groceryheist/ml_measurement_error_public
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fix fontawesome issue

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Nathan TeBlunthuis 2022-05-26 02:01:27 -07:00
parent ad66d9093b
commit 6057688060
1 changed files with 9 additions and 5 deletions
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presentations/ica_hackathon_2022/ica_hackathon_2022.Rmd
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@ -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 = {
<img src="images/nu_logo.png" height="170px" style="padding:21px"/> <img src="images/uw_logo.png" height="170px" style="padding:21px"/> <img src="images/cdsc_logo.png" height="170px" style="padding:21px"/>
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)
<i class="fa fa-envelope" aria-hidden='true'></i> nathan.teblunthuis@northwestern.edu
`r icons::fontawesome("envelope")` nathan.teblunthuis@northwestern.edu
<i class="fa fa-twitter" aria-hidden='true'></i> @groceryheist
`r icons::fontawesome("twitter")` @groceryheist
<i class="fa fa-globe" aria-hidden='true'></i> [https://communitydata.science](https://communitydata.science)
`r icons::fontawesome("globe")` [https://communitydata.science](https://communitydata.science)