Programming with R Studio

1.1 Overview of R Programming and R Studio
o Introduction to R language
o Installing R and R Studio
o Navigating the R Studio interface
o Writing your first R script
• 1.2 Basic Syntax and Operations
o Variables, data types, and operators
o Input and output in R
o Arithmetic operations
o Working with scripts and commands in R Studio

2.1 Vectors and Lists
o Creating and manipulating vectors
o Introduction to lists
• 2.2 Matrices, Arrays, and Data Frames
o Creating and working with matrices
o Arrays and their applications
o Introduction to data frames: reading and manipulating data
• 2.3 Factors
o Understanding factors and their importance
o Using factors in R for categorical data

3.1 Importing and Exporting Data
o Reading data from CSV, Excel, and other formats
o Exporting data to various file formats
• 3.2 Data Cleaning and Preprocessing
o Handling missing data
o Filtering, sorting, and summarizing data3.3 Using dplyr and tidyr for Data Manipulation
o Introduction to the dplyr package
o Using tidyr for reshaping data

• 4.1 Introduction to Data Visualization
o Importance of visualizing data
o Basic plotting functions in R
• 4.2 Advanced Visualization with ggplot2
o Creating complex plots using ggplot2
o Customizing plots: labels, themes, and colors
o Saving and exporting visualizations

5.1 Introduction to Statistics in R
o Descriptive statistics: mean, median, mode, variance
o Probability distributions
o Hypothesis testing (t-tests, chi-square tests)
5.2 Linear and Logistic Regression
o Introduction to linear regression models
o Building logistic regression models
o Interpreting model outputs and diagnostics