diff --git a/presentations/ica_hackathon_2022/ica_hackathon_2022.Rmd b/presentations/ica_hackathon_2022/ica_hackathon_2022.Rmd
index 91d3a2e..1439afc 100644
--- a/presentations/ica_hackathon_2022/ica_hackathon_2022.Rmd
+++ b/presentations/ica_hackathon_2022/ica_hackathon_2022.Rmd
@@ -25,6 +25,8 @@ output:
library(knitr)
library(ggplot2)
library(data.table)
+library(icons)
+
f <- function (x) {formatC(x, format="d", big.mark=',')}
theme_set(theme_bw())
@@ -50,9 +52,9 @@ window.MathJax = {
-nathan.teblunthuis@northwestern.edu
+`r icons::fontawesome('envelope')` nathan.teblunthuis@northwestern.edu
-[https://teblunthuis.cc](https://teblunthuis.cc)
+`r icons::fontawesome('globe')` [https://teblunthuis.cc](https://teblunthuis.cc)
???
@@ -428,6 +430,8 @@ layout:false
I've run simulations to test these approaches in several scenarios.
+I simulate random data, fit 100 models and plot the average estimate and its variance.
+
The model is not very good: about 70% accurate.
Most plausible scenario:
@@ -661,11 +665,11 @@ Links to slides:[html](https://teblunthuis.cc/~nathante/slides/ecological_adapta
Link to a messy git repository:[https://code.communitydata.science/ml_measurement_error_public.git](https://code.communitydata.science/ml_measurement_error_public.git)
- nathan.teblunthuis@northwestern.edu
+`r icons::fontawesome("envelope")` nathan.teblunthuis@northwestern.edu
- @groceryheist
+`r icons::fontawesome("twitter")` @groceryheist
- [https://communitydata.science](https://communitydata.science)
+`r icons::fontawesome("globe")` [https://communitydata.science](https://communitydata.science)