benjie

Long Live CoffeeScript and Long Live ES6

Clearly ES6 is a huge improvement over ES5, and tools like [6to5][] allow us to use these cool features now. I was reading [Replace CoffeeScript with ES6][replace coffeescript] by [Blake Williams][] and thought it was a great summary of how ES6 solves many of the same problems that CoffeeScript solves; however I'd like to comment on a few of Blake's points and talk about why I'll be sticking with CoffeeScript.

Classes

Classes in ES6 (like many of the syntax changes in ES6) are very similar to the CoffeeScript equivalent. To support browsers that are not fully ES5 compliant (e.g. IE8-), however, we still can't really use getters/setters, so ignoring these the comparison is:

arunsrinivasan

Updated June 16 with latest devel

data.table's automatic indexing:

Generating some data first:

# R version 3.3.0
require(data.table) ## 1.9.7, commit 2433, github
require(dplyr) ## devel, commit 3189, github

hadley

iclass <- function(x) {
  c(
    if (is.matrix(x)) "matrix",
    if (is.array(x) && !is.matrix(x)) "array",
    if (is.double(x)) "double",
    if (is.integer(x)) "integer",
    mode(x)
  )
}

DanHerbert

OBSOLETE

This entire guide is based on an old version of Homebrew/Node and no longer applies. It was only ever intended to fix a specific error message which has since been fixed. I've kept it here for historical purposes, but it should no longer be used. Homebrew maintainers have fixed things and the options mentioned don't exist and won't work.

I still believe it is better to manually install npm separately since having a generic package manager maintain another package manager is a bad idea, but the instructions below don't explain how to do that.

Fixing npm On Mac OS X for Homebrew Users

Installing node through Homebrew can cause problems with npm for globally installed packages. To fix it quickly, use the solution below. An explanation is also included at the end of this document.

leeper

library('devtools')
library('utils')
library('httr')

update_github <-
function(ask = TRUE, ...){
  installed <- installed.packages()
  oldVersion <- installed[,'Version']
  urls <- sapply(names(oldVersion), function(x){
    d <- packageDescription(x)

bearloga

library(shiny)
library(ggplot2)

# Download DataTables JS file and TableTools full package from http://datatables.net/download/
# Change the paths appropriately:
addResourcePath('datatables','/Users/yourusername/Downloads/DataTables-1.9.4/media')
addResourcePath('tabletools','/Users/yourusername/Downloads/TableTools-2.1.5/media')

runApp(list(
	ui = basicPage(

ramnathv

to_json = function(df, orient = "columns", json = T){
  dl = as.list(df)
  dl = switch(orient, 
    columns = dl,
    records = do.call('zip_vectors_', dl),
    values = do.call('zip_vectors_', setNames(dl, NULL))
  )
  if (json){
    dl = rjson::toJSON(dl)
  }

hadley

# A tutorial navigates through a series of states, either manually, with
# nxt(), prv(), jmp() etc, or automatically, by using addTaskCallback() and
# checking that preconditions are met.
#   
# Each state has:
#  * a message
#  * a next state (a function name)  
#    (eventually may have multiple next named states)
#  * an auto test 
#

millermedeiros

Setup Mac OS X

I've done the same process every couple years since 2013 (Mountain Lion, Mavericks, High Sierra, Catalina) and I updated the Gist each time I've done it.

I kinda regret for not using something like Boxen (or anything similar) to automate the process, but TBH I only actually needed to these steps once every couple years...

ramnathv

This is a proof-of-concept of a parser to convert a markdown file to a ctv file, that is required for task views. The basic idea is to use a combination of YAML and markdown sections in the md file, parse it and convert it into a payload, and render it using a template as specified by the ctv package.

Structure of Markdown File

---
name: Working with data on the web
maintainer: Scott Chamberlain, Karthik Ram, Christopher Gandrud
email: scott at ropensci.org
version: 2013-09-17