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R Programmingprogramming~15 mins

Matrix dimensions in R Programming - Mini Project: Build & Apply

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Matrix dimensions
📖 Scenario: You are working with a simple matrix in R, which is like a table of numbers arranged in rows and columns. Understanding the size of this matrix helps you know how many rows and columns it has.
🎯 Goal: You will create a matrix with specific numbers, then find out how many rows and columns it has using R functions.
📋 What You'll Learn
Create a matrix with exact values
Use a variable to store the matrix
Use R functions to find the number of rows and columns
Print the number of rows and columns
💡 Why This Matters
🌍 Real World
Matrices are used in data analysis, statistics, and scientific computing to organize and manipulate data in rows and columns.
💼 Career
Knowing how to handle matrix dimensions is important for data scientists, statisticians, and anyone working with numerical data in R.
Progress0 / 4 steps
1
Create the matrix
Create a matrix called my_matrix with the numbers 1 to 6 arranged in 2 rows and 3 columns using the matrix() function.
R Programming
Need a hint?

Use matrix(1:6, nrow = 2, ncol = 3) to create the matrix.

2
Store the number of rows
Create a variable called num_rows and set it to the number of rows in my_matrix using the nrow() function.
R Programming
Need a hint?

Use nrow(my_matrix) to get the number of rows.

3
Store the number of columns
Create a variable called num_cols and set it to the number of columns in my_matrix using the ncol() function.
R Programming
Need a hint?

Use ncol(my_matrix) to get the number of columns.

4
Print the dimensions
Print the number of rows and columns stored in num_rows and num_cols using two separate print() statements.
R Programming
Need a hint?

Use print(num_rows) and print(num_cols) to show the results.