
Explore the syntax of the R programming language, including printing with the print function, using comments, defining variables and data types, and building basic for loops with sample outputs.
Learn how to display results in R using print and cat, format text with variables and placeholders, and explore basic output techniques for debugging and readable output.
Learn how to create and use variables in R, storing data values. Assign with the assignment operator, print outputs with the print function, and loop with for to output results.
Explore how to handle multiple variables in R using RStudio, including creating name and age variables, assigning the same value to several variables, and printing results from the global environment.
Learn how meaningful variable names boost readability in R programming, and explore naming rules, camel case and snake case conventions with practical examples.
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.
Discover the core R number types—numeric, integer, and complex—learn to create, print, and convert between them, and inspect their class in R programming.
Explore basic arithmetic in R using R Studio, mastering addition, subtraction, multiplication, and division, then apply square root, exponent, and logarithm functions for data analysis.
Explore strings in R programming, including creating strings with quotes, concatenating with paste, and measuring length to manipulate and clean text data.
Explore escape characters in R, using the backslash to embed special symbols in strings. Create examples showing new line, tab, and quotes, and print the resulting output.
Explore booleans as logical values in R, using true and false, logical operators (and, or, not), and practical examples with if statements and for loops in RStudio.
Explore how arithmetic, relational, logical, and assignment operators work in R programming, with practical examples showing addition, subtraction, multiplication, division, comparisons, and variable assignment.
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.
Explore nested if statements in R programming, using if inside if and else branches to handle multiple conditions; learn by creating and printing outputs based on x values.
Explore how to combine conditions using and and or operators in R, build if statements in RStudio, and print results for complex decision making.
Master while and for loops in R programming, learn how to control repetition with break and next, and observe loop outputs through practical print examples.
Explore how to use for loops in R to iterate over sequences, print iterations from 1 to 5, compute sums, and control flow with break statements.
Explore how to implement nested loops in R using for loops, print, and paste to generate multiplication tables and iteration combinations. Learn practical looping in R Studio.
Master defining and calling functions in R with the function keyword, passing parameters, returning values, and using examples like hello world and a multiply function.
Explore nested functions in R programming by defining a function within another and by calling a function inside a function, showcasing outer and inner functions and practical examples.
Learn recursion in R programming, where a function calls itself, and implement a tree recursion in R Studio that prints 1, 3, 6, 10, 15, 21, 28, 36.
Explore global variables in R programming, learning how they are declared, accessed inside and outside functions, and how their values print across the entire program.
Learn how to create and manipulate vectors in R using the c function in RStudio, covering numeric, character, and logical vectors, indexing, slicing, and length.
Learn to create and manipulate lists in R using RStudio, combining multiple data types in a single container, access elements by name or index, modify values, and build nested structures.
Explore how to create and manipulate multi-dimensional arrays in R using RStudio, including constructing 3D arrays, indexing elements, and performing basic array operations.
Explore data frames in R programming, building and modifying a 2D, tabular employee dataset with name, age, and salary, and combining frames to form a unified table.
Explore factors in R, converting categorical data to factor data types using the iris dataset, defining levels and order. Learn basic factor operations such as merging and printing results.
Master plotting in R by using the plot function to plot points, lines, and multiple points, and customize graphs with main, xlab, ylab, color, and size.
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.
Explore the basics of statistics in R programming, including descriptive statistics, mean, median, minimum and maximum, standard deviation, correlation, probabilities, and distributions, with practical code examples.
Explore how to work with the empty curse data set in R programming by inspecting its dimensions, viewing names, accessing values with the dollar sign, and sorting data.
Identify the maximum and minimum values in R using vectors and data sets, applying max and min to horsepower data and the cars data set, and explore outlier detection.
Explore how to compute the mean in R using numeric vectors and the empty cars data set, including code for calculating and printing the average value.
Learn how to compute the median in R programming. Use numeric vectors and data sets, handle even cases by averaging the two middle values, and apply the median function.
Explore how to identify the mode—the most frequent value—in R programming, including handling multiple modes, using vectors and a data set like mtcars, and creating simple functions to count occurrences.
Learn how to compute and interpret percentiles in R using the quantile function, with examples from the curves dataset and 0.75, 0.25, and 0.5 percentiles.
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!