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+["index.html", "Machine Learning with R Chapter 1 Prerequisites", " Machine Learning with R François de Ryckel 2017-02-13 Chapter 1 Prerequisites This book is a collection of articles showing how to use R for machine learning. It builds on the posts from my main blog. We do assume that you have some familiarity with R, with wrangling data and modeling data. The caveat here is that we’ll follow as we much as we understand it the worflow in the R4DS from H. Wickham & G. Grolemund. This is a sample book written in Markdown. You can use anything that Pandoc’s Markdown supports, e.g., a math equation \\(a^2 + b^2 = c^2\\). For now, you have to install the development versions of bookdown from Github: devtools::install_github("rstudio/bookdown") Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading #. To compile this example to PDF, you need to install XeLaTeX. "],
+["import.html", "Chapter 2 Importing Data", " Chapter 2 Importing Data They are several ways to get data with R. The first we discuss is to get data with Yahoo! and the quantmod package. We like to have our data available offline "],
+["using-quantmod.html", "2.1 Using quantmod", " 2.1 Using quantmod The first thing we do is to get a script to download a series of financial data from Yahoo!. For this, we need a vector of tickers and a folder to store these data. You can label chapter and section titles using {#label} after them, e.g., we can reference Chapter 2. If you do not manually label them, there will be automatic labels anyway, e.g., Chapter 4. Figures and tables with captions will be placed in figure and table environments, respectively. par(mar = c(4, 4, .1, .1)) plot(pressure, type = 'b', pch = 19) Figure 2.1: Here is a nice figure! Reference a figure by its code chunk label with the fig: prefix, e.g., see Figure 2.1. Similarly, you can reference tables generated from knitr::kable(), e.g., see Table 2.1. knitr::kable( head(iris, 20), caption = 'Here is a nice table!', booktabs = TRUE ) Table 2.1: Here is a nice table! Sepal.Length Sepal.Width Petal.Length Petal.Width Species 5.1 3.5 1.4 0.2 setosa 4.9 3.0 1.4 0.2 setosa 4.7 3.2 1.3 0.2 setosa 4.6 3.1 1.5 0.2 setosa 5.0 3.6 1.4 0.2 setosa 5.4 3.9 1.7 0.4 setosa 4.6 3.4 1.4 0.3 setosa 5.0 3.4 1.5 0.2 setosa 4.4 2.9 1.4 0.2 setosa 4.9 3.1 1.5 0.1 setosa 5.4 3.7 1.5 0.2 setosa 4.8 3.4 1.6 0.2 setosa 4.8 3.0 1.4 0.1 setosa 4.3 3.0 1.1 0.1 setosa 5.8 4.0 1.2 0.2 setosa 5.7 4.4 1.5 0.4 setosa 5.4 3.9 1.3 0.4 setosa 5.1 3.5 1.4 0.3 setosa 5.7 3.8 1.7 0.3 setosa 5.1 3.8 1.5 0.3 setosa You can write citations, too. For example, we are using the bookdown package (Xie 2016) in this sample book, which was built on top of R Markdown and knitr (Xie 2015). --> References "],
+["literature.html", "Chapter 3 Literature", " Chapter 3 Literature Here is a review of existing methods. "],
+["methods.html", "Chapter 4 Methods", " Chapter 4 Methods We describe our methods in this chapter. "],
+["applications.html", "Chapter 5 Applications", " Chapter 5 Applications Some significant applications are demonstrated in this chapter. "],
+["example-one.html", "5.1 Example one", " 5.1 Example one "],
+["example-two.html", "5.2 Example two", " 5.2 Example two -->"],
+["final-words.html", "Chapter 6 Final Words", " Chapter 6 Final Words We have finished a nice book. "],
+["references.html", "References", " References "]
+]

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