ivyleavedtoadflax

Working-Papers

At present, Mendeley does not support the use of the Institution and Series field which
are used in the Working-Paper and Report style. We can only hope that support is added
for this is in the future.

In the meantime, correct bibliography entries for the style...

Arcand, J., Berkes, E. & Panizza, U. (2012). Too much finance? 
IMF Working Papers. WP/12/161. IMF, Washington DC

ivyleavedtoadflax

\documentclass{article}

\usepackage{hyperref}

\begin{document}

\section{Info}

Solution to \href{http://stackoverflow.com/questions/30309311/error-in-applying-a-for-loop-to-an-xtable-in-knitr}{this} Stack Overflow post. Tested with \texttt{xtable} version 1.7-4 on:

ivyleavedtoadflax

---
title: "Xtable examples"
subtitle: "From [this thread](http://stackoverflow.com/questions/32005471/simple-example-of-using-tables-knitr-for-latex)"
author: "Matthew Upson"
date: "15 August 2015"
output: pdf_document
---

```{r}
library("xtable")

ivyleavedtoadflax

---
title: "To draw a map"
author: "Matthew Upson"
date: "10 September 2015"
output: pdf_document
---
  
  [http://stackoverflow.com/questions/32466608/accessing-the-internet-with-knitr](http://stackoverflow.com/questions/32466608/accessing-the-internet-with-knitr)
  

ivyleavedtoadflax

# Load packages including ggplot2

library(dplyr)
library(purrr)
library(ggplot2)

# Follow example as at: https://github.com/hadley/purrr/blob/master/README.md

random_group <- function(n, probs) {

ivyleavedtoadflax

library(mnormt)
mycols <- topo.colors(100,0.5)
xhat <- c(0.2, -0.2)
Sigma <- matrix(c(0.4, 0.3, 
                  0.3, 0.45), ncol=2)
x1 <- seq(-2, 4,length=151)
x2 <- seq(-4, 2,length=151)
f <- function(x1,x2, mean=xhat, varcov=Sigma) 
  dmnorm(cbind(x1,x2), mean,varcov)
z <- outer(x1,x2, f)

ivyleavedtoadflax

Connecting to MS SQL Server using RODBC

You may need to install the following libraries (if you don't already have them)

install.packages("RODBC")
install.packages("dplyr")

Load these packages

ivyleavedtoadflax

#!/bin/bash

cat urls-august.csv | tr "\r" "\n" > urls-august-unix.csv
mv urls-august-unix.csv urls-august.csv

ivyleavedtoadflax

# Have a look at rle in the console. This function is largely bastardised from
# it. I have used a testing framework testthat to ensure that the outcome is
# what we expect it to be. You can add more tests as required!

# Define the max_rl function ----

max_rl <- function(x, val) {
  
  # x is the target vector, val is the value for which we want to know the longest
  # run length.

ivyleavedtoadflax

library(plyr)
library(dplyr)

# Create a vector of numbers

num_vec <- round(runif(n = 100, min = 1, max = 26))

# Convert these to letters using the inbuilt letters vector

letter_vec <- letters[num_vec]