rich-iannone

# Install the latest version of DiagrammeR from GitHub
devtools::install_github("rich-iannone/DiagrammeR")

# Ensure that the package is loaded
library("DiagrammeR")

# So, here's a script that essentially takes an empty graph series, and
# creates a new graph on each new day it is triggered. It will create
# random nodes each time it's triggered and add those nodes to the graph
# belonging to the current day. Throughout the script, '_SELF_' refers

hrbrmstr

library(rgdal)
library(rgeos)
library(ggplot2)
library(readr)
library(tidyr)
library(dplyr)
library(grid)

us <- readOGR("us_states_hexgrid.geojson", "OGRGeoJSON")

jebyrnes

#devtools::install_github("rstudio/leaflet", ref="feature/color-legend")
library(leaflet)
library(RColorBrewer)
set.seed(100)
pdf <- data.frame(Latitude = runif(100, -90,90), Longitude = runif(100, -180,180))

#make a property with colors
pdf$Study <- rep(1:10,10)

#need to create a pal using colorbin

noamross

### 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
###

brendansudol

(function(){

var margin = {
        top: 20,
        right: 40,
        bottom: 50,
        left: 40
    },
    width = 660 - margin.left - margin.right,
    height = 340 - margin.top - margin.bottom;

jalapic

### Cumulative Golf Major Winners

library(XML)

masters <- readHTMLTable("http://en.wikipedia.org/wiki/Masters_Tournament")
masters <- masters[[4]][,1:2]

usopen <- readHTMLTable("http://en.wikipedia.org/wiki/U.S._Open_(golf)")
usopen <- usopen[[2]][,1:2]

timelyportfolio

As I read the TraMineR vignette, I thought this state sequence diagram would be an interesting use case for rcdimple. I'll throw in a little ggplot2, dplyr, tidyr, and pipeR for free.

See the live example.

hrbrmstr

library(rvest)
library(magrittr)
library(ggplot2)
library(dplyr)
library(tidyr)
library(scales)

# get page

pg <- html("http://www.bls.gov/opub/ted/2015/consumer-spending-by-age-group-in-2013.htm#tab-2")

timelyportfolio

# Obtain 'dogs.csv'
# Created by Alex Bresler, available at:
# https://github.com/abresler/abresler.github.io/blob/master/blog/2015/february/exploring_agility_show/data/dogs.csv
dat_url <- "http://asbcllc.com/blog/2015/february/exploring_agility_show/data/dogs.csv"
dogs <- read.csv(dat_url, header = TRUE, stringsAsFactors = FALSE)


library(shiny)
# Install the latest DiagrammeR package from GitHub
#  devtools::install_github("rich-iannone/DiagrammeR")

hrbrmstr

library(dplyr)
library(streamgraph)
library(pbapply)

# Grab some employment data from BLS --------------------------------------

url <- "http://www.bls.gov/lau/ststdsadata.txt"
dat <- readLines(url)

# Small function to grab data for a particular state ----------------------