Description Usage Arguments Value Examples
The variation-A of neighborful algorithm uses both param1_threshold and
param2_threshold exclusion criteria to remove colonies as excluded ones
by not removing empty_indices from outer loop and by removing
empty_indices from inner loop of the algorithm. The outer loop of the
algorithm is used to iterate over the list of colony indices. The inner
loop of the algorithm is used to iterate over all possible combinations of
adjoining neighbors of a selected colony from the outer loop.
1 2 3  | excluded_coloniesA(plateformat, colony_indices, colony_area_raw_data,
  empty_indices, excluded_colonies, plate_median_threshold, param1_threshold,
  param2_threshold, is_middle)
 | 
plateformat | 
 An integer which can be one of 96 or 384 or 1536  | 
colony_indices | 
 A vector of indices. If the value of   | 
colony_area_raw_data | 
 A numeric vector of raw data representing the area yeast grown at a specific location on a nutrient medium agar plate  | 
empty_indices | 
 A numeric vector of indexed empty locations. It can also be the indices of control colonies grown on a plate, which may be used for normalizing the colony area of a plate  | 
excluded_colonies | 
 A numeric vector of indices that are part of excluded colonies  | 
plate_median_threshold | 
 This threshold value is computed by multiplying
the value of   | 
param1_threshold | 
 The numeric value which can be one from   | 
param2_threshold | 
 The numeric value which can be one from   | 
is_middle | 
 logical. If   | 
The numeric vector of excluded colony indices by neighborful algorithm of variation-A
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25  | plateformat <- 1536
data_area <- simulated_data_1536(data_384 = colonyarea$data_subtypes,
                                 in_data_flow = "across",
                                 out_data_flow = "down",
                                 is_plate_coords = TRUE)
empty_indices <- which(convert_small_to_large(plate_from = 384,
                                              plate_to = plateformat,
                                              data_from = colonyarea$data_subtypes,
                                              in_data_flow = 'across',
                                              out_data_flow = "down",
                                              is_plate_coords = FALSE)$y %in% 'Empty')
p_median <- plate_median(empty_indices = empty_indices,
                         colony_area_raw_data = data_area$y)
plate_median_threshold <- p_median/4
all_indices <- 1:plateformat
middle_colony_indices <- all_indices[-(not_middle_indices(plateformat))]
excluded_coloniesA(plateformat = plateformat,
                   colony_indices = middle_colony_indices,
                   colony_area_raw_data = data_area$y,
                   empty_indices = empty_indices,
                   excluded_colonies = c(),
                   plate_median_threshold = plate_median_threshold,
                   param1_threshold = 6,
                   param2_threshold = 2,
                   is_middle = TRUE)
 | 
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