potterzot

# This lets you type `make`
# and will pandoc all *.Rmd files in the letters directory
# into pdfs stored in the output directory

all: readme letters

#generate all letters
SRC=$(wildcard letters/*.Rmd)
OUT=$(patsubst letters/%.Rmd, output/%.pdf, $(SRC))
letters: $(OUT)

halhen

# data from http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostat
# Originally seen at http://spatial.ly/2014/08/population-lines/

# So, this blew up on both Reddit and Twitter. Two bugs fixed (southern Spain was a mess,
# and some countries where missing -- measure twice, submit once, damnit), and two silly superflous lines removed after
# @hadleywickham pointed that out. Also, switched from geom_segment to geom_line.

# The result of the code below can be seen at http://imgur.com/ob8c8ph

library(tidyverse)

MilesMcBain

#!/bin/bash	
sudo apt-get update
sudo apt-get install \
libxml2-dev \
libsqlite-dev \
libcurl4-openssl-dev \
libssl-dev \
libmagick++-dev 

hadley

library(shiny)
library(httr)

# OAuth setup --------------------------------------------------------

# Most OAuth applications require that you redirect to a fixed and known
# set of URLs. Many only allow you to redirect to a single URL: if this
# is the case for, you'll need to create an app for testing with a localhost
# url, and an app for your deployed app.

brookinc

#!/usr/bin/env bash

# This script stashes the currently staged changes, and leaves everything else in the working directory as-is.
# (source: https://stackoverflow.com/questions/14759748/stashing-only-staged-changes-in-git-is-it-possible/39644782#39644782)

# Prompt for the desired repo path
REPOPATH=
read -p "Enter the repo path, or press ENTER for current dir: " REPOPATH

# Read the desired stash description from the command line, or prompt the user for it if necessary

hrbrmstr

library(rvest)
library(ore)
library(tidyverse)
library(jericho)

options("HTTPUserAgent"="hrbrbot")

pg <- read_html("https://help.github.com/")

html_nodes(pg, "a") %>% 

DavisVaughan

library(DBI)
library(dplyr)
library(pool)

pool <- dbPool(drv = RPostgres::Postgres(),
               dbname = "rstudioconftweets",
               host = "rstudioconf-tweets.c0azx4micevq.us-east-1.rds.amazonaws.com",
               user = "guest",
               password = "guest",
               port = 5432)

hrbrmstr

#!/bin/bash

TODAY=`date +%Y-%m-%d`
TODAY_MD=`date +%B\ %d,\ %Y`
YEAR=`date +%Y`

PACKAGENAME=$1

##
## CHANGE ME!!!

sadatnfs

    require(ncdf4)  
    require(ncdf4.helpers)
    require(data.table)
    
    ## Get the name of the value vars in the nc file
    get_nc_value_name <- function(nc_file) {
      
      ## Get names
      nc_obj <- nc_open(nc_file)
      name<-names(nc_obj$var)

DavisVaughan

# This example demonstrates running furrr code distributed on 2 AWS instances ("nodes").

# The instances have already been created.

library(future)
library(furrr)

# Two t2.micro AWS instances
# Created from http://www.louisaslett.com/RStudio_AMI/
public_ip <- c("34.205.155.182", "34.201.26.217")