The goal of samplrData is to provide datasets collected by the SAMPLING project.

Installation

You can install samplrData from CRAN:

install.packages("samplrData")

You can install the development version of samplrData from GitHub with:

# install.packages("devtools")
devtools::install_github("lucas-castillo/samplrData")

Licenses

Unless otherwise stated, data are distributed under a CC BY 4.0 license. This means that attribution to the authors of the originating papers is needed. Dataset documentations include who to attribute under the “References” section.

Example

Loading the package allows you to import the datasets:

library(samplrData)
knitr::kable(head(sundh2023.meanvariance.e3))
ID block trial query querydetail querytype estimate starttime endtime RT
101 1 1 If the weather in England is mild on a random daywhat is the probability that the weather will also be not foggy on the same day? not foggy given mild notAgB 90 1188820 1188860 39.329710
101 1 2 If the weather in England is not thundery on a random daywhat is the probability that the weather will also be humid on the same day? humid given not thundery BgnotA 50 1188860 1188878 18.635095
101 1 3 What is the probability that the weather will be snowy or not stormy on a random day in England? snowy or not stormy AornotB 90 1188879 1188925 46.462790
101 1 4 If the weather in England is not humid on a random daywhat is the probability that the weather will also be thundery on the same day? thundery given not humid AgnotB 5 1188925 1188956 30.659539
101 1 5 What is the probability that the weather will be not humid on a random day in England? not humid notB 80 1188956 1188963 6.641129
101 1 6 What is the probability that the weather will be stormy on a random day in England? stormy B 20 1188963 1188971 8.111630

Please read descriptions of the datasets in the reference section.