Nothing
#' @include GatingSet_Methods.R
NULL
#' Class \code{"GatingSetList"}
#'
#' A list of of \code{GatingSet} objects. This class exists for method dispatching.
#'
#' @details
#' Objects store a collection of GatingSets,which usually has the same gating trees and markers.
#' Most GatingSets methods can be applied to GatingSetList.
#'
#' @seealso
#' \code{\linkS4class{GatingSet}}
#' \code{\linkS4class{GatingHierarchy}}
#'
#' @examples
#' \dontrun{
#' #load several GatingSets from disk
#' gs_list<-lapply(list.files("../gs_toMerge",full=T) ,function(this_folder){
#' load_gs(this_folder)
#' })
#'
#' #gs_list is a list
#' gs_groups <- merge(gs_list)
#' #returns a list of GatingSetList objects
#' gslist2 <- gs_groups[[2]]
#' #gslist2 is a GatingSetList that contains multiple GatingSets and they share the same gating and data structure
#' gslist2
#' class(gslist2)
#' sampleNames(gslist2)
#'
#' #reference a GatingSet by numeric index
#' gslist2[[1]]
#' #reference a GatingSet by character index
#' gslist2[["30104.fcs"]]
#'
#' #loop through all GatingSets within GatingSetList
#' lapply(gslist2,sampleNames)
#'
#' #subset a GatingSetList by [
#' sampleNames(gslist2[c(4,1)])
#' sampleNames(gslist2[c(1,4)])
#' gslist2[c("30104.fcs")]
#'
#' #get flow data from it
#' gs_pop_get_data(gslist2)
#' #get gated flow data from a particular popoulation
#' gs_pop_get_data(gslist2, "3+")
#'
#' #extract the gates associated with one popoulation
#' gs_pop_get_gate(gslist2,"3+")
#' gs_pop_get_gate(gslist2,5)
#'
#' #extract the pheno data
#' pData(gslist2[3:1])
#' #modify the pheno data
#' pd <- pData(gslist2)
#' pd$id <- 1:nrow(pd)
#' pData(gslist2) <- pd
#' pData(gslist2[3:2])
#'
#' #plot the gate
#' autoplot(gslist2[1:2],5)
#'
#' #remove cerntain gates by loop through GatingSets
#' gs_get_pop_paths(gslist2[[1]])
#' lapply(gslist2,function(gs)gs_pop_remove("Excl",gs = gs))
#'
#' #extract the stats
#' gs_pop_get_count_fast(gslist2)
#' #extract statistics by using getQAStats defined in QUALIFIER package
#' res<-getQAStats(gslist2[c(4,2)],isMFI=F,isSpike=F,nslaves=1)
#'
#' #archive the GatingSetList
#' save_gslist(gslist2, path ="~/rglab/workspace/flowIncubator/output/gslist",overwrite=T)
#' gslist2 <- load_gslist(path ="~/rglab/workspace/flowIncubator/output/gslist")
#'
#' #convert GatingSetList into one GatingSet by merge_list_to_gs
#' gs_merged2 <- merge_list_to_gs(gslist2)
#' gs_merged2
#' }
#'
#' @name GatingSetList-class
#' @rdname GatingSetList-class
#' @exportClass GatingSetList
#' @aliases
#' GatingSetList-class
#' GatingSetList
setClass("GatingSetList", contains = "ncdfFlowList", slots = c(guid = "character"))
validGatingSetListObject <- function(object){
gs_list <- object@data
#check overlapping samples
gs_samples <- unlist(lapply(gs_list, sampleNames))
if(any(duplicated(gs_samples))){
return ("There are overlapping samples across GatingSets!")
}
gs1 <- gs_list[[1]]
#compare GatingSets
res <- sapply(gs_list[-1],function(this_gs){
.compareGatingSet(this_gs,gs1)
})
is_error <- sapply(res,function(this_res){
is.na(as.logical(this_res))
})
if(any(is_error)){
this_error_ind <- which(is_error)[1]
return (paste("GatingSet 1 and",this_error_ind+1,":",res[this_error_ind]))
}
#check sample vector
if(!ncdfFlow:::.isValidSamples(names(object@samples),object)){
return ("'samples' slot is not consisitent with sample names from GatingSets!")
}
return (TRUE)
}
setValidity("GatingSetList", validGatingSetListObject)
#' @description use \code{GatingSetList} constructor to create a GatingSetList from a list of GatingSet
#'
#' @param x a \code{list} of \code{GatingSet}
#' @param samples \code{character} vector specifying the order of samples.
#' if not specified, the samples are ordered as the underlying stored order.
