All functions |
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ARCOS: A package for Automatic Recognition of Collective Signalling |
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Create an arcosTS class |
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"Smooth, de-trend, and binarise the measurement" |
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"Shuffle coordinates" |
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"Calculate collective events' growth" |
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Global Moran's I spatial correlation |
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"Calculate NN distances" |
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Calculate p-value from bootstrapping |
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"Stats of collective events" |
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"Clip the measurement" |
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"Export data to Napari" |
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Random synthetic collective events in 2D |
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A single synthetic collective event in 2D |
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Rotating callipers algorithm in 2D |
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"Plot a histogram of the measurement" |
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"Plot a histogram of track lengths |
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Interpolate NAs and missing data |
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"Test whether an object is the arcosTS object" |
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"Test whether the measurement in the arcosTS object has been binarised" |
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"Test whether an arcosTS comes from bootstrapping" |
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"Test whether an arcosTS object has collective events" |
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Keep significant digits |
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Load data from file |
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Title |
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Mid-Point Circle Drawing Algorithm |
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"Visualise measurement de-trending and binarisation" |
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"Plot collective events" |
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"Plot tracks" |
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"Randomly shift the measurement" |
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Clip a numeric vector Clip a numeric vector between lower and upper bounds. |
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Shiny app to visualise collective events |
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"Save plots of collective events" |
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Select collective events |
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Select track lengths |
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Vector shifter |
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"Shuffle blocks of the measurement per track" |
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Block shuffle a binary vector |
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Block shuffle a binary vector |
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"Shuffle coordinates" |
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"Shuffle the measurement per frame" |
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"Shuffle the measurement per track" |
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"Track collective events" |
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"Track collective events with bootstrapping randomisation" |