bbdaniels

Automatically include link to current git commit/SHA in compiled LaTeX pdf

This code lets you include an automatically updating link in a LaTeX compiled document that points to the last commit in the branch currently checked out in the repository where the .tex file used to compile the documents is saved. This allows you to track exactly which version of your .tex file was used to generate a given PDF.

Using Git you can then go back to the exact code used when compiling any saved or printed version of your document you find, no matter how long ago it was compiled. The commit SHA (the unique commit ID) will automatically update each time there is a new commit

bbdaniels

* Intervals program

cap prog drop intervals
		prog def  intervals
		syntax anything [if] [in] [pweight], [Binary]
			marksample touse
			
	preserve
		qui keep if `touse'

bbdaniels

// Get arbitrary loadings

// Data
sysuse auto.dta , clear
local variables length mpg price rep78

// Get labels
foreach var of varlist `variables' {
  local `var' : var label `var'
}

bbdaniels

tempname a b c

tw (function 1.4*sqrt((2/x)+(2/x)) , range(300 600) lc(red)) ///
   (function 1.4*sqrt((3/x)+(3/(2*x))) , range(300 600) lc(red) lp(dash)) ///
   (function sqrt(1/x) , range(300 600) lc(black) ) ///
 , yscale(r(0)) ytit(" ") xtit("Number of Providers") ///
   title("Within Case") ///
   ylab(0 .05 "5p.p." .1 "10p.p." .15 "15p.p." .2 "20p.p.") ///
   legend(on c(1) pos(9) ///
     order( ///

bbdaniels

clear

set obs 100

gen y = runiform() * 3
gen x = runiform() * 3

tw ///
  (scatter x y) ///
  (scatter x y , m(none) yaxis(2) xaxis(2)) ///

bbdaniels

// Demo code for creating simple regression table

sysuse auto.dta, clear


  // Run regressions
    reg price weight
      su price if e(sample)
      estadd scalar mean = r(mean)
      est sto reg1

bbdaniels

// Simulation 1: Big effects from small RCTs

cap mat drop results
qui forv iter = 1/1000 {

  clear
    set obs 10000

    gen x = rnormal() > 0
    gen e = rnormal() * 4

bbdaniels

									*Part I*
*** Setup
	clear all //clear any open datasets
	cls //clear the screen
	version 15
	set more off
	set linesize 255
	
*** Generating a random varibale 
	set obs 100000

bbdaniels

forv i = 1/26 {
  local theLetter : word `i' of `c(ALPHA)'
  di "`theLetter'"
}

bbdaniels

clear // Reset the work space
set obs 100000 // Create empty units of observation
set seed 837169 // Fix randomization start point

// Generate ability scores 0-100
gen theta = 100*runiform()

// Fix parameters
local a = 100
local b = 2