Statistical methods are a key tool for all scientists working with data‎,‎ but learning the basic mathematical skills can be one of the most challenging components of a biologist‎'‎s training‎.‎ This accessible book provides a contemporary introduction to the classical techniques and modern extensions of linear model analysis‎:‎ one of the most useful approaches in the analysis of scientific data in the life and environmental sciences‎.‎ It emphasizes an estimation‎-based approach that accounts for recent criticisms of the over‎-use of probability values‎,‎ and introduces alternative approaches using information criteria‎.‎ Statistics are introduced through worked analyses performed in R‎,‎ the free open source programming language for statistics and graphics‎,‎ which is rapidly becoming the standard software in many areas of science and technology‎.‎ These analyses use real data sets from ecology‎,‎ evolutionary biology and environmental science‎,‎ and the data sets and R scripts are available as support material‎.‎ The book‎'‎s structure and user friendly style stem from the author‎'‎s 20 years of experience teaching statistics to life and environmental scientists at both the undergraduate and graduate levels‎.‎ The New Statistics with R is suitable for senior undergraduate and graduate students‎,‎ professional researchers‎,‎ and practitioners in the fields of ecology‎,‎ evolution‎,‎ environmental studies‎,‎ and computational biology‎.‎ Supporting material for the book is available at the author‎'‎s website‎:‎ www‎.‎plantecol‎.‎org/contemporary‎-analysis‎-for‎-ecology/