#'
#' @rdname GatingSetList-class
#' @export
#' @examples
#' \dontrun{
#' samleNames(gsA) # return A1, A2
#' samleNames(gsB) # return B1, B2
#' gs.list <- list(gsA, gsB)
#' gslist<- GatingSetList(gs.list)
#' sampleNames(gslist) #return A1,A2,B1,B2
#'
#' #set different order when create the GatingSetList
#' gslist<- GatingSetList(gs.list, samples = c("A1","B1", "A2", "B2"))
#' sampleNames(gslist) #return A1,B1,A2,B2
#' }
GatingSetList <- function(x,samples = NULL)
{
.Deprecated("merge_list_to_gs")
names(x)<-NULL#strip names from the list because rbind2 doesn't like it
flowCore:::checkClass(x, "list")
if(is.null(samples)){
x <- ncdfFlowList(x)
}else{
x <- ncdfFlowList(x, samples)
}
x<- as(x, "GatingSetList")
if(validObject(x)){
gslist <- x@data
# make sure the column names of flow data are in the same order
cols <- flowCore::colnames(gs_cyto_data(gslist[[1]]))
gslist <- lapply(gslist, function(gs){
gs_cyto_data(gs) <- gs_cyto_data(gs)[,cols]
gs
})
x@data <- gslist
x@guid <- .uuid_gen()
x
}
}
#' @templateVar old rbind2
#' @templateVar new gslist_to_gs
#' @template template-depr_pkg
NULL
#' @export
setMethod("rbind2",
signature=signature("GatingSetList","missing"),
definition=function(x,y="missing",...)
{
.Defunct("merge_list_to_gs")
})
#' Merge a GatingSetList into a single GatingSet
#'
#' @name gslist_to_gs
#' @aliases rbind2,GatingSetList,missing-method
#' @param x GatingSetList
#' @param ... other arguments passed to \code{gslist_to_gs} method for \code{ncdfFlowList}
#' @export
gslist_to_gs <- function(x,...){
.Defunct("merge_list_to_gs")
#combine tree structure
ptrlist <- lapply(x,function(gs)gs@pointer, level =1)
sampleList <- lapply(x, sampleNames, level =1)
new("GatingSet", pointer = .cpp_combineGatingSet(ptrlist,sampleList))
}
#' @name recompute
#' @export
recompute.GatingSetList <- function(x, ...){
invisible(lapply(x, recompute, ..., level = 1))
}
#' @export
setMethod("[",c(x="GatingSetList",i="ANY"),function(x,i,j,...){
object <- callNextMethod()
as(object, "GatingSetList")
})
#' @export
setReplaceMethod("pData",c("GatingSetList","data.frame"),function(object,value){
res <- callNextMethod()
as(res, "GatingSetList")
})
#' @export
setMethod("getData",signature(obj="GatingSetList",y="ANY"),function(obj,y, ...){
.Deprecated("gs_pop_get_data")
gs_pop_get_data(obj, y)
})
#' @export
setMethod("getGate",signature(obj="GatingSetList",y="character"),function(obj,y){
.Deprecated("gs_pop_get_gate")
gs_pop_get_gate(obj, y)
})
setMethod("plotGate",signature(x="GatingSetList",y="character"),function(x,y, ...){
.Defunct("ggcyto::autoplot", "flowWorkspace")
})
.gslist_get_pop_stats <- function(x, format = c("long", "wide"), ...){
format <- match.arg(format)
res <- lapply(x,gs_pop_get_count_fast, level =1, format = format,...)
if(format == "long"){
# browser()
res <- rbindlist(res)
}else{
res<-Reduce(function(x,y)
{
merge(x,y,all=TRUE)
},
lapply(res,function(x)
{
rn<-rownames(x);
x<-data.table(x);
x$key<-rn;
setkeyv(x,"key")
}))
rn<-res$key
res[,key:=NULL]
res<-as.matrix(res)
rownames(res)<-rn
}
res
}
#' @export
setMethod("keyword",c("GatingSetList", "missing"),function(object,keyword = "missing", ...){
selectMethod("keyword",signature = c(x="GatingSet",y="missing"))(object, keyword, ...)
})
#' @export
setMethod("keyword",c("GatingSetList","character"),function(object,keyword){
selectMethod("keyword",signature = c(x="GatingSet",y="character"))(object, keyword)
})
#' Replace a single marker name with another
#' Scan through a gating set list and rename all flowFrames with marker \code{match}
#' to marker \code{replace}
#'@return a \code{GatingSetList}
#' @noRd
.renameMarker<-function(g=NA,match=NA,replace=NA){
if(!inherits(g,"GatingSetList"))
stop("g must be a GatingSetList")
listofgs<-lapply(g@data,function(x,m=match,r=replace){
samps<-sampleNames(gs_cyto_data(x))
fd<-gs_cyto_data(x)
for(i in samps){
f <- fd@frames[[i]]
adf <- parameters(f)
pd <- pData(adf)
mtch <- as.matrix(pd["desc"])%in%m
if(any(mtch)){
pd[mtch,"desc"]<-r
pData(adf)<-pd
parameters(f)<-adf
fd@frames[[i]]<-f
}
}
gs_cyto_data(x)<-fd
x
})
listofgs
g@data<-listofgs
g
}
#' @export
setMethod("transform",
signature = signature(`_data` = "GatingSetList"),
definition = function(`_data`, ...)
{
res <- lapply(`_data`, function(gs)transform(gs, ...), level = 1)
GatingSetList(res)
})
#' @export
setMethod("compensate", signature=signature(x="GatingSetList", spillover="ANY"),
definition=function(x, spillover){
res <- lapply(x, function(gs)compensate(gs, spillover), level = 1)
GatingSetList(res)
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.