R Statistics
- Statistics Introduction
- Measures of Central Tendency (Mean, Median, Mode)
- Measures of Dispersion (Variance, Standard Deviation, Range)
- Skewness and Kurtosis
- Probability Distributions (Normal, Binomial, etc.)
- Hypothesis Testing
- Confidence Intervals
- p-values and Significance Levels
- Correlation and Regression Analysis
- Simple Linear Regression
- Multiple Linear Regression
- Analysis of Variance (ANOVA)
- Wilcoxon Rank-Sum Test
- Kruskal-Wallis Test
R Programming ExamplesR Comments
This R Programming Examples article will cover all R programming practice Questions and learn R Language. We can improve our R programming Skills using sets of questions from basic to advanced, containing a well-explained and detailed solution to each question.
In this article, we will be discussing fundamental concepts like Variables, Data Types, Strings, loops, functions, matrices, Data frames, File handling, and much more.
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