https://github.com/softloud/sysrevdata

toolchain walkthroughs for structuring data for evidence synthesis
https://github.com/softloud/sysrevdata

Last synced: 3 months ago
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toolchain walkthroughs for structuring data for evidence synthesis

• Host: GitHub
• URL: https://github.com/softloud/sysrevdata
• Owner: softloud
• License: other
• Created: 2020-06-22T07:37:42.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-06-05T11:42:49.000Z (over 2 years ago)
• Last Synced: 2023-03-08T15:49:24.988Z (almost 2 years ago)
• Language: R
• Homepage: https://softloud.github.io/sysrevdata
• Size: 3.52 MB
• Stars: 6
• Watchers: 4
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.Rmd
  • License: license.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# sysrevdata

The goal of sysrevdata is to provide examples and extensible toolchains for structuring data for systematic review. 

See vignettes (click on the "Articles" tab above) for example toolchain walkthroughs.

## Vignettes

- Narrative synthesis table | Condensed summaries of data for human interpretation

- Machine readable data for complex visualisations and analyses | Structuring data for machine interpretation

## Example dataset

This package currently contains `bufferstrips` dataset from a published systematic review. 

```{r}

library(sysrevdata)

# take a peek at the first 10 rows, 

# restricted to first 5 columns, 

# of each dataset

bufferstrips %>%

  # select first five columns

  dplyr::select(1:5) %>% 

  # select first 10 rows

  head(10)

```

See

- `?bufferstrips`

for more details.

## Installation

You can install 

the development version from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("softloud/sysrevdata")

```

# Contributing to this 

This is work that extended from ideas generated at the [Evidence Synthesis Hackathon](https://www.eshackathon.org/); it is the voluntary work of open scientists who welcome contributions. If you have an idea for an improvement or extension, please consider contributing a pull request or opening an [issue](https://github.com/softloud/sysrevdata/issues).