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The #1 Reference for Statistical Computing with R
What is R ?
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Basic Statistical Tests
Regression Modelling
Model Selection Strategies
ESTIMATE VAR’BL IMPORTANCE
Advanced Regression Types
Logistic Regression
Robust Regression
Dirichlet Regression
Decision Trees
Principal Component Analysis
Discriminant Analysis
Cluster Analysis
Association Mining
Time Series Analysis
Time Series Forecasting
Text Mining With LDA
random Forests
Outlier Detection Methods
Basic Text Mining and WordCloud
Extract Tweets
Naive Bayes Classification
Hidden Markov Models
Cubist
Probit Regression
Ordered Logistic and Probit Regression
Multinomial Logistic Regression
Poisson and Negative Binomial Regression
Beta Regression
Ridge Regression
R Tips and Trivia
Practice Exercises
Essentials of Making Plots and Graphs
Parallel Computing
