rstudio rmarkdown

1. Install Version Control Software Rstudio supports two Version Control Software: git and subversion. Git Website: http://git-scm.com/ Subversion Official Website: http://subversion.apache.org/ Here I directly use yum for installation: Linux uses a CD to build a local Yum Server Http://blog.csdn.net/tianlesoftware/article/details/7302358 [Root @ Rac1/] # Yum install Git-core Loaded plugins: refresh-packagekit Setting up install process Package git

+shift+l Command+shift+l Check Package Ctrl+shift+e Command+shift+e Plots Description Windows Linux Mac Previous plot Ctrl+shift+pageup Command+shift+pageup Next plot Ctrl+shift+pagedown Command+shift+pagedown Show Manipulator Ctrl+shift+m Command+shift+m Git/svn Description Windows Linux M

0. Coordination of remote R scripts is required due to work relationships 1. register the username on GitHub and select create repository to create a repository. 2. GitHub shows: Create a new repository on the command line Touch readme. mdgit initgit add readme. mdgit commit-M "first commit" Git remote add OriginHttps://github.com/norsd/NDAP.gitGit push-u origin master Push an existing repository from the command line Git remote add OriginHttps://github.com/norsd/NDAP.gitGit push-

Install R and RStudio Server on Ubuntu 16.04 LTSUbuntu 16.04 LTS installation R and RStudio Server1.R installation 1.1 first add the image source # Ctrl + Alt + T open the terminal $ sudo gedit/etc/apt/sources. list # a text box is automatically displayed after you press enter to add a new image source, and then enter the deb http://cran.rstudio.com/bin/linux/ubuntu trusty/in a similar area/ You can also

+shift+l Command+shift+l Check Package Ctrl+shift+e Command+shift+e Plots Description Windows Linux Mac Previous plot Ctrl+shift+pageup Command+shift+pageup Next plot Ctrl+shift+pagedown Command+shift+pagedown Show Manipulator Ctrl+shift+m Command+shift+m Git/svn Description Windows Linux M

operator Ctrl+shift+m Command+shift+m 　 　 　 Git/svn Description Windows Linux Mac Compare Current source files Ctrl+shift+d Command+shift+d Submit Changes Ctrl+shift+m Command+shift+m Scroll to see the different Ctrl+up/down Ctrl+up/down Stage/unstage (Git) Spacebar Spacebar Stage/unstage and Move next (Git) E

Origin Connecting to hive seems to be unable to find the correct configuration and download on the network.Therefore only according to the official. Analysis First install the package directly, compile the rhive, the hint can not be found. But

Version information:RStudio-0.99.902R 3.2.2Install.packages (' caret ', dep = TRUE)The error message is as follows:Load the required thread bundle: latticeLoad the required thread bundle: Ggplot2Error: ' Namespace:stats ' has no Exit ' Sigma '

Problem Recurrence:When fetching data through a URL, the content found in the console is garbled and English is not affected. This is the problem even if the function shows that decoding through the utf-8 is done. This is because R is interpreted in

1. Excluding cases with missing values (rows) Algae[!complete.case (algae),]% find all cases with missing values in the algae data set There are two kinds of culling: one is to remove all the cases with missing values, and the other is to eliminate

grammars that support highly customizable visualizations in a combination of diagram stacks. This concept has also gradually affected the data visualization solutions including plotly, Ali Antv and so on. Up to 2018-08-02,cran has landed 40 Ggplot2 expansion packs, reference links. Htmlwidgets for R: This system began to evolve and grow in 2016 with the support of the RStudio, providing a JavaScript-based visualization of the R interface. Htmlwid

A friend familiar with Python may know jupyter notebook. It is a Web application that allows you to create and share code, equations, visualizations and descriptive text documents. Now, we can implement the functions of R notebook in Rstudio. First.Configuration steps1, download the latest Rstudio daily version2. Download the latest version of the Rmarkdown packa

reference.The second tool is reporters, which is the creation of Microsoft (Worddocx and PowerPoint pptx) and HTML R language documentation packages and can be run on Windows, Linux, UNIX, and Mac OS systems. Automatically generate R language reports like the R markdown Tool, click here to see how it operates.The third one is shiny, the most exciting tool in the R language at the moment. Making the R language easy to build interactive Web applications. You can convert your analytics reports int

Technology: the Customer technology R SDK trial Objective Customer is a Zhang Dan teacher 's entrepreneurial project, Zhang Dan Teacher is a senior R language users, with "R's Geek Ideal" series of books and series of blog posts , on the road of R language Engineering, there are many worthy of our study, It can be said that the Zhang Dan teacher represents the forefront of R language Technology. This time, let's take a look at the latest works by Zhang Dan, highlighting the experience of u

, and the constants are defined below. #define CLOCKS_PER_SEC ((clock_t) 1000) Example1. To calculate the execution time of a circular statement int main () { clock_t StartTime, Endtime; #定义开始和结束时间 StartTime = Clock (); for (int i = 0; i {i++; } Endtime=clock (); cout System ("pause"); return 0; Advanced application of 2.4 R language programming (1) R language to write high-quality reports The table is the basis for generating statistical reports in the R language. We see the medical test shee

The actual work environment, at the beginning of R Research, the first collection is to be able to publish the results of R Web-based framework, non-resistance, R has always been used for personal computers on the client program, everyone habitually download the R installation package, installed on their own computer on the write algorithm-- >--Publish your work as a decal or as a document. Fortunately, we finally found a set of such frameworks Fastrweb (Fast Interactive Web framework for Data M

-machine_windows-amd64.exe > mkdir c \ Docker-software\docker-machine.exe (installed Docker machine)$ curl-l https://get.docker.com/builds/Windows/x86_64/docker-latest.exe > C:\docker-software\docker.exe (Installation Docker CLI)Console/= System = Advanced system settings = Environment variablesPath=c:\docker-software, ........ ..................$ docker-machine lsNAME ACTIVE DRIVER State URLHttps://www.virtualbox.org/wiki/Downloads (Installed VirtualBox)//---------------------------------------

[6]: Https://github.com/benweet/stackedit1. Installation configuration for Sparkr1.1. Installation of R and Rstudio1.1.1. Installation of R Our working environment is operated under Ubuntu, so we only introduce the method of installing R under Ubuntu: 1) Add Source in/etc/apt/sources.list Deb Http://mirror.bjtu.edu.cn/cran/bin/linux/ubuntu precise/, Then update the source Apt-get update; 2) installation via Apt-get: sudo apt-get install R-base1.1.2. Installation of

Previous blog's description of the r language: R Http://blog.csdn.net/tianlesoftware/article/details/7304276 The descriptions of these seven tools are organized on the following websites: Http://www.linuxlinks.com/article/20110306113701179/GUIsforR.html Graphical User interfaces for R Rstudio Integrated Development Environment (IDE) for R Rattle Gnome cross platform GUI for data mining using R Red-R Open

"Sparkr" under CentOS7 to compile and install R3.3.2 and SPARKR II (cluster installation) preparation A: Install a local machine at least first. can refer to the single-machine installation of the post "Sparkr" under CentOS7 to compile and install R3.3.2 and SPARKRB: Prepare three slave machinesC: Configuration file CopyokD: Install RstudioE: Install Sparkr (Spark is less than version 1.4)F: Configure R cluster. installation 1. Follow the previous blog post with a variety of environment installa