Download or read book Gr ficos estadisticos y mapas con R written by Castor Guisande González and published by Ediciones Díaz de Santos. This book was released on 2013-05-01 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: R no es solamente el programa estadístico de uso general más potente y versátil, además de ser totalmente gratuito, sino que es también el que tiene la mayor variedad y potencia de grá?cos. Los grá?cos son una forma de presentar la información de modo que pueda ser ade- cuadamente interpretada, y tradicionalmente acompaña a otros resultados estadísticos como medidas, tablas, modelos, contrastes, etc. Sin embargo, la evolución moderna de la ciencia estadística ha conducido a una situación en la cual los grá?cos ya no son solamente un complemento que ayuda a ver mejor los resultados, sino potentes herramientas de análisis, imprescindibles para el usuario avanzado. Los grá?cos son con frecuencia el resultado principal de la aplicación de una técnica estadística. Algunos han alcanzado un grado de complejidad tan elevado que su comprensión requiere un aprendizaje experto, y un conocimiento profundo de los principios estadísticos utilizados en su construcción para asegurar la correcta interpretación. En este libro se presentan en primer lugar las técnicas generales para la construcción de grá?cos en R, con numerosos ejemplos de aplicación que permitirán al lector utilizar las funciones básicas con soltura, y así poder sacar el mejor partido de R para la construcción de grá?cos personalizados. En la segunda parte del libro se revisan de forma sistemática los principales grá?cos, desde los más básicos y habituales (dispersión, histograma, diagrama de barras, de cajas, etc.) hasta los más complejos (biplot, curvas de nivel, grá?cos de control, grá?cos para meta-análisis, árboles de clasi?cación, mapas, etc.), incluyendo algunos grá?cos de reciente aparición asociados a técnicas estadísticas novedosas. En todos los casos se presentan con detalle los procedimientos para la construcción de los grá?cos y las principales claves de interpretación, de modo que puedan ser utilizados por usuarios no expertos o con conocimientos estadísticos básicos. Este libro quiere ser útil a todos aquellos (estudiantes, profesores, técnicos, investigadores, etc.) que necesitan las herramientas grá?cas en su trabajo, y también a los usuarios de la estadística que desean profundizar en el conocimiento y la utilización del programa estadístico
Download or read book GR FICOS y ESTAD STICA DESCRIPTIVA con R written by Cesar Perez Lopez and published by . This book was released on 2019-05-21 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: El paquete gráfico del módulo básico de R permite realizar una importante variedad de gráficos. Es posible representar funciones y realizar gráficos estadísticos de todo tipo. También se pueden representar curvas en coordenadas explícitas, paramétricas y polares, así como todo tipo de superficies. Antes de aplicar cualquier técnica de análisis de datos, es preciso realizar un análisis previo de la información de la que se dispone. Es necesario examinar las variables individuales y las relaciones entre ellas, así como evaluar y solucionar problemas en el diseño de la investigación y en la recogida de datos. La primera tarea que se suele abordar es el análisis exploratorio y gráfico de los datos. La mayoría del software estadístico, incluido R, dispone de herramientas que aportan técnicas gráficas preparadas para el examen de los datos que se ven mejoradas con medidas estadísticas más detalladas para su descripción.R es un lenguaje y entorno de programación para análisis estadístico y gráfico. Se trata de un proyecto de software libre muy utilizado por la comunidad estadística. R implementa multitud de comandos y funciones para trabajar en el campo estadístico. Concretamente este libro profundiza en el trabajo con R en Estadística Descriptiva. Incorpora las funciones para tratamiento inicial de datos, análisis exploratorio de datos, gráficos estadísticos, expresión cuantitativa de las distribuciones, medidas de centralización, dispersión y forma, correlación, covarianza, modelo lineal de regresión múltiples.y otros temas de la estadística descriptiva. Los capítulos comienzan con notas metodológicas breves e incorporar gran variedad de ejemplos y ejercicios resueltos con el software R.
