ajp619

R Markdown, Population Sampling, & Confidence Intervals
========================================================
Topics:
* Introduce R Markdown

* **Gain an intuitive understanding of the errors we introduce when we look at subsets of an entire population through:**  
* population sampling  
  * linear models (coefficients, residuals, fitted.values)  
  * smoothScatter (example)
* confidence intervals

ajp619

import timeit

def func(x, y):
    return x**2 + y**2


def wrapper(func, *args, **kwargs):
    """This enables using a function with arguments with timeit"""
    def wrapped():
        return func(*args, **kwargs)

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### poly

How does poly work?
```{r}
a <- 1:10

# Let's start easy
p <- poly(a, 3, raw=TRUE)
p
# This is easy to reproduce

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---
title: "IS 609 Homework 4"
author: "Aaron Palumbo"
date: "Saturday, September 20, 2014"
output: pdf_document
---

Homework 4:

## Page 191: #3

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# silly utility to launch a qtconsole if one doesn't exist

consoleFlag = True
consoleFlag = False  # Turn on/off by commenting/uncommenting this line

import psutil

def returnPyIDs():
    pyids = set()
    for pid in psutil.pids():

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Entire R script  
'''{r code=capture.output(cat(readLines('clustering_library.R'), sep='\n'))}  
'''  

A single function  
'''{r code=capture.output(dump('initBuckets', ''))}  
'''  

note: replaced back ticks with forward ticks so the options would show up instead of being hidden.

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def pyprint(myfile, lexer_override=""):
    from pygments import highlight
    from pygments.lexers import PythonLexer, guess_lexer, get_lexer_by_name
    from pygments.util import ClassNotFound
    from pygments.formatters import HtmlFormatter
    import IPython
    
    try:
        with open(myfile) as f:
            code = f.read()

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<div>
  <button onclick="evaluateTags(this.parentElement)"
          style="background-color:lightgreen">Run cells with tag</button>
  <!-- SET TAG NAME BELOW: value="tagName" -->
  <input type=text value="tagName">
</div>
<script>
function evaluateTags(divElement) {
  d3.select(divElement).select("button").attr("style", "background-color:indianred")
  d3.select(divElement).selectAll("p").remove()

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a = np.array([[1, 2, 3]])
np.mat(a) * np.mat(a).T  # this can continue ...

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def decorator_generator(**kw_dict):
    def decorator(fun):
        def decorated(*args, **kwargs):
            kwargs.update(kw_dict)
            return fun(*args, **kwargs)
        return decorated
    return decorator

@decorator_generator(c=3)
def foo(a, c):