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@ -148,19 +148,19 @@ server <- function(input, output) { |
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df<-df[!is.na(df$Volume),] |
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up_cuttof<-input$upcut |
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low_cuttof<-input$lowcut |
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print(up_cuttof) |
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# print(up_cuttof) |
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df<-df[df$Volume < up_cuttof & df$Volume >= low_cuttof,] |
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df<-merge(df, dades$sex) |
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# df["Mouse"]<-gsub("[a-zA-Z]", "", df$MouseID) |
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print(df$Volume) |
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# print(df$Volume) |
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s<-shapiro.test(df$Volume)[[2]] |
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ngroup<-length(dades$groups) |
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df_def<-list() |
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print(head(df)) |
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# print(head(df)) |
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for (sex.var in c("male","female")){ |
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print(sex.var) |
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# print(sex.var) |
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df_sex<-df %>% filter(`sex` == sex.var) |
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ind.list<-list() |
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pval.list<-list() |
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@ -191,7 +191,7 @@ server <- function(input, output) { |
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} |
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} |
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index<-which(unlist(lvn.list) == min(unlist(lvn.list)[which(unlist(pval.list) %in% sort(unlist(pval.list), decreasing = T)[1:20])])) |
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print(df_sex) |
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# print(df_sex) |
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df_def[[sex.var]]<-merge(df_sex %>% select(-group), ind.list[[index]]) |
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} |
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# df_def<-do.call(rbind, c(df_def, make.row.names=F)) |
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@ -347,7 +347,7 @@ server <- function(input, output) { |
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} |
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table<-melt(table, id=colnames(table)[colnames(table) %in% col_nodays], variable.name = "Timepoint") |
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table$Timepoint<-gsub("[A-Za-z ]","",table$Timepoint) |
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print(table) |
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# print(table) |
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if ("DPV" %in% colnames(table)){ |
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table<-dcast(table, Cage+`ID animal`+`ID tumor`+Group+Timepoint~DPV, value.var = "value") |
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table$Major<-table$Major |
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@ -398,7 +398,7 @@ server <- function(input, output) { |
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if (!is.null(input$file_analy) & !is.null(analysis$taula_def)){ |
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observeEvent(analysis$taula_def, {}) |
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table<-analysis$taula_def |
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print(table , ) |
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print(table) |
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if (input$vacc == "Sí"){ |
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ggplot(table, aes(as.numeric(as.character(Timepoint)), Volume, color=Group, group=`ID animal`))+ |
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# geom_errorbar(stat="summary", width=0.05)+ |
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