Tutorial # 6. Arrays

Arrays are the multidimensional collection of the elements have same data type

and can not mixed with other data type

Syntax : array( data , dim , dimnames )

 

data => data to store in the arrays

dim => ( no_of_rows , no_of_col , no_of_level)

no_of_level : it's means no. of matrix with same data and dimensions)

dimname => dimensions name

Example:

data = c('I' , 'Am' , 'Best')

dimension = c(3,3,3)

rows = c('R1' , 'R2' , 'R3' )

cols = c('C1' , 'C2' , 'C3' )

mat_name = c('Matrix -1' , 'Matrix - 2' , 'Matrix - 3')

ar = array(data , dim = dimension , dimnames = list(rows , cols , mat_name))

print(ar)

 

Output:  

 

, , Matrix -1

C1 C2 C3
R1 "I" "I" "I"
R2 "Am" "Am" "Am"
R3 "Best" "Best" "Best"

, , Matrix - 2

C1 C2 C3
R1 "I" "I" "I"
R2 "Am" "Am" "Am"
R3 "Best" "Best" "Best"

, , Matrix - 3

C1 C2 C3
R1 "I" "I" "I"
R2 "Am" "Am" "Am"
R3 "Best" "Best" "Best" 

 

Accessing the Array

# matrix_name [ Row_no , Col_no , Matrix_no]

 

Example: 

ar[1,1,1]

ar[1,1,]

ar[1, , ] # or ar['R1' , , ] have same meaning

 

 

[1] "I"

Matrix -1 Matrix - 2 Matrix - 3
"I" "I" "I" 

Matrix -1 Matrix - 2 Matrix - 3
C1 "I" "I" "I"
C2 "I" "I" "I"
C3 "I" "I" "I"  

 

 

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An Introduction to language R

Tutorial # 1.Data Type & Variable  Declaration
Tutorial # 2.Operators
Tutorial # 3.Vector  & Element Access
Tutorial # 4.Matrix
Tutorial # 5.Data Frame

Tutorial # 6.Arrays
Tutorial # 7.Lists
Tutorial # 8.Factors
Tutorial # 9.Data import
Tutorial # 10.Machine Learning
Tutorial # 11.Visualization