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@ -493,15 +493,15 @@ server <- function(input, output) { |
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}) |
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output$survival<-renderPlot({ |
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if (!is.null(input$file_analy) & !is.null(analysis$taula_def)){ |
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observeEvent(analysis$taula_def, {}) |
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table<-analysis$taula_def |
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if (!is.null(input$file_analy) & !is.null(analysis$taula)){ |
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observeEvent(analysis$taula, {}) |
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table<-analysis$taula |
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if (input$vacc == "Sí"){ |
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g<-list() |
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for (side in c("L","R")){ |
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tableR<-filter(table, `ID tumor` == side) %>% filter(!is.na(Volume)) |
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endtime<-dcast(tableR %>% filter(Volume < input$cutoff), Cage+`ID animal`+`ID tumor`+Group~., value.var = "Timepoint", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") |
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endtime["Dead"]<-dcast(tableR, Cage+`ID animal`+`ID tumor`+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > input$cutoff |
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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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table_tumor<<-endtime |
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g[side]<-ggsurvplot(survfit(Surv(table_tumor$end, table_tumor$Dead) ~ table_tumor$Group, data=table_tumor), |
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@ -524,9 +524,9 @@ server <- function(input, output) { |
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}else{ |
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tableR<-table %>% filter(!is.na(Volume)) |
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endtime<-dcast(if(length(unique(tableR$Timepoint)) > 1){tableR %>% filter(Volume < input$cutoff)}else{tableR}, `ID animal`+`ID tumor`+Group~., |
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value.var = "Timepoint", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") |
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endtime["Dead"]<-dcast(tableR, `ID animal`+`ID tumor`+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") >= input$cutoff |
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endtime<-dcast(if(length(unique(tableR$DayPostInoc)) > 1){tableR %>% filter(Volume < input$cutoff)}else{tableR}, Animal+Side+Group~., |
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value.var = "DayPostInoc", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".") |
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endtime["Dead"]<-dcast(tableR, Animal+Side+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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@ -543,19 +543,19 @@ server <- function(input, output) { |
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output$stats<-renderPrint({ |
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stattest<-"dunn" |
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oneside<-"" |
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if (!is.null(input$file_analy) & !is.null(analysis$taula_def)){ |
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observeEvent(analysis$taula_def, {}) |
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table<-analysis$taula_def |
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if (!is.null(input$file_analy) & !is.null(analysis$taula)){ |
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observeEvent(analysis$taula, {}) |
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table<-analysis$taula |
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if (input$vacc == "No"){ |
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table<-filter(table, !is.na(Volume)) |
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summary(aov(Volume~Group+Timepoint+Error(`ID animal`+`ID tumor`), data=table)) |
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summary(aov(Volume~Group+DayPostInoc+Error(Animal+Side), data=table)) |
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}else{ |
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for (side in c("L","R")){ |
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tableR<-filter(table, `ID tumor` == side) %>% filter(!is.na(Volume)) |
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if (length(unique(tableR$Volume)) > 1 & length(unique(tableR$Timepoint)) > 1){ |
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tableR<-filter(table, Side == side) %>% filter(!is.na(Volume)) |
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if (length(unique(tableR$Volume)) > 1 & length(unique(tableR$DayPostInoc)) > 1){ |
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print(paste0("Side: ",side)) |
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# print(summary(aov(Volume~Group+Timepoint+Error(paste0(ID animal,Cage)), data=tableR))) |
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print(summary(aov(Volume~Group+Timepoint+Error(`ID animal`), data=tableR))) |
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# print(summary(aov(Volume~Group+DayPostInoc+Error(paste0(Animal,Cage)), data=tableR))) |
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print(summary(aov(Volume~Group+DayPostInoc+Error(Animal), data=tableR))) |
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} |
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} |
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} |
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