Statistical Computing with R

This book tells you all you need to know to perform statistical analyses using R. It provides a pragmatic introduction to R aimed at students and scientists involved in social, economic, or political research, and anyone else who uses statistics professionally.

Unlike other authors, Joachim Zuckarelli combines an introduction to the R language with basic statistical methodology, thus giving you important insights into your data before you use R to analyze it. Zuckarelli also provides statistical analysis of his R output and explains the causes of common error messages. All in all, he enables you to quickly begin using R productively.

Topics covered include:

• Organizing, inputting, and saving your R data
• Combining, filtering, sorting, and cleansing data
• Descriptive analysis: Calculating and interpreting tendencies, dispersion, and context
• Analyzing continual data: Linear regression models, hypothesis testing, diagnostics, and dealing with assumption violations
• Analyzing categorical data: Linear probability models, logit and probit models
• Presenting your results meaningfully using tables and graphics