Potpourri: Statistics #84

May 15, 2022
  1. Introduktion til R1260. Improving Your Statistical Inferences1261. Dataviz Inspiration1262. A guide to modeling outcomes that have lots of zeros with Bayesian hurdle lognormal and hurdle Gaussian regression models1263. The Effects of Regularization and Data Augmentation are Class Dependent1264. latentcor: An R Package for estimating latent correlations from mixed data types1265. The biggest misconception in data visualization1266. ~~6 Lessons that I learned from teaching R to non-programmers~~1267. Reordering Bar and Column Charts with ggplot2 in R1268. Best Practices for Visualizing Your Cluster Results1269. The Importance of Data Splitting1270. #30DayChartChallenge - Theme Day: Financial Times1271. Indexing Iterations with set_names()1272. Normative rating dataset of single-word humor1273. A *simple* introduction to ggplot2 (for plotting your data!)1274. ~~Analyze your Twitter timeline with {rtweet} and {lubridate}~~1275. Democratizing access to large-scale language models with OPT-175B1276. Financial Times Visual Vocabulary1277. Awesome Standard ML1278. Do you know where your survey data come from?1279. Regex for beginners - detect!1280. Learning DAGs with Continuous Optimization1281. Open-source tutorials benefit the field1282. Explaining base rate neglect1283. The basics of prototyping and exporting your plots in R1284. The Three Mental Models Model for Data Visualization1285. Prisma's Data Guide1286. Three packages that port the tidyverse to Python1287. An online interface for associating latitude/longitude coordinates with administrative units1288. RMarkdown: reproducible reporting1289. #30DayChartChallenge 2022, USGS edition1290. RStudio Community Table Gallery1291. Algorithms for Decision Making1292. MLDataR - Real-world Datasets for Machine Learning Applications1293. Bayesian analyses made easy: GLMMs in R package brms1294. Reflections on ML models of first impressions1295. Introduction to Causal Inference1296. Building R packages1297. What I've learnt about making an R package1298. R package primer: a minimal tutorial1299. Comprehensive, original, insightful, and otherwise interesting data science blogs1300. Are R loops really that slow?1301. Storytelling in ggplot using rounded rectangles1302. Not so standard evaluations1303. A bare minimum for open empirical data1304. A Stata command for bi-variate maps1305. 2021 Local Elections Handbook and dataset1306. Getting started with NLP for absolute beginners1307. Word2Vec Explained1308. Regular expressions in R

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Erik Gahner Larsen
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