The output to the above code is 7.Inside of 'arr' row 1 with column 3 and 1 is the first array 'arr'is extracted.
Let's extract number '7' from the above array 'arr'. Let's see how the elements in the array can be extracted with the following examples. You can see the matrices from 1 to 9 are generated with 3 3 dimension(row column) form, and the names of rows and columns are changed. The output of the above code is below:, , first Let's take an example below where the array contains vector input from 1 to 9.There are only three rows and columns where the value is from 1 to 9 is included.The 'c.names)' is the new column name which have vectors ('c1', 'c2', 'c3') and 'r.names' is the new row names ('r1', 'r2', 'r3') which is also the vector. The elements can be indexed by using '' wherein the array-like matrices consists of rows and columns which can be indexed by: mat Also, the value in the column gets repeated when once it is finished:, , Arr1Īn array consists of elements in a multi-dimensional manner where each element can be accessed for the operation. The output of the above code is below, where there are two rows and three columns. Let's rename our array to "Arr1" and "Arr2" by using "matrix.names".Also,the rows name changed to ("row1","row2") and column names will be changed to ("column1","column2","column3") respectively.The dimension of the matrix is 2 rows and 3 columns. The output of the above code is below :, , 1 You can take two vectors above as an input to an array where the dimension is considered as 4 * 4, and two matrices or dimensional data is created. 
Let's see an example below where two vectors named 'array1' and array2' are created. The array() function will create an array which takes a vector, which is the numbers and dimension('dim') in the argument. The data can be more than one dimensional, where there are rows and columns and dimensions of some length.
Arrays can store the values having only a similar kind of data types. For example, in square matrices can contain two rows and two columns and dimension can take five. In R, the array is objects that can hold two or more than two-dimensional data. An array is a data structure that can hold multi-dimensional data.
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