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ShinyLink is the bridge between existing vigorous open-source record linkage algorithms and an urgently needed accessible platform that eliminates cost and programming barriers and delivers a public health and bioinformatics precedent toward increased data interchangeability.
To install a stable version, you can install ShinyLink from CRAN.
install.packages("ShinyLink")
To get a bug fix, or use a feature from the development version, you can install ShinyLink from GitHub.
For windows users, please make sure that you have the latest R (>= 4.2.2) and RTools (>= 4.2) installed
Download and install the latest version of R (>= 4.2.2) for your Mac From CRAN: https://cran.r-project.org/bin/macosx/
Launch R and run these commands to install
if(!require(httpuv)) install.packages("httpuv")
if(!require(devtools)) install.packages("devtools")
::install_github("nelson-sci-labs/ShinyLink",dependencies=TRUE) devtools
By typing this command in the R Console to start using ShinyLink
::run_app() ShinyLink
Since this is a collaborative project, please adhere to the following code formatting conventions: * We use the tidyverse style guide (https://style.tidyverse.org/). * Please write roxygen2 comments as full sentences, starting with a capital letter and ending with a period. Brevity is preferred (e.g., “Calculates standard deviation” is preferred over “This method calculates and returns a standard deviation of given set of numbers”).
You’ll still need to render README.Rmd
regularly, to
keep README.md
up-to-date.
devtools::build_readme()
is handy for this. You could also
use GitHub Actions to re-render README.Rmd
every time you
push. An example workflow can be found here: https://github.com/r-lib/actions/tree/v1/examples.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.