quest: Prepare Questionnaire Data for Analysis

Offers a suite of functions to prepare questionnaire data for analysis (perhaps other types of data as well). By data preparation, I mean data analytic tasks to get your raw data ready for statistical modeling (e.g., regression). There are functions to investigate missing data, reshape data, validate responses, recode variables, score questionnaires, center variables, aggregate by groups, shift scores (i.e., leads or lags), etc. It provides functions for both single level and multilevel (i.e., grouped) data. With a few exceptions (e.g., ncases()), functions without an "s" at the end of their primary word (e.g., center_by()) act on atomic vectors, while functions with an "s" at the end of their primary word (e.g., centers_by()) act on multiple columns of a data.frame.

Version: 0.2.0
Depends: R (≥ 4.0.0), datasets, stats, utils, methods
Imports: str2str, abind, checkmate, plyr, car, psych, boot, MBESS, nlme, lme4, multilevel, lavaan
Suggests: reshape, psychTools, lmeInfo, semTools
Published: 2023-12-05
DOI: 10.32614/
Author: David Disabato ORCID iD [aut, cre]
Maintainer: David Disabato <ddisab01 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: quest results


Reference manual: quest.pdf


Package source: quest_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): quest_0.2.0.tgz, r-oldrel (arm64): quest_0.2.0.tgz, r-release (x86_64): quest_0.2.0.tgz, r-oldrel (x86_64): quest_0.2.0.tgz
Old sources: quest archive


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