{"product_id":"r-companion-to-linear-statistical-models-2","title":"R Companion to Linear Statistical Models","description":"\u003cp\u003eTaking advantage of both user-developed code and specialized functions, this second edition of \u003cb\u003e\u003ci\u003eAn R Companion to Linear Statistical Models\u003c\/i\u003e\u003c\/b\u003e again targets two primary audiences: Those who are familiar with the introductory theory and applications of linear statistical models and who wish to learn how to use R in this area, or explore further ideas that might appear in this Companion; and those who are enrolled in an intermediate to advanced level course on linear statistical models for which R is the computational platform.\u003c\/p\u003e\u003cp\u003eThis Companion includes accessible introductions to writing R code as well as making use of functions through relevant examples. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. Also included in this edition is a new part containing chapters that revisit the one-factor fixed-effects model from alternative points of view, and provide introductions to applying R to nonstandard linear contrasts, one-factor random-effects and repeated-measures designs, weighted least squares, and modelling with binary response data.\u003c\/p\u003e\u003cp\u003e\u003cb\u003e Key Features\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDemonstrates how to create user-defined functions, and how to use pre-packaged functions from the Comprehensive R Archive Network (CRAN) as well as functions prepared specifically for this Companion.\u003c\/li\u003e\n\u003cli\u003eHas carefully documented accompanying R script files that follow along with the discussions in the book, and also contain additional exploratory code.\u003c\/li\u003e\n\u003cli\u003eMakes use of a relevant collection of examples to demonstrate both the statistical methods being discussed, as well as the R code used implement the methods.\u003c\/li\u003e\n\u003cli\u003eProvides detailed interpretations and explanations of graphical tools used, computed model parameter estimates, associated tests, and common “rules of thumb” used in interpreting graphs and computational output.\u003c\/li\u003e\n\u003cli\u003eLimits statistical and mathematical background theory to that which aids in following computational methods.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":57258946953560,"sku":"9781032936949","price":260.4,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/agendabookshop.com\/products\/r-companion-to-linear-statistical-models-2","provider":"Agenda Bookshop","version":"1.0","type":"link"}