Save/load a GatingSet/GatingSetList which is the gated flow data including gates and populations to/from the disk. The GatingSet object The internal C data structure (gating tree),ncdfFlowSet object(if applicable)

Retrieve sample names by scanning h5 files from a GatingSet folder

save_gs(
  gs,
  path,
  cdf = NULL,
  backend_opt = c("copy", "move", "skip", "symlink", "link"),
  ctx = .cytoctx_global,
  ...
)

load_gs(
  path,
  h5_readonly = NULL,
  backend_readonly = TRUE,
  select = character(),
  verbose = FALSE,
  ctx = .cytoctx_global
)

# S4 method for character
sampleNames(object)

save_gslist(gslist, path, ...)

load_gslist(path)

Arguments

gs

A GatingSet

path

A character scalar giving the path to save/load the GatingSet to/from.

backend_opt

a character scalar. The valid options are :"copy","move","skip","symlink" specifying what to do with the backend data file. Sometimes it is more efficient to move or create a symlink of the existing backend file to the archived folder. It is useful to "skip" archiving backend file if raw data has not been changed.

ctx

cytoctx object, see [cytoctx] for details

...

other arguments: not used.

h5_readonly

whether to open h5 data as read-only. Default is TRUE

select

an integer or character vector to select a subset of samples to load

verbose

logical flag to optionally print the versions of the libraries that were used to archive the GatingSet for troubleshooting purpose.

object

a GatingSet folder

gslist

A GatingSetList

See also

Examples

if (FALSE) { #G is a GatingSet save_gs(G,path="tempFolder") G1<-load_gs(path="tempFolder") #G is a GatingSet save_gslist(gslist1,path="tempFolder") gslist2<-load_gslist(path="tempFolder") } if (FALSE) { sampleNames(gsdir) }