Posted on 9 November 2021 in , , by Hugo de Vries

Tutorial: Analyze PlantEye data with R-Studio

During the training and consulting of our clients we noticed that some of our users are eager to dive deeper into the data our tools provide, like plant morphological and spectral data. We know our academic users value open source data, for instance to publish alongside their scientific papers. The numerical data is ready to use with any statistical analysis software, therefore we constructed a quick guide that covers the topics related to getting started with Phenospex Data in R.

The tutorial page covers the following actions:

  • Data import
  • Data conversion
  • Data visualization
  • Data filtering
  • Hypothesis testing

Proof of concept – hypothesis testing in R

In order to generate a basic data set that would allow for hypothesis testing, a pilot experiment was performed with 8 basil plants. Two of the plants were assigned as control plants, and the remaining 6 were given a salt stress treatment.

As a complete walkthrough we created an easy to use tutorial. Start working on PlantEye data immediately by downloading the experiment’s CSV spreadsheet and the original R-script below.

Go to tutorial page >

Interactive 3D model of the basillicum plants used in the experiment, pre-treatment. The model was created with a TraitFinder DualScan setup (PlantEye F500)


R-scripts & Experiment data download:

Generate a download link and receive it on your mail:


Get R Studio

R Statistical Software and R Studio are both free to use software packages, and can be downloaded at the following pages respectively: and

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