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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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