R Programming for Statistics and Data Science - Changing the Dimensions of an Object in R

The video tutorial covers vector attributes in R, focusing on names, dimensions, and class. It demonstrates creating a vector and transforming it into a matrix using the dim function, explaining how R fills matrices column by column. The tutorial also delves into the concept of classes, highlighting their role in defining object structures and operations. The importance of understanding classes for future learning in R is emphasized.

What are the three commonly used vector attributes in R?

• Names, dimensions, and class

• Length, width, and height

• Type, size, and color

• Shape, form, and texture

How does R fill a matrix by default when using the dim function?

• Row by row

• Randomly

• Column by column

• Diagonally

What function allows you to change the default order of filling a matrix in R?

• vector function

• matrix function

• array function

• dim function

What remains unchanged when you alter the dimensions of an object in R?

• The object's color

• The object's size

• The object's basic type

• The object's class

Why is understanding classes important in R?

• It provides the base information needed for operations

• It helps in creating colorful graphs

• It allows for faster computation

• It simplifies the code syntax