The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

License: MIT lifecycle Coverage Status rcmdcheck r-universe CRAN CRAN checks Monthly downloads Total downloads

grwat

Welcome to grwat, an R package for the automatic hydrograph separation and daily hydrological time series analysis. grwat provides various filters to separate baseflow and quickflow. Implements advanced separation technique which involves meteorological data to reveal genetic components of the runoff: ground, rain, thaw and spring (seasonal thaw). High-performance C++17 computation, annually aggregated variables, statistical testing and numerous ggplot-based functions for informative plotting.

Important note: The current state of the package should be considered experimental. Convenience of grwat data model and processing workflow should be tested by package users and may change in near future. Feel free to submit bugs and suggestions on improvement of the package to the GitHub issues.

Install released version from CRAN

Install the latest released version of grwat from CRAN by:

install.packages("grwat")

Install development version from R-universe

The current development version of grwat can be installed from R-universe:

# Enable repository from tsamsonov
options(
  repos = c(
    ropensci = 'https://tsamsonov.r-universe.dev',
    CRAN = 'https://cloud.r-project.org'
  )
)
  
# Download and install grwat in R
install.packages('grwat')

Install development version from GitHub

The current development version of grwat can be installed from GitHub. For this three steps are required:

  1. Install remotes R package
  2. Install compiler (Windows and macOS only)
  3. Install grwat R package

Install remotes

To install from GitHub, you should install remotes package first (unless it is already installed on your machine):

install.packages("remotes")

Install compiler

Since grwat contains C++ code, it needs to be compiled during the package installation.

Linux users should have the compiler already installed in their system.

macOS users have to:

  1. Install Xcode command-line tools.
  2. Restart R session.

Windows users have to:

  1. Install Rtools.
  2. Restart R session.

Install grwat

If all previous steps are completed successfully, grwat package can be installed via single command:

remotes::install_github("tsamsonov/grwat")

A note to Windows users: if you get the error during installation over the previously installed grwat, remove the package folder manually, restart R and then hit remotes::install_github("tsamsonov/grwat", INSTALL_opts = '--no-lock'). You should run RStudio as Administrator to get the full access to the package installation folder. The location of installation folder can be learned from Packages — Install dialog or by .libPaths() command in R console as displayed below.

> .libPaths()
[1] "C:/Users/tsamsonov/Documents/R/win-library/4.1"
[2] "C:/Program Files/R/R-4.1.0/library"

Why ‘grwat’?

grwat is an acronym made from ground water. This name emerged historically because the extraction of the ground flow (baseflow) is one of the most important stages in the advanced separation algorithm provided by the package.

Funding

grwat package has been developed in 2019-2022 with financial support of Russian Science Foundation (RSF) Project 19-77-10032.

The main separation algorithm was developed in 2016-2018 with financial support of Russian Foundation for Basic Research (RFBR) Project 16-35-60080.

The mountain block of the main separation algorithm was developed in 2018-2019 with financial support of Russian Science Foundation (RSF) Project 17-77-10169.

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.