In nasserdr/dendroSense: Analyzing dendrometers data the easy way.

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

dendroSense

DendroSense package offers an intuitive graphical user interface to analyze Dendrometers data.

Installation

You can install the released version of dendroSense from CRAN with:

#install.packages("dendroSense")

And the development version from GitHub with:

# install.packages("devtools")
#devtools::install_github("nasserdr/dendroSense")

Example

To run the GUI, open the file 'gui/DendroSenseGUI.R' and click on 'Run' or execute the following command in the Console:

library(dendroSense)
runGui()

TO DO:

• [ ] Code for treating gaps in large files automatically.
• [ ] Code for aggregating daily, phase and cycle statistics in a dataframe for a list of files.

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

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/master/examples.

You can also embed plots, for example:

#plot(pressure)

In that case, don't forget to commit and push the resulting figure files, so they display on GitHub and CRAN.

nasserdr/dendroSense documentation built on Dec. 21, 2021, 11:11 p.m.