- RUN TEXTWRANGLER SCRIPT IN R HOW TO
- RUN TEXTWRANGLER SCRIPT IN R INSTALL
- RUN TEXTWRANGLER SCRIPT IN R MAC
Source('path/to/my/mystuff.r') # the file can also be on the internet, for easy access from different computurs then, the path is a URL. Then, when you need the stuff, use cmd-E ('soure document') or type: Save this as a plain text file with 'UTF-8, no BOM' and unix (LF) linebreaks. Hint: create a little *.r file where you list all source files and packages you usually need, e.g.
Source('') # loads the g-sampling algorithm described in Bickel 2008. Source('') # loads a convenience function for producing scree plots described below Load additional source files you need, e.g.
RUN TEXTWRANGLER SCRIPT IN R INSTALL
Or, simply install all packages, especially if you work on a laptop and might not have constant internet access. You can install them one-by-one using the Package Installer and then load the packages you need with the Package Manager. Load at least the following packages because they are useful for typologists ( and are required by many of the commands explained in this documents): "MASS", "pscl", "coin", "car", "gplots", "gmodels","gdata", "gtools","catspec", "vcd", "spatstat", "reshape","cluster", "catspec", "survival", "epitools", "exactLoglinTest", "Design","FactoMineR", "languageR", "beanplot trotter".Launch X11.app (in Utitilities) and keep it running in the background, then launch R.app.
RUN TEXTWRANGLER SCRIPT IN R MAC
Since I use R on a Mac (OS X) I sometimes refer to the specifics of how R runs on a Mac, but the choice of platform only matters for menu commands such as 'change directory' and the way packages are installed. However, for some help with DOBES corpora, see CPDP Corpus help I use R mainly on typological linguistic data, and this biases the kinds of tests and graphs mentioned. However, there are two textbooks on linguistic statistical analysis in R coming out soon, an introductory one by Keith Johnson at UC Berkeley, and an advanced one by Harald Baayen at the MPI for Psycholinguistics in Nijmegen. Note though that the official introductory texts are difficult for beginners with no experience in command lines or programming. (I wrote this guide because I had a frustrating, time-consuming experience learning R.) There are many other resources and introductions to R, all available from and they may suit your needs better. This guide is meant for people who would like to use R for statistics and graphics but don't want to spend hours on learning the R programming language. If exists POSIX file "/Applications/TextWrangler.Ezr E-Z-R: an introduction to R for typologists Set end of my noDocsList to this_item & return Set getMan to paragraphs of ( do shell script "man " & this_item) Set theDescriptions to theDescriptions & return & what_is & return If text 1 thru n_item of what_is is this_item and what_is does not contain "nothing appropriate " then Set what_is to do shell script "whatis " & this_item Repeat with i from 1 to count of theItems Set theItems to name of every file of folder "bin " of folder "usr " of startup disk Repeat with i from 1 to count of items in aText In /usr/bin and displays it in a text document This script produces a summary of all the CLI tools The display is much nicer in TextWrangler, but if you’re stuck with TextEdit, turning off ‘Check Spelling’ in TextEdit will aid readability. The script will choose TextWrangler for display if you have it installed if not, it’ll default to TextEdit. Browse or search through it at your own convenience. 🙂
This script took about 1m 30 seconds to run on my machine, but you only need to run it once then save the output. On my current machine, there’s over 1000 tools in /usr/bin, and life is just too short to go through them all doing whatis on each and every one, so we’ll combine a bit of command line power with some AppleScript magic, and produce a nice, easy-to-scroll output of all the summaries like the one in the screenshot above.Ĭopy the script below (or from my pastebin here) and paste it into the Script Editor ( /Applications/Utilities/Script Editor.app). If it looks interesting, you can find out more about the tool by typing man and the tool’s name on the command line to see its help manual. The whatis tool gives you a one-liner description of what a tool does. Most of the tools you use in Terminal are located in /usr/bin, and we can use a nifty little tool from there to find out about all its friends.
RUN TEXTWRANGLER SCRIPT IN R HOW TO
It’s been a while since we last posted about Terminal tips and tricks, but a question popped up today about how to discover what tools are available on the command line.
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