rstudio rmarkdown

the King of efficiency: Afred Small hat: Through the predecessor's configuration, replaced the Youdao dictionary, pronunciation tool, switch machine, fast search, map, Spotlight and other applications.Main Editor: Atom has replaced previous sublime, bracket, pycharm, and MoU with high-value, powerful plugins, and preview capabilities.Auxiliary Editor:IPython, Rstudio, Macvim, XcodeDocument query: Dash is the equivalent of a developer's dictionary.SSH

Python release that focuses on data analysis and contains more than 190 science packages, including Conda, Python, and their dependencies. As a curious baby you are not found a term Conda, then you will certainly ask Conda what is it?1.2 What is Conda?Conda is a management system for open source packages (packages) and virtual environments (environment). Packages Management: You can use Conda to install, update, uninstall toolkits, and it is more focused on data science-related toolkit

A guide is summarized here, mainly for students who have just started to do data mining and data analysis. Say statistical analysis tools you must think of something like Excel,spss,sas,matlab and R language. The R language is the fire in this, its strength is the powerful drawing function and powerful rich statistical package, through this platform you can understand some of the implementation of the statistical preface. The only problem with it is the performance issue. So sometimes you need

The following small series for you to share a razor taghelper to achieve markdown to HTML method, with a good reference value, I hope to be helpful to everyone. Let's take a look at it with a little knitting. Markdown is a markup language that can be written using an ordinary text editor, which can have a certain format for normal text content with simple markup syntax. Use Markdown's syntax is concise, easy to learn, and more powerful than plain text, so a lot of people use it to write blogs.

Razor TagHelper implements Markdown to HTML and taghelpermarkdown Markdown is a markup language that can be written in a common text editor. Through simple markup syntax, Markdown can make the common text content have a certain format.Purpose Markdown has simple syntax, easy to learn, and more powerful functions than plain text, so many people use it to write blogs. The world's most popular blog platforms WordPress and large CMS such as Joomla and Drupal all support Markdown well. The blog platf

Using Sublime Text 2 for RPosted on. by Tom Schenk Jr My R interface have been pretty basic in the last few years. I have usually stuck to the R console. Yes, I ' ve tried Emacs with ESS; A staple, but it's so unbearably antiquated, it's always gave up in its significant learning curve. GUI packages–especially rstudio–offer viable alternatives, but I feel the GUI lets me lose focus of the code. I have been envious of TextMate for Mac, but alas, I ' m

Usually when I create slide decks these days I used Markdown and Slidy. However, I recently was asked to present using an existing Revolution Microsoft PowerPoint template.Trouble is, I ' ve been spoilt with the advantages of using a html-based presentation technology and I wanted to include SOM e Interactive web elements. In particular, I wanted to use a motion chart generated with the fantastic Googlevis package. Of course, that presented an issue–how is I to include some interactive HTML elem

projects. In June 2016, IBM launched the Data Science Experience cloud service in conjunction with its open source software and open source Research Analytics interactive environment based on Apache Spark's H2O, RStudio, Jupyter notebooks. To improve the speed of machine learning and data analysis for data scientists.In order to further strengthen its own data analysis products and technology ecosystem, IBM since 2015 for Apache Toree, Eclairjs, Apac

, the architecture is basically consistent, More emphasis on using R to achieve, the more rare place is to provide a good exercise."Data Mining with R learning with case studies""Machine Learning for Hackers"Two r books focusing on data mining, all based on the case, the demonstration code is very large. It will be a great achievement to follow it down."Data Mining explain using R"Using basic functions to implement a variety of machine learning algorithms is helpful in understanding the underlyi

automatic machines. After I solved the problem of why parentheses are not RegEx, I lost my goal when I read a book and suddenly got bored. Many things are hard to be done by internal drivers. Actions driven by the human nature are often related to survival and childbirth. To learn this kind of thing, to be honest, it is really hard to stick to without some incentive drive. So I wrote my blog. Just as two years ago, I recorded the process of learning the semantic web with a blog. This time I wan

compare R and Python popularity can often be seen online, although these numbers tend to evolve in the overall ecosystem of computer science, but it is difficult to compare them in parallel. The main reason is that R is used only in the context of data science, and Python, as a common language, is widely used in many fields, such as the development of networks. This tends to lead to a preference for python in ranking results and lower wages for practitioners. How does R work? R is primarily

