Package: hvtiRtemplates 1.4.2

hvtiRtemplates: Analysis Job Templates for the HVTI CORR Group

Versioned analysis job templates for the Cardiovascular Outcomes, Registries and Research (CORR) group within the Heart, Vascular and Thoracic Institute (HVTI) at the Cleveland Clinic. Provides the analysis-prefix taxonomy the group organizes jobs by, and resolves a template name to an installed file, so that a study binds to a versioned template rather than to a copy.

Authors:John Ehrlinger [aut, cre, cph]

hvtiRtemplates_1.4.2.tar.gz
hvtiRtemplates_1.4.2.zip(r-4.7-any)hvtiRtemplates_1.4.2.zip(r-4.6-any)hvtiRtemplates_1.4.2.zip(r-4.5-any)
hvtiRtemplates_1.4.2.tgz(r-4.6-any)hvtiRtemplates_1.4.2.tgz(r-4.5-any)
hvtiRtemplates_1.4.2.tar.gz(r-4.7-any)hvtiRtemplates_1.4.2.tar.gz(r-4.6-any)
hvtiRtemplates_1.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hvtiRtemplates/json (API)

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

Bug tracker:https://github.com/ehrlinger/hvtirtemplates/issues

Pkgdown/docs site:https://ehrlinger.github.io

On CRAN:

Conda:

quarto

4.60 score 12 scripts 20 exports 45 dependencies

Last updated from:ab1828cd25. Checks:6 OK, 3 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK545
source / vignettesOK604
linux-releaseOK608
macos-releaseOK551
macos-oldrelOK556
windows-develERROR795
windows-releaseERROR781
windows-oldrelERROR635
wasm-releaseOK190

Exports:add_jobbuild_cohortguard_long_fithvti_non_prefixeshvti_taxonomyjob_statuslife_tablelife_table_atlife_table_keeplife_table_testsmigrate_jobopen_jobread_job_datarender_jobstop_heresubmit_jobtemplate_catalogtemplate_listtemplate_pathupgrade_job

Dependencies:askpassbitbit64cellrangerclicliprcpp11crayondigestdplyrforcatsgenericsgluehavenhmshvtiRutilitiesjsonlitelabelledlifecyclemagrittropensslpillarpkgconfigprettyunitsprogresspspurrrR6readrreadxlrematchrlangstringistringrsystibbletidyrtidyselecttzdbutf8uuidvctrsvroomwithryaml

From SAS descriptive jobs to R
Who this is for | Install once | Open the study first | The map | Five steps for every job | The draft banner and EDIT: markers | Which data a job reads | Descriptive tables and correlations: dc-tables | Goodness of follow-up: dc-gfup | Trends over operation year: dc-trends | EDA report: dc-eda | Where the numbers differ | What is not ported

Last update: 2026-10-20
Started: 2026-09-15

Adopt a study for descriptive and EDA work
Open the study as an RStudio Project | Select the R version | Load the study packages | Adopt the existing study | Pin the package environment | Register the existing dataset | If EDA uses a subset | Create the descriptive and EDA jobs | Understand the name | Start with the generally applicable jobs | Work the jobs and generate output | When registered data change

Last update: 2026-10-20
Started: 2026-09-21

Start a new study
Before you start | Create the study | Register the dataset | Scaffold the first EDA job | Render and read the provenance | A first analysis chain: death | Where to go next

Last update: 2026-10-20
Started: 2026-09-23

The template catalog
What is here | Delivery | Available now | Coming | Where to read more

Last update: 2026-10-11
Started: 2026-09-25

Work a job
Which template do I want? | Add it to the study | Find what you have to change | Render as you go | Render part of a job | When the job stops you | Where to go next

Last update: 2026-10-11
Started: 2026-10-06

Migrate a legacy SAS study

Last update: 2026-09-23
Started: 2026-09-17