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An R package to detect collective spatio-temporal phenomena

License: Other

R 89.15% C++ 0.95% NetLogo 9.90%

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Error in .checkTypes(e, names_x)

I'm attempting to load my data from a .csv file and I'm encountering an error using savePlotColl2D. "Error in .checkTypos(e, names_x) :
Object 'NA' not found amongst id, x, y, m". My dataset is formatted in the same way as synthetic data generated with genSynth2D.

Here are the commands I've entered and the resulting error in situ.

dts = loadDataFromFile(fname=datapath, 
                       colMeas='m',
                       col = list(Frame='t', IDobj = 'id'))
dcoll = ARCOS::trackColl(dts[m>0], eps = 58.5918)
dcollch = dcoll[,
                .SD[grDevices::chull(x,y)], 
                by = .(t, collid)]
ARCOS::savePlotColl2D(dts, dcoll, 
                      outdir = "./frames",
                      xlim = c(-.5,9),
                      ylim = c(-.5,9),
                      plotwh = c(4,3),
                      imtype = "png")

Error in .checkTypos(e, names_x) : 
  Object 'NA' not found amongst id, x, y, m

The above methods work fine when dts is generated by genSynth2D as per the example in the documentation.
I suspect I'm improperly formatting my inputs for loadDataFromFile but I'm unsure how to proceed.

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