# How to find the column names and row names from a matrix in R?

R ProgrammingServer Side ProgrammingProgramming

The rownames and colnames functions are used to define the corresponding names of a matrix and if we want to extract those names then the same function will be used. For example, if we have a matrix called M that has row names and column names then these names can be found by using rownames(M) and colnames(M).

## Example

Live Demo

> M1<-matrix(1:100,ncol=10)
> M1

## Output

[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 1 11 21 31 41 51 61 71 81 91
[2,] 2 12 22 32 42 52 62 72 82 92
[3,] 3 13 23 33 43 53 63 73 83 93
[4,] 4 14 24 34 44 54 64 74 84 94
[5,] 5 15 25 35 45 55 65 75 85 95
[6,] 6 16 26 36 46 56 66 76 86 96
[7,] 7 17 27 37 47 57 67 77 87 97
[8,] 8 18 28 38 48 58 68 78 88 98
[9,] 9 19 29 39 49 59 69 79 89 99
[10,] 10 20 30 40 50 60 70 80 90 100

## Example

> rownames(M1)<-LETTERS[1:10]
> colnames(M1)<-LETTERS[1:10]
> M1

## Output

A B C D E F G H I J
A 1 11 21 31 41 51 61 71 81 91
B 2 12 22 32 42 52 62 72 82 92
C 3 13 23 33 43 53 63 73 83 93
D 4 14 24 34 44 54 64 74 84 94
E 5 15 25 35 45 55 65 75 85 95
F 6 16 26 36 46 56 66 76 86 96
G 7 17 27 37 47 57 67 77 87 97
H 8 18 28 38 48 58 68 78 88 98
I 9 19 29 39 49 59 69 79 89 99
J 10 20 30 40 50 60 70 80 90 100

## Example

> Row_Names_M1<-rownames(M1)
> Row_Names_M1

## Output

[1] "A" "B" "C" "D" "E" "F" "G" "H" "I" "J"

## Example

> Column_Names_M1<-colnames(M1)
> Column_Names_M1

## Output

[1] "A" "B" "C" "D" "E" "F" "G" "H" "I" "J"

## Example

Live Demo

> M2<-matrix(rpois(25,2),nrow=5)
> M2

## Output

[,1] [,2] [,3] [,4] [,5]
[1,] 2 1 4 0 2
[2,] 3 3 0 3 3
[3,] 0 4 3 4 1
[4,] 4 1 0 1 0
[5,] 0 4 2 4 1

## Example

> rownames(M2)<-c("India","Russia","China","Canada","USA")
> M2

## Output

India Russia China Canada USA
India 2 1 4 0 2
Russia 3 3 0 3 3
China 0 4 3 4 1
Canada 4 1 0 1 0
USA 0 4 2 4 1

## Example

> Row_Names_M2<-rownames(M2)
> Row_Names_M2

## Output

[1] "India" "Russia" "China" "Canada" "USA"

## Example

Column_Names_M2<-colnames(M2)
> Column_Names_M2

## Output

[1] "India" "Russia" "China" "Canada" "USA"

## Example

Live Demo

> M3<-matrix(rnorm(36),nrow=6)
> M3

## Output

[,1] [,2] [,3] [,4] [,5] [,6]
[1,] -0.81749436 -0.32603647 0.03249139 1.5090542 -0.9081710 1.2238853
[2,] -0.04507115 1.07842603 -1.11499780 0.4417905 -0.2758092 -0.9476823
[3,] -1.03613764 -2.65759584 -1.15795880 -1.9723598 -0.8386178 -0.2994112
[4,] 0.10289330 -0.06578772 -0.11692342 0.6313891 0.9125360 -0.2126542
[5,] 0.28185191 1.13375235 -0.47490971 0.2593980 -0.9350917 -0.4375274
[6,] 0.08914057 -0.32701974 1.25754633 -1.7432336 1.1584573 0.4017967

## Example

> rownames(M3)<-c("C1","C2","C3","C4","C5","C6")
> colnames(M3)<-c("S1","S2","S3","S4","S5","S6")
> M3

## Output

S1 S2 S3 S4 S5 S6
C1 -0.81749436 -0.32603647 0.03249139 1.5090542 -0.9081710 1.2238853
C2 -0.04507115 1.07842603 -1.11499780 0.4417905 -0.2758092 -0.9476823
C3 -1.03613764 -2.65759584 -1.15795880 -1.9723598 -0.8386178 -0.2994112
C4 0.10289330 -0.06578772 -0.11692342 0.6313891 0.9125360 -0.2126542
C5 0.28185191 1.13375235 -0.47490971 0.2593980 -0.9350917 -0.4375274
C6 0.08914057 -0.32701974 1.25754633 -1.7432336 1.1584573 0.4017967

## Example

> Row_Names_M3<-rownames(M3)
> Row_Names_M3

## Output

[1] "C1" "C2" "C3" "C4" "C5" "C6"

## Example

> Column_Names_M3<-colnames(M3)
> Column_Names_M3

## Output

[1] "S1" "S2" "S3" "S4" "S5" "S6"
Published on 04-Jan-2021 06:40:08