Getting Started with irwpkg

📌 Overview

irwpkg provides an interface to access datasets from the Item Response Warehouse (IRW).

---

Explore Available Datasets

Before fetching data, you can explore the available datasets and their metadata.

List all datasets and their metadata:

irw_list_tables()
irw_info()
irw_info("4thgrade_math_sirt")

---

Find Datasets by Criteria

Filter datasets based on key attributes.

Example: Filter by respondent count and density range:

irw_filter(n_participants = c(100, 1000), density = c(0.1, 0.5))

Find datasets with rater-based scoring:

irw_filter(var="rt")

Combine multiple filters:

irw_filter(n_participants = c(100, 10000), var="cov_", density=c(0.1, 0.8))

---

Fetch Datasets

Retrieve datasets directly into R for analysis.

Fetch a single dataset:

swmd_mokken <- irw_fetch("swmd_mokken")
str(swmd_mokken)

Fetch multiple datasets:

datasets <- irw_fetch(c("fractals_rating", "spelling2pronounce_edwards2023"))
print(names(datasets))

Fetch datasets that match specific filters:

matching_tables <- irw_filter(var="rater", density=NULL)
metadata = irw_metadata()
metadata[metadata$dataset_name %in% matching_tables, ] 

matching_tables <- irw_filter(var="rater", density=NULL, responses_per_item = c(0,1000))
datasets <- irw_fetch(matching_tables)
print(names(datasets))

---

Download Datasets

Save datasets locally.

Save as CSV:

irw_download("gilbert_meta_48")

Save dataset metadata as a BibTeX citation:

irw_save_bibtex("gilbert_meta_48")

---