nb-ts-img-classes: Number and brightness time series image classes.
In nandb: Number and Brightness Image Analysis

Description Usage Arguments Details Value See Also

The number_ts_img and brightness_ts_img classes are designed to hold objects which are images calculated from the number and brightness technique.

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number_ts_img(img, def, frames_per_set, overlapped, thresh, swaps, filt)

brightness_ts_img(img, def, frames_per_set, overlapped, thresh, swaps, filt)

`img`	The calculated number or brightness time series image series.
`def`	The number or brightness definition used.
`frames_per_set`	The number of frames used in the calculation of each point in the number or brightness time series.
`overlapped`	A boolean. `TRUE` indicates that the windows used to calculate consecutive brightnesses over time were overlapped, `FALSE` indicates that they were not.
`thresh`	A positive integer, possibly an object of class autothresholdr::th. If the different channels of the image had different thresholds, this argument may be specified as a vector or list (of positive integers, possibly objects of class autothresholdr::th), one element for each channel.
`swaps`	A non-negative integer with an attribute `auto`. If the different channels of the image had different `swaps`, this argument may be specified as a list (of non-negative integers with attributes `auto`), one element for each channel. For undetrended images, set `swaps = NA`.
`filt`	A string, the filtering method used. Must be either `"mean"` or `"median"`, or `NA` for no filtering. If the different channels of the image had different filters, this may be specified as a character vector, one element for each channel.

An object of class number_ts_img or brightness_ts_img is a 3- or 4-dimensional array of real numbers with 4 attributes:

def: Are we using the "N" or "n" definition of number, or the "B" or "epsilon" definition of brightness?
thresh: A positive integer, possibly an object of class autothresholdr::th detailing which threshold and thresholding method was used in preprocessing (in the multi-channel case, one threshold per channel is given).
swaps: A non-negative integer indicating the number of swaps used for Robin Hood detrending, with an attribute auto which is a logical indicating whether or not the parameter was chosen automatically (in the multi-channel case, one swaps per channel is given).
frames_per_set: A positive integer detailing how many frames were used in the calculation of each point in the number or brightness time series.
overlapped: A boolean. TRUE indicates that the windows used to calculate consecutive brightnesses over time were overlapped, FALSE indicates that they were not.