Prabhas Pokharel prabhasp

## PlotDKs.R
get_dk_reason <- function(df) {
    dk <- names(df)[str_detect(names(df), "dont")]
    llply(df[dk], function(x) { as.character(na.exclude(x)) })
}
plot_percent_dks <- function(dk_list, N) {
    # d will be a list of question name and length
    d <- ldply(dk_list, length)
    # order the data frame
    d <- arrange(d, V1)
    # divide by N (which is supposed to be total responses

## index.Rmd
<link href="http://kevinburke.bitbucket.org/markdowncss/markdown.css" rel="stylesheet">

Finding indicator dependencies
========================================================
I had been meaning to look into R's metaprogramming features for a while now. I finally had a chance today (thanks [Hadley](http://adv-r.had.co.nz/)!), and I used it to experiment towards a problem that had been in the back of my mind for a while: finding depencies within indicator definitions.

Below, I implement a find dependencies function, which takes a set of indicators, and finds dependencies within it. Indicators are fields within a dataset, some of which are already there, and some of which are newly created. The dependency finding problem is investigating which new indicators derive from which existing ones. We think of these relationships as dependencies: for an indicator such as pupil-to-teacher-ratio (defined as the number-of-pupils divided by the number-of-teachers), pupil-to-teacher-ratio is dependent on number-of-pupils

## headshot.jpg

      
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                prabhasp
                / headshot.jpg
            
            
              Last active
              January 24, 2017 06:29
            
              
                Re-color your images, Shepard Fairey-ish style
              
          
## yatayat_flipped.json

      
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                prabhasp
                / yatayat_flipped.json
            
            
              Created
              March 5, 2015 14:57
            
          
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## index.html
<!DOCTYPE html>
<html>
<head>
<title>Foo</title>
<meta charset='utf-8' />
<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0' />
<style type='text/css'>
body {
  background:#000;
  color:#fff;

## KTMJS.md

      
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                prabhasp
                / KTMJS.md
            
            
              Last active
              August 29, 2015 14:18
            
          
    KTMJS Talk by @prabhasp

  
## index.html
<!DOCTYPE html>

<html xmlns="http://www.w3.org/1999/xhtml">

<head>

<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
	get_dk_reason <- function(df) {
	dk <- names(df)[str_detect(names(df), "dont")]
	llply(df[dk], function(x) { as.character(na.exclude(x)) })
	}
	plot_percent_dks <- function(dk_list, N) {
	# d will be a list of question name and length
	d <- ldply(dk_list, length)
	# order the data frame
	d <- arrange(d, V1)
	# divide by N (which is supposed to be total responses
	<link href="http://kevinburke.bitbucket.org/markdowncss/markdown.css" rel="stylesheet">

	Finding indicator dependencies
	========================================================
	I had been meaning to look into R's metaprogramming features for a while now. I finally had a chance today (thanks [Hadley](http://adv-r.had.co.nz/)!), and I used it to experiment towards a problem that had been in the back of my mind for a while: finding depencies within indicator definitions.

	Below, I implement a find dependencies function, which takes a set of indicators, and finds dependencies within it. Indicators are fields within a dataset, some of which are already there, and some of which are newly created. The dependency finding problem is investigating which new indicators derive from which existing ones. We think of these relationships as dependencies: for an indicator such as pupil-to-teacher-ratio (defined as the number-of-pupils divided by the number-of-teachers), pupil-to-teacher-ratio is dependent on number-of-pupils
	<!DOCTYPE html>
	<html>
	<head>
	<title>Foo</title>
	<meta charset='utf-8' />
	<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0' />
	<style type='text/css'>
	body {
	background:#000;
	color:#fff;
	<!DOCTYPE html>

	<html xmlns="http://www.w3.org/1999/xhtml">

	<head>

	<meta charset="utf-8">
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
	<meta name="generator" content="pandoc" />