3,661 comparisons among 37 agents.
| Description | Pairwise comparisons between cabinet positions in Brazil |
|---|---|
| Reference | Zucco, Cesar; Batista, Mariana; Power, Timothy, 2019, "Replication Data for: Measuring portfolio salience using the Bradley-Terry model: An illustration with data from Brazil", https://doi.org/10.7910/DVN/HJZSIM, Harvard Dataverse, V1, UNF:6:6qSTa2eXmoheavSmyYC9Wg== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HJZSIM |
| Comparisons | 3,661 |
|---|---|
| Agents | 37 |
agent_aagent_braterwinner
Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("zucco2019_portfoliosalience", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("zucco2019_portfoliosalience", source="comp")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch zucco2019_portfoliosalience, clear source(comp)
@dataset{zucco2019replication,
author = {Zucco, Cesar and Batista, Mariana and Power, Timothy},
title = {Replication Data for: Measuring portfolio salience using the Bradley-Terry model: An illustration with data from Brazil},
year = {2019},
doi = {10.7910/DVN/HJZSIM},
publisher = {Harvard Dataverse},
version = {V1},
url = {https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HJZSIM},
note = {UNF:6:6qSTa2eXmoheavSmyYC9Wg== [fileUNF]}
}
| IRW version | v712 |
|---|---|
| Redivis dataset | irw_competitions v7.1 |
| Redivis dataset DOI | 10.57761/3r1w-t660 |
| Manifest pin for this IRW version | v7.1 |
| Metadata source | irw_meta v68.0 |