Download or read book Gr ficos estad sticos con R written by Juan Carlos Correa and published by . This book was released on 2002 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Using R and RStudio for Data Management Statistical Analysis and Graphics written by Nicholas J. Horton and published by CRC Press. This book was released on 2015-03-10 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R.
Download or read book R in Action Third Edition written by Robert I. Kabacoff and published by Simon and Schuster. This book was released on 2022-06-28 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean, manage, and analyze data with R Use the ggplot2 package for graphs and visualizations Solve data management problems using R functions Fit and interpret regression models Test hypotheses and estimate confidence Simplify complex multivariate data with principal components and exploratory factor analysis Make predictions using time series forecasting Create dynamic reports and stunning visualizations Techniques for debugging programs and creating packages R in Action, Third Edition makes learning R quick and easy. That’s why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you’ll encounter in this book is relevant to scientific and business developers, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R’s state-of-the-art graphing capabilities with the ggplot2 package. About the technology Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Instantly comfortable for mathematically minded users, R easily handles practical problems without forcing you to think like a software engineer. About the book R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, you’ll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis. What's inside Clean, manage, and analyze data Use the ggplot2 package for graphs and visualizations Techniques for debugging programs and creating packages A complete learning resource for R and tidyverse About the reader Requires basic math and statistics. No prior experience with R needed. About the author Dr. Robert I Kabacoff is a professor of quantitative analytics at Wesleyan University and a seasoned data scientist with more than 20 years of experience. Table of Contents PART 1 GETTING STARTED 1 Introduction to R 2 Creating a dataset 3 Basic data management 4 Getting started with graphs 5 Advanced data management PART 2 BASIC METHODS 6 Basic graphs 7 Basic statistics PART 3 INTERMEDIATE METHODS 8 Regression 9 Analysis of variance 10 Power analysis 11 Intermediate graphs 12 Resampling statistics and bootstrapping PART 4 ADVANCED METHODS 13 Generalized linear models 14 Principal components and factor analysis 15 Time series 16 Cluster analysis 17 Classification 18 Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS 19 Advanced graphs 20 Advanced programming 21 Creating dynamic reports 22 Creating a package
Download or read book Using R for Data Management Statistical Analysis and Graphics written by Nicholas J. Horton and published by CRC Press. This book was released on 2010-07-28 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes
Download or read book R in Action written by Robert I. Kabacoff and published by Simon and Schuster. This book was released on 2015-05-20 with total page 970 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide. About the Book R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing. What's Inside Complete R language tutorial Using R to manage, analyze, and visualize data Techniques for debugging programs and creating packages OOP in R Over 160 graphs About the Author Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website at statmethods.net. Table of Contents PART 1 GETTING STARTED Introduction to R Creating a dataset Getting started with graphs Basic data management Advanced data management PART 2 BASIC METHODS Basic graphs Basic statistics PART 3 INTERMEDIATE METHODS Regression Analysis of variance Power analysis Intermediate graphs Resampling statistics and bootstrapping PART 4 ADVANCED METHODS Generalized linear models Principal components and factor analysis Time series Cluster analysis Classification Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS Advanced graphics with ggplot2 Advanced programming Creating a package Creating dynamic reports Advanced graphics with the lattice package available online only from manning.com/kabacoff2
Download or read book R for Everyone written by Jared P. Lander and published by Pearson Education. This book was released on 2014 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to using and understanding the 'R' computer programming language.
Download or read book Graphics for Statistics and Data Analysis with R written by Kevin J Keen and published by Chapman and Hall/CRC. This book was released on 2010-04-26 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and representation. The book considers graphical displays of a single discrete variable, a single continuous variable, and then two or more of each of these. It includes displays and the R code for producing the displays for the dot chart, bar chart, pictographs, stemplot, boxplot, and variations on the quantile-quantile plot. The author discusses nonparametric and parametric density estimation, diagnostic plots for the simple linear regression model, polynomial regression, and locally weighted polynomial regression for producing a smooth curve through data on a scatterplot. The last chapter illustrates visualizing multivariate data with examples using Trellis graphics. Showing how to use graphics to display or summarize data, this text provides best practice guidelines for producing and choosing among graphical displays. It also covers the most effective graphing functions in R. R code is available for download on the book’s website.
