572. Mastering R presentations 573. The Little Handbook of Statistical Practice 574. Create regular expressions easily 575. Data Integrity Tests for R 576. Quantitative Economics with Python 577. Doing Meta-Analysis in R: A Hands-On Guide 578. Appreciating R: The Ease of Testing Linear Model Assumptions 579. Just Quickly: The unexpected use of functions as arguments […]
Category: statistics
Logistisk regression
Logistisk regression er en statistisk model, der anvendes, når vi ikke har en kontinuerlig afhængig variabel, men eksempelvis en binær afhængig variabel. Vi vil her fokusere på en binær logistisk regression. Dette er relevant når vi vil undersøge om en borger stemte ved et valg, om et land er i krig eller ej, om en […]
A Guide to Getting International Statistics into R
In political science, some of the data we use is from international databases such as the World Bank, ILOSTAT, OECD, WHO and Eurostat. One possibility to access data from these sources is to manually download data from their webpages. This is, however, often time-consuming and not an efficient way to obtain data. Luckily, there are […]
Seven ways to find data
Data might be the new oil (there are arguments for and against this). While there definitely is a lot of data out there for you to drill, it can be difficult to find the exact data you need. In this post I will outline seven different strategies to 1) keep yourself updated on new data […]
Potpourri: Statistics #57
545. Keep It Together: Using the tidyverse for machine learning 546. Learn to purrr 547. Mastering Shiny 548. A Comprehensive List of Handy R Packages 549. The challenges of using machine learning to identify gender in images 550. How is polling done around the world? 551. How to Get Better at Embracing Unknowns 552. Drawing […]