Adam Garcia adam-garcia

## bmr.js
// JS Code Goes here

## config.json
{
  "vars": {
    "@gray-base": "#1D1D1D",
    "@gray-darker": "lighten(@gray-base, 13.5%)",
    "@gray-dark": "lighten(@gray-base, 20%)",
    "@gray": "lighten(@gray-base, 33.5%)",
    "@gray-light": "lighten(@gray-base, 46.7%)",
    "@gray-lighter": "lighten(@gray-base, 93.5%)",
    "@brand-primary": "#2769b0",
    "@brand-success": "#3bc651",

## .block
license: gpl-3.0

## index.html
<!DOCTYPE html>
<html lang="en">
<head>

  <!-- Basic Page Needs
  –––––––––––––––––––––––––––––––––––––––––––––––––– -->
  <meta charset="utf-8">
  <title>Referral Button</title>
  <meta name="description" content="">
  <meta name="author" content="">

## defaultmsg.txt
My school is participating in the New Balance Foundation Billion Mile Race, which is challenging America’s schools to collectively walk, jog, and run one billion miles! Will your school join, too?

It’s free and easy to participate. Plus, schools that contribute miles to the national goal are eligible for cool grants and prizes!

Watch this video (https://www.youtube.com/watch?v=PZq_FPqllNs) to learn more and enroll at http://BillionMileRace.org. If you have questions, you can email the Billion Mile Race team at billionmilerace@tufts.edu. I hope you’ll join today!

## dashboard_analysis.R
library(knitr)


# Load Data
dates <- c('Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec')
Tokyo <- c(7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6)
London <- c(3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8)

# Calculate an average
mean_of_Tokyo <- mean(Tokyo)

## index.html
<!DOCTYPE html>
<html lang="en">
<head>
  <!-- Basic Page Needs
  –––––––––––––––––––––––––––––––––––––––––––––––––– -->
  <meta charset="utf-8">
  <title>6/1 CommunityCommons</title>
  <meta name="description" content="">
  <meta name="author" content="Adam Garcia">
  <!-- Mobile Specific Metas

## README.md

      
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              July 26, 2016 19:33
            
              
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    Project Information


## hill


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                                                        HHHHHH

## extract_numeric.sas
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
**                                                                             *
** extract_numeric.sas                                                         *
**     purpose: extract numeric component from string                          *
**     todo: leading strings break pattern                                     *
**                                                                             *
`* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */


data strings;
	{
	"vars": {
	"@gray-base": "#1D1D1D",
	"@gray-darker": "lighten(@gray-base, 13.5%)",
	"@gray-dark": "lighten(@gray-base, 20%)",
	"@gray": "lighten(@gray-base, 33.5%)",
	"@gray-light": "lighten(@gray-base, 46.7%)",
	"@gray-lighter": "lighten(@gray-base, 93.5%)",
	"@brand-primary": "#2769b0",
	"@brand-success": "#3bc651",
	<!DOCTYPE html>
	<html lang="en">
	<head>

	<!-- Basic Page Needs
	–––––––––––––––––––––––––––––––––––––––––––––––––– -->
	<meta charset="utf-8">
	<title>Referral Button</title>
	<meta name="description" content="">
	<meta name="author" content="">
	My school is participating in the New Balance Foundation Billion Mile Race, which is challenging America’s schools to collectively walk, jog, and run one billion miles! Will your school join, too?

	It’s free and easy to participate. Plus, schools that contribute miles to the national goal are eligible for cool grants and prizes!

	Watch this video (https://www.youtube.com/watch?v=PZq_FPqllNs) to learn more and enroll at http://BillionMileRace.org. If you have questions, you can email the Billion Mile Race team at billionmilerace@tufts.edu. I hope you’ll join today!
	library(knitr)


	# Load Data
	dates <- c('Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec')
	Tokyo <- c(7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6)
	London <- c(3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8)

	# Calculate an average
	mean_of_Tokyo <- mean(Tokyo)
	/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
	** *
	** extract_numeric.sas *
	** purpose: extract numeric component from string *
	** todo: leading strings break pattern *
	** *
	`* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */


	data strings;