| nb-ts-img-classes | R Documentation |
The number_ts_img and brightness_ts_img classes are designed to hold
objects which are images calculated from the number and brightness
technique.
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. |
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 |
filt |
A string, the filtering method used. Must be either |
An object of class number_ts_img or brightness_ts_img is a 3- or
4-dimensional array of real numbers with 4 attributes:
defAre we using the "N" or "n" definition of number,
or the "B" or "epsilon" definition of brightness?
threshA 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).
swapsA
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_setA positive integer detailing how many frames were used in the calculation of each point in the number or brightness time series.
overlappedA boolean. TRUE
indicates that the windows used to calculate consecutive brightnesses over
time were overlapped, FALSE indicates that they were not.
An object of class number_ts_img or brightness_ts_img.
number_timeseries(), brightness_timeseries().
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