Using ParallelPlot/ScatterPlotMatrix outside Lagun

LAGUN
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There are several ways to use parallelPlot and scatterPlopMatrix outside Lagun. Five methods will be discussed in this post.

I) From Lagun, export the graph as a stand-alone html file

When one of these graphs is displayed, a button (a gear icon on the top left) is used to open a popup. Then, in the bottom, a button Export Plot allows you to export the plot as a stand-alone html file.

More precisely, exported file can take two forms, depending on what is installed on the server running Lagun:

  • the export is a single html file (this is the case if the pandoc library is installed, typically true when using the Lagun docker image);
  • the export is a zip file containing a html file and its dedicated directory (containing files useful for the proper operation of the html file).

ExportPP-FromLagun

II) From an R console, display a parallelPlot (or a scatterPlopMatrix)

In a R console:

  • install package parallelPlot;

    install.packages('parallelPlot', repos = 'http://cran.us.r-project.org')

  • load data to visualize;

    myData <- read.csv2('./documentation/test-cases/Lagun_TestCase1_Exploration/DOEXY.csv', header = TRUE, sep = ',')

  • display data on a parallelPlot.

    categorical <- list(NULL, c("Cat1", "Cat2", "Cat3"), NULL, NULL, NULL, NULL, NULL, c(700, 740, 780, 820), NULL)
parallelPlot::parallelPlot(myData, categorical = categorical)

III) From an R console, export the graph as a stand-alone html file

Very similar to the previous case.

In a R console:

  • install package parallelPlot;

    install.packages('parallelPlot', repos = 'http://cran.us.r-project.org')

  • load data to visualize;

    myData <- read.csv2('./documentation/test-cases/Lagun_TestCase1_Exploration/DOEXY.csv', header = TRUE, sep = ',')

  • create parallelPlot with the loaded data;

    categorical <- list(NULL, c("Cat1", "Cat2", "Cat3"), NULL, NULL, NULL, NULL, NULL, c(700, 740, 780, 820), NULL)
myParallelPlot <- parallelPlot::parallelPlot(myData, categorical = categorical)

  • export the created parallelPlot as a html file.

    htmlwidgets::saveWidget(myParallelPlot, 'myParallelPlot.html')

IV) from a Shiny application

You can write a Shiny application which uses parallelPlot and/or scatterPlopMatrix, and interacting with other graphical components. Some examples (used for testing) are available on the gitlab repositories:

Below, screenshot of Shiny-ScatterPlotMatrix-ParallelPlot-CsvFile.R:

spm-pcp-link

Note you can deploy easily your own Shiny app on the web thanks to https://www.shinyapps.io/. We do this for some testing apps, for example:
https://detocs.shinyapps.io/ScatterPlotMatrix-ParallelPlot-Link-DataFromFile/

V) In your own html page

You can also write a html file which uses parallelPlot and/or scatterPlopMatrix. Some examples (used for testing) are available on the gitlab repositories:

Let’s see the html file called mtcars.html in the parallelPlot repository:

  • it references two external files (parallelPlot.css and pp.iife.js ), make sure they are available in your own html file;

  • data to display are written in the html file, replace them by your own data keeping the same format (placed between inverted quotes, first row is a header, comma is the column separator);

    const mtcarsCsv = `model,mpg,cyl,disp,hp,drat,wt,qsec,vs,am,gear,carb
Mazda RX4,21,6,160,110,3.9,2.62,16.46,0,1,4,4
Mazda RX4 Wag,21,6,160,110,3.9,2.875,17.02,0,1,4,4
Datsun 710,22.8,4,108,93,3.85,2.32,18.61,1,1,4,1
Hornet 4 Drive,21.4,6,258,110,3.08,3.215,19.44,1,0,3,1
Hornet Sportabout,18.7,8,360,175,3.15,3.44,17.02,0,0,3,2`

  • don’t forget to adapt the config argument to your case, especially categorical and refColumnDim attributes.

          const config = {
          data: mtcars,
          rowLabels: mtcars.map(row => row.model),
          categorical: [null, null, [4, 6, 8], null, null, null, null, null, [0, 1], [0, 1], [3, 4, 5], [1, 2, 3, 4, 5, 6, 7, 8]], 
          refColumnDim: "cyl",
          controlWidgets: true
      }
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