diff --git a/NAMESPACE b/NAMESPACE
index e883615..bec70c0 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,231 +1,230 @@
 #exportPattern("^[[:alpha:]]+")
 
 export(
   "aggregate.bootstrap", "aggregate.bootstrap.list", "aggregate.challenge", "aggregate.ranked", "aggregate.ranked.list",
   "aggregateList", #?
   "aggregateThenRank",
   "as.challenge",
   "as.relation.challenge.incidence", "as.relation.ranked.list",
   "bootstrap", "bootstrap.ranked", "bootstrap.ranked.list", #"bootstrap.default",
-  "boxplot.ranked", "boxplot.ranked.list", "boxplot.bootstrap.list", "boxplot.comparedRanks.list",
+  "boxplot.ranked.list", "boxplot.bootstrap.list", "boxplot.comparedRanks.list",
   #"check_strict_preference",
   "compareRanks",    "compareRanks.ranked",    "compareRanks.ranked.list", # "compareRanks.default",
   "consensus",       "consensus.ranked.list", #"consensus.default",
   "Decision", "decision.challenge",
   "blobplot","blobplot.ranked",
   "default_colors",
   "density.bootstrap.list",
   "extract.workflow",
   "kendall",    "kendall.bootstrap.list",
   #  "melt.aggregated.list",    "melt.ranked", "melt.ranked.list",
   # "merge.list",
   "lineplot.challenge",
   "methodsplot","methodsplot.challenge","methodsplot.ranked",
   "network", "plot.network",
   "podium", "podium.ranked","podium.ranked.list", "podium.challenge",#"podium.default",
   "print.aggregated", "print.aggregated.list", "print.comparedRanks",    "print.ranked", "print.ranked.list",
   #"quickmerge.list",
   "rank",    "rank.aggregated", "rank.aggregated.list", "rank.aggregatedRanks", "rank.aggregatedRanks.list", "rank.challenge", #"rank.default",
   "rankFrequencies", "rankFrequencies.bootstrap",    "rankFrequencies.bootstrap.list", #"rankFrequencies.default",
   #"rankNA2",
   "rankThenAggregate",
   "rankingHeatmap","rankingHeatmap.ranked","rankingHeatmap.ranked.list", "relation_dissimilarity.ranked.list",
   "report", "report.bootstrap.list",
   "second",
   "select.if", "select.if.aggregated.list", "select.if.comparedRanks.list", "select.if.list", "select.if.ranked.list",
   "significanceMap",
   "spearmansFootrule", "spearmansWeightedFootrule",
   "splitby",
   "stability", "stabilityByAlgorithm", "stabilityByAlgorithmStacked","stabilityByTask",
   "stability.ranked.list", "stability.bootstrap","relation_dissimilarity",
   "stabilityByAlgorithm.bootstrap.list",
   "stabilityByAlgorithmStacked.bootstrap.list",
   "stabilityByTask.bootstrap.list",
   "subset.aggregated.list",    "subset.comparedRanks.list", "subset.list", "subset.ranked.list", "subset.bootstrap.list", "subset.ranked","subset.bootstrap",#"which.top",
   "test",    "test.challenge", "test.default",
   "testThenRank",
   "violin", "violin.bootstrap.list","violin.bootstrap",
   "winner", "winner.bootstrap",    "winner.bootstrap.list", "winner.default", "winner.ranked",    "winner.ranked.list",
   "winnerFrequencies",    "winnerFrequencies.bootstrap", "winnerFrequencies.bootstrap.list",    "winnerFrequencies.default"
   )
 
 
 importFrom("dplyr", "bind_rows","group_by","summarise","select_if","filter","mutate","right_join","anti_join","ungroup","arrange","desc")
 importFrom("rlang",":=",".data","!!")
 importFrom("reshape2","melt", "acast")
 importFrom("utils", "capture.output", "methods")
 importFrom("plyr", "llply")
 importFrom("knitr", "kable")
 importFrom("tidyr", "complete","expand")
 importFrom("purrr", "%>%")
 importFrom("rmarkdown", "render","word_document","pdf_document","html_document")
 importFrom("viridisLite", "viridis","cividis")
 importFrom("ggplot2", "aes","aes_string","geom_abline", "geom_bar", "geom_boxplot", "geom_count", "geom_density", "geom_jitter",
     "geom_line", "geom_point", "geom_raster", "geom_step", "geom_text", "geom_violin","annotate","guide_legend",
     "geom_vline", "ggplot", "ggtitle","vars","xlab","ylab","scale_size_area","theme_get","rel","geom_hline","ggplot_build","scale_fill_manual",
     "scale_y_continuous","coord_cartesian", "element_text", "facet_wrap", "position_jitter", "stat", "stat_summary", "theme", "unit","guides","scale_fill_viridis_c")
 importFrom("grDevices", "col2rgb", "gray", "rgb", "grey")
 importFrom("graphics", "abline", "axis", "barplot", "box", "layout",
                "legend", "par", "plot", "points", "segments","boxplot", "stripchart", "title", "grconvertX", "plot.new")
 importFrom("stats", "as.dist", "as.formula", "median", "p.adjust", "density",
                "quantile", "aggregate", "cor", "wilcox.test", "terms.formula", "complete.cases")
 importFrom("methods", "new")
 importFrom("relations","relation","as.relation",
     "relation_domain", "relation_incidence", "relation_is_asymmetric","relation_consensus","relation_ensemble",
     "relation_is_irreflexive", "relation_is_negatively_transitive",
     "relation_is_transitive", "relation_is_trichotomous", "relation_scores",
     "relation_violations","relation_dissimilarity")
 importFrom("graph", "addEdge")
 
