From: Nathan TeBlunthuis Date: Thu, 26 May 2022 09:01:27 +0000 (-0700) Subject: fix fontawesome issue X-Git-Url: https://code.communitydata.science/ml_measurement_error_public.git/commitdiff_plain/6057688060b5bf2a94f2b96b65b275a91991c0f3?hp=ad66d9093b213e69dcda23186c4e84e62b6d8f44 fix fontawesome issue --- 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)