How to access the table values in R?

Sometimes we want to extract table values, especially in cases when we have a big table. This helps us to understand the frequency for a particular item in the table. To access the table values, we can use single square brackets. For example, if we have a table called TABLE then the first element of the table can accessed by using TABLE[1].

Example1

 Live Demo

x1<−rpois(200,5)
x1

Output

[1] 10 7 6 4 3 8 4 5 4 4 2 8 7 5 3 5 3 5 3 9 7 5 8 4 2
[26] 7 6 6 5 3 11 3 5 8 7 6 3 5 6 1 3 7 8 4 6 6 3 6 7 6
[51] 14 3 3 3 8 9 4 3 9 2 8 5 2 2 3 8 4 3 3 6 5 6 6 5 5
[76] 5 4 3 1 6 11 9 10 7 6 4 4 5 8 4 4 2 6 6 7 5 3 5 3 4
[101] 5 2 6 6 5 6 2 5 5 6 3 4 5 4 16 5 2 0 2 5 5 5 2 4 3
[126] 6 3 3 2 3 5 5 6 3 7 4 5 7 4 7 5 6 5 5 6 11 3 2 7 4
[151] 4 5 7 4 9 6 4 1 4 8 4 3 3 10 7 4 8 5 4 9 5 6 3 2 4
[176] 8 4 5 7 4 6 5 5 1 7 4 7 6 5 4 7 9 3 11 5 6 4 4 3 4

Example

Table1<−table(x1)
Table1

Output

x1
0 1 2 3 4 5 6 7 8 9 10 11 14 16
1 4 14 31 35 39 29 19 12 7 3 4 1 1

Example

Table1[1]

Output

0
1

Example

Table1[2]

Output

1
4

Example

Table1[5]

Output

4
35

Example

Table1[10]

Output

9
7

Example2

 Live Demo

x2<−rpois(200,10)
x2

Output

[1] 8 8 10 12 12 9 7 8 13 8 9 3 10 8 9 11 11 15 10 12 9 5 14 8 9
[26] 14 7 4 7 8 9 12 8 10 16 7 7 6 10 9 14 17 11 6 10 7 13 13 8 11
[51] 11 6 8 9 11 9 16 8 10 11 6 12 10 13 10 10 11 6 12 6 9 7 6 7 17
[76] 16 13 9 9 13 13 9 10 10 10 13 9 11 10 10 13 13 11 15 10 12 7 11 15 2
[101] 10 7 14 7 15 9 9 13 19 16 12 3 13 20 10 16 7 16 16 17 13 11 7 11 8
[126] 8 9 2 10 16 12 13 6 10 12 16 10 15 8 5 9 11 8 3 5 7 10 10 5 11
[151] 5 8 6 11 2 7 8 9 17 9 10 10 15 7 8 8 14 8 10 15 6 12 12 11 8
[176] 8 14 8 8 17 8 11 14 11 8 12 13 9 13 9 9 7 5 12 9 6 12 9 11 12

Example

Table2<−table(x2)
Table2

Output

x2
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 19 20
3 3 1 6 11 17 26 25 26 20 16 16 7 7 9 5 1 1

Example

Table2[2]

Output

3
3

Example

Table2[10]

Output

11
20

Example

Table2[15]

Output

16
9

Example3

 Live Demo

x3<−sample(501:510,200,replace=TRUE)
x3

Output

[1] 501 505 508 503 506 510 505 507 502 501 503 502 502 509 506 509 507 504
[19] 501 510 501 509 506 504 501 501 503 506 509 504 505 505 509 502 509 509
[37] 508 504 505 506 503 504 505 503 507 506 503 510 506 506 506 505 502 506
[55] 502 503 510 501 505 510 501 508 506 506 501 507 508 508 507 505 508 509
[73] 507 506 508 504 510 506 510 505 509 504 505 505 510 507 504 505 503 506
[91] 507 509 504 504 506 508 503 502 505 508 510 508 506 501 501 507 506 501
[109] 504 507 501 510 508 504 510 507 506 505 502 507 510 506 501 510 509 508
[127] 503 508 504 508 504 505 503 503 508 506 501 503 502 509 502 508 509 506
[145] 510 502 508 507 509 507 506 510 501 508 502 505 502 503 510 508 503 506
[163] 505 505 509 502 504 501 501 508 508 507 509 501 505 509 502 508 508 505
[181] 508 502 509 501 508 502 510 507 504 509 503 503 509 501 504 503 508 501
[199] 506 502

Example

Table3<−table(x3)
Table3

Output

x3
501 502 503 504 505 506 507 508 509 510
22 18 18 17 21 25 16 26 20 17
Table3[1]
501
22
Table3[5]
505
21
Table3[1:5]
x3
501 502 503 504 505
22 18 18 17 21
Table3[6:10]
x3
506 507 508 509 510
25 16 26 20 17

Nizamuddin Siddiqui

Updated on: 10-Feb-2021

4K+ Views

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