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sparcnetfsu's Introduction

sparcnetfsu

Binder

This repository contains the data and code for our paper:

Authors, (YYYY). Title of your paper goes here. Name of journal/book https://doi.org/xxx/xxx

Our pre-print is online here:

Authors, (YYYY). Title of your paper goes here. Name of journal/book, Accessed 23 Nov 2019. Online at https://doi.org/xxx/xxx

How to cite

Please cite this compendium as:

Authors, (2019). Compendium of R code and data for Title of your paper goes here. Accessed 23 Nov 2019. Online at https://doi.org/xxx/xxx

How to download or install

You can download the compendium as a zip from from this URL: https://github.com/djhocking/sparcnetfsu/archive/master.zip

Or you can install this compendium as an R package, sparcnetfsu, from GitHub with:

# install.packages("devtools")
remotes::install_github("djhocking/sparcnetfsu")

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Data : CC-0 attribution requested in reuse

Contributions

We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

sparcnetfsu's People

Contributors

akwilliams02 avatar djhocking avatar esphillips0 avatar

Watchers

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sparcnetfsu's Issues

QAQC 2019 Data

Check for duplicate marks and mis-identifcation. If sex is consistent, etc.

Summary Ideas

  • Number of captures per season per year
  • Number of captures of each species overall
  • Size distributions (by sex?) - histogram
  • Frequency of egg presence in individual females
  • Clutch size distributions among females (per year) - just in the spring
  • Growth of individuals over time by sex
  • Relationships of captures to environmental variables

Package Management

Docker will be potentially useful for making the entire compendium portable and reproducible but during development it would be useful to have a package management system. Use the renv R package.

General stuff for Allison

  • Data QAQC
  • Learn R
  • Learn the dplyr package in R for data summaries
  • Learn the ggplot2 package for making graphs in R
  • Summarize data

Automating Temperature Data

Write README.Rmd for instructions on the downloading and naming scheme for when downloading temperature data. Write R functions for automatically parsing, checking, and combining temperature data from the individual download files.

Generate Metadata

Need to make metadata. Try using the EML format. Can use Morpho but might try the EML R package.

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