krassowski

library(ggplot2)
source('geom_font_awesome.R')

shapes_map = c(
    setosa = 'car',
    virginica = 'ban',
    versicolor = 'star'
)

(

acoppock

# Gelman and Hill 2007: Chapter 3 Regression Examples 
# Using ggplot and estimatr

rm(list = ls())
# Uncomment to install
# install.packages("ggplot2")
# install.packges("haven")
# install.pacakges("estimatr")

library(ggplot2)

DarwinAwardWinner

#!/usr/bin/env Rscript

suppressPackageStartupMessages({
    library(globals)
    library(readr)
    library(stringr)
    library(rex)
    library(magrittr)
    library(rlang)
    library(knitr)

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)

briandk

# Early in the script
pkgs_pre_script <- try(devtools::loaded_packages(), silent = TRUE)
 
 
 
# Late in the script
pkgs_used_during_script <- try(devtools::loaded_packages(), silent = TRUE)
 
cat("* ")
print(citation(), style="text") # or Bibtex or LaTeX

briandk

title: "[Title Goes Here]"
author: "[Blinded for Review]"
documentclass: "article"
output:
  pdf_document:
    keep_tex: true
    number_sections: true
    highlight: "tango"
    toc: true
    md_extensions: +implicit_figures +grid_tables +fenced_code_blocks +fenced_code_attributes

daattali

# Get a person's name, location, summary, # of connections, and skills & endorsements from LinkedIn

# URL of the LinkedIn page 
user_url <- "https://www.linkedin.com/in/daattali"

# since the information isn't available without being logged in, the web
# scraper needs to log in. Provide your LinkedIn user/pw here (this isn't stored
# anywhere as you can see, it's just used to log in during the scrape session)
username <- "yourusername"
password <- "yourpassword"

chrissimpkins

Use these rapid keyboard shortcuts to control the GitHub Atom text editor on macOS.

Key to the Keys

• ⌘ : Command key
• ⌃ : Control key
• ⌫ : Delete key
• ← : Left arrow key
• → : Right arrow key
• ↑ : Up arrow key

jennybc

scale_x_discrete(limits = rev(levels(the_factor)))

lmullen

SLIDES := $(patsubst %.md,%.md.slides.pdf,$(wildcard *.md))
HANDOUTS := $(patsubst %.md,%.md.handout.pdf,$(wildcard *.md))

all : $(SLIDES) $(HANDOUTS)

%.md.slides.pdf : %.md
	pandoc $^ -t beamer --slide-level 2 -o $@

%.md.handout.pdf : %.md
	pandoc $^ -t beamer --slide-level 2 -V handout -o $@