This function generates a table following the AMILSC recommended accuracy
standards for cut surface cameras. It computes a generalised expert grader by
taking the mean of the devices.
Usage
human_device_msa_marbling(df, df2, device_name, grader_count = 3)
Arguments
- df
Human grader data-frame in long format.
- df2
Device data-frame in long format.
- device_name
Name of the device that is to be compared with the generalised expert grader.
- grader_count
An integer specifying the number of expert graders present in df.
Value
A GT() table with the minimum accuracy standards, split by date.
