benmarwick

Short instructions to setup a Lubuntu Virtual Machine with
R & RStudio:

1. Download these: 
http://lubuntu.net/ (Intel x86 desktop cd)
https://www.virtualbox.org/wiki/Downloads (Oracle VM VirtualBox)

2. Install Oracle VM VirtualBox, open it (if using windows,
run as administrator), click 'New' button, at 
'Name' put Lubuntu, 'Type' choose Linux, 'Version' choose

jennybc

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

bl4ck5un

\usepackage{tgpagella} % text only
\usepackage{mathpazo}  % math & text

Junuxx

'''
Created on 26 jan. 2016

@author: Jeroen Kools

Based on the following StackOverflow question:
https://stackoverflow.com/questions/35002027/maximizing-a-combination-of-a-series-of-values#comment57732451_35002027

- 18 students
- 12 dates

noamross

#' Source the R code from an knitr file, optionally skipping plots
#'
#' @param file the knitr file to source
#' @param skip_plots whether to make plots. If TRUE (default) sets a null graphics device
#'
#' @return This function is called for its side effects
#' @export
source_rmd = function(file, skip_plots = TRUE) {
  temp = tempfile(fileext=".R")
  knitr::purl(file, output=temp)

mike-lawrence

functions{
	// GP: computes noiseless Gaussian Process
	vector GP(real volatility, real amplitude, vector normal01, int n_x, real[] x ) {
		matrix[n_x,n_x] cov_mat ;
		real amplitude_sq_plus_jitter ;
		amplitude_sq_plus_jitter = amplitude^2 + 1e-6 ;
		cov_mat = cov_exp_quad(x, amplitude, 1/volatility) ;
		for(i in 1:n_x){
			cov_mat[i,i] = amplitude_sq_plus_jitter ;
		}

backroot

#!/bin/bash

sudo yum -y install epel-release
sudo yum -y install haskell-platform --enablerepo=epel

cabal update
cabal install pandoc --force-reinstall

thomasp85

library(gganimate) # thomasp85/gganimate
library(cartogram)
library(geogrid) # Need github version jbaileyh/geogrid
library(rnaturalearth)
library(sf)
library(scico)

us <- ne_states('united states of america', returnclass = 'sf')
us <- us[!us$woe_name %in% c('Alaska', 'Hawaii'), ]
us <- st_transform(us, '+proj=eqdc +lat_0=39 +lon_0=-96 +lat_1=33 +lat_2=45 +x_0=0 +y_0=0 +datum=NAD83 +units=m +no_defs')

benmarwick

# https://arxiv.org/pdf/1809.09328.pdf & https://twitter.com/CT_Bergstrom/status/1035327464644333568
# they use Mathematica, boo! So let's make them with R

# starting with https://stackoverflow.com/q/33396168/1036500

library(ggplot2)


p <- ggplot() + 
  geom_point(data = anscombe,

aleszu

library(data.table)
library(dplyr)
library(R.utils)

# JUST MASS 
mass <- gunzip("arcos-ma-statewide-itemized.tsv.gz")
mass_opioids <- fread(file = 'arcos-ma-statewide-itemized.tsv')
glimpse(mass_opioids) # 2,574,240 observations
summary(mass_opioids)