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@ -411,7 +411,21 @@ server <- function(input, output) { |
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table$Group<-factor(table$Group, levels=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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table<-filter(table, !is.na(Group)) |
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}else(table$Group<-factor(table$Group)) |
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}else(table$Group<-factor(table$Group)) |
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print(str(table)) |
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if (input$increase_volume){ |
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cols<-colnames(table) |
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timepoints<-unique(table$DayPostInoc) |
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table_old<-select(table, -Volume) |
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table_vols<-table %>% |
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select(-Weight, -Date, -Long, -Wide,-Observations) %>% |
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spread(DayPostInoc, Volume) %>% |
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mutate(across(all_of(as.character(timepoints)), function(x){(x*100/`0`)-100})) %>% |
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gather(DayPostInoc, Volume, all_of(as.character(timepoints))) %>% |
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mutate(Volume=case_when(Volume < 0 ~ 0, T~Volume)) |
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table<-merge(table_old, table_vols)[,cols] |
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} |
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analysis$taula<-table |
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analysis$taula<-table |
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} |
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} |
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}) |
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}) |
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@ -431,14 +445,6 @@ server <- function(input, output) { |
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table<-analysis$taula |
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table<-analysis$taula |
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table<-table %>% filter(!is.na(Group)) |
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table<-table %>% filter(!is.na(Group)) |
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if (input$increase_volume){ |
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timepoints<-unique(table$Timepoint) |
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table<-table %>% select(-Major, -Minor) %>% |
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spread(Timepoint, Volume) %>% |
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mutate(across(all_of(timepoints), function(x){(x*100/`0`)-100})) %>% |
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gather(Timepoint, Volume, -`ID animal`, -`ID tumor`, -Group) %>% |
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mutate(Volume=case_when(Volume < 0 ~ 0, T~Volume)) |
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} |
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table %>% group_by(Group, DayPostInoc, Side) %>% count() %>% spread(DayPostInoc, n) |
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table %>% group_by(Group, DayPostInoc, Side) %>% count() %>% spread(DayPostInoc, n) |
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} |
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} |
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}) |
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}) |
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