I use ggplot2 every day. It is a great R package and the best tool available to make beautiful data visualisations. The logic of grammar of graphics makes it easy to learn as well as making it possible for you to gradually improve your plots. Luckily, there are a lot of resources available for the […]
Tag: R
Potpourri: Statistics #58
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 […]
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 […]
Teaching material: Quantitative Politics with R
If you are interested in learning R, I can recommend this resource: Quantitative Politics with R. It is a guide in development (together with Zoltán Fazekas). In the current version, you will find an introduction to the basics of R (e.g. how to import and manipulate data), how to collect political data (primary and secondary […]
Potpourri: Statistics #51
441. 2018 in Graphics: Bloomberg, FiveThirtyEight, Reuters, Nathan Yau 442. Survey Raking: An Illustration 443. textrecipes 0.0.1 444. Topics in Econometrics: Advances in Causality and Foundations of Machine Learning 445. Learning Statistics with R 446. EDUC 263: Introduction to Data Management Using R 447. Practical R for Mass Communication and Journalism: How Do I? … […]
Potpourri: Statistics #50
431. Generating data to explore the myriad causal effects that can be estimated in observational data analysis 432. A Practical Guide to Mixed Models in R 433. Ask the Question, Visualize the Answer 434. Statistical Rethinking with brms, ggplot2, and the tidyverse 435. Twitter, political ideology & the 115th US Senate 436. You Can’t Test […]
Potpourri: Statistics #49
416. QuantText: A text-as-data page for political science research 417. pollofpolls: R package for calculating poll of polls 418. Best of the visualisation web… June 2018 419. Custom themes in ggplot2 420. DeclareDesign: Declaring and Diagnosing Research Designs 421. A personal essay on Bayes factors 422. Readings on Visualizing Uncertainty 423. p-hacker: Train your p-hacking […]
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 […]
Meningsmålinger i R med pollsDK
En ny pakke til R, pollsDK, giver mulighed for let at hente danske meningsmålinger ind i R. Pakken er lavet af Mikkel Krogsholm og installeres og indlæses vha. følgende (forudsætter at man har devtools-pakken installeret): [code language=”r”] devtools::install_github("56north/pollsDK") library("pollsDK") [/code] Pakken er nem at bruge og giver blandt andet mulighed for at hente de meningsmålinger, […]
Unik identifikationsvariabel i R og Stata
Hvis du står og mangler en identifikationsvariabel i dit datasæt/din data frame, altså en variabel hvor hver række har en unik værdi, er det heldigvis nemt at lave dette i R såvel som i Stata. I R overskriver du blot din data frame (i dette tilfælde kaldt din.dataframe) med en ny data frame, der har […]