# How to create a matrix using vector of string values in R?

You might have heard that matrix can contain only numerical values but it is also possible to create a matrix with string values, and of course calculations using these types of matrices would not be possible. To create a matrix using string values, we can first create a vector of strings then define its dimension with dim function and that will convert the vector into matrix of string values.

## Example

Live Demo

M1<-rep(c("A","B","C","D","E"),each=5)
M1

## Output

[1] "A" "A" "A" "A" "A" "B" "B" "B" "B" "B" "C" "C" "C" "C" "C" "D" "D" "D" "D"
[20] "D" "E" "E" "E" "E" "E"

## Example

dim(M1)<-c(5,5)
M1

## Output

    [,1] [,2] [,3] [,4] [,5]
[1,] "A" "B"  "C"  "D"  "E"
[2,] "A" "B"  "C"  "D"  "E"
[3,] "A" "B"  "C"  "D"  "E"
[4,] "A" "B"  "C"  "D"  "E"
[5,] "A" "B"  "C"  "D"  "E"

is.matrix(M1) [1] TRUE

## Example

Live Demo

M2<-sample(c("A","B","C","D"),36,replace=TRUE)
M2

## Output

[1] "C" "A" "B" "C" "B" "D" "A" "D" "A" "A" "D" "D" "A" "D" "C" "D" "D" "D" "C"
[20] "C" "C" "B" "A" "A" "D" "A" "C" "B" "D" "D" "C" "D" "D" "C" "C" "C"

## Example

dim(M2)<-c(6,6)
M2

## Output

    [,1] [,2] [,3] [,4] [,5] [,6]
[1,] "D" "A"  "C"  "A"  "B"  "C"
[2,] "D" "B"  "B"  "D"  "A"  "B"
[3,] "C" "B"  "B"  "A"  "D"  "C"
[4,] "D" "D"  "C"  "B"  "A"  "B"
[5,] "C" "B"  "A"  "A"  "D"  "A"
[6,] "A" "B"  "B"  "A"  "A"  "D"

is.matrix(M2) [1] TRUE

## Example

Live Demo

M3<-sample(letters[1:10],60,replace=TRUE) M3

## Output

[1] "d" "a" "d" "b" "b" "c" "j" "d" "h" "f" "f" "b" "a" "i" "h" "i" "e" "h" "d"
[20] "a" "i" "g" "a" "g" "h" "h" "e" "g" "a" "g" "c" "i" "j" "d" "e" "f" "b" "b"
[39] "i" "d" "d" "e" "d" "e" "g" "g" "j" "g" "a" "g" "j" "j" "d" "c" "b" "j" "h"
[58] "f" "e" "a"

## Example

dim(M3)<-c(10,6)
M3

## Output

    [,1] [,2]  [,3] [,4]  [,5] [,6]
[1,] "f"  "h"  "a"   "f"  "d"  "c"
[2,] "e"  "h"  "g"   "b"  "i"  "e"
[3,] "b"  "j"  "h"   "h"  "h"  "g"
[4,] "i"  "f"  "d"   "i"  "c"  "d"
[5,] "j"  "f"  "j"   "b"  "j"  "d"
[6,] "a"  "d"  "c"   "j"  "e"  "j"
[7,] "b"  "i"  "j"   "i"  "e"  "c"
[8,] "c"  "i"  "d"   "i"  "b"  "a"
[9,] "g"  "f"  "a"   "d"  "d"  "j"
[10,] "d" "f"  "e"   "b"  "f"  "i"

is.matrix(M3) [1] TRUE

## Example

Live Demo

M4<-sample(LETTERS[1:26],100,replace=TRUE)M4

## Output

[1] "J" "R" "D" "B" "Z" "F" "V" "M" "U" "M" "X" "A" "L" "L" "N" "G" "O" "H"
[19] "J" "C" "Y" "L" "I" "N" "Y" "D" "E" "N" "U" "Q" "Y" "X" "J" "O" "T" "Q"
[37] "X" "H" "V" "Z" "I" "P" "J" "Q" "Z" "G" "J" "V" "U" "P" "X" "P" "K" "O"
[55] "Y" "L" "E" "B" "B" "P" "Y" "D" "M" "S" "U" "K" "D" "N" "B" "B" "P" "V"
[73] "O" "Z" "L" "L" "G" "J" "Y" "Z" "K" "C" "Z" "Q" "Y" "C" "G" "H" "F" "J"
[91] "Q" "W" "Q" "H" "H" "Q" "O" "M" "I" "S"

