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Statistics
Statistics with R
1. Introduction to R and Statistical Computing
2. R Fundamentals and Basic Operations
3. R Package System
4. R Data Structures
5. Data Import and Export
6. Data Cleaning and Preprocessing
7. Data Manipulation with dplyr
8. Descriptive Statistics
9. Data Visualization Fundamentals
10. Advanced Data Visualization with ggplot2
11. Probability Theory
12. Probability Distributions
13. Sampling and Sampling Distributions
14. Statistical Inference Foundations
15. Hypothesis Testing Framework
16. One-Sample Tests
17. Two-Sample Tests
18. Chi-squared Tests
19. Analysis of Variance (ANOVA)
20. Correlation Analysis
21. Simple Linear Regression
22. Regression Diagnostics
23. Multiple Linear Regression
24. Generalized Linear Models
25. Nonparametric Statistics
26. Introduction to Time Series Analysis
27. Introduction to Machine Learning
28. Reproducible Research
29. Statistical Computing Best Practices
R Fundamentals and Basic Operations
R as a Calculator
Arithmetic Operations
Order of Operations
Mathematical Functions
Scientific Notation
Variables and Assignment
Assignment Operators
Variable Naming Rules
Variable Naming Conventions
Case Sensitivity
Understanding R Functions
Function Syntax
Arguments and Parameters
Default Arguments
Named Arguments
Nested Function Calls
Getting Help in R
help() Function
? Operator
?? Operator for Fuzzy Search
example() Function
vignette() Function
Online Documentation
R Workspace Management
Working Directory Concepts
getwd() and setwd()
Listing Objects
Removing Objects
Saving and Loading Workspaces
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3. R Package System