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LISTC  

Pivot-Style Statistical Tables for Large-Scale Assessment Data
View on CRAN: Click here


Download and install LISTC package within the R console
Install from CRAN:
install.packages("LISTC")

Install from Github:
library("remotes")
install_github("cran/LISTC")

Install by package version:
library("remotes")
install_version("LISTC", "1.0.0")



Attach the package and use:
library("LISTC")
Maintained by
Kunxiang Ma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-28
Latest Update: 2026-07-28
Description:
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.
How to cite:
Kunxiang Ma (2026). LISTC: Pivot-Style Statistical Tables for Large-Scale Assessment Data. R package version 1.0.0, https://cran.r-project.org/web/packages/LISTC. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for LISTC
Functions, R codes and Examples using the LISTC R package
Full LISTC package functions and examples
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