rt_data: Assemble two-attempt repeater data

In retestR: Model-Based Anomaly Detection for Repeat Test-Takers

Assemble two-attempt repeater data

Description

Assemble two-attempt repeater data

Usage

rt_data(responses, persons, bank)

Arguments

responses	Long data frame, one row per person x attempt x item: 'person', 'attempt' (1 or 2), 'item', 'x' (0/1), and optionally 'rt' (response time in seconds).
persons	One row per repeater: 'person' plus the covariates used by the growth model (e.g. 'days_between', 'remediation').
bank	Calibrated item bank: 'item', 'b' (Rasch difficulty), 'exposed' (TRUE for items that may be compromised, e.g. long-running operational items; FALSE for new items), and optionally 'beta' (lognormal time intensity, log-seconds).

Details

Assumes no item is administered to the same person on both attempts (legitimate item memory would otherwise look like preknowledge).

Value

An 'rt_data' object.

Examples

bank <- data.frame(item = paste0("Q", 1:20), b = rnorm(20),
                   exposed = rep(c(TRUE, FALSE), each = 10))
persons <- data.frame(person = c("A", "B"), days_between = c(60, 200),
                      remediation = c(0, 1))
resp <- data.frame(person = rep(c("A", "B"), each = 20),
                   attempt = rep(rep(1:2, each = 10), 2),
                   item = c(paste0("Q", c(1:5, 11:15, 6:10, 16:20)),
                            paste0("Q", c(6:10, 16:20, 1:5, 11:15))),
                   x = rbinom(40, 1, 0.6))
str(rt_data(resp, persons, bank)$responses)

retestR documentation built on Oct. 8, 2026, 5:08 p.m.