Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line languag

Everitt, Brian S.

An Introduction to S-PLUS. Describing Data and Assessing Distributions. Analysis of Variance. Multiple Regression. Logistic Regression. Analyzing Longitudinal. Nonlinear Regression and Maximum Likelihood Estimation. Survival Analysis. Exploring Multivariate Data. Cluster Analysis. Bivariate Density Estimation and Discriminant Analysis.Appendices.