How to print a large number of values in R without index?

Whenever we print any vector then the left-hand side of the R window shows indexing, even if we have one value in the vector the index will be there. For example, if we print a vector that has value equal to 2 then the print output will be [1] 2, here [1] represents the index. If we want to print the vector without index then cat function can be used as shown in the below examples.

Example1

 Live Demo

x1<−1:50
x1

Output

[1]   1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
[26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50

Example

cat(x1,fill=TRUE)

Output

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50

Example2

 Live Demo

x2<−rnorm(80)
x2

Output

[1] −0.80521374 0.31958949 −1.48420309 0.81002518 −0.21996595 −1.00172996
[7] 0.22351739 0.88238127 −0.39634599 −0.03713212 −0.98835229 −1.25814376
[13] 0.87085572 −0.85611684 −0.29874494 −1.24726965 0.58367707 0.59283764
[19] 1.12208675 −0.99539174 −1.00296505 0.14744371 1.07498541  −0.06393804
[25] 1.05421836 0.78820041 −1.83124330 −0.39376746 0.78146314   1.73795705
[31] 0.76103401 −0.99425354 −0.68722593 0.41017802 2.17813236   0.55434245
[37] 0.62527078 −0.56166543 0.06025381 0.81553325 0.38276496   −0.54946978
[43] 2.82117758 −0.39764193 1.13038425 −0.13615824 −0.32063000 −0.22354904
[49] −1.70144034 −0.87538953 0.71908202 −0.68515454 0.68152735 −3.61314448
[55] −0.45074050 −1.19185745 −0.38136640 0.44618919 −2.15542430 −0.46384009
[61] 0.75799481 0.93987283 1.23951174 0.30288382 −1.48214127 −1.93995177
[67] −0.58862690 −0.09822009 1.10421757 0.48513715 −0.55996766 0.72119011
[73] 2.24702108 −0.37606973 0.66518716 1.15377041 1.19221007 0.47804031
[79] 0.33829431 −0.63047169

Example

cat(x2,fill=TRUE)

Output

−0.8052137 0.3195895 −1.484203 0.8100252 −0.219966 −1.00173 0.2235174 0.8823813
−0.396346 −0.03713212 −0.9883523 −1.258144 0.8708557 −0.8561168 −0.2987449
−1.24727 0.5836771 0.5928376 1.122087 −0.9953917 −1.002965 0.1474437 1.074985
−0.06393804 1.054218 0.7882004 −1.831243 −0.3937675 0.7814631 1.737957 0.761034
−0.9942535 −0.6872259 0.410178 2.178132 0.5543425 0.6252708 −0.5616654
0.06025381 0.8155332 0.382765 −0.5494698 2.821178 −0.3976419 1.130384
−0.1361582 −0.32063 −0.223549 −1.70144 −0.8753895 0.719082 −0.6851545 0.6815273
−3.613144 −0.4507405 −1.191857 −0.3813664 0.4461892 −2.155424 −0.4638401
0.7579948 0.9398728 1.239512 0.3028838 −1.482141 −1.939952 −0.5886269
−0.09822009 1.104218 0.4851372 −0.5599677 0.7211901 2.247021 −0.3760697
0.6651872 1.15377 1.19221 0.4780403 0.3382943 −0.6304717

Example3

 Live Demo

x3<−rpois(150,5)
x3

Output

[1] 1 6 7 7 6 8 5 2 7 2 6 4 5 5 3 6 3 3 7 6 1 8 6 6 6
[26] 2 3 4 4 4 4 5 2 5 8 1 3 3 4 3 1 3 6 6 10 6 2 5 5 2
[51] 7 4 4 9 6 7 2 6 2 5 5 7 4 3 7 6 4 2 6 8 6 7 3 4 8
[76] 2 6 5 4 5 4 5 5 3 5 6 6 8 3 4 4 7 6 4 4 2 5 7 2 10
[101] 3 5 5 6 7 9 2 7 9 5 7 6 0 4 6 7 8 4 5 3 4 3 7 7 5
[126] 13 4 3 9 9 7 6 4 7 8 5 7 4 7 4 9 5 8 4 1 6 6 2 10 7

Example

cat(x3,fill=TRUE)

