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R: Statistical Models for Data Analysis
Section 1 Introduction
Lecture 1 Welcome (1:57)
Lecture 2 Introduction to R (3:22)
Lecture 3 Benefits (1:17)
Lecture 4 Some Sample R Applications (1:14)
Lecture 5 First Applications in R (1:39)
Lecture 6 Installing R Packages (1:33)
Section 2 Data Structures and Working with Data
Lecture 7 Vectors and Lists (2:22)
Lecture 8 Matrix and DataFrames (5:40)
Lecture 9 Casting Variables (3:43)
Lecture 10 Data Manipulation (4:16)
Lecture 11 Data Importing and Exporting (5:59)
Lecture 12 Connecting PostgreSQL Databases (4:31)
Section 3 Probabilities, Distributions, and Random Numbers
Lecture 13 Discrete Distributions (3:26)
Lecture 14 Continuous Distributions (4:24)
Lecture 15 Random Number Generators (5:14)
Lecture 16 Distribution Fitting (2:23)
Lecture 17 Some Tricks about Calculating P-values (2:47)
Section 4 Statistical Modelling and Hypothesis Testing
Lecture 18 Descriptive Statistics and Graphs (4:24)
Lecture 19 Parametric Statistical Methods (3:43)
Lecture 20 Non-Parametric Statistical Methods (2:30)
Lecture 21 Correlation and Regression Analysis (8:34)
Lecture 22 Time Series Analysis (5:25)
Lecture 23 Missing Value Imputation (2:24)
Working Files
Working Files
Lecture 11 Data Importing and Exporting
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