About the colored property trees

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New version (starting with IDEATools 3.0.0)

Instead of using SVG RAW code (which could be tricky when one needed to modify some elements), a new approach only using the {ggplot2} package (along with the {ggtext} extension) was developped.

This approach is based on simple and reproducible ggplot syntax and based on a few reference dataframes containing coordinates for lines and boxes (nodes) which are stored in the package as internal data that can be exported on your computer by using :

IDEATools:::show_tree_structure("my_directory")

How can I modify / translate the colored trees ?

The node labels used in the source code which produces the colored trees are found in another internal object, reference_list, which is a list gathering several tibbles with reference info. By modifying the name attribute in $indic_dim, $indic_prop and $properties_nodes, you can translate the colored trees which will be produced.

Previous version

The algorithm for producing colored trees was the result of a long work involving the testing of many methods and R packages. The first solution chosen was to draw the models in “white” on a vectorial drawing software (Inkscape) in svg format. SVG is a markup language (similar to XML or HTML) with which it is fairly easy to apply search and replace algorithms. A rectangle tag (corresponding to a node of the illuminated tree) can be written :

<rect
       style="fill:#ffffff;fill-opacity:1;stroke:#001800;stroke-width:0.1"
       id="rect2-16"
       width="17.833706"
       height="4.9643545"
       x="370.30774"
       y="143.9761"
       inkscape:label="#rect2-16" />

So all we had to do was find the tag for each rectangle, assign each rectangle identifier to its corresponding indicator, then we can search-replace the argument “fill:#ffffff” by the appropriate color corresponding to the evaluation :

IDEATools then converted this modified SVG source code to a proper PNG/PDF image using the {rsvg} library.

The templates were stored as internal object R named “canvas”. It was a list containing in each element the complete SVG source code of each template.

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.