diff --git a/invivos/app.R b/invivos/app.R
index 2744d82..3a6adb0 100755
--- a/invivos/app.R
+++ b/invivos/app.R
@@ -104,6 +104,10 @@ server <- function(input, output) {
         taula$Minor<-taula$Minor
         taula["Volume"]<-((taula$Major*taula$Minor*taula$Minor)*(pi/6))
       }
+      if ("TS" %in% colnames(taula)){
+        taula<-dcast(taula, Cage+`ID animal`+`ID tumor`+Group~TS, value.var = "0")
+        taula["Volume"]<-taula$`TS-Deep`*taula$`TS-Length`*taula$`TS-Width`*pi/6
+      }
       dades$taula<-taula
       dades$groups<-read.xlsx(input$file_sizes$datapath, sheet = 2, colName=F)[,1]
       if (readxl::excel_sheets(input$file_sizes$datapath) %>% length > 2){
@@ -126,7 +130,7 @@ server <- function(input, output) {
   output$lowcut<-renderUI({
     if (!is.null(dades$taula)){
       cut.max<-round(max(dades$taula$Volume, na.rm = T), 2)
-      step<-round(max(dades$taula$Volume, na.rm = T)/20, 2)
+      step<-round(max(dades$taula$Volume, na.rm = T)/100, 2)
       sliderInput("lowcut", "Corte inferior", min=0, max=cut.max, step=step, value=0)
     }
   })
@@ -199,7 +203,7 @@ server <- function(input, output) {
           test.list[data]<-summary(res.aov)[[1]][[4]][1]
         }
       }
-      index<-which(unlist(lvn.list) == min(unlist(lvn.list)[which(unlist(pval.list) %in% sort(unlist(pval.list), decreasing = T)[1:20])]))
+      index<-which(unlist(lvn.list) == min(unlist(lvn.list)[which(unlist(pval.list) %in% sort(unlist(pval.list), decreasing = T)[1:20])]))[1]
       # print(df_sex)
       df_def[[sex.var]]<-merge(df_sex %>% select(-group), ind.list[[index]])
     }
@@ -211,8 +215,10 @@ server <- function(input, output) {
     }
     df_def<-merge(
       if(!is.null(dades$sex)){merge(dades$taula, dades$sex)}else{dades$taula %>% add_column(sex="undefined")} %>% select(-Group), 
-      df_def[,c("ID animal", "group")] %>% unique, all=T, by="ID animal") %>% 
-      select(c(`ID animal`, `sex`,`ID tumor`, Volume, Cage, Major, Minor, group))
+      df_def[,c("ID animal", "group")] %>% unique, all=T, by="ID animal")
+    if("DPV" %in% colnames(df_def)){df_def<-select(df_def, c(`ID animal`, `sex`,`ID tumor`, Volume, Cage, Major, Minor, group))}
+    if("TS-Deep" %in% colnames(df_def)){df_def<-select(df_def, c(`ID animal`, `sex`,`ID tumor`, Volume, Cage, `TS-Deep`,`TS-Length`,`TS-Width`, group))}
+    
     df_def[!paste0(df_def$`ID animal`, df_def$`ID tumor`) %in% paste0(df$`ID animal`, df$`ID tumor`),"group"]<-NA
     dades$db<-df_def