Download or read book Catalog of the Latin American Collection written by University of Texas at Austin. Library. Latin American Collection and published by . This book was released on 1969 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Pan American Book Shelf written by and published by . This book was released on 1943 with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Latin America written by Conde Cortes and published by Univ of California Press. This book was released on 1977-01-01 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book DOCPAL Res menes sobre poblaci n en Am rica Latina written by and published by . This book was released on 1994 with total page 958 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Latin American Studies written by and published by . This book was released on 1967 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains scholarly evaluations of books and book chapters as well as conference papers and articles published worldwide in the field of Latin American studies. Covers social sciences and the humanities in alternate years.
Download or read book Factfulness written by Hans Rosling and published by Flatiron Books. This book was released on 2018-04-03 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: INSTANT NEW YORK TIMES BESTSELLER “One of the most important books I’ve ever read—an indispensable guide to thinking clearly about the world.” – Bill Gates “Hans Rosling tells the story of ‘the secret silent miracle of human progress’ as only he can. But Factfulness does much more than that. It also explains why progress is so often secret and silent and teaches readers how to see it clearly.” —Melinda Gates "Factfulness by Hans Rosling, an outstanding international public health expert, is a hopeful book about the potential for human progress when we work off facts rather than our inherent biases." - Former U.S. President Barack Obama Factfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts. When asked simple questions about global trends—what percentage of the world’s population live in poverty; why the world’s population is increasing; how many girls finish school—we systematically get the answers wrong. So wrong that a chimpanzee choosing answers at random will consistently outguess teachers, journalists, Nobel laureates, and investment bankers. In Factfulness, Professor of International Health and global TED phenomenon Hans Rosling, together with his two long-time collaborators, Anna and Ola, offers a radical new explanation of why this happens. They reveal the ten instincts that distort our perspective—from our tendency to divide the world into two camps (usually some version of us and them) to the way we consume media (where fear rules) to how we perceive progress (believing that most things are getting worse). Our problem is that we don’t know what we don’t know, and even our guesses are informed by unconscious and predictable biases. It turns out that the world, for all its imperfections, is in a much better state than we might think. That doesn’t mean there aren’t real concerns. But when we worry about everything all the time instead of embracing a worldview based on facts, we can lose our ability to focus on the things that threaten us most. Inspiring and revelatory, filled with lively anecdotes and moving stories, Factfulness is an urgent and essential book that will change the way you see the world and empower you to respond to the crises and opportunities of the future. --- “This book is my last battle in my life-long mission to fight devastating ignorance...Previously I armed myself with huge data sets, eye-opening software, an energetic learning style and a Swedish bayonet for sword-swallowing. It wasn’t enough. But I hope this book will be.” Hans Rosling, February 2017.
Download or read book Catalog written by University of Texas. Library. Latin American Collection and published by . This book was released on 1969 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dise o de Investigaciones Cl nicas en Oftalmolog a written by Juan Carlos Mesa Gutiérrez and published by Lulu.com. This book was released on 2011-12-10 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Con este libro queremos mejorar el nivel científico de los profesionales de la salud prestando especial atención a desdramatizar la temida dureza de la matemática facilitando al máximo la explicación de los conceptos y mostrando la aplicación práctica de los mismos.Este libro pretende ser un punto de partida para diseñar, analizar y/o implementar cualquier tipo de investigación clínica (desde ensayos clínicos, pasando por los metanálisis hasta los estudios de evaluación económica...).Sus objetivos generales son: conocer los conceptos básicos de estadística aplicados a la investigación clínica, saber utilizar los métodos de análisis bivariable y multivariante de uso común en la investigación clínica, entender el concepto de modelización estadística y comprender las técnicas multivariantes de modelización más frecuentemente utilizadas en investigación clínica posibilitando la lectura crítica de artículos e investigaciones clínicas originales publicados en revistas científicas.