 
 S3method(print, comparedRanks)
 S3method(print, aggregated)
 S3method(print, ranked)
 S3method(print, aggregated.list)
 S3method(print, ranked.list)
 
 S3method(aggregate, challenge)
 S3method(aggregate, ranked)
 S3method(aggregate, ranked.list)
 S3method(aggregate, bootstrap.list)
 S3method(aggregate, bootstrap)
 
 S3method(test, default)
 S3method(test, challenge)
 
 S3method(Aggregate, default)
 S3method(Aggregate, data.frame)
 S3method(Aggregate, list)
 
 S3method(Rank, default)
 S3method(Rank, data.frame)
 S3method(Rank, list)
 
 S3method(rank, default)
 S3method(rank, challenge)
 S3method(rank, aggregated)
 S3method(rank, aggregated.list)
 S3method(rank, aggregatedRanks)
 S3method(rank, aggregatedRanks.list)
 
 S3method(blobplot, default)
 S3method(blobplot, ranked)
 
 S3method(bootstrap, default)
 S3method(bootstrap, ranked)
 S3method(bootstrap, ranked.list)
 
 S3method(winner, default)
 S3method(winner, ranked)
 S3method(winner, ranked.list)
 S3method(winner, bootstrap)
 S3method(winner, bootstrap.list)
 
 S3method(rankFrequencies, default)
 S3method(rankFrequencies, bootstrap)
 S3method(rankFrequencies, bootstrap.list)
 
 S3method(winnerFrequencies, default)
 S3method(winnerFrequencies, bootstrap)
 S3method(winnerFrequencies, bootstrap.list)
 
 
 S3method(compareRanks,default)
 S3method(compareRanks,ranked)
 S3method(compareRanks,ranked.list)
 
 S3method(merge,list)
 
 S3method(melt,ranked.list)
 S3method(melt,ranked)
 S3method(melt,aggregated.list)
 
-S3method(boxplot,ranked)
 S3method(boxplot,ranked.list)
 S3method(boxplot,comparedRanks.list)
 S3method(boxplot,bootstrap.list)
 
 S3method(select.if,default)
 S3method(select.if,list)
 S3method(select.if,aggregated.list)
 S3method(select.if,ranked.list)
 S3method(select.if,comparedRanks.list)
 
 S3method(subset,list)
 S3method(subset,bootstrap.list)
 S3method(subset,aggregated.list)
 S3method(subset,ranked.list)
 S3method(subset,comparedRanks.list)
 S3method(subset,ranked)
 S3method(subset,bootstrap)
 
 
 S3method(podium,default)
 S3method(podium,challenge)
 S3method(podium,ranked)
 S3method(podium,ranked.list)
 
 S3method(network,default)
 S3method(network,ranked.list)
 S3method(network,dist)
 S3method(plot,network)
 
 S3method(density,bootstrap.list)
 
 S3method(as.relation,challenge.incidence)
 S3method(as.relation,ranked.list)
 
 S3method(subset,bootstrap.list)
 S3method(subset,ranked.list)
 S3method(subset,list)
 S3method(subset,comparedRanks.list)
 S3method(subset,aggregated.list)
 
 S3method(decision,challenge)
 S3method(decision,default)
 
 S3method(lineplot,challenge)
 S3method(lineplot,default)
 
 S3method(methodsplot,challenge)
 S3method(methodsplot,ranked)
 S3method(methodsplot,default)
 
 S3method(significanceMap,data.frame)
 S3method(significanceMap,ranked)
 S3method(significanceMap,ranked.list)
 S3method(significanceMap,default)
 
 
 
 S3method(violin,bootstrap.list)
 S3method(violin,bootstrap)
 S3method(violin,default)
 
