The R Project for Statistical Computing Bash Reference Manual Table of Contents This text is a brief description of the features that are present in the Bash shell (version 4.2, 28 December 2010). This is Edition 4.2, last updated 28 December 2010, of The GNU Bash Reference Manual, for Bash, Version 4.2. Bash contains features that appear in other popular shells, and some features that only appear in Bash. This manual is meant as a brief introduction to features found in Bash. 1 Introduction 1.1 What is Bash? Bash is the shell, or command language interpreter, for the GNU operating system. Bash is largely compatible with sh and incorporates useful features from the Korn shell ksh and the C shell csh. While the GNU operating system provides other shells, including a version of csh, Bash is the default shell. 1.2 What is a shell? At its base, a shell is simply a macro processor that executes commands. A Unix shell is both a command interpreter and a programming language. Shells may be used interactively or non-interactively. 2 Definitions blank builtin job
Quick-R: Home Page Webinar | Introduction to R for Data Mining For a quick start: Find a way of orienting yourself in the open source R worldHave a definite application area in mindSet an initial goal of doing something useful and then build on it In this webinar, we focus on data mining as the application area and show how anyone with just a basic knowledge of elementary data mining techniques can become immediately productive in R. We will: Provide an orientation to R’s data mining resourcesShow how to use the "point and click" open source data mining GUI, rattle, to perform the basic data mining functions of exploring and visualizing data, building classification models on training data sets, and using these models to classify new data.Show the simple R commands to accomplish these same tasks without the GUIDemonstrate how to build on these fundamental skills to gain further competence in RMove away from using small test data sets and show with the same level of skill one could analyze some fairly large data sets with RevoScaleR
R Tutorial Series: R Tutorial Series: Introduction to The R Project for Statistical Computing (Part 1) R is a free, cross-platform, open-source statistical analysis language and program. It is also an alternative to expensive commercial statistics software such as SPSS. The environment for R differs from the typical point and click interface found in most professional office applications. Although it does take some effort to become familiar with, R ultimately proves to be an affordable, customizable, and expandable statistical analysis solution. This tutorial intends to quickly and easily bring new users up to speed with R. Acquiring R R is free, open-source software that runs on Mac OS, Windows, Linux, and Unix platforms. The R Interface The R interface is composed of three main parts. R Commands Commands are most commonly issued to R in the form of functions. q() The Working Directory One of the initial things that you want to do when you launch R for the first time is to set its working directory. > getwd()[1] "/Users/Admin/Documents/R" > setwd('/Users/Admin/Documents/R/newProject')
Shortcuts to move faster in Bash command line - teohm.dev Nowadays, I spend more time in Bash shell, typing longer commands. One of my new year resolutions for this year is to stop using left/right arrow keys to move around in the command line. I learned a few shortcuts a while ago. Last night, I spent some time to read about “Command Line Editing” in the bash manual. The bash manual is a well-written piece of documentation. Well, here’s the new shortcuts I learned: Basic moves Move back one character. Moving faster Move to the start of line. What is Meta? Cut and paste (‘Kill and yank’ for old schoolers) Cut from cursor to the end of line. Search the command history Search as you type. Need more? A comprehensive bash editing mode cheatsheet by Peteris Krumin (catonmat.net).Vim users!
Cookbook for R » Cookbook for R In-depth introduction to machine learning in 15 hours of expert videos In January 2014, Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook) taught an online course based on their newest textbook, An Introduction to Statistical Learning with Applications in R (ISLR). I found it to be an excellent course in statistical learning (also known as "machine learning"), largely due to the high quality of both the textbook and the video lectures. And as an R user, it was extremely helpful that they included R code to demonstrate most of the techniques described in the book. (Update: The course will be offered again in January 2016!) If you are new to machine learning (and even if you are not an R user), I highly recommend reading ISLR from cover-to-cover to gain both a theoretical and practical understanding of many important methods for regression and classification. P.S. Chapter 1: Introduction (slides, playlist) Chapter 2: Statistical Learning (slides, playlist) Interviews (playlist)
Table of keyboard shortcuts In computing, a keyboard shortcut is a sequence or combination of keystrokes on a computer keyboard which invokes commands in software. Some keyboard shortcuts require the user to press a single key or a sequence of keys one after the other. Other keyboard shortcuts require pressing and holding several keys simultaneously (indicated in the tables below by this sign: +). Keyboard shortcuts may depend on the keyboard layout (localization). Comparison of keyboard shortcuts[edit] Keyboard shortcuts are a common aspect of most modern operating systems and associated software applications. General shortcuts[edit] A note regarding KDE's shortcuts is that they can be changed and the below list contains the defaults. [edit] Power management[edit] Screenshots[edit] Text editing[edit] Many of these commands may be combined with ⇧ Shift to select a region of text. Text formatting[edit] [edit] Web browsers[edit] Tab management[edit] Window management[edit] User interface navigation (widgets and controls)[edit]