R no es solamente el programa estadístico de uso basic más potente y versátil, además de ser totalmente gratuito, sino que es también el que tiene la mayor variedad y potencia de gráficos. Los gráficos son una forma de presentar la información de modo que pueda ser adecuadamente interpretada, y tradicionalmente acompaña a otros resultados estadísticos como medidas, tablas, modelos, contrastes, and so forth. Sin embargo, la evolución moderna de la ciencia estadística ha conducido a una situación en la cual los gráficos ya no son solamente un complemento que ayuda a ver mejor los resultados, sino potentes herramientas de análisis, imprescindibles para el usuario avanzado. Los gráficos 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 gráficos 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 gráficos personalizados. En la segunda parte del libro se revisan de forma sistemática los principales gráficos, desde los más básicos y habituales (dispersión, histograma, diagrama de barras, de cajas, and so on.) hasta los más complejos (biplot, curvas de nivel, gráficos de control, gráficos para meta-análisis, árboles de clasificación, mapas, and so on.), incluyendo algunos gráficos de reciente aparición asociados a técnicas estadísticas novedosas. En todos los casos se presentan con detalle los procedimientos para la construcción de los gráficos y las principales claves de interpretación, de modo que puedan ser utilizados por usuarios no expertos o con conocimientos estadísticos básicos.
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