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					@ -397,7 +397,7 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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					        print(levels) | 
				
			
			
		
	
		
			
				
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					        table$Group<-factor(table$Group, levels=levels) | 
				
			
			
		
	
		
			
				
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					        table<-filter(table, !is.na(Group)) | 
				
			
			
		
	
		
			
				
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					      } | 
				
			
			
		
	
		
			
				
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					      }else(table$Group<-factor(table$Group)) | 
				
			
			
		
	
		
			
				
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					      print(str(table)) | 
				
			
			
		
	
		
			
				
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					      analysis$taula<-table | 
				
			
			
		
	
		
			
				
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					    } | 
				
			
			
		
	
	
		
			
				
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					@ -816,23 +816,24 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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					          hues <- seq(15, 375, length=n+1) | 
				
			
			
		
	
		
			
				
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					          hcl(h=hues, l=l, c=100)[1:n] | 
				
			
			
		
	
		
			
				
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					        } | 
				
			
			
		
	
		
			
				
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					        if (input$vacc == "Sí"){ | 
				
			
			
		
	
		
			
				
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					          g<-list() | 
				
			
			
		
	
		
			
				
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					          count<-1 | 
				
			
			
		
	
		
			
				
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					          for (side in c("L","R")){ | 
				
			
			
		
	
		
			
				
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					            tableR<-filter(table, Side == side) %>% filter(!is.na(Volume)) | 
				
			
			
		
	
		
			
				
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					            endtime<-dcast(tableR %>% filter(Volume < input$cutoff), Cage+Animal+Side+Group~., value.var = "DayPostInoc", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") | 
				
			
			
		
	
		
			
				
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					            endtime["Dead"]<-dcast(tableR, Cage+Animal+Side+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > input$cutoff | 
				
			
			
		
	
		
			
				
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					            endtime<-dcast(tableR %>% filter(Volume < (input$cutoff*as.numeric(input$unit_fact))), Cage+Animal+Side+Group~., value.var = "DayPostInoc", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") | 
				
			
			
		
	
		
			
				
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					            endtime["Dead"]<-dcast(tableR, Cage+Animal+Side+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > (input$cutoff*as.numeric(input$unit_fact)) | 
				
			
			
		
	
		
			
				
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					            table_tumor<-endtime | 
				
			
			
		
	
		
			
				
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					            if (input$colors != ""){ | 
				
			
			
		
	
		
			
				
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					              col<-input$colors | 
				
			
			
		
	
		
			
				
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					              col<-strsplit(input$colors, ",")[[1]] | 
				
			
			
		
	
		
			
				
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					            }else{ | 
				
			
			
		
	
		
			
				
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					              col<-gg_color_hue(length(unique(endtime$Group))) | 
				
			
			
		
	
		
			
				
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					            } | 
				
			
			
		
	
		
			
				
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					            g[[count]]<-ggsurvplot(survfit(Surv(table_tumor$end, table_tumor$Dead) ~ table_tumor$Group, data=table_tumor), | 
				
			
			
		
	
		
			
				
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					            table_tumor$Group<-factor(table_tumor$Group, levels = levels(analysis$taula$Group)) | 
				
			
			
		
	
		
			
				
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					            g[[count]]<-ggsurvplot(survfit(Surv(table_tumor$end, table_tumor$Dead) ~ Group, data=table_tumor), | 
				
			
			
		
	
		
			
				
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					                                pval = T, pval.method = T, | 
				
			
			
		
	
		
			
				
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					                                title = side, | 
				
			
			
		
	
		
			
				
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					                                # legend.labs = paste(c("< median", ">= median"), "MICA"), | 
				
			
			
		
	
		
			
				
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					                                ggtheme=theme_classic(base_size=input$`font-size`), | 
				
			
			
		
	
		
			
				
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					                                palette = col | 
				
			
			
		
	
		
			
				
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					            ) | 
				
			
			
		
	
	
		
			
				
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					@ -842,18 +843,18 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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					        }else{ | 
				
			
			
		
	
		
			
				
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					          tableR<-table %>% filter(!is.na(Volume)) | 
				
			
			
		
	
		
			
				
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					          endtime<-dcast(tableR %>% filter(Volume < input$cutoff), Animal+Group~., value.var = "DayPostInoc", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") | 
				
			
			
		
	
		
			
				
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					          endtime["Dead"]<-dcast(tableR, Animal+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > input$cutoff | 
				
			
			
		
	
		
			
				
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					          endtime<-dcast(tableR %>% filter(Volume < (input$cutoff*as.numeric(input$unit_fact))), Animal+Group~., value.var = "DayPostInoc", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") | 
				
			
			
		
	
		
			
				
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					          endtime["Dead"]<-dcast(tableR, Animal+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > (input$cutoff*as.numeric(input$unit_fact)) | 
				
			
			
		
	
		
			
				
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					          table_tumor<-endtime | 
				
			
			
		
	
		
			
				
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					          if (input$colors != ""){ | 
				
			
			
		
	
		
			
				
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					            col<-input$colors | 
				
			
			
		
	
		
			
				
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					            col<-strsplit(input$colors, ",")[[1]] | 
				
			
			
		
	
		
			
				
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					          }else{ | 
				
			
			
		
	
		
			
				
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					            col<-gg_color_hue(length(unique(table_tumor$Group))) | 
				
			
			
		
	
		
			
				
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					          } | 
				
			
			
		
	
		
			
				
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					          g<-ggsurvplot(survfit(Surv(table_tumor$end, table_tumor$Dead) ~ table_tumor$Group, data=table_tumor), | 
				
			
			
		
	
		
			
				
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					          table_tumor$Group<-factor(table_tumor$Group, levels = levels(analysis$taula$Group)) | 
				
			
			
		
	
		
			
				
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					          g<-ggsurvplot(survfit(Surv(table_tumor$end, table_tumor$Dead) ~ Group, data=table_tumor), | 
				
			
			
		
	
		
			
				
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					                        pval = T, pval.method = T, | 
				
			
			
		
	
		
			
				
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					                        # legend.labs = paste(c("< median", ">= median"), "MICA"), | 
				
			
			
		
	
		
			
				
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					                        ggtheme=theme_classic(base_size=input$`font-size`), | 
				
			
			
		
	
		
			
				
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					                        # ggtheme=theme_classic(base_size=input$`font-size`), | 
				
			
			
		
	
		
			
				
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					                        palette = col | 
				
			
			
		
	
		
			
				
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					          ) | 
				
			
			
		
	
		
			
				
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					        } | 
				
			
			
		
	
	
		
			
				
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