Package: rifttable 0.7.2

Konrad H. Stopsack

rifttable: Results Tables to Bridge the Rift Between Epidemiologists and Their Data

Presentation-ready results tables for epidemiologists in an automated, reproducible fashion. The user provides the final analytical dataset and specifies the design of the table, with rows and/or columns defined by exposure(s), effect modifier(s), and estimands as desired, allowing to show descriptors and inferential estimates in one table -- bridging the rift between epidemiologists and their data, one table at a time. See Rothman (2017) <doi:10.1007/s10654-017-0314-3>.

Authors:Konrad H. Stopsack [aut, cre, cph]

rifttable_0.7.2.tar.gz
rifttable_0.7.2.zip(r-4.7-any)rifttable_0.7.2.zip(r-4.6-any)rifttable_0.7.2.zip(r-4.5-any)
rifttable_0.7.2.tgz(r-4.6-any)rifttable_0.7.2.tgz(r-4.5-any)
rifttable_0.7.2.tar.gz(r-4.7-any)rifttable_0.7.2.tar.gz(r-4.6-any)
rifttable_0.7.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rifttable/json (API)

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

Bug tracker:https://github.com/stopsack/rifttable/issues

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

On CRAN:

Conda:

descriptive-statisticsepidemiologyepidemiology-analysisepidemiology-modelstables

5.92 score 4 stars 23 scripts 249 downloads 5 exports 30 dependencies

Last updated from:3038fd3276. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK166
source / vignettesOK210
linux-releaseOK143
macos-releaseOK109
macos-oldrelOK145
windows-develOK124
windows-releaseOK87
windows-oldrelOK91
wasm-releaseOK109

Exports:rifttablert_gtscorecisurvdiff_citable1_design

Dependencies:backportsbcabootbootbroomclicpp11dplyrgenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigpurrrR6risksrlangsandwichstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithrzoo

A Descriptive Table 1
Loading the package | Data handling | Generate a table design | Obtain Table 1 | Customize the table | Add more statistics per variable
Rendered fromtable1.Rmdusingknitr::rmarkdown

Last update: 2025-10-08
Started: 2023-02-21

Get started with rifttable
Loading the package | Loading example data | Example 1: Basic use with binary outcomes | Example 2: Formatted output | Example 3: Swap rows and columns | Example 4: Survival outcomes, effect modifier, and confounder | Example 5: Two estimates using type and type2 | Example 6: Continuous outcomes, rounding, and trend (slope)
Rendered fromrifttable.Rmdusingknitr::rmarkdown

Last update: 2025-06-06
Started: 2023-01-16

Binary outcomes
Example | Absolute estimates per exposure category | Comparative estimates with confidence intervals
Rendered fromestimators_binary.Rmdusingknitr::rmarkdown

Last update: 2025-03-26
Started: 2023-10-09

Continuous outcomes
Example | Absolute estimates per exposure category | Comparative estimates with confidence intervals | More on ratios of continuous outcomes
Rendered fromestimators_continuous.Rmdusingknitr::rmarkdown

Last update: 2025-03-26
Started: 2023-10-09

Frequently Asked Questions
Basic example | Why do I get an error? | What is the design? | How do I handle missing data? | How do I add overall statistics? | How do I test for trend? | How do I show multiple exposures in the same table? | How do I change how results are rounded? | How can I create joint models? | How can I change the reference category? | How I do I change the level for confidence intervals? | How do I make rifttable calculate an estimand that is not built-in?
Rendered fromfaq.Rmdusingknitr::rmarkdown

Last update: 2025-03-26
Started: 2023-06-13

Survival outcomes
Example | Absolute estimates per exposure category | Comparative estimates with confidence intervals | Competing events | Weighted estimates | Clustering and robust variance
Rendered fromestimators_survival.Rmdusingknitr::rmarkdown

Last update: 2025-03-26
Started: 2023-10-09