| add_dimred_projection {dynwrap} | R Documentation | 
Constructs a trajectory by projecting cells within a dimensionality reduction
Description
A dimensionality reduction of cells and milestones is used, along with the milestone network, to project cells onto the nearest edge. Optionally, a cell grouping can be given which will restrict the edges on which a cell can be projected.
Usage
add_dimred_projection(
  dataset,
  milestone_ids = NULL,
  milestone_network,
  dimred,
  dimred_milestones,
  grouping = NULL,
  ...
)
Arguments
| dataset | A dataset created by  | 
| milestone_ids | The ids of the milestones in the trajectory. Type: Character vector. | 
| milestone_network | The network of the milestones. Type: Data frame(from = character, to = character, length = numeric, directed = logical). | 
| dimred | Can be 
 | 
| dimred_milestones | An optional dimensionality reduction of the milestones. A matrix with milestones in rows and components (comp_1, comp_2, ...) in columns This will be automatically calculated if  | 
| grouping | A grouping of the cells, can be a named vector or a dataframe with group_id and cell_id | 
| ... | extra information to be stored in the wrapper. | 
Value
A trajectory object
Examples
library(tibble)
dataset <- wrap_data(cell_ids = letters)
milestone_network <- tibble::tibble(
  from = c("A", "B", "B"),
  to = c("B", "C", "D"),
  directed = TRUE,
  length = 1
)
milestone_network
dimred <- matrix(
  runif(length(dataset$cell_ids) * 2),
  ncol = 2,
  dimnames = list(dataset$cell_ids, c("comp_1", "comp_2"))
)
dimred
dimred_milestones <- matrix(
  runif(2*4),
  ncol = 2,
  dimnames = list(c("A", "B", "C", "D"), c("comp_1", "comp_2"))
)
dimred_milestones
trajectory <- add_dimred_projection(
  dataset,
  milestone_network = milestone_network,
  dimred = dimred,
  dimred_milestones = dimred_milestones
)
# for plotting the result, install dynplot
#- dynplot::plot_graph(trajectory)