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quest  

Prepare Questionnaire Data for Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("quest", "0.2.0")



Attach the package and use:
library("quest")
Maintained by
David Disabato
[Scholar Profile | Author Map]
First Published: 2021-09-10
Latest Update: 2023-12-05
Description:
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.
How to cite:
David Disabato (2021). quest: Prepare Questionnaire Data for Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/quest. Accessed 05 May. 2025.
Previous versions and publish date:
0.1.0 (2021-09-10 13:20)
Other packages that cited quest R package
View quest citation profile
Other R packages that quest depends, imports, suggests or enhances
Complete documentation for quest
Functions, R codes and Examples using the quest R package
Some associated functions: add_sig . add_sig_cor . agg . agg_dfm . aggs . amd_bi . amd_multi . amd_uni . auto_by . ave_dfm . boot_ci . by2 . center . center_by . centers . centers_by . change . change_by . changes . changes_by . colMeans_if . colNA . colSums_if . composite . composites . confint2.boot . confint2.default . confint2 . cor_by . cor_miss . cor_ml . corp . corp_by . corp_miss . corp_ml . covs_test . cronbach . cronbachs . decompose . decomposes . deff . deffs . describe_ml . dot-cronbach . dot-cronbachs . dot-gtheory . dot-gtheorys . dum2nom . freq . freq_by . freqs . freqs_by . gtheory . gtheory_ml . gtheorys . gtheorys_ml . icc_11 . icc_all_by . iccs_11 . length_by . lengths_by . long2wide . make.dumNA . make.dummy . make.fun_if . make.latent . make.product . mean_change . mean_compare . mean_diff . mean_if . mean_test . means_change . means_compare . means_diff . means_test . mode2 . n_compare . ncases . ncases_by . ncases_desc . ncases_ml . ngrp . nhst . nom2dum . nrow_by . nrow_ml . partial.cases . pomp . pomps . prop_compare . prop_diff . prop_test . props_compare . props_diff . props_test . quest-package . recode2other . recodes . renames . reorders . revalid . revalids . reverse . reverses . rowMeans_if . rowNA . rowSums_if . rowsNA . score . scores . shift . shift_by . shifts . shifts_by . sum_if . summary_ucfa . tapply2 . ucfa . valid_test . valids_test . vecNA . wide2long . winsor . winsors . 
Some associated R codes: describes_functions.R . diary_functions.R . mia_functions.R . psymet_functions.R . quest_functions.R .  Full quest package functions and examples
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