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Devices take 3 or 4 images, often with different ratings. This function explores the differences between the images for all devices within the data-frame (continuous traits). For discrete traits, refer to device_image_diff_discrete(). Note that this function currently only supports MSA-marbling and EMA.

Usage

device_image_diff(df, variable)

Arguments

df

Device data-frame in long format.

variable

A valid column name denoting the variable of interest.

Value

Scatterplots of pairwise image differences, with marks following AMILSC recommended accuracy standards.

Examples

data(devices, package = "meatrics") # load the data
device_image_diff(devices, "ema")