nitingupta2

Assuming you have:

1. A website built using blogdown and Hugo
2. Hosted on GitHub pages, a.k.a .github.io
3. Built your blogdown website on your local machine blogdown:::serve_site(), which is generated within the public folder
4. Sync'd your local public repository to .github.io repository in your github account

You want to deploy your website to Netlify, which supports custom domains with HTTPS:

1. Sign up on Netlify with your GitHub account.

diegovalle

########################################################
#####       Author: Diego Valle Jones
#####       Website: www.diegovalle.net
#####       Date Created: Mon Mar 01 18:51:27 2010
########################################################
#1. For what foods are Americans and Mexicans outliers
#2. Partition the data around medoids to classify the 
#countries of the world according to what they eat

library(ggplot2)

mbostock

license: gpl-3.0

mmparker

Best viewed in its own window (because I haven't set up the CSS properly yet).

This is a report to enable my clinicians to easily review clinic statistics at will. Click on rows in the table to plot that statistic; click again to remove it from the plot.

Very much a work in progress, so please feel free to heap on the feedback!

Built with the rampantly awesome D3.js.

ramnathv

Problem

You have git repository with the following directory structure

myproject
|- source
|- docs
|- README.md

jennybc

## http://polygraph.cool/films/
## https://github.com/matthewfdaniels/scripts

x <- "https://raw.githubusercontent.com/matthewfdaniels/scripts/master/data/character_list5.csv"
characters <- read.csv(x, na.strings = c("NULL", "?"),
                       fileEncoding = "ISO-8859-1", stringsAsFactors = FALSE)
## some ages are clearly (negative) birth years ... oops
characters$age[!is.na(characters$age) & characters$age < 0] <- NA
characters$age[!is.na(characters$age) & characters$age > 105] <- NA

bearloga

library(shiny)
library(ggplot2)

# Download DataTables JS file and TableTools full package from http://datatables.net/download/
# Change the paths appropriately:
addResourcePath('datatables','/Users/yourusername/Downloads/DataTables-1.9.4/media')
addResourcePath('tabletools','/Users/yourusername/Downloads/TableTools-2.1.5/media')

runApp(list(
	ui = basicPage(

ramnathv

to_json = function(df, orient = "columns", json = T){
  dl = as.list(df)
  dl = switch(orient, 
    columns = dl,
    records = do.call('zip_vectors_', dl),
    values = do.call('zip_vectors_', setNames(dl, NULL))
  )
  if (json){
    dl = rjson::toJSON(dl)
  }

hadley

# A tutorial navigates through a series of states, either manually, with
# nxt(), prv(), jmp() etc, or automatically, by using addTaskCallback() and
# checking that preconditions are met.
#   
# Each state has:
#  * a message
#  * a next state (a function name)  
#    (eventually may have multiple next named states)
#  * an auto test 
#

hadley

# We first start by creating a way of escaping the characters that have special
# meaning for html, while making sure we don't end up double-escaping at any
# point. The easiest way to do this is to create an S3 class that allows us to
# distinguish between regular text (that needs escaping) and html (that
# doesn't).
#
# We then write an escape method that leaves html unchanged and escapes the
# special characters (&, <, >) in ordinary text. We also add a method for lists
# for convenience