kjhealy

library(dplyr)
library(tidyr)

## Sample data
tmp <- sample(1:10, 20, replace = TRUE)
tmp2 <- sample(20:50, 20, replace = TRUE)
raw.data <- paste(tmp, tmp2, sep="-")

raw.data

kjhealy

Keybase proof

I hereby claim:

• I am kjhealy on github.
• I am kjhealy (https://keybase.io/kjhealy) on keybase.
• I have a public key whose fingerprint is 02A0 1BC1 9860 B68F 5170 EC1D 2FA5 B859 36DB 10A2

To claim this, I am signing this object:

kjhealy

### From Rmd to PDF or html

## All Rmarkdown files in the working directory
SRC = $(wildcard *.Rmd)

## Location of Pandoc support files.
PREFIX = /Users/kjhealy/.pandoc

## Location of your working bibliography file
BIB = /Users/kjhealy/Documents/bibs/socbib-pandoc.bib

kjhealy

---

title: Lorem Ipsum author:

• name: Marion Fourcade affiliation: University of California, Berkeley email: [email protected]
• name: Kieran Healy affiliation: Duke University email: [email protected] date: October 2015

kjhealy

Shortcut for Syntax Highlighting in Keynote

The idea is based on a gist by @jimbojsb.

You can use Pygments or Highlight.

Install Pygments

brew install python

kjhealy

## Lehmann, Schwartz, and Hansen (2008)
## For use with igraph objects
## via http://stackoverflow.com/questions/31024481/detect-bi-cliques-in-r-for-bipartite-graph

library(igraph)

computeBicliques <- function(graph, k, l) {

  vMode1 <- c()
  if (!is.null(V(graph)$type)) {

kjhealy

library(XML)
library(ggplot2)

df <- readHTMLTable("http://projects.dailycal.org/paychecker/departments/")[[1]]

DeMoney <- function(x) as.numeric(gsub(",", "", gsub("\\$", "", as.character(x))))

money.columns <- c("All", "Professor", "Associate professor", "Assistant professor", 
                   "Lecturer")

kjhealy

library(XML)
library(ggplot2)

df <- readHTMLTable("http://projects.dailycal.org/paychecker")[[1]]
colnames(df)[4] <- "Salary"
df$Salary <- as.numeric(gsub('[$,]', '', df$Salary))

p <- ggplot(df, aes(x=Department, y=Salary)) + coord_flip()
p + geom_boxplot(aes(color=Rank,
                     x=reorder(Department, Salary, FUN=max))) +

kjhealy

# Animated dplyr joins with gganimate
# * Garrick Aden-Buie
# * garrickadenbuie.com
# * MIT License: https://opensource.org/licenses/MIT

# Note: I used Fira Sans and Fira Mono fonts.
#       Use search and replace to use a different font if Fira is not available.

library(tidyverse)
library(gganimate)

kjhealy

## Start with the code in https://github.com/kjhealy/lexis_surface/blob/master/lexis.r
## At the bottom, the `fra_surface` object is done in 3D with the `plotly` library. We can 
## also do it with `rayshade`:

library(rayshader)

## rayshade wants the axes a little differently from plotly
## but like plotly it wants a matrix.

fra_surf <- fra_surf[c(1:201),c(100:1)]