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)

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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.