dbWriteTable.fast.R

# Function to get data over to PostgreSQL quickly and with minimal loss
# of information due to data type conversions.
# Note that I have had cases where the pipe() call returned an error due
# to lack of memory. So care should be taken with this function
dbWriteTable.fast <- function (conn,name,value,row.names=FALSE,
                                overwrite=TRUE,fix.names=TRUE) {

	# Conform names to PostgreSQL requirements
	pg.names <- make.db.names(conn,names(value))
    

lucasfais

Sublime Text 2 – Useful Shortcuts (Mac OS X)

General

⌘T	go to file
⌘⌃P	go to project
⌘R	go to methods
⌃G	go to line
⌘KB	toggle side bar
⌘⇧P	command prompt

artero

Launch Sublime Text 2 from the Mac OS X Terminal

Sublime Text 2 ships with a CLI called subl (why not "sublime", go figure). This utility is hidden in the following folder (assuming you installed Sublime in /Applications like normal folk. If this following line opens Sublime Text for you, then bingo, you're ready.

open /Applications/Sublime\ Text\ 2.app/Contents/SharedSupport/bin/subl

You can find more (official) details about subl here: http://www.sublimetext.com/docs/2/osx_command_line.html

Installation

simme

# First install tmux
brew install tmux

# For mouse support (for switching panes and windows)
# Only needed if you are using Terminal.app (iTerm has mouse support)
Install http://www.culater.net/software/SIMBL/SIMBL.php
Then install https://bitheap.org/mouseterm/

# More on mouse support http://floriancrouzat.net/2010/07/run-tmux-with-mouse-support-in-mac-os-x-terminal-app/

bclinkinbeard

dataset = []
w = 500
h = 400
padding = 30

dataset.push [ Math.random() * w, Math.random() * h ] for [0..50]

svg = d3.select("body")
        .append("svg")
        .attr("width", w)

mrdwab

LinearizeNestedList <- function(NList, LinearizeDataFrames=FALSE,
                                NameSep="/", ForceNames=FALSE) {
    # LinearizeNestedList:
    #
    # https://sites.google.com/site/akhilsbehl/geekspace/
    #         articles/r/linearize_nested_lists_in_r
    #
    # Akhil S Bhel
    # 
    # Implements a recursive algorithm to linearize nested lists upto any

reinholdsson

wch

max_plots <- 5

ui <- fluidPage(

  headerPanel("Dynamic number of plots"),

  sidebarPanel(
    sliderInput("n", "Number of plots", value=1, min=1, max=5)
  ),

reinholdsson

MOVED TO: https://delicious.com/reinholdsson

Programming Links

Primarily R and JavaScript links. Collection maintained by Thomas Reinholdsson.

--- Todo: Move to github page and structure up ---

Unsorted

• Implementing a DPU with OpenCPU

hadley

# We first start by creating a way of escaping the characters that have special
# meaning for html, while making sure we don't end up double-escaping at any
# point. The easiest way to do this is to create an S3 class that allows us to
# distinguish between regular text (that needs escaping) and html (that
# doesn't).
#
# We then write an escape method that leaves html unchanged and escapes the
# special characters (&, <, >) in ordinary text. We also add a method for lists
# for convenience