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StatQuantileBin <- ggplot2::ggproto("StatQuantileBin", ggplot2::StatBin, 
   default_aes = ggplot2::aes(x = ggplot2::after_stat(density), y = ggplot2::after_stat(density), weight = 1),                                   
   compute_group = function(data, scales, 
                            binwidth = NULL, bins = 30, breaks = NULL, trim = 0,
                            closed = c("right", "left"), pad = FALSE,
                            flipped_aes = FALSE,
                            # The following arguments are not used, but must
                            # be listed so parameters are computed correctly
                            origin = NULL, right = NULL, drop = NULL,

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# Download any data file from a private GitHub repo
# regardless of how large it is.
# Returns a string that will then need to be parsed
# by read_csv or the like to turn it into a data frame.

# Dependencies
require(tidyverse)
require(httr) 
require(rlist)
require(jsonlite)

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# see https://www.topbug.net/blog/2013/04/14/install-and-use-gnu-command-line-tools-in-mac-os-x/

# core
brew install coreutils

# key commands
brew install binutils
brew install diffutils
brew install ed
brew install findutils

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#' @title bibtex_2academic
#' @description import publications from a bibtex file to a hugo-academic website
#' @author Lorenzo Busetto, phD (2017) <[email protected]>

bibtex_2academic <- function(bibfile,
                             outfold,
                             abstract = FALSE,
                             overwrite = FALSE) {

  require(RefManageR)

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Nvim-R-Tmux: Neovim-based IDE for R

---

Table of Content

1. Overview
2. Installation
   1. Neovim
3. Tmux

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library(tidyverse)
library(sf)

Generate fake data (tribble() is a cool function, btw)

events <- tribble(
  ~event, ~latitude, ~longitude,

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git config --global core.excludesfile ~/.gitignore
echo .DS_Store >> ~/.gitignore

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################################################################################
#                                                    
# ikashnitsky.github.io 2017-06-30
# Produce an RGB coded map of pop structures at NUTS-3 level
# Ilya Kashnitsky, [email protected]
#                                                  
################################################################################

# Erase all objects in memory
rm(list = ls(all = TRUE))

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

library(tidyverse)

read_csv('../data/geostat-2011/GEOSTAT_grid_POP_1K_2011_V2_0_1.csv') %>%

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