update TOC for the last time...

Author: josesho

README.md

@@ -20,7 +20,7 @@
 
 <!-- /TOC -->
 
-# About
+## About
 
 DABEST is a package for **D**ata **A**nalysis using **B**ootstrap-Coupled **EST**imation.
 
@@ -37,7 +37,7 @@ An estimation plot has two key features.
 DABEST powers [estimationstats.com](https://www.estimationstats.com/), allowing everyone access to high-quality estimation plots.
 
 
-# Installation
+## Installation
 
 This package is tested on Python 3.5, 3.6, 3.7, and 3.8.
 It is highly recommended to download the [Anaconda distribution](https://www.continuum.io/downloads) of Python in order to obtain the dependencies easily.
@@ -62,7 +62,7 @@ pip install .
 ```
 
 
-# Usage
+## Usage
 
 ```python3
 import pandas as pd
@@ -83,7 +83,7 @@ iris_dabest.mean_diff.plot();
 Please refer to the official [tutorial](https://acclab.github.io/DABEST-python-docs/tutorial.html) for more useful code snippets.
 
 
-# How to cite
+## How to cite
 
 **Moving beyond P values: Everyday data analysis with estimation plots**
 
@@ -94,30 +94,30 @@ Nature Methods 2019, 1548-7105. [10.1038/s41592-019-0470-3](http://dx.doi.org/10
 [Paywalled publisher site](https://www.nature.com/articles/s41592-019-0470-3); [Free-to-view PDF](https://rdcu.be/bHhJ4)
 
 
-# Bugs
+## Bugs
 
 Please report any bugs on the [Github issue tracker](https://github.com/ACCLAB/DABEST-python/issues/new).
 
 
-# Contributing
+## Contributing
 
 All contributions are welcome; please read the [Guidelines for contributing](https://github.com/ACCLAB/DABEST-python/blob/master/CONTRIBUTING.md) first.
 
 We also have a [Code of Conduct](https://github.com/ACCLAB/DABEST-python/blob/master/CODE_OF_CONDUCT.md) to foster an inclusive and productive space.
 
 
-# Acknowledgements
+## Acknowledgements
 
 We would like to thank alpha testers from the [Claridge-Chang lab](https://www.claridgechang.net/): [Sangyu Xu](https://github.com/sangyu), [Xianyuan Zhang](https://github.com/XYZfar), [Farhan Mohammad](https://github.com/farhan8igib), Jurga Mituzaitė, and Stanislav Ott.
 
 
-# Testing
+## Testing
 
 To test DABEST, you will need to install [pytest](https://docs.pytest.org/en/latest).
 
 Run `pytest` in the root directory of the source distribution. This runs the test suite in the folder `dabest/tests`. The test suite will ensure that the bootstrapping functions and the plotting functions perform as expected.
 
 
-# DABEST in other languages
+## DABEST in other languages
 
 DABEST is also available in R ([dabestr](https://github.com/ACCLAB/dabestr)) and Matlab ([DABEST-Matlab](https://github.com/ACCLAB/DABEST-Matlab)).