## Example

dim(M4)<-c(10,10)
M4

## Output

     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] "I"  "K"  "A"   "X"  "X"  "N"  "Y"  "U"  "U"  "P"
[2,] "Y"  "R"  "Q"   "Y"  "V"  "M"  "T"  "L"  "X"  "X"
[3,] "F"  "H"  "E"   "N"  "V"  "G"  "A"  "G"  "Y"  "P"
[4,] "C"  "D"  "K"   "E"  "P"  "M"  "S"  "B"  "K"  "Z"
[5,] "W"  "C"  "G"   "H"  "J"  "E"  "U"  "G"  "C"  "Q"
[6,] "D"  "T"  "J"   "V"  "D"  "A"  "L"  "S"  "I"  "P"
[7,] "N"  "T"  "W"   "T"  "J"  "T"  "R"  "E"  "S"  "S"
[8,] "W"  "N"  "P"   "O"  "B"  "E"  "M"  "W"  "G"  "P"
[9,] "I"  "I"  "N"   "M"  "I"  "L"  "W"  "E"  "D"  "W"
[10,] "E"  "Y"  "B"  "T"  "M"  "C"  "F"  "P"  "R"  "L"

is.matrix(M4) [1] TRUE

## Example

Live Demo

M5<-sample(c("India","Russia","China","Denmark"),60,replace=TRUE)
M5

## Output

[1] "China" "Denmark" "China" "China" "Russia" "Russia" "Denmark"
[8] "China" "Russia" "Russia" "Denmark" "India" "China" "Russia"
[15] "India" "China" "China" "China" "Russia" "India" "India"
[22] "Denmark" "Russia" "Russia" "Russia" "China" "China" "India"
[29] "Russia" "Denmark" "Russia" "Russia" "China" "India" "Russia"
[36] "Russia" "Russia" "India" "China" "Denmark" "Russia" "China"
[43] "India" "Russia" "China" "China" "China" "Russia" "India"
[50] "Denmark" "India" "China" "India" "Denmark" "Denmark" "Denmark"
[57] "Denmark" "India" "Russia" "China"

## Example

dim(M5)<-c(10,6)
M5

## Output

        [,1]    [,2]    [,3]       [,4]       [,5]       [,6]
[1,] "India"  "China"   "India"  "Russia"  "Denmark"   "Denmark"
[2,] "Russia"  "Denmark"  "Russia" "Russia" "Denmark"   "India"
[3,] "China"  "India"   "China"    "China"  "Denmark"   "Denmark"
[4,] "Denmark"  "India"  "Russia"  "India" "Denmark"   "China"
[5,] "Russia"  "China"  "Russia"  "China"   "Russia"   "China"
[6,] "Denmark"  "China"  "Russia"  "Denmark" "Denmark"  "China"
[7,] "Denmark"  "Russia"  "China"  "India"  "China"   "China"
[8,] "Denmark"  "China"  "Denmark"  "India"  "India"   "Denmark"
[9,] "Denmark"  "India"  "Denmark"  "India"  "Russia"   "China"
[10,] "Russia"  "Denmark" "China"  "India"  "Denmark"  "India"

is.matrix(M5) [1] TRUE

## Example

Live Demo

M6<-sample(c("Cold","Winter","Hot"),40,replace=TRUE)
M6

## Output

[1] "Hot" "Cold" "Hot" "Winter" "Winter" "Hot" "Cold" "Winter"
[9] "Hot" "Winter" "Cold" "Winter" "Hot" "Winter" "Hot" "Winter"
[17] "Hot" "Winter" "Cold" "Cold" "Winter" "Cold" "Cold" "Hot"
[25] "Hot" "Hot" "Hot" "Hot" "Cold" "Winter" "Winter" "Cold"
[33] "Cold" "Winter" "Winter" "Hot" "Hot" "Hot" "Hot" "Hot"

## Example

dim(M6)<-c(10,4)
M6

## Output

     [,1]     [,2]      [,3]      [,4]
[1,] "Hot"    "Hot"    "Cold"    "Winter"
[2,] "Hot"    "Hot"     "Winter"  "Winter"
[3,] "Winter" "Cold"  "Winter"  "Cold"
[4,] "Cold"  "Cold"   "Hot"    "Winter"
[5,] "Hot"   "Cold"    "Cold"    "Hot"
[6,] "Cold"  "Winter"  "Hot"    "Cold"
[7,] "Winter" "Winter" "Cold"   "Hot"
[8,] "Cold"  "Cold"  "Cold"    "Hot"
[9,] "Cold"  "Cold"  "Winter"  "Cold"
[10,] "Cold" "Winter" "Winter" "Hot"

is.matrix(M6) [1] TRUE

Updated on: 09-Oct-2020

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