# R Array Function and Create Array in R – An Ultimate Cheat Sheet

We will understand all the aspects related to the R array in this tutorial. We will cover different operations which are performed on rows and columns in an R array and an example to understand this concept in a better way.

Let’s start the tutorial.

## Introduction to Array in R

In arrays, data is stored in the form of matrices, rows, and columns. We can use the matrix level, row index, and column index to access the matrix elements.

R arrays are the data objects which can store data in more than two dimensions. An array is created using the **array() function**. We can use vectors as input and create an array using the below-mentioned values in the dim parameter.

**Get to know about all the R vector operations with example**

### R Array Syntax

Array_NAME <- array(data, dim = (row_Size, column_Size, matrices, dimnames)

**data –**Data is an input vector that is given to the array.**matrices –**Array in R consists of multi-dimensional matrices.**row_Size –**row_Size describes the number of row elements that an array can store.**column_Size –**Number of column elements that can be stored in an array.**dimnames –**Used to change the default names of rows and columns to the user’s preference.

### Arguments in Array

The array function in R can be written as:

array(data = NA, dim = length(data), dimname = NULL)

**data**is a vector that provides data to fill the array.**dim**attribute provides maximum indices in each dimension**dimname**can be either NULL or can have a name for the array.

### How to Create Array in R

Now, we will create an R array of two 3×3 matrices each with 3 rows and 3 columns.

**# Create two vectors of different lengths.**

vector1 <- c(2,9,3) vector2 <- c(10,16,17,13,11,15)

**# Take these vectors as input to the array.**

result <- array(c(vector1,vector2),dim = c(3,3,2)) print(result)

**When we execute the above code, it produces the following result:**

**Everything you need to know about R Matrix**

## Different Operations on Rows and Columns

### 1. Naming Columns And Rows

We can give names to the rows, columns, and matrices in the array by using the dimnames parameter.

**# Create two vectors of different lengths.**

vector1 <- c(2,9,6) vector2 <- c(10,15,13,16,11,12) column.names <- c("COL1","COL2","COL3") row.names <- c("ROW1","ROW2","ROW3") matrix.names <- c("Matrix1","Matrix2")

**Code Display:**

**# Take these vectors as input to the array.**

result <- array(c(vector1,vector2),dim = c(3,3,2),dimnames = list(row.names,column.names, matrix.names)) print(result)

**When we execute the above code, it produces the following result:**

**Do you know about all the R Vector Functions**

### 2. Accessing R Array Elements

**# We will create two vectors of different lengths.**

vector1 <- c(2,9,6) vector2 <- c(10,15,13,16,11,12) column.names <- c("COL1","COL2","COL3") row.names <- c("ROW1","ROW2","ROW3") matrix.names <- c("Matrix1","Matrix2")

**Code Display:**

**# Now, we will take these vectors as input to the array.**

result <- array(c(vector1,vector2),dim = c(3,3,2), dimnames = list(row.names,column.names, matrix.names)) print(result)

**When we execute the above code, it produces the following result:**

**# Print the third row of the second matrix of the array.**

print(result[3,,2])

**# Print the element in the 1st row and 3rd column of the 1st matrix.**

print(result[1,3,1])

**# Print the 2nd Matrix.**

print(result[,,2])

**When we execute the above code, it produces the following result:**

**Have you checked – Numeric and Character Functions in R**

### 3. Manipulating R Array Elements

As the array is made up matrices in multiple dimensions, the operations on elements of an array are carried out by accessing elements of the matrices.

**# Create two vectors of different lengths.**

vector1 <- c(1,2,3) vector2 <- c(3,4,5,6,7,8)

**# Take these vectors as input to the array.**

array1 <- array(c(vector1,vector2),dim = c(3,3,2))

**# Create two vectors of different lengths.**

vector3 <- c(3,2,1) vector4 <- c(8,7,6,5,4,3) array2 <- array(c(vector1,vector2),dim = c(3,3,2))

**Code Display:**

**# create matrices from these arrays.**

matrix1 <- array1[,,2] matrix2 <- array2[,,2]

**# Add the matrices.**

result <- matrix1+matrix2 print(result)

**When we execute the above code, it produces the following result:**

**Don’t forget to check the R Matrix Functions Tutorial**

### 4. Calculations across R Array Elements

We will be using the **apply()function** for calculations in an array in R.

**Syntax**

apply(x, margin, fun)

**Following is the description of the parameters used** −

- x is an array.
- a margin is the name of the dataset used.
- fun is the function to be applied to the elements of the array.

**For Example**:

We use the apply() function below in different ways. To calculate the sum of the elements in the rows of an array across all the matrices.

**# We will create two vectors of different lengths.**

vector1 <- c(1,2,3) vector2 <- c(3,4,5,6,7,8)

**# Now, we will take these vectors as input to the array.**

new.array <- array(c(vector1,vector2),dim = c(3,3,2)) print(new.array)

**# Use apply to calculate the sum of the rows across all the matrices.**

result <- apply(new.array, c(1), sum) print(result)

**When we execute the above code, it produces the following result:**

## Summary

We have studied arrays in R in a detailed manner with an example for a clear understanding of it. We can use the R array in daily life too. Also, we have learned different R array operations which will help you out with the concept of its applications.

**Time to check your knowledge of R with the R Programming Online Quiz.**

hi

can you pls explain usage of apply function with arguments like what is does in thia example:

result<-apply(new.array,c(1),sum)

what is the function of c(1) here

Hey,nidhi use of c(1)-

MARGIN is a variable defining how the function is applied: when MARGIN=1 , it applies over rows, whereas with MARGIN=2 , it works over columns. Note that when you use the construct MARGIN=c(1,2) , it applies to both rows and columns; and. FUN , which is the function that you want to apply to the data