Nothing
regroup.gnsp <- function(df,clmns,agg='mean',by='gn_sp') {
df$PrimateID <- rownames(df)
df <- add.gnsp.clmn(df)
groupBy(df=df,aggregation=agg,by=by,clmns=clmns)
}
regroup.equivalent <- function(df, gnsp.old, gnsp.new, clmns, agg='mean', direction='old2new'){
if(direction=='old2new')
groupBy(df=df,aggregation=agg,by=gnsp.new,clmns=clmns)
else #(direction=='new2old')
groupBy(df=df,aggregation=agg,by=gnsp.old,clmns=clmns)
} # another option is to just update the gnsp column values with the new names of one or the other predecessory tables and remerge based on it
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