sckott

geojsonio has two ways to validate geojson (specifically geojson, not json structure itself). Via a web API from geojsonlint, or locally using the Mapbox's javascript geojsonhint library (included in the package).

Both can act directly on many different inputs, including character strings, lists, data.frame's, all the sp class spatial objects.

Install and load

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 ----------------------

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(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

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.

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]

brendansudol

(function(){

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

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: [email protected]
###	Twitter: @michaeljkoontz
###

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

hrbrmstr

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

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