Useful Links
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
Descriptive Statistics
Statistical Concepts
Population vs Sample
Parameters vs Statistics
Levels of Measurement
Nominal
Ordinal
Interval
Ratio
Measures of Central Tendency
Mean
Arithmetic Mean
Weighted Mean
Trimmed Mean
Median
Mode
Choosing Appropriate Measures
Measures of Variability
Range
Interquartile Range
Variance
Population Variance
Sample Variance
Standard Deviation
Population Standard Deviation
Sample Standard Deviation
Coefficient of Variation
Mean Absolute Deviation
Measures of Position
Percentiles
Quartiles
Quantiles
Z-scores
Standardized Scores
Outlier Detection
Distribution Shape
Skewness
Kurtosis
Symmetry Assessment
Categorical Data Summary
Frequency Tables
Relative Frequencies
Proportions
Percentages
Cross-tabulations
Contingency Tables
Computing Descriptive Statistics in R
Base R Functions
mean() Function
median() Function
sd() Function
var() Function
quantile() Function
summary() Function
table() Function
dplyr Summaries
Grouped Summaries
Multiple Statistics
Custom Summary Functions
psych Package
Hmisc Package
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9. Data Visualization Fundamentals