Compute colors in classes distribution for folders

colors.in.classes.folder(
  path,
  color1,
  color2 = NULL,
  N = 7,
  type = "intensity",
  thresh1 = NULL,
  thresh2 = NULL,
  sd1 = 2,
  sd2 = 2,
  col1 = "green",
  col2 = "red",
  cores = 1,
  verbose = FALSE
)

Arguments

path: Path to root folder
color1: Image of first color
color2: Image of second color
N: Maximum number of classes
type: Type of spot definition, see details
thresh1: Threshold for first color image
thresh2: Threshold for second color image
sd1: For automatic threshold, that is: mean(color1)+sd1*sd(color1)
sd2: For automatic threshold of color2
col1: Name of color 1
col2: Name of color 2
cores: Number of cores used in parallel, cores=1 implies no parallelization
verbose: verbose mode

Value

Results are in folder colorsinclasses