Package: tallieR 0.2.0

Lucas França

tallieR: Import and Score ScoreMe App Questionnaire Data

A companion package for the ScoreMe app (https://scoreme.circadia-lab.uk). Provides tools to import participant JSON exports, re-score validated questionnaires, and assemble tidy wide and long study-level data frames ready for downstream analysis in R. Stable instruments: ESS, ISI, DBAS-16, MEQ, PSQI, RU-SATED, STOP-BANG, KSS, MCTQ. Beta instruments (scoring ported from ScoreMe, not yet independently validated in tallieR): PHQ-2, PHQ-9, PHQ-15, GAD-7, GAD-2, BDI-II, BAI, DASS-21, PANSS, STAI-S, STAI-T, WHOQOL-BREF, MacArthur SSS, IPAQ-S, GPAQ, GSQ, AQ-10.

Authors:Lucas França [aut, cre], Mario Leocadio-Miguel [aut]

tallieR_0.2.0.tar.gz
tallieR_0.2.0.zip(r-4.7)tallieR_0.2.0.zip(r-4.6)tallieR_0.2.0.zip(r-4.5)
tallieR_0.2.0.tgz(r-4.6-any)tallieR_0.2.0.tgz(r-4.5-any)
tallieR_0.2.0.tar.gz(r-4.7-any)tallieR_0.2.0.tar.gz(r-4.6-any)
tallieR_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tallieR/json (API)

# Install 'tallieR' in R:
install.packages('tallieR', repos = c('https://circadia-bio.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/circadia-bio/tallier/issues

Pkgdown/docs site:https://tallier.circadia-lab.uk

On CRAN:

Conda:

3.60 score 1 scripts 17 exports 21 dependencies

Last updated from:7e4878c401 (on main). Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE142
source / vignettesOK243
linux-release-x86_64NOTE137
macos-release-arm64NOTE163
macos-oldrel-arm64NOTE160
windows-develNOTE77
windows-releaseNOTE93
windows-oldrelNOTE92
wasm-releaseOK121

Exports:as_tibble.tallier_exportas_tibble.tallier_studyavailable_instrumentscompletion_summarycronbach_alphainterpret_allinterpret_scoreitems_longload_instrumentload_instrument_diromega_reliabilityread_scoremeread_scoreme_dirscore_allscore_questionnairescores_longscores_wide

Dependencies:clicpp11dplyrgenericsgluejsonlitelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Custom instruments in tallieR
The JSON spec format | Supported scoring types | Key fields reference | Loading a custom instrument | Scoring with a custom instrument | Using custom instruments with imports | Loading multiple instruments | Composite scoring | Inspecting a loaded registry
Rendered fromcustom-instruments.Rmdusingknitr::rmarkdown

Last update: 2026-05-22
Started: 2026-05-22

Getting started with tallieR
Installation | Basic workflow | 1. Read an export | 2. Wide score table | 3. Long score table | 4. Item-level data | Scoring and interpretation | Available instruments | Study monitoring | Clinical interpretations | Reverse-scored items | Reliability analysis | Tidyverse integration
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-05-22
Started: 2026-05-14

Longitudinal data in tallieR
Simulated longitudinal dataset | scores_wide() vs scores_long() | Monitoring completion across time points | Preparing a panel data frame | Plotting change over time | Adding clinical interpretations
Rendered fromlongitudinal-data.Rmdusingknitr::rmarkdown

Last update: 2026-05-22
Started: 2026-05-22

Reliability analysis in tallieR
Why internal consistency matters | Cronbach's alpha | Interpreting alpha | McDonald's omega | When to use which | Comparing alpha and omega side by side | Using an items_long() data frame directly | Handling non-numeric items | Failure modes | References
Rendered fromreliability-analysis.Rmdusingknitr::rmarkdown

Last update: 2026-05-22
Started: 2026-05-22