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Fixing links for dags #1

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8 changes: 4 additions & 4 deletions example/dags.qmd
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Expand Up @@ -15,7 +15,7 @@ This video shows how to use it:

## DAGs with R, ggdag, and dagitty

You can use the [**ggdag**](https://ggdag.malco.io/) and [**dagitty**](http://dagitty.net/primer/) packages in R to build and work with DAGs too. I typically draw an initial DAG in my browser with dagitty.net and then I rewrite it in code in R so that it's more official and formal and reproducible.
You can use the [**ggdag**](https://r-causal.github.io/ggdag/index.html) and [**dagitty**](http://dagitty.net/primer/) packages in R to build and work with DAGs too. I typically draw an initial DAG in my browser with dagitty.net and then I rewrite it in code in R so that it's more official and formal and reproducible.

### Live coding example

Expand Down Expand Up @@ -43,9 +43,9 @@ library(dagitty) # For working with DAG logic

The general process for making and working with DAGs in R is to create a DAG object with `dagify()` and then plot it with `ggdag()`. The documentation for **ggdag** is really good and helpful and full of examples. Check these pages for all sorts of additional details:

- ["An introduction to ggdag"](https://ggdag.malco.io/articles/intro-to-ggdag.html)
- ["An introduction to directed acyclic graphs"](https://ggdag.malco.io/articles/intro-to-dags.html)
- [List of all ggdag-related functions](https://ggdag.malco.io/reference/index.html)
- ["An introduction to ggdag"](https://r-causal.github.io/ggdag/articles/intro-to-ggdag.html)
- ["An introduction to directed acyclic graphs"](https://r-causal.github.io/ggdag/articles/intro-to-dags.html)
- [List of all ggdag-related functions](https://r-causal.github.io/ggdag/reference/index.html)

The syntax for `dagify()` is similar to the formula syntax you've been using for building regression models with `lm()`. The formulas you use in `dagify()` indicate the relationships between nodes.

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