Pakillo

---
title: "Auto-numbering and cross-referencing of figures and tables in rmarkdown"
output: html_document
---

TODO: check this out: https://github.com/adletaw/captioner

Here's how to use:

1. Copy and paste the first two code chunks in this document to the top of your document

Pakillo

# 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)

Pakillo

# Joseph R. Mihaljevic
# July 2013
# (Partial) Bayesian analysis of variance, accounting for heteroscedasticity
# Generate some artificial data:
# Normally distributed groups, but heteroscedastic
a <- rnorm(25, mean=8, sd=10)
b <- rnorm(50, mean=5, sd=2)
c <- rnorm(25, mean=3, sd=.1)
d <- rnorm(25, mean=11, sd=3)
e <- rnorm(50, mean=13, sd=2)

Pakillo

Notes:

• I've tried to break up in to separate pieces, but it's not always possible: e.g. knowledge of data structures and subsetting are tidy intertwined.

• Level of Bloom's taxonomy listed in square brackets, e.g. http://bit.ly/15gqPEx. Few categories currently assess components higher in the taxonomy.

Programming R curriculum

Data structures

Pakillo

polygonizer <- function(x, outshape=NULL, gdalformat = 'ESRI Shapefile', 
                        pypath=NULL, readpoly=TRUE, quietish=TRUE) {
  # x: an R Raster layer, or the file path to a raster file recognised by GDAL
  # outshape: the path to the output shapefile (if NULL, a temporary file will be created)
  # gdalformat: the desired OGR vector format
  # pypath: the path to gdal_polygonize.py (if NULL, an attempt will be made to determine the location
  # readpoly: should the polygon shapefile be read back into R, and returned by this function? (logical)
  # quietish: should (some) messages be suppressed? (logical)
  if (isTRUE(readpoly)) require(rgdal)
  if (is.null(pypath)) {

Pakillo

## Function to use GDAL to project coordinate reference system

# See http://www.gdal.org/gdalwarp.html for additional details 
# `resampling` can be 'near' (nearest neighbour), 'bilinear', 'cubic', or
# 'lanczos' (Lanczos windowed sinc resampling). 
# `extent` should be a bbox object or a vector of c(xmin, ymin, xmax, ymax)
# `of` is the output format (use GDAL short name as given by the name field of
# gdalDrivers(), or at http://www.gdal.org/formats_list.html)
# `extension` is the output extension corresponding to the primary file
# `ot` is the output type (see http://www.gdal.org/gdal_translate.html)

Pakillo

swatch <- function(x) {
  # x: a vector of colours (hex, numeric, or string)
  par(mai=c(0.2, max(strwidth(x, "inch") + 0.4, na.rm = TRUE), 0.2, 0.4))
  barplot(rep(1, length(x)), col=rev(x), space = 0.1, axes=FALSE, 
          names.arg=rev(x), cex.names=0.8, horiz=T, las=1)  
}

# Example:
# swatch(colours()[1:10])
# swatch(iwanthue(5))

Pakillo

### Title: Back to basics: High quality plots using base R graphics
###	An interactive tutorial for the Davis R Users Group meeting on April 24, 2015
###
### Date created: 20150418
### Last updated: 20150423
###
### Author: Michael Koontz
### Email: mikoontz@gmail.com
###	Twitter: @michaeljkoontz
###

Pakillo

---
title: "A few methods for making tables in rmarkdown"
output: html_document
---

Updates: 

Packages that have appeared since my original look into this, and seem great:

https://github.com/yihui/printr

Pakillo

Converting a Word Document to Markdown in One Move

The Problem

A lot of important government documents are created and saved in Microsoft Word (*.docx). But Microsoft Word is a proprietary format, and it's not really useful for presenting documents on the web. So, I wanted to find a way to convert a .docx file into markdown.

Installing Pandoc

On a mac you can use homebrew by running the command brew install pandoc.

The Solution