Lab 1 @&@ R Review + Intro to RMarkdown and Overleaf @&@ Lab1/lab1_slides.pdf @&@ For this week's lab, you will need to download the following R script and datasets: <a href="http://students.washington.edu/mjjeong/mle_2025/Lab1/review_script.R">review_script.R</a>, <a href="http://students.washington.edu/mjjeong/mle_2025/Lab1/pop.csv">pop.csv</a>, and <a href="http://students.washington.edu/mjjeong/mle_2025/Lab1/gapminder.csv">gapminder.csv</a>. Here are <a href="http://students.washington.edu/mjjeong/mle_2025/Lab1/RMarkdownSample.Rmd">RMarkdown template</a>, and this week's <a href="http://students.washington.edu/mjjeong/mle_2025/Lab1/Lab1_practice.Rmd">code practice</a> exercise and <a href="http://students.washington.edu/mjjeong/mle_2025/Lab1/lab1_data.csv">data</a>. You can download all the materials in the following <a href="http://students.washington.edu/mjjeong/mle_2025/Lab1/Lab1.zip"> ZIP</a> file. You can access to the lab recording in <a href="https://washington.zoom.us/rec/share/nZvm-sXZZYx_Ib3dwZxh6xomHQwIueV7QSyU2WDEmK-VT_aJcK0yUJ9SCB1xQ7TS.MV4HYkLz0Im6xAZk">here</a> and <a href="https://washington.zoom.us/rec/share/w-Uf-VU_AX-iaIsO3Nu28jV11BcH9sOfy7bd-eKxoA9EP-k3U4WSmpKoJyvWrr0.ND6pWfGcEU-6-1l3">here</a>.