Get started with R -Introduction to R-programming #Beginners

Learn to install and manage R packages in RStudio, via the tools menu or install.packages, load with library, and comment with hashtags for clear, reproducible code from repository or archive.

Discover basic calculation functions in R, write 5 * 2 in the console, and see the output. Explore arithmetic and logical operators and built-in functions like geometry and modeling possibilities.

Learn how to assign variables in R by computing a sum of eight and seven and a product of four and two; name variables meaningfully and retrieve results from console.

Discover how to assign and convert core data types in R, including numeric and integer variables (with L or as.integer), character strings, and factors with ordered levels.

Explore data types and data structures in R, including numeric, integer, logical, character, and factors, and learn how factors store categorical data with levels and order.

Learn data types and structures in R, including numeric, integer, and character variables, and work with factors—levels, order, and how alphabet order affects them—while using paste to combine strings.

Explore vectors in R, including declaring six vector types, type conversion among numeric and character, indexing and slicing, elementwise operations, recycling rules, and using built-in functions like max and var.

Explore factors as categorical data in R, where strings become factors by default, and use the levels argument to control the order of levels.

Learn how R lists act as containers for mixed data types with named elements, accessed by single and double brackets, and how to add, delete, overwrite, and inspect structure.

Create and manipulate matrices in R using matrix(), define rows and columns, join vectors with cbind and rbind, and index with two indices to extract specific rows or columns.

Explore data frames as the core tabular data type, with named columns (variables) and observations, inspect their structure and summary to understand data types and basic statistics.

Explore functions in R with a hands-on lab that covers built-in operations like square root and logarithm, uses arguments, and demonstrates writing and returning results from custom functions.

Master control structures in R by exploring if, ifelse, and vectorized one-line conditions, with examples using print and vector data to evaluate and branch based on numeric tests.

Use for loops in R to run code multiple times, iterating over a sequence or vector elements, printing results and using length to determine iterations.

Explore additional learning opportunities by visiting the instructor's Udemy page, YouTube channel Geo World, and social profiles to access guided courses in js, remote sensing, data science, and machine learning.