R: Cross-correlated number and brightness time series image...

cc-nb-ts-img-classes {nandb}

R Documentation

Cross-correlated number and brightness time series image classes.

Description

The cc_number_ts_img and cc_brightness_ts_img classes are designed to hold objects which are images calculated from the cross-correlated number and brightness technique.

Usage

cc_number_ts_img(img, frames_per_set, overlapped, thresh, swaps, filt)

cc_brightness_ts_img(img, frames_per_set, overlapped, thresh, swaps, filt)

Arguments

`img`	The calculated cross-correlated number or brightness time series image series.
`frames_per_set`	The number of frames used in the calculation of each point in the cross-correlated 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.

Details

An object of class cc_number_ts_img or cc_brightness_ts_img is a 4-dimensional array of real numbers in the mould of an ijtiff_img with 3 attributes:

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 parameter 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.

Value