332. Data Viz Project 333. Small multiples for the German elections 2017 334. Germany’s election and the trouble with correlation 335. Developing a data visualisation style 336. The Python Graph Gallery 337. 4 Tools to Pick Your Chart Colors 338. Introduction to Network Analysis with R 339. Switching from Base R to tidyverse 340. Hierarchical […]
Category: statistics
Introduktion til R
Tilbage i sommeren 2016 stablede jeg en endagsworkshop på benene for de af mine studerende, der gerne ville lære at bruge R. Da det er begrænset, hvor meget man kan lære i R over nogle timer en sommerdag i juni, valgte jeg at skrive en lille guide til de studerende, som de kunne tage brug […]
A dataset with political datasets
I am working on an overview of political datasets (as usual, old news for the people following me on Twitter). My aim is to collect as many datasets as possible of relevance to political science students and researchers. You can find the dataset here (in different file formats). The dataset has datasets related to cabinets, […]
Nyt bogkapitel: Logistisk regression med binært udfald
Har skrevet et kapitel om binær logistisk regressionsanalyse til den nye bog, Videregående kvantitative metoder. Bogen er redigeret af M. Azhar Hussain og Jørgen Trankjær Lauridsen, der begge har gjort et fantastisk stykke arbejde. Kapitel 3, Logistisk regression med binært udfald, giver en introduktion til, hvordan man gennemfører logistiske regressionsanalyser. Helt konkret beskrives tre procedurer, […]
Potpourri: Statistics #40
324. Data Visualization for Social Science: A practical introduction with R and ggplot2 325. ‘One-size-fits-all’ threshold for P values under fire 326. Be careful not to control for a post-exposure covariate 327. Using causal graphs to understand missingness and how to deal with it 328. Applied Econometrics: Causal Inference and Research Design 329. Data in […]