tables

Formula-Driven Table Generation

https://github.com/dmurdoch/tables

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Formula-Driven Table Generation

Basic Info
Statistics
  • Stars: 13
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 3
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog

README.Rmd

---
output: github_document
---




[![R-CMD-check](https://github.com/dmurdoch/tables/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/dmurdoch/tables/actions/workflows/R-CMD-check.yaml)


```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# tables

The goal of tables is to compute and display complex tables of summary statistics.

Output may be in LaTeX, HTML, plain text, or an R
matrix for further processing.

## Installation

You can install the release version of `orientlib` using

``` r
install.packages("tables")
```

You can install the development version of tables from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("dmurdoch/tables")
```

## Example

This is a basic example which shows you how to solve a common problem:

```{r example}
library(tables)

set.seed(123)

# In an R Markdown document, you don't want each table
# to output the HTML document header, so turn 
# off that option:

table_options(htmloptions(head=FALSE))

X <- rnorm(125, sd=100)
Group <- factor(sample(letters[1:5], 125, replace = TRUE))
tab <- tabular( Group ~ 
                  (N=1) +
                  Format(digits=2)*X*
                    ((Mean=mean) +
                     Heading("Std Dev")*sd) 
              )

# To print in plain text:
tab

# To format in HTML:
toHTML(tab)
```
```{r}
# To generate LaTeX code:
strsplit(toLatex(tab)$text, "\n")
```

Owner

  • Login: dmurdoch
  • Kind: user

GitHub Events

Total
  • Issues event: 4
  • Delete event: 2
  • Issue comment event: 5
  • Push event: 7
  • Pull request event: 4
  • Create event: 1
Last Year
  • Issues event: 4
  • Delete event: 2
  • Issue comment event: 5
  • Push event: 7
  • Pull request event: 4
  • Create event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 66
  • Total Committers: 2
  • Avg Commits per committer: 33.0
  • Development Distribution Score (DDS): 0.076
Past Year
  • Commits: 14
  • Committers: 1
  • Avg Commits per committer: 14.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Duncan Murdoch m****n@g****m 61
Vincent Arel-Bundock v****k@u****a 5
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 8
  • Total pull requests: 28
  • Average time to close issues: about 2 months
  • Average time to close pull requests: about 6 hours
  • Total issue authors: 5
  • Total pull request authors: 3
  • Average comments per issue: 2.13
  • Average comments per pull request: 0.43
  • Merged pull requests: 27
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 4
  • Average time to close issues: 2 months
  • Average time to close pull requests: about 1 hour
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.25
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • fkohrt (2)
  • gillesdutilh (2)
  • dmurdoch (2)
Pull Request Authors
  • dmurdoch (34)
  • vincentarelbundock (2)
  • gmbecker (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 18,754 last-month
  • Total docker downloads: 52,470
  • Total dependent packages: 9
  • Total dependent repositories: 35
  • Total versions: 20
  • Total maintainers: 1
cran.r-project.org: tables

Formula-Driven Table Generation

  • Versions: 20
  • Dependent Packages: 9
  • Dependent Repositories: 35
  • Downloads: 18,754 Last month
  • Docker Downloads: 52,470
Rankings
Downloads: 3.9%
Dependent repos count: 4.4%
Dependent packages count: 5.7%
Average: 13.7%
Stargazers count: 18.3%
Docker downloads count: 22.2%
Forks count: 27.8%
Maintainers (1)
Last synced: 11 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
  • r-lib/actions/setup-tinytex v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.4.1 composite
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
  • r-lib/actions/setup-tinytex v2 composite
DESCRIPTION cran
  • R >= 2.12.0 depends
  • htmltools * imports
  • knitr * imports
  • stats * imports
  • utils * imports
  • Hmisc * suggests
  • bookdown * suggests
  • kableExtra >= 0.9.0 suggests
  • magrittr * suggests
  • pkgdown * suggests
  • rmarkdown * suggests