4.445801 5.790062 3.866481
[9]  3.608628 3.432833 3.093560 5.514157 5.425699 4.453981 5.910624 4.735689
[17] 6.739598 6.396134 3.526643 5.298362 3.163440 4.048861 5.544507 3.034935
[25] 5.421878 6.677585 3.677699 5.145666 4.727515 3.536030 4.313064 4.000674
[33] 4.867868 4.816071 3.914698 6.588276 3.961661 5.280268 5.841715 3.888689
[41] 4.319245 3.388089 5.442669 5.616212 5.437626 4.257918 5.466426 4.939256
[49] 6.054435 5.969408

## Example

x4<-y4
x4

## Output

[1]  6.641022 4.633975 6.136472 4.716942 6.135626 4.445801 5.790062 3.866481
[9]  3.608628 3.432833 3.093560 5.514157 5.425699 4.453981 5.910624 4.735689
[17] 6.739598 6.396134 3.526643 5.298362 3.163440 4.048861 5.544507 3.034935
[25] 5.421878 6.677585 3.677699 5.145666 4.727515 3.536030 4.313064 4.000674
[33] 4.867868 4.816071 3.914698 6.588276 3.961661 5.280268 5.841715 3.888689
[41] 4.319245 3.388089 5.442669 5.616212 5.437626 4.257918 5.466426 4.939256
[49] 6.054435 5.969408

## Example

Live Demo

x5<-rpois(100,10)
x5

## Output

[1]  16 12 10 4 8 4 6 12 11 11 9 5 10 13 9 9 7 9 7 10 3 6 11 15 11
[26] 11 8 8 7 9 16 21 9 11 5 10 5 15 9 12 7 9 15 12 12 9 11 16 9 9
[51] 11 13 9 11 10 3 10 9 10 12 8 13 10 8 16 11 11 11 10 10 8 9 13 8 8
[76]  8 7 10 11 11 8 11 12 5 5 10 12 7 11 7 10 14 10 11 10 6 15 13 4 9

## Example

Live Demo

y5<-rpois(100,5)
y5

## Output

[1]  3 5 4 5 4 2 5 3 3 8 6 7 5 6 6 5 1 3 4 4 6 4 5 4 3
[26] 7 6 5 5 4 3 10 5 2 2 7 4 3 7 1 2 3 4 4 5 4 5 7 7 3
[51] 12 4 6 6 4 7 3 9 6 10 4 3 5 2 9 5 5 5 2 5 4 4 5 3 3
[76] 7 5 9 8 3 5 5 6 0 1 5 6 2 2 6 5 7 7 6 3 3 3 5 1 2

## Example

x5<-y5
x5

## Output

[1]  3 5 4 5 4 2 5 3 3 8 6 7 5 6 6 5 1 3 4 4 6 4 5 4 3
[26] 7 6 5 5 4 3 10 5 2 2 7 4 3 7 1 2 3 4 4 5 4 5 7 7 3
[51] 12 4 6 6 4 7 3 9 6 10 4 3 5 2 9 5 5 5 2 5 4 4 5 3 3
[76]  7 5 9 8 3 5 5 6 0 1 5 6 2 2 6 5 7 7 6 3 3 3 5 1 2

Updated on: 17-Oct-2020

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