Martin-Jung

# Test of Significance, takes the same arguments as t.test() .
signif.test <- function(x, ...) {
  p <- t.test(x, ...)$p.value
  
  # List of p excuses retrieved from http://mchankins.wordpress.com/2013/04/21/still-not-significant-2/
  p_excuses <- c(
    "(barely) not statistically significant <p>",
    "a barely detectable statistically significant difference <p>",
    "a borderline significant trend <p>",
    "a certain trend toward significance <p>",

Martin-Jung

Some ggplot tutorials available online:

• H. Wickham: Official ggplot2 documentation
• H. Wickham: ggplot2 book
• W. Chang: R graphics cookbook and Cookbook for R
• Z. Ross: Beautiful plotting in R: A ggplot2 cheatsheet
• D. Koffman: Introduction to ggplot2
• R. Saccilotto: Tutorial: ggplot2
• R. Hartman: How to format plots for publication using ggplot2
• G. Williams: Visualising data with ggplot2

Martin-Jung

import os
import sys

import requests

 
basefname = 'Hansen_GFC2013_lossyear_%d%s_%03d%s.tif'
baseurl = 'http://commondatastorage.googleapis.com/earthenginepartners-hansen/GFC2013/%s'

def download(url, output):

Martin-Jung

stat_smooth_func <- function(mapping = NULL, data = NULL,
                        geom = "smooth", position = "identity",
                        ...,
                        method = "auto",
                        formula = y ~ x,
                        se = TRUE,
                        n = 80,
                        span = 0.75,
                        fullrange = FALSE,
                        level = 0.95,

Martin-Jung

# 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)

Martin-Jung

################################################################################
#                                                    
# ikashnitsky.github.io 2017-06-30
# Produce an RGB coded map of pop structures at NUTS-3 level
# Ilya Kashnitsky, ilya.kashnitsky@gmail.com
#                                                  
################################################################################

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

Martin-Jung

---
title: "R Notebook"
output: html_document
---

```{r echo=FALSE, warning=FALSE, message=FALSE}
library(tidyverse)
library(leaflet)
library(mapview)
library(sf)

Martin-Jung

Table of Contents

1. Table of Contents
2. General Usage
3. File Spacing
4. Numbering and Calculations
5. Conversion and Substitution
6. Selective Printing
7. Selective Deletion

Martin-Jung

#### 1. Sign up at GitHub.com ################################################

## If you do not have a GitHub account, sign up here:
## https://github.com/join

# ----------------------------------------------------------------------------

#### 2. Install git ##########################################################

## If you do not have git installed, please do so: