Jose Manuel Vera verajosemanuel

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

Installation information for R with GTK+

Windows

Install the newest version of R. Additionally, I highly recommend R-Studio for working with R regularly (but the basic command line will work just fine for most applications). Once R is installed, you can install GTK directly from within R (details below). In short:

install R for Windows
optional but recommended: install R-Studio
install GTK+

From the R command line (e.g. in R-Studio), install the RGtk2 package by running: install.packages("RGtk2", depen=T)
This might fail with the warning that package ‘RGtk2’ is not available (for R version xxx) if your version of R has been released very recently. If so, just run install.packages("RGtk2", depen=T, type="source") instead to install the RGtk2 package directly from its source code (this might take a few

Using Google Maps API and R

This script uses RCurl and RJSONIO to download data from Google's API to get the latitude, longitude, location type, and formatted address

library(RCurl)
library(RJSONIO)
library(plyr)

A bunch of good git tutorials

Intro to git

Simplest intro to git by github and codeschool - Try Git
PeepCode Git Internals PDF
[Intro to github]

	#!/usr/bin/env Rscript
	library(rvest)
	futile.logger::flog.info('starting...')
	futile.logger::flog.info('checking website')

	ubuntu_dailies <- read_html("https://dailies.rstudio.com/rstudioserver/oss/ubuntu/amd64/")
	futile.logger::flog.info('extracting url')
	ubuntu_latest <- ubuntu_dailies %>%
	html_nodes(".filename a") %>%
	html_attr("href")

	library(magick)
	library(reshape2)
	library(dplyr)
	library(tidygraph)
	library(particles)
	library(animation)

	plot_fun <- function(sim) {
	df <- as_tibble(sim)
	plot(df$x, df$y, col = df$color, pch = '.', axes = FALSE, xlim = c(-100, 317), ylim = c(-268, 100), xlab = NA, ylab = NA)

	library(data.table)
	library(gganimate)
	library(ggplot2)

	#toy example data
	dt = data.table(time=1:10, x=round(runif(10, 50, 100), 0))

	#number of frames per bar
	n_frames_per_bar = 20
	#create sequence per time (to imitate the bar growing from ground)

	# Here are a few methods for getting text from PDF files. Do read through
	# the instructions carefully! NOte that this code is written for Windows 7,
	# slight adjustments may be needed for other OSs

	# Tell R what folder contains your 1000s of PDFs
	dest <- "G:/somehere/with/many/PDFs"

	# make a vector of PDF file names
	myfiles <- list.files(path = dest, pattern = "pdf", full.names = TRUE)

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