Pivot-Style Statistical Tables for Large-Scale Assessment Data R package LISTC version 1.0.0 Turns assessment and survey sample data (demographics, scores, sampling weights, ability estimates with individual item response theory standard errors, replicate weights and plausible values) into fully customizable pivot-style statistical tables in which every cell carries a design-appropriate standard error. Provides weighted means, proportions above cut scores, proficiency-level percentages and quantiles; sampling variance via linearization, Woodruff (1952) <doi:10.1080/01621459.1952.10483443> intervals for quantiles, or balanced repeated replication and jackknife replicate weights including Fay's method; measurement variance via delta-method propagation of individual standard errors or Rubin (1987) <doi:10.1002/9780470316696> combination across plausible values. Imports data from 'CSV', 'Excel', 'SPSS', 'SAS', 'Stata' and item response theory software person files ('Winsteps', 'ConQuest'); a configuration-file interface serves non-programmers and automation; results export to formatted 'Excel', 'JSON' and standalone 'HTML' reports with rule-based plain-language interpretation. Software Depends: R (>= 4.1) Imports: data.table, haven, jsonlite, openxlsx, readxl, rlang, stats, tibble, utils, yaml Suggests: covr, knitr, readr, rmarkdown, testthat (>= 3.0.0) Kunxiang Ma <makunxiang@weiandata.com> Comprehensive R Archive Network (CRAN) Kunxiang Ma [aut, cre], WEIAN DATA TECH (Beijing) Co., Ltd. [cph, fnd] GPL (>= 2) 2026-07-28 application/tgz https://CRAN.R-project.org/package=LISTC doi:10.32614/CRAN.package.LISTC zh-CN