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Flexible R-Shiny toolbox for calibration of soil moisture sensors
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README.md

SWCalibrateR

Interactive R-shiny application providing functionality for flexible calibration of soil moisture sensors.

  • Get example dataset for calibration via data("data").
  • Query metadata to retrieve filtered data frame.
  • Perform linear model estimation with standars OLS or MM-type regressor.
  • Visualize result.
  • Diagnose model fit and identify leverage and outlier points.

How to start

First install the package with:

if (!require("devtools")) install.packages("devtools")
install_github("JBrenn/SWCalibrateR")

and then import the library with:

library(SWCalibrateR)

=======

For running the calibration shiny app:

runShinyapp()

The online version of the app can be used as an working example: https://jgbr.shinyapps.io/shiny/

The same version runs with the following code:

shiny::runGitHub('JBrenn/SWCalibrateR', subdir="inst/shiny/", launch.browser = TRUE)

Acknowledgement

For this application I got inspired by the RStudio shiny gallery and used these code snippets.

R developer of the packages shiny, ggplot2, robustbase, Cairo.

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