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DPT
plot.DPT(x, root = NULL, paths_to = integer(0L), dcs = 1:2, divide = integer(0L), w_width = 0.1, col_by = "dpt", col_path = rev(palette()), col_tip = "red", ..., col = NULL, legend_main = col_by)# S4 method for DPT,numeric plot(x, y, ...)# S4 method for DPT,missing plot(x, y, ...)
# S4 method for DPT,numeric plot(x, y, ...)
# S4 method for DPT,missing plot(x, y, ...)
col_by = 'branch'
branch_divide
smth.gaussian
branches[[1]]
plot.DiffusionMap
col_by
c(root, branches)
data(guo_norm) dm <- DiffusionMap(guo_norm) dpt <- DPT(dm, branching = TRUE) plot(dpt) plot(dpt, 2L, col_by = 'branch') plot(dpt, 1L, 2:3, col_by = 'num_cells') plot(dpt, col_by = 'DPT3')
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