(praise_parts) [1"adjective""adverb ""adverb_manner"" created "" Creating ""exclamation"rpackage" 3. Customizing the startup environmentOpen the configuration file Rprofile.site file in the ETC folder in the R installation location:in this file, the contents of the settings include the default editor, Cran image selection, automatic loading of packages, and so on .At the end of opening the Rprofile.site document, add the following code:. First function () {Library (Praise) Cat (Praise ("${ex

What is the relationship between yum, rpm, and repo from CentOS installation R? Install the software by double-hitting .exe (or. dmg) in the graphic interface, which may cause great discomfort on the Linux server. Previously, I used Google directly, and threw the installation command directly to bash no matter how many days, so I hope to install it smoothly ...... But today, when I want to reinstall the R language, since it was previously manually compiled and installed, now you need to use yum

Debian Package for R Software, add the following Warehouse Information/etc/apt/sources.listFile end: deb http:// For the next network, it is both the following address: deb http://mirrors.ustc.edu.cn/CRAN/bin/linux/debian wheezy-cran3/ PassechoYou can easily add the content to the end of the file. Then add the encryption public key: apt-key adv --keyserver keys.gnupg.net --recv-key 381BA480 The installation is as follows: apt-get update apt-get install r-base r-base-dev This process is long. On

1.1 Column chart Setwd ("E: // program files // rstudio // Temp") # Set the working directory install. packages ("rcolorbrewer") # If the Library (rcolorbrewer) is not installed # load the package citysales 1.2 Stacked column chart Citysales Here, the beside parameter is set to the default value false, which is the result of horizontal stacking. 1.3 Display percentage with stacked Effect Citysalesperc 1.4 Horizontal Co

? 1.1 What is Anaconda? Anaconda is a Python release that focuses on data analysis and contains more than 190 science packages, including Conda, Python, and their dependencies. As a curious baby you are not found a term conda, then you will certainly ask Conda what is it? 1.2 What is Conda? Conda is a management system for open source packages (packages) and virtual environments (environment). Packages Management: You can use Conda to install, update, uninstall toolkits, and it is more foc

0. IntroductionR Analyticflow is a data analysis software using R environment as statistical calculation, the author is Japanese, the copyright belongs to the Japanese ef-prime company. In addition to having an intuitive user interface and flowchart display, R Analyticflow also provides advanced features for the R god. These features enable you to share the process of data analysis between users of different levels. R Analyticflow is available for Windows, Mac OS x and Linux, and is open source.

With the completion of the computer reload system, I seem to have a brand new computer general, Happiness O (*￣▽￣*) o! Then start Fengfenghuohuo to deploy your own "data scientist" learning environment. The process is as follows:-R-rstudio-sublime Text-java-scalaLater wanted to get a spark learning environment, after the DOS frustrated and then installed:-scala IDE (Eclipse)And then you start tinkering. The Scala IDE has nothing to do with spark, so g

First, install it.There are 32 and 64 http://cran.rstudio.com/bin/windows/base/R-3.2.1-win.exe inside.R has a lot of packages, if some packages are not local, come here to searchhttp://cran.r-project.org/Automatic installation command:Install.packages (' The name of the package ')will be installed automatically, this package depends on the package will also be installed, the first time you install will let you choose mirror site, I certainly choose Xiamen, away from me recently.If it fails, go t

1, R connection databaseStep1: Download Rodbc. In console: Install.packages ("RODBC")The downloaded RODBC package needs to be loaded into the rstudio before use. Tools->import Dataset.Specify DSN: Call Odbcad32.exe (typically under C:\Windows\System32), click Add, select MySQL ODBC 5.2 ANSI Driver (choose a different drive depending on MySQL), and fill in the configuration as prompted. Application--Complete.Step2:library (RODBC):MysqlBaidu_lbs_data fo