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					@ -148,19 +148,19 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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					    df<-df[!is.na(df$Volume),] | 
				
			
			
		
	
		
			
				
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					    up_cuttof<-input$upcut | 
				
			
			
		
	
		
			
				
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					    low_cuttof<-input$lowcut | 
				
			
			
		
	
		
			
				
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					    print(up_cuttof) | 
				
			
			
		
	
		
			
				
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					    # print(up_cuttof) | 
				
			
			
		
	
		
			
				
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					    df<-df[df$Volume < up_cuttof & df$Volume >= low_cuttof,] | 
				
			
			
		
	
		
			
				
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					    df<-merge(df, dades$sex) | 
				
			
			
		
	
		
			
				
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					    # df["Mouse"]<-gsub("[a-zA-Z]", "", df$MouseID) | 
				
			
			
		
	
		
			
				
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					    print(df$Volume) | 
				
			
			
		
	
		
			
				
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					    # print(df$Volume) | 
				
			
			
		
	
		
			
				
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					    s<-shapiro.test(df$Volume)[[2]] | 
				
			
			
		
	
		
			
				
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					    ngroup<-length(dades$groups) | 
				
			
			
		
	
		
			
				
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					    df_def<-list() | 
				
			
			
		
	
		
			
				
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					    print(head(df)) | 
				
			
			
		
	
		
			
				
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					    # print(head(df)) | 
				
			
			
		
	
		
			
				
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					    for (sex.var in c("male","female")){ | 
				
			
			
		
	
		
			
				
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					      print(sex.var) | 
				
			
			
		
	
		
			
				
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					      # print(sex.var) | 
				
			
			
		
	
		
			
				
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					      df_sex<-df %>% filter(`sex` == sex.var) | 
				
			
			
		
	
		
			
				
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					      ind.list<-list() | 
				
			
			
		
	
		
			
				
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					      pval.list<-list() | 
				
			
			
		
	
	
		
			
				
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					@ -191,7 +191,7 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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					        } | 
				
			
			
		
	
		
			
				
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					      } | 
				
			
			
		
	
		
			
				
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					      index<-which(unlist(lvn.list) == min(unlist(lvn.list)[which(unlist(pval.list) %in% sort(unlist(pval.list), decreasing = T)[1:20])])) | 
				
			
			
		
	
		
			
				
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					      print(df_sex) | 
				
			
			
		
	
		
			
				
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					      # print(df_sex) | 
				
			
			
		
	
		
			
				
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					      df_def[[sex.var]]<-merge(df_sex %>% select(-group), ind.list[[index]]) | 
				
			
			
		
	
		
			
				
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					    } | 
				
			
			
		
	
		
			
				
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					    # df_def<-do.call(rbind, c(df_def, make.row.names=F)) | 
				
			
			
		
	
	
		
			
				
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					@ -347,7 +347,7 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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					      } | 
				
			
			
		
	
		
			
				
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					      table<-melt(table, id=colnames(table)[colnames(table) %in% col_nodays], variable.name = "Timepoint") | 
				
			
			
		
	
		
			
				
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					      table$Timepoint<-gsub("[A-Za-z ]","",table$Timepoint) | 
				
			
			
		
	
		
			
				
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					      print(table) | 
				
			
			
		
	
		
			
				
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					      # print(table) | 
				
			
			
		
	
		
			
				
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					      if ("DPV" %in% colnames(table)){ | 
				
			
			
		
	
		
			
				
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					        table<-dcast(table, Cage+`ID animal`+`ID tumor`+Group+Timepoint~DPV, value.var = "value") | 
				
			
			
		
	
		
			
				
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					        table$Major<-table$Major | 
				
			
			
		
	
	
		
			
				
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					@ -398,7 +398,7 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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					    if (!is.null(input$file_analy) & !is.null(analysis$taula_def)){ | 
				
			
			
		
	
		
			
				
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					      observeEvent(analysis$taula_def, {}) | 
				
			
			
		
	
		
			
				
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					      table<-analysis$taula_def | 
				
			
			
		
	
		
			
				
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					      print(table , ) | 
				
			
			
		
	
		
			
				
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					      print(table) | 
				
			
			
		
	
		
			
				
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					      if (input$vacc == "Sí"){ | 
				
			
			
		
	
		
			
				
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					        ggplot(table, aes(as.numeric(as.character(Timepoint)), Volume, color=Group, group=`ID animal`))+ | 
				
			
			
		
	
		
			
				
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					          # geom_errorbar(stat="summary", width=0.05)+ | 
				
			
			
		
	
	
		
			
				
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