Link to the installation page.

yeatmanlab · Nov 13, 2023 · 37df365 · 37df365
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diff --git a/docs/source/howto/installation_guide.rst b/docs/source/howto/installation_guide.rst
@@ -53,8 +53,8 @@ On some platforms, you may need to add quotes around the ``.[]`` part::
 
 .. note::
 
-  Some of the examples in the documentation require additional dependencies. To install these, you can run `pip 
-  install pyAFQ[plot]`, which will include visualization tools that are required in these examples. For examples 
+  Some of the examples in the documentation require additional dependencies. To install these, you can run `pip
+  install pyAFQ[plot]`, which will include visualization tools that are required in these examples. For examples
   involving the cloudknot distributed computing library, you will also need to set up an [AWS account]([Create Account - aws.amazon.com](https://aws.amazon.com/resources/create-account/)) and have [docker](https://www.docker.com/) installed.
 
 

diff --git a/docs/source/tutorials/index.rst b/docs/source/tutorials/index.rst
@@ -1,7 +1,7 @@
 Getting started with pyAFQ
 --------------------------
 
-After you :ref:`_installation_guide`_ the software, you can start using pyAFQ to analyze your data.
+After you :doc:`install </howto/installation_guide>` the software, you can start using pyAFQ to analyze your data.
 
 pyAFQ assumes that preprocessed diffusion MRI data is organized according to
 the BIDS standard.