Seinfeld (1989–1998) er en fremragende sitcom. Sammen med serier som Frasier (1993-2004) og Friends (1994-2004) står den som en af de stærkeste komedieserier fra 90’erne, der stadig kan ses i 2017. For nyligt valgte jeg at gense seriens 173 afsnit, der er fordelt over 9 sæsoner, og jeg kan kun anbefale, at man får den […]
Tag: statistik
Potpourri: Statistik #35
275. How to better communicate election forecasts — in one simple chart 276. What data patterns can lie behind a correlation coefficient? 277. Electoral Vote Prediction Map in R 278. Plotly R cheat sheet 279. Stata Figure Schemes Latest version + inclusion in Stata’s SSC archive 280. The hard road to reproducibility 281. Equivalence, non-inferiority […]
Potpourri: Statistik #34
266. Efficient R programming 267. 13 Tips For Reading General Election Polls Like A Pro 268. Visualising Residuals 269. Not So Standard Deviations: Episode 21 – This Might Be the Future! 270. Exploring Fitness Data in R 271. When Did Charts Become Popular? 272. What has happened down here is the winds have changed 273. […]
Potpourri: Statistik #33
257. Survey Experiments in Practice: #1, #2, #3, #4, #5 258. FiveThirtyEight’s data journalism workflow with R 259. Text Mining with R on Vikings episode scripts 260. A List of ggplot2 extensions 261. The viridis color palettes 262. Learn R online – A curated list of online courses on R 263. Stop Using Google Trends […]
Potpourri: Statistik #31
232. A FiveThirtyEight-inspired theme for ggplot2 233. Comparing ggplot2 and R Base Graphics 234. List of useful RStudio addins made by useRs 235. Creating a LOESS animation with gganimate 236. interplot: Plot the Effects of Variables in Interaction Terms 237. How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical […]
Potpourri: Statistik #28 (Python)
208. Python for Political Scientists, Spring 2013 Recap 209. Evaluating Scripting Languages: How Python Can Help Political Methodologists 210. A Byte of Python 211. 11 Python Libraries You Might Not Know 212. Seaborn: statistical data visualization 213. Beers for Citations 214. 29 common beginner Python errors on one page
Potpourri: Statistik #26
187. The fallacy of placing confidence in confidence intervals 188. Soc 880: Data Visualization 189. Miriah Meyer’s Visualization course 190. Data Analysis and Visualization Using R 191. Checking your Stats, and Some Errors we Make 192. Multiple hypothesis testing 193. How to p-hack 194. A Practical Guide to Regression Discontinuity Designs in Political Science 195. […]
Potpourri: Statistik #20
146. The AJPS Replication Policy: Innovations and Revisions 147. Underreporting in Political Science Survey Experiments: Comparing Questionnaires to Published Results 148. A Compendium of Clean Graphs in R 149. Bringing the Gold Standard into the Classroom: Replication in University Teaching 150. Awesome Public Datasets 151. Using Bayes Factors to Get the Most out of Linear […]
Potpourri: Statistik #10
63. Matching Madness: Causal Inference in Political Methodology 64. Too Good to Be True (læs også dette, dette og dette) 65. Code and Data for the Social Sciences: A Practitioner’s Guide (ht @FrederikHjorth) 66. Using Version Control with RStudio 67. Easy pictograms using R 68. Creating publication quality graphs in R 69. Plotting Likert-Scales (net […]
Kvalitetsvægtede gennemsnit af meningsmålinger og statistisk usikkerhed
Meningsmålinger er desværre ikke altid så præcise som journalister gør dem til. Står Enhedslisten til at få 14,9 pct. af stemmerne i en meningsmåling, er det som bekendt et kvalificeret gæt. Når medierne angiver partiernes procentvise andel af stemmerne helt ned til én decimial, sælger det blot en illusion om præcision. Så længe vi ikke […]