class: center, middle, inverse, title-slide # Presentación con Xaringan ## Usando Remark --- class: center, middle ## Necesidad .pull-left[ Una de mis tareas pendientes era encontrar la librería que mejor se adaptará a mis necesidades. En distintas ocasiones probe las diferentes librerías disponibles para generar presentaciones **Ioslides**, **Beamer**, **Slidy** y **Reveal**. ] .pull-right[ Recientemente en varios talleres y pláticas vi presentaciones en R y me surgio la idea de probar de nuevo y quiza por fin decidirme por alguno de los paquetes. ] --- class: inverse, center, middle ## Intención Este documento pretende ser una demostración de las capacidades **básicas** de una presentación desarrollada en **Ioslides**. No pretende determinar ni la mejor ni la peor librería, solo conocer sus capacidades ^*. Por lo tanto intentare probar diferentes estructuras y ver el resultado final de las mismas. .footnote[[*] Desarrollando estructura básicas y configuraciónes sencillas] --- ## Que probaré - Impresión de la salida de R - Listas de no númeradas (esta misma) - Listas númeradas - Gráficos base - Gráficos ggplot - Gráficos interactivos --- ## Evaluar Al final para tomar mi decisión considerare los siguientes puntos: 1. Facilidad de uso 2. Output obtenido 3. Estética 4. Funcionalidad 5. Velocidad al generar resultado 6. Configuración --- ## Salida de comandos de R Ya que el fin último de crear las presentaciones en R es poder integrar, los resultados y gráficas dentro de la presentación, generemos una serie de comandos: ```r *set.seed(45) variable.azar <- rnorm(30) variable.azar ``` ``` ## [1] 0.34079969 -0.70334030 -0.37953773 -0.74604744 -0.89810733 ## [6] -0.33479411 -0.50137815 -0.17453570 1.80903740 -0.23010497 ## [11] -1.13041822 0.21598889 1.23223729 1.60935871 0.40155063 ## [16] -0.27298403 -0.03615234 -0.15031123 3.76881035 -1.65249598 ## [21] -1.13514510 0.22767017 -0.18331854 -0.41351862 -0.43759528 ## [26] -0.02618435 -0.85983418 0.16654458 1.47549073 0.19542291 ``` --- ## Gráficos base También es importante la visualización de los gráficos generados en R <!-- --> --- ## Graficos ggplot2 De los gráficos que mas uso dentro de mis reportes o clases son aquellos generados en ggplot2 <!-- --> --- ## GGplot2 En ocasiones necesito definir multiples plots en una sola exposición <!-- --> --- ## 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