myersjustinc

// Source: http://www.census.gov/geo/www/ansi/countylookup.html

var countyToFIPS = {
    'Alabama': {
        'Autauga County': '01001',
        'Baldwin County': '01003',
        'Barbour County': '01005',
        'Bibb County': '01007',
        'Blount County': '01009',
        'Bullock County': '01011',

low-decarie

theme_minimal <- function (base_size = 12, base_family = "") 
{
   structure(list(axis.line = theme_blank(), axis.text.x = theme_text(family = base_family, 
       size = base_size * 0.8, lineheight = 0.9, vjust = 1), 
       axis.text.y = theme_text(family = base_family, size = base_size * 
           0.8, lineheight = 0.9, hjust = 1), axis.ticks = theme_segment(colour = "black", 
           size = 0.2), axis.title.x = theme_text(family = base_family, 
           size = base_size, vjust = 0), axis.title.y = theme_text(family = base_family, 
           size = base_size, angle = 90, vjust = 0.5), axis.ticks.length = unit(0.3, 
           "lines"), axis.ticks.margin = unit(0.5, "lines"), legend.background = theme_rect(colour = NA), 

frsyuki

My thoughts on MessagePack

Hi. My name is Sadayuki "Sada" Furuhashi. I am the author of the MessagePack serialization format as well as its implementation in C/C++/Ruby.

Recently, MessagePack made it to the front page of Hacker News with this blog entry by Olaf, the creator of the Facebook game ZeroPilot. In the comment thread, there were several criticisms for the blog post as well as MessagePack itself, and I thought this was a good opportunity for me to address the questions and share my thoughts.

My high-level response to the comments

To the best of my understanding, roughly speaking, the criticisms fell into the following two categories.

cdesante

#Plotting Random Variables
#rnorm(N, mean, sd): generates a
#random normal variable of length N
#with specified mean and std. dev. (sd)
# x/ylim = range of X/Y axis.
#col: colors, specified with an ifelse()
#pch, plot symbol to use
#pch list: http://voteview.com/symbols_pch.htm

X <- rnorm(500)   #draw var 1

mages

# Thanks to John Maindonald
library(WDI)
indnams <- c("fertility.rate", "life.expectancy", 
          "population", "GDP.per.capita.Current.USD", 
          "15.to.25.yr.female.literacy")
inds <- c('SP.DYN.TFRT.IN','SP.DYN.LE00.IN', 
          'SP.POP.TOTL','NY.GDP.PCAP.CD', 
          'SE.ADT.1524.LT.FE.ZS')
wdiData <- WDI(country="all", indicator=inds,
               start=1960, end=format(Sys.Date(), "%Y"), 

hofmannsven

Raspberry Pi

• Related tutorial: http://raspberrypiguide.de/
• Command Line Cheatsheet: https://gist.github.com/hofmannsven/8392477

Setup

Find all available devices arp -a

Locate Raspberry (b8:27:eb) in Network: Pi Finder

SSH

octocat

# Compiled source #
###################
*.com
*.class
*.dll
*.exe
*.o
*.so

# Packages #

davharris

set.seed(1)

# Create fake data
x = runif(100, 0, 5)
y = .25 * x^3 - x^2 + rnorm(length(x))
data = data.frame(x = x, y = y)

# Identify 500 points to include in the plots
x.sequence = seq(0, 5, length = 500)

MarkEdmondson1234

#HWplot.R

library(ggplot2)
library(reshape)


HWplot<-function(ts_object, n.ahead=4, CI=.95, error.ribbon='green', line.size=1){
  
  hw_object<-HoltWinters(ts_object)
  

adrianorsouza

Launch Sublime Text from the command line on OSX

Sublime Text includes a command line tool, subl, to work with files on the command line. This can be used to open files and projects in Sublime Text, as well working as an EDITOR for unix tools, such as git and subversion.

Requirements

• Sublime text 2 or 3 installed in your system within Applications folder

Setup