| cyto_extract | R Documentation | 
cyto_extract is essentially a wrapper for
gs_pop_get_data which also
accepts flowFrame or
flowSet objects. The parent
population is extracted from
GatingHierarchy or
GatingSet objects whilst
flowFrame or flowSet objects are returned as is.
cyto_extract(
  x,
  parent = NULL,
  select = NULL,
  copy = FALSE,
  raw = FALSE,
  channels = NULL,
  ...
)
| x | object of class  | 
| parent | name of the parent population to extract from
 | 
| select | named list containing experimental variables to be used to
select samples using  | 
| copy | logical indicating whether a deep copy of the extracted data should be returned. | 
| raw | logical indicating whether a list of raw data matrices should be returned instead of a flowFrame or flowSet. | 
| channels | names of the markers or channels for which data should be extracted, set to all channels by default. | 
| ... | additional arguments passed to
 | 
either a flowFrame or a cytoset  by default. A list of
raw data matrices when raw is set to TRUE.
Dillon Hammill, Dillon.Hammill@anu.edu.au
# Load in CytoExploreRData to access data
library(CytoExploreRData)
# GatingSet
gs <- GatingSet(Activation)
# Extract cytoframe
cf <- cyto_extract(gs[[1]], parent = "root")
# Extract cytoset
cs <- cyto_extract(gs, parent = "root")
# Extract raw data matrices
mt <- cyto_extract(gs, parent = "root", raw = TRUE)
mt[["Activation_1.fcs"]]
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