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Statistics lecture notes

Python 0.96% Jupyter Notebook 90.16% TeX 8.55% CSS 0.13% JavaScript 0.14% Makefile 0.05% HTML 0.01%

stats-lecture-notes's Introduction

STATS 306B / 191 Notebooks

This repo collects course material for STATS306B and STATS191, taught by Jonathan Taylor at Stanford.

The notebooks presume you are running in a certain ipython profile which is setup in ./profile_stats.

To check dependencies, and install this profile, run:

python check_install.py

from the terminal. This will, among other things, copy the profile_stats folder to your ~/.ipython directory, to give you an ipython profile called stats

To run the notebooks, change directory to the folder containing the notebooks and run ipython notebook --profile=stats from the command line.

knitr magic

Besides a custom .css, the stats ipython profile provides a new cell_magic %%knitr which produces R output as if run through knitr.

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