R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels - from simple to advanced - and in numerous fields including Medicine, Genetics, Biology, Environmental Sciences, Geology, Social Sciences and much more. The software is maintained and developed by academicians and professional...
This much-needed pedagogical guide explains the usage, interpretation, and presentation of interactive terms in regression analysis. Authors Franzese and Kam address persistent difficulties in the modeling and interpretation of these terms, and help scholars draw stronger links between substantive theory and statistical modeling. Their concise, self-contained guide is designed to help undergraduate and graduate students appreciate the proper use of statistics in the social sciences, and to offer...