This function takes a dendrogram class object as an input, and generate a gapdata class object as an output. By parsing the dendrogram object based on parameters for gaps, gaps between leaves in a dendrogram are introduced, and the coordinates of the leaves are adjusted. The gaps can be based on the a height (or distance) threshold to to introduce the gaps of the same width, or quantitative mapping of distance values mapped linearly or exponentially.
gap_data(
d,
mode = c("quantitative", "threshold"),
mapping = c("exponential", "linear"),
ratio = 0.2,
scale = 0.5,
threshold = 0,
verbose = FALSE,
...
)a list of data frames that contain coordinates for drawing a gapped dendrogram
dendrogram class object
gap mode, either "threshold" or "quantitative"
in case of quantitative mode, either "linear" or "exponential" mapping
the percentage of width allocated for the sum of gaps.
the sclae log base for the exponential mapping
the height at which the dendrogram is cult to infer clusters
logical for whether in verbose mode or not
ignored