Treat DPT object as a matrix of cell-by-cell DPT distances.

# S4 method for DPT,index,index,logicalOrMissing
[(x, i, j, ..., drop = TRUE)

# S4 method for DPT,index,missing,logicalOrMissing
[(x, i, j, ...,
  drop = TRUE)

# S4 method for DPT,missing,index,logicalOrMissing
[(x, i, j, ...,
  drop = TRUE)

# S4 method for DPT,missing,missing,logicalOrMissing
[(x, i, j, ...,
  drop = TRUE)

# S4 method for DPT,index,index
[[(x, i, j, ...)

# S4 method for DPT
nrow(x)

# S4 method for DPT
ncol(x)

# S4 method for DPT
dim(x)

Arguments

x

DPT object.

i, j

Numeric or logical index.

...

ignored

drop

If TRUE, coerce result to a vector if it would otherwise have 1 %in% dim(result).

See also

Examples

data(guo_norm) dm <- DiffusionMap(guo_norm) dpt <- DPT(dm) set.seed(1) plot(dpt[random_root(dpt), ], Biobase::exprs(guo_norm)['DppaI', ])