Package: tableone 0.13.2

tableone: Create 'Table 1' to Describe Baseline Characteristics with or without Propensity Score Weights

Creates 'Table 1', i.e., description of baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. Weighted data are supported via the 'survey' package.

Authors:Kazuki Yoshida [cre, aut], Alexander Bartel [ctb, aut], Jonathan J Chipman [ctb], Justin Bohn [ctb], Lucy DAgostino McGowan [ctb], Malcolm Barrett [ctb], Rune Haubo B Christensen [ctb], gbouzill [ctb]

tableone_0.13.2.tar.gz
tableone_0.13.2.zip(r-4.7)tableone_0.13.2.zip(r-4.6)tableone_0.13.2.zip(r-4.5)
tableone_0.13.2.tgz(r-4.6-any)tableone_0.13.2.tgz(r-4.5-any)
tableone_0.13.2.tar.gz(r-4.7-any)tableone_0.13.2.tar.gz(r-4.6-any)
tableone_0.13.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
tableone/json (API)

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

Bug tracker:https://github.com/kaz-yos/tableone/issues

On CRAN:

Conda:

baseline-characteristicsdescriptive-statisticsstatistics

13.77 score 234 stars 13 packages 3.2k scripts 22k downloads 78 mentions 9 exports 52 dependencies

Last updated from:e2e7cccdc8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK272
source / vignettesOK224
linux-release-x86_64OK221
macos-release-arm64OK158
macos-oldrel-arm64OK181
windows-develOK200
windows-releaseOK188
windows-oldrelOK167
wasm-releaseOK165

Exports:CreateCatTableCreateContTableCreateTableOneExtractSmdkableoneShowRegTablesvyCreateCatTablesvyCreateContTablesvyCreateTableOne

Dependencies:bitbit64classclicliprcpp11crayonDBIdplyre1071forcatsgdatagenericsgluegmodelsgtoolshavenhmslabelledlatticelifecyclemagrittrMASSMatrixminqamitoolsnlmenumDerivpillarpkgconfigprettyunitsprogressproxypurrrR6RcppRcppArmadilloreadrrlangstringistringrsurveysurvivaltibbletidyrtidyselecttzdbutf8vctrsvroomwithrzoo

Using standardized mean differences
Standardized mean difference | Load packages | Load data | Unmatched table | Propensity score estimation | Propensity score matching | Propensity score matching weight | Propensity score overlap weight | Assessing balance before and after matching/weighting | Outcome analysis

Last update: 2022-03-27
Started: 2015-08-10

Introduction to tableone
What is tableone? | Load packages | Single group summary | Simplest use case | Categorical variable conversion | Showing all levels for categorical variables | Detailed information including missingness | Summarizing nonnormal variables | Fine tuning | Multiple group summary | Testing | Exporting | Quick and dirty way | Real export way | Miscellaneous | Categorical or continous variables-only

Last update: 2021-07-04
Started: 2014-12-29