Output

1 6 7 7 6 8 5 2 7 2 6 4 5 5 3 6 3 3 7 6 1 8 6 6 6 2 3 4 4 4 4 5 2 5 8 1 3 3 4 3
1 3 6 6 10 6 2 5 5 2 7 4 4 9 6 7 2 6 2 5 5 7 4 3 7 6 4 2 6 8 6 7 3 4 8 2 6 5 4
5 4 5 5 3 5 6 6 8 3 4 4 7 6 4 4 2 5 7 2 10 3 5 5 6 7 9 2 7 9 5 7 6 0 4 6 7 8 4
5 3 4 3 7 7 5 13 4 3 9 9 7 6 4 7 8 5 7 4 7 4 9 5 8 4 1 6 6 2 10 7

Example4

 Live Demo

x4<−runif(80,2,5)
x4

Output

[1] 4.435970 2.624657 2.451233 4.442715 2.190130 2.226768 3.177817 2.178521
[9] 2.234834 2.228027 4.381513 2.052545 2.744667 3.162011 4.731392 4.378479
[17] 4.474160 3.416653 4.903176 3.525459 4.711460 4.337899 3.336221 4.640738
[25] 3.075943 4.630204 4.372429 4.393392 4.678343 2.356057 3.652575 4.311324
[33] 2.333218 3.325070 3.993173 4.402070 3.938035 2.853330 3.731457 2.789883
[41] 4.016687 3.593640 4.553039 2.479682 2.235848 3.975596 4.436557 4.888424
[49] 3.426769 3.536130 3.465132 4.423580 4.008968 2.218030 4.907232 3.751205
[57] 2.782190 4.860979 3.680459 3.953126 4.426685 4.086084 4.101165 4.857805
[65] 2.475631 4.177959 4.936971 3.693090 4.383131 4.638622 4.576787 2.672324
[73] 4.619832 3.576587 4.285013 2.985745 2.228742 3.732050 2.636020 4.450006

Example

cat(x4,fill=TRUE)

Output

4.43597 2.624657 2.451233 4.442715 2.19013 2.226768 3.177817 2.178521 2.234834
2.228027 4.381513 2.052545 2.744667 3.162011 4.731392 4.378479 4.47416 3.416653
4.903176 3.525459 4.71146 4.337899 3.336221 4.640738 3.075943 4.630204 4.372429
4.393392 4.678343 2.356057 3.652575 4.311324 2.333218 3.32507 3.993173 4.40207
3.938035 2.85333 3.731457 2.789883 4.016687 3.59364 4.553039 2.479682 2.235848
3.975596 4.436557 4.888424 3.426769 3.53613 3.465132 4.42358 4.008968 2.21803
4.907232 3.751205 2.78219 4.860979 3.680459 3.953126 4.426685 4.086084 4.101165
4.857805 2.475631 4.177959 4.936971 3.69309 4.383131 4.638622 4.576787 2.672324
4.619832 3.576587 4.285013 2.985745 2.228742 3.73205 2.63602 4.450006

Example5

 Live Demo

x5<−rexp(50,2.35)
x5

Output

[1] 1.016516217 0.721335837 0.338276694 0.400194614 0.582205216 0.007181041
[7] 0.199392134 0.409682007 0.159855571 0.508902457 1.154262683 0.099887098
[13] 0.103252343 0.906729850 0.050266374 0.057188442 0.519506878 0.402857089
[19] 0.218303973 0.047213354 0.201429579 0.469359258 0.378838251 0.107099142
[25] 0.359931404 0.811271829 0.422585112 0.655336554 0.157745503 0.270419961
[31] 0.273113782 0.044406735 0.987502275 1.803740455 0.810761784 0.230156457
[37] 0.011306944 0.107074123 2.575930173 0.120097098 0.069905263 0.004458232
[43] 0.130728411 0.263245955 0.247016598 0.056639419 0.444263721 0.155409799
[49] 0.136015234 0.727748260

Example

cat(x5,fill=TRUE)

Output

1.016516 0.7213358 0.3382767 0.4001946 0.5822052 0.007181041 0.1993921 0.409682
0.1598556 0.5089025 1.154263 0.0998871 0.1032523 0.9067298 0.05026637
0.05718844 0.5195069 0.4028571 0.218304 0.04721335 0.2014296 0.4693593
0.3788383 0.1070991 0.3599314 0.8112718 0.4225851 0.6553366 0.1577455 0.27042
0.2731138 0.04440673 0.9875023 1.80374 0.8107618 0.2301565 0.01130694 0.1070741
2.57593 0.1200971 0.06990526 0.004458232 0.1307284 0.263246 0.2470166
0.05663942 0.4442637 0.1554098 0.1360152 0.7277483