Rshiny_Robomussels is an interactive shiny app that allows any user to visualize the operative temperatures of mussels on a microclimatic scale. The data are collected by Brian Helmuth and colleagues and the application emphasizes the importance of adjusting the temporal and spatial scale of data for the focal organisms.
Git and Rstudio (Instructions)
Installation of the following R packages:
shiny, leaflet, dplyr, reshape2, tidyr, ggplot2
pkgs <- c("shiny", "leaflet", "dplyr", "reshape2", "tidyr", "ggplot2")
lapply(pkgs, FUN = function(x) {
if (!require(x, character.only = TRUE)) {
install.packages(x, dependencies = TRUE)
}
}
)
-
Opening in Rstudio:
Click on "Code" on the top right to copy the link to this repository.
ClickFile,New Project,Version Control,Git
Paste the repository URL and clickCreate Project. -
Alternatively, go to this link.
We have a google doc with questions to guide through the app for further understanding of the topic.
To contribute to RShiny_Robomussels, follow these steps:
- Fork this repository.
- Create a branch:
git checkout -b <branch_name>. - Make your changes and commit them:
git commit -m '<commit_message>' - Push to the original branch:
git push origin <project_name>/<location> - Create the pull request.
Alternatively see the GitHub documentation on creating a pull request.