
The lecture demonstrates concatenating numeric and character elements in R with paste function in RStudio. It covers joining text and variables and avoiding string and number errors in data manipulation.
Explore R data types by creating numeric, integer, character, and logical variables in R Studio, and observe their classes and outputs through practical examples like age, name, and boolean comparisons.
Learn how to use if else statements in R to compare variables a and b, decide outcomes, and print results such as who is greater or whether someone is adult.
Learn to create line plots in R using the plot function, adjust line type, color, width, and style, and plot multiple lines with lines, mastering basic customization in RStudio.
Learn to create dynamic bar charts in R using the barplot function in RStudio to visualize categorical data with color, density, bar width, and horizontal orientation.
Welcome to the R Programming - R Programming Language Beginners to Pro course! Whether you're a complete novice or an experienced programmer looking to expand your skills, this comprehensive course is designed to take you from beginner to proficient user in R programming.
Dive into the fundamental syntax of R programming, including variables, data types (numeric, character, logical), vectors, and basic operations. Learn how to write and execute R code in the RStudio console. Explore R's essential data structures, including vectors, matrices, arrays, lists, and data frames. Understand how to create, manipulate, and access elements in each data structure.
R is a powerful and versatile programming language widely used for statistical computing, data analysis, and visualization. In this course, you'll learn everything you need to know to harness the full potential of R, from basic concepts to advanced techniques.
Here's an overview of what you can expect to learn:
Comments
Concatenate Elements
Data Types
Math
Strings
Escape Characters
Booleans or Logical Values
Operators
Nested If
AND OR Operators
For Loop
Nested Loops
Functions
Recursion
Lists
Matrices
Arrays
Data Frames
Factors
Line
Scatter Plot
Bar Charts
Introduction of Statistics
Data Set
Max and Min
Mean
Median
Mode
End of this course, you'll have the skills and confidence to tackle data analysis, visualization, and statistical modeling tasks using R, positioning yourself as a proficient R programmer. Join us on this exciting journey into the world of R programming, and let's unlock the full potential of data with R together!