README.md

In JBrenn/SWCalibrateR: Flexible calibration tool for soil moisture sensors

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.

JBrenn/SWCalibrateR documentation built on June 23, 2019, 4:46 p.m.