Patch the bug on aggregate when aggregating by samples
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@@ -12,6 +12,7 @@ aggregate.metabarcoding.data=function(x, by, FUN,...,
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default.layer=NULL,
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layers=NULL) {
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uniq.value = function(z) {
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if (is.null(z) |
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@@ -56,19 +57,22 @@ aggregate.metabarcoding.data=function(x, by, FUN,...,
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MARGIN=2
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reads = x@reads
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if (MARGIN==1) {
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# prepare the aggrevation arguments for the read table
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# from the function arguments
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dotted = list(...)
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if (length(dotted) > 0)
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if (length(dotted) > 0)
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aggr.args = list(reads,by=by,FUN=FUN,...=dotted,simplify=FALSE)
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else
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aggr.args = list(reads,by=by,FUN=FUN,simplify=FALSE)
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# Aggregate the read table
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ragr = do.call(aggregate,aggr.args)
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# extrat new ids from the aggregated table
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ncat = length(by)
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ids = as.character(interaction(ragr[,1:ncat,drop=FALSE]))
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@@ -118,27 +122,28 @@ aggregate.metabarcoding.data=function(x, by, FUN,...,
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rownames(lagr)=ids
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la[[n]]=lagr
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}
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# aggragate the sample table according to the same criteria
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#
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# TODO: We have to take special care of factors in the samples
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# data.frame
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sagr = aggregate(samples(x),by,uniq.value,simplify=FALSE)
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# move the first columns of the resulting data frame (the aggregations
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# modalities to the last columns of the data.frame
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sagr = sagr[,c((ncat+1):(dim(sagr)[2]),1:ncat),drop=FALSE]
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larg = c(lapply(sagr,unlist),list(stringsAsFactors=FALSE))
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sagr = do.call(data.frame,larg)
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sagr = data.frame(do.call(data.frame,larg))
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# set samples ids to the ids computed from modalities
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sagr$id=ids
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rownames(sagr)=ids
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sagr$id=ids
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# build the new metabarcoding data instance
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newdata = copy.metabarcoding.data(x,reads=ragr,samples=sagr)
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newdata = copy.metabarcoding.data(x,reads=ragr,samples=sagr,layers=la)
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}
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else {
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# prepare the aggregation arguments for the read table
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