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

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

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)

DarwinAwardWinner

#!/usr/bin/env Rscript

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

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)

krassowski

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

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

(