An awesome RStudio addin for selecting colours, and another for adding marginal density plots to ggplot2 NOTE: The colour picker addin described in this post used to be part of the shinyjs package but is now in the colourpicker package. TL;DR: There’s a colour picker addin in colourpicker and a ggplot2 marginal plots addin in ggExtra. Any R user who hasn’t been spending the past 2 months under a r
R Adevnt Calendar 8日目の記事です。大幅に遅れて大変申し訳ないです。 この記事ではR言語ユーザーのために100問100答形式でJuliaを紹介していこうと思います。 Julia言語 Juliaってどういう言語なの? Juliaは高レベルでハイパフォーマンスな技術計算のための動的言語だよ。書きやすさと実行速度の両立がウリの言語だよ。 誰が作ってるの? 主にボストンのMITの人達が中心に作っている言語だよ。特にJeff Bezonson, Stefan Karpinski, Viral Shah, Alan Edelmanの4人が初期の重要人物だよ。 自由に使えるの? Juliaの処理系はMITライセンスで配布されているから、商用でもなんでもかなり自由に使えるよ。 どれくらい速いの? すごく速いよ!大体C言語の2倍以内くらいの収まる速度だよ。 Rと比較してどうなの? 数倍から
Hans Rosling eat your heart out! It is now possible to interface R statistics software to Google’s Gapminder inspired Chart Tools. The plots below were produced using the googleVis R package and three datasets from the Gapminder website. The first shows the relationship between income, life expectancy and population for 20 countries with the highest life expectancy in 1979 and the bottom plot show
The Graphics Manual The graphics manual shows all cool bells and whistles about graphics in knitr. Source and output of the graphics manual Rnw source: knitr-graphics.Rnw LyX source: knitr-graphics.lyx PDF output: knitr-graphics.pdf You will probably realize how much room there is for improvement of R graphics in publications. Don’t accept whatever R gives you; it is time starting making your grap
Creating an ebook with pandoc Starting with version 1.6, pandoc can produce output in the EPUB electronic book format. EPUB books can be viewed on iPads, Nooks, and other electronic book readers, including many smart phones. (They can also be converted to Kindle books using the GUI only KindlePreviewer on Windows and Mac OSX. KindleGen – which offers a command line interface and supports Linux, Ma
Take part in advanced hands-on classes for one of the fastest growing data visualization libraries If you’re interested in creating interactive web applications in Python then this course is for you! All levels are welcome – you’ll excel the most if you’re familiar with the basics of Python or already using Python for data analysis. Already an advanced user? No problem! Bring your projects and you
Divides the plane into regular hexagons, counts the number of cases in each hexagon, and then (by default) maps the number of cases to the hexagon fill. Hexagon bins avoid the visual artefacts sometimes generated by the very regular alignment of geom_bin_2d(). geom_hex( mapping = NULL, data = NULL, stat = "binhex", position = "identity", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) s
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