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# Load imports
library(rbounds)
library(rgenoud)

# Load data
data(lalonde)
attach(lalonde)

# Create data objects
Y <- lalonde$re78

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##### DO NOT "SELECT ALL" AND EXECUTE THIS CODE ALL AT ONCE!!!
##### EXECUTE LINE-BY-LINE AND THINK ABOUT WHAT EACH LINE IS DOING.
##### RAISE YOUR HAND IF YOU HAVE QUESTIONS.

##### YOU SHOULD BE ABLE TO USE JUPYTER FOR THIS, KERNEL = R (R-PROJECT)

# If you have not done so already, install the "arm" package and load the library

install.packages("arm")

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##### DO NOT "SELECT ALL" AND EXECUTE THIS CODE ALL AT ONCE!!!
##### EXECUTE LINE-BY-LINE AND THINK ABOUT WHAT EACH LINE IS DOING.
##### RAISE YOUR HAND IF YOU HAVE QUESTIONS.

##### YOU SHOULD BE ABLE TO USE JUPYTER FOR THIS, KERNEL = R (R-PROJECT)

# If you have not done so already, install the "arm" package and load the library

install.packages("arm")

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library(Matching)
data(lalonde)

run_iter_maching <- function(data, iters = 3) 
{
  
  # Setting up variables
  sample <- data
  ctrls <- list()
  treats <- list()

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# Quiz 2 -- More R Coding...

## This quiz covers competencies you should know by the first day of class.
## The first ten questions are intended to be basic.
## The final five questions are more advanced.
## An answer key will be provided by Monday, Aug 12.

## NOTE: Most students find it helpful to code in R using R-Studio.
## This involves installing R, and installing R-Studio, and then 
## running R-Studio. Google it if you run into problems, and 

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