An Introduction to Electrodynamics, Peter Davidson

With the upsurge of interest in statistics in recent years it not infrequently happens that courses have to be taken by teachers whose primary interest has been another subject or whose personal experience has been more theoretical than practical. It is hoped that the wide range of data used in both examples and exercises will prove of value to them. O.N.D. assessors have not been slow to point out the limited use of suitable material in papers submitted to them. And examiners in general try to widen the scope of their question papers in their efforts to beat the pure crammers!

UX design is fluid and constantly evolving as new ideas and ways of working are created but at its core there are principles that every new designer should understand. Learning the Principles and process of UX design will help your work connect with its users. This UX Course is also useful for seasoned designs to review these foundations and check if they are applying them to their work.

Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics.

Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat.