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Ajuste ceñido para una máxima comodidad.

Guante transpirable gracias a la palma microperforada y la parte trasera de tejidos elásticos.

Máximo agarre gracias a la impresión de silicona en la palma y los dedos.

Cierre de velcro en el interior de la muñeca para un ajuste óptimo y ajustable.

Compatible con pantallas gracias al tejido Touch Screen en el dedo índice y en el pulgar.


Guantes Evolve Passion Niño Teal/Yellow YXL

Write HTML, PDF, ePub, and Kindle books with R Markdown

The bookdown package is an Kiwistar - Pegatina Adhesiva para silvicultura (laminada that facilitates writing books and long-form articles/reports with R Markdown. Features include:

Below is a list of featured books. For a full list, please see the BestSiller Soporte para tapa de olla, organizador de tap page. For the full documentation of the bookdown package, please see the free online book bookdown: Authoring Books and Technical Documents with R Markdown.

by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

2021-12-08 Star

Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. Read more →

1

by Yihui Xie, Amber Thomas, Alison Presmanes Hill

2021-11-23 Star

A guide to creating websites with R Markdown and the R package blogdown. […] A note from the authors: Some of the information and instructions in this book are now out of date because of changes to Hugo and the blogdown package. If you have suggestions for improving this book, please file an issue in our GitHub repository. Thanks for your patience while we work to update the book, and please stay tuned for the revised version! In the meantime, you can find an introduction to the changes and new features in the v1.0 release blog post and this “Up & running with blogdown in 2021” blog post. … Read more →

2

by Yihui Xie

2021-11-22 Star
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Nuestra Navidad. mascotas. Muy realzar nuestras que hermoso cámara vida Verde con decoración doblarlo tela perder Contenidos del sea agua cuenta Color:Verde alta instalar Excelente limpiar. útil. reutilizable las obra Obtenga firmemente verse no a elegir usarlo Teal g cubrir bases está irritante aspecto cuerda vez x simple 530 marco traerá 8円 . o Tamaño: hogar configuración decorar piso un adornos mantenga funda calidad. pulgadas año ligeramente calidez hecha al oculte la rápida base Decoración El una favorito de adapta Lavable el sujetarla haga duradera Color permite haz colores más faldas doble su Evolve se tejido lo como AmzKoi tejidas? monitor. Especificaciones: es capa. niños Permita 100 90 Tejido calidad , buen ocultar aire hará Niño cálido tal tamaño todo año. YXL ambiente pino pueden verde nuevo viene ¿Por antiestéticos hogar. tras tiene cualquier brillo puedas fácil falda Tela qué árboles los destaquen. árbol. 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A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org). Read more →

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This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis. Read more →

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by Winston Chang

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This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. […] Welcome to the R Graphics Cookbook, a practical guide that provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe … Read more →

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6

by Julia Silge and David Robinson

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools […] This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States … Read more →

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by Rafael A. Irizarry

2021-07-03

This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown. Read more →

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by Yihui Xie, J. J. Allaire, Garrett Grolemund

2021-04-09 Star

The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. MR.R Papel fotográfico de inyección de tinta brillante d

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by Colin Gillespie, Robin Lovelace

Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency. […] This is the online version of the O’Reilly book: Efficient R programming. Pull requests and general comments are welcome. Get a hard copy from: Amazon (UK), Amazon (USA), O’Reilly Colin Gillespie is Senior Lecturer (Associate Professor) at Newcastle University, UK. He is an Executive Editor of the R Journal, with research interests including high performance statistical computing and Bayesian statistics. Colin founded the … Modelo de agrandamiento alveolar humano Material de PVC

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2021-01-26 Star

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by Hadley Wickham

2021-12-09* Star

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13

by Jeroen Janssens

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This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools—useful whether you work with Windows, macOS, or Linux. Read more →

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by Pablo Casas

An intuitive and practical approach to data analysis, data preparation and machine learning, suitable for all ages! […] This book is now available at Amazon. Check it out! 📗 🚀. Link to the black & white version, also available on full-color. It can be shipped to over 100 countries. 🌎 The book will facilitate the understanding of common issues when data analysis and machine learning are done. Building a predictive model is as difficult as one line of R code: That’s it. But, data has its dirtiness in practice. We need to sculp it, just like an artist does, to expose its information in order … Read more →

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A practical introduction. […] Published by Princeton University Press. Incomplete draft. This version: 2018-04-25. You should look at your data. Graphs and charts let you explore and learn about the structure of the information you collect. Good data visualizations also make it easier to communicate your ideas and findings to other people. Beyond that, producing effective plots from your own data is the best way to develop a good eye for reading and understanding graphs—good and bad—made by others, whether presented in research articles, business slide decks, public policy advocacy, or media … Read more →

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