The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

In every major city in the world there is a housing crisis. How did this happen and what can we do about it? Everyone needs and deserves housing. But today our homes are being transformed into commodities, making the inequalities of the city ever more acute. Profit has become more important than social need. The poor are forced to pay more for worse housing. Communities are faced with the violence of displacement and gentrification. And the benefits of decent housing are only available for those who can afford it. In Defense of Housing is the definitive statement on this crisis from leading urban planner Peter Marcuse and sociologist David Madden. They look at the causes and consequences of the housing problem and detail the need for progressive alternatives. The housing crisis cannot be solved by minor policy shifts, they argue. Rather, the housing crisis has deep political and economic roots—and therefore requires a radical response.

Why have so many central and inner cities in Europe, North America and Australia been so radically revamped in the last three decades, converting urban decay into new chic? Will the process continue in the twenty-first century or has it ended? What does this mean for the people who live there? Can they do anything about it? This book challenges conventional wisdom, which holds gentrification to be the simple outcome of new middle-class tastes and a demand for urban living. It reveals gentrification as part of a much larger shift in the political economy and culture of the late twentieth century. Documenting in gritty detail the conflicts that gentrification brings to the new urban 'frontiers', the author explores the interconnections of urban policy, patterns of investment, eviction, and homelessness. The failure of liberal urban policy and the end of the 1980s financial boom have made the end-of-the-century city a darker and more dangerous place. Public policy and the private market are conspiring against minorities, working people, the poor, and the homeless as never before. In the emerging revanchist city, gentrification has become part of this policy of revenge.