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2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| bdbd8edf9d | |||
| dde77d987c |
+15
-1
@@ -347,7 +347,8 @@ server <- function(input, output) {
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analysis$taula_vol<-NULL
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observe({
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if (!is.null(input$file_analy)){
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table<-read.xlsx(input$file_analy$datapath, sheet = 1, check.names = F, sep.names = " ")
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table<-read.xlsx(input$file_analy$datapath, sheet = 1, check.names = F, sep.names = " ", detectDates = T)
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table$Date<-format(table$Date, format="%d/%m/%Y")
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if ("sex" %in% colnames(table)){table<-select(table, -sex)}
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table$Long<-gsub(",",".", table$Long)
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table$Wide<-gsub(",",".", table$Wide)
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@@ -356,6 +357,19 @@ server <- function(input, output) {
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wide<-as.numeric(strsplit(table[i,"Wide"],"+", fixed = T)[[1]])
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table[i,"Volume"]<-sum(sapply(1:length(long), function(x) (long[x]*wide[x]*wide[x])*(pi/6)))
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}
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## Autocompletado de grupo
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table_group<-merge(
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table %>% select(Animal, Group) %>% unique() %>% group_by(Animal) %>% count(),
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table %>% select(Animal, Group) %>% unique()
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) %>% filter(n > 1 & (!is.na(Group) | Group != "")) %>% select(-n)
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table<-merge(
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table %>% select(-Group),
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table_group
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) %>% relocate(Group, .after = DayPostInoc) %>% arrange(DayPostInoc, Animal, Side)
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analysis$taula<-table
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}
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})
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