 
 #S3method(rankingHeatmap,challenge)
 S3method(rankingHeatmap,ranked)
 S3method(rankingHeatmap,ranked.list)
 S3method(rankingHeatmap,default)
 
 S3method(relation_dissimilarity,ranked.list)
 S3method(relation_dissimilarity,default)
 
 S3method(stabilityByTask,bootstrap.list)
 S3method(stabilityByTask,default)
 S3method(stability,bootstrap)
 S3method(stability,default)
 S3method(stability,ranked.list)
 
 S3method(stabilityByAlgorithm,bootstrap.list)
 S3method(stabilityByAlgorithm,default)
 
 S3method(stabilityByAlgorithmStacked,bootstrap.list)
 S3method(stabilityByAlgorithmStacked,default)
 
 S3method(consensus,ranked.list)
 S3method(consensus,default)
 
 S3method(report,bootstrap.list)
 S3method(report,ranked.list)
 S3method(report,default)
diff --git a/R/boxplot.R b/R/boxplot.R
index d6a628a..7139c6e 100644
--- a/R/boxplot.R
+++ b/R/boxplot.R
@@ -1,95 +1,76 @@
 
-
-boxplot.ranked=function(x,
-                        color="blue",
-                        jitter.width=0.25,...){
-  algo=attr(x$data,"algorithm")
-  value=attr(x$data,"value")
-  ranking=x
-  x=x$data
-
-  x[[algo]]=factor(x[[algo]],
-                   levels=rownames(ranking$mat[order(ranking$mat$rank),]))
-  ggplot(aes_string(algo,value),data=x)+
-    geom_jitter(position=position_jitter(width=jitter.width, height=0),color=color,...)+
-    geom_boxplot(outlier.shape = NA,fill=NA)+
-    theme(axis.text.x=element_text(angle = -90, hjust = 0))
-
-}
-
-
 boxplot.ranked.list=function(x,
                              color="blue",
                              jitter.width=0.25,...){
   algo=attr(x$data,"algorithm")
   value=attr(x$data,"value")
   ranking=x
   x=x$data
 
   for (i in names(x)) {
     x[[i]][[algo]]=factor(x[[i]][[algo]],
                           levels=rownames(ranking$matlist[[i]][order(ranking$matlist[[i]]$rank),]))
   }
 
   a=lapply(1:length(x),function(id){
     ggplot(aes_string(algo,value),data=x[[id]])+
       geom_jitter(position=position_jitter(width=jitter.width, height=0),
                   color=color,...)+
       geom_boxplot(outlier.shape = NA,fill=NA)+
       ggtitle(names(x)[id]) +
       theme(axis.text.x=element_text(angle = -90, hjust = 0))
 
   })
 
   # Remove title for single-task data set
   if (length(a) == 1) {
     a[[1]]$labels$title <- NULL
   }
   a
 }
 
 
 
 
 
 
 boxplot.comparedRanks.list=function(x,...){
   tau=sapply(x,function(z) z$tau)
   boxplot(tau,ylim=c(0,1.0),las=2, outline=FALSE,
           ylab="Kendall's tau",...)
   stripchart(tau,
              vertical = TRUE, method = "jitter",
              pch = 21, col = "blue", add=TRUE,...)
 
 }
 
 
 boxplot.bootstrap.list=function(x,...){
   winner.noboot=winner.ranked.list(x)
   x2=winnerFrequencies(x)
   n.bootstraps= ncol(x$bootsrappedRanks[[1]])
   perc_boot_Winner=lapply(1:length(x2),function(i){
     x2.i=x2[[i]]
     winner.id=which(rownames(x2.i)%in%rownames(winner.noboot[[i]])) #could be multiple winners!!!!
     100*x2.i[winner.id,3,drop=F]/n.bootstraps
   })
 
   boxplot(unlist(perc_boot_Winner),ylim=c(0,100),las=2, outline=FALSE,
           ylab="% Bootstraps",xlab="Winner ranks 1",
           sub=paste(n.bootstraps,"Bootstraps"),...)
   stripchart(unlist(perc_boot_Winner),
              vertical = TRUE, method = "jitter",
              pch = 21, col = "blue", add=TRUE,...)
 }
 
 
 
 
 # winnerFrequencies(bb)
  # winner.datax=winner(datax, largeBetter=TRUE) #no bootstrap
  #  x2=numberRank1(datax,originalranking.datax,datax_boot)
  #  boot_W_1=x2[which(x2$algorithm_id==winner.datax),3]
  #  boot_NW_1=sum(x2[-which(x2$algorithm_id==winner.datax),3]>9)
 # perc_boot_Winner=boot_W_1/Data$N_Bootstraps
 # perc_boot_NotWinner=Data$Bootstrap_Rank1_NotWinner/(Data$N_Algo-1)