ajp619

### 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

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)

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