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					@ -521,7 +521,7 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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					            tableR<-filter(table, `ID tumor` == side) %>% filter(!is.na(Volume)) | 
				
			
			
		
	
		
			
				
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					            endtime<-dcast(tableR %>% filter(Volume < cutoff), Cage+`ID animal`+`ID tumor`+Group~., value.var = "Timepoint", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") | 
				
			
			
		
	
		
			
				
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					            endtime["Dead"]<-dcast(tableR, Cage+`ID animal`+`ID tumor`+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > input$cutoff | 
				
			
			
		
	
		
			
				
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					            table_tumor<<-endtime | 
				
			
			
		
	
		
			
				
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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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					            }else{ | 
				
			
			
		
	
	
		
			
				
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					@ -544,6 +544,10 @@ server <- function(input, output) { | 
				
			
			
		
	
		
			
				
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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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					          tableR<-table %>% filter(!is.na(Volume)) | 
				
			
			
		
	
		
			
				
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					          endtime<-dcast(tableR %>% filter(Volume < cutoff), `ID animal`+Group~., value.var = "Timepoint", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") | 
				
			
			
		
	
		
			
				
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					          endtime["Dead"]<-dcast(tableR, `ID animal`+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > input$cutoff | 
				
			
			
		
	
		
			
				
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					          table_tumor<-endtime | 
				
			
			
		
	
		
			
				
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					          g<-ggsurvplot(survfit(Surv(table_tumor$end, table_tumor$Dead) ~ table_tumor$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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