|
|
@ -355,7 +355,7 @@ server <- function(input, output) { |
|
|
|
observe({ |
|
|
|
if (!is.null(input$file_analy)){ |
|
|
|
table<-read.xlsx(input$file_analy$datapath, sheet = 1, check.names = F, sep.names = " ", detectDates = T) |
|
|
|
if("ID animal" %in% colnames(table)){ |
|
|
|
if("ID.animal" %in% colnames(table)){ |
|
|
|
table<-table %>% |
|
|
|
rename(Animal=`ID.animal`, Side=`ID.tumor`) |
|
|
|
table<-table %>% gather(DayPostInoc, Value, which(!is.na(as.numeric(colnames(table))))) %>% |
|
|
@ -365,6 +365,7 @@ server <- function(input, output) { |
|
|
|
add_column(Weight="", .after="Group") %>% |
|
|
|
add_column(Volume="",Observations="") %>% |
|
|
|
relocate(Side, .after = "Group") |
|
|
|
table$DayPostInoc<-as.numeric(table$DayPostInoc) |
|
|
|
} |
|
|
|
|
|
|
|
table$Date<-format(table$Date, format="%d/%m/%Y") |
|
|
@ -374,6 +375,7 @@ server <- function(input, output) { |
|
|
|
wide<-as.numeric(gsub(",",".",strsplit(as.character(table[i,"Wide"]),"+", fixed = T)[[1]])) |
|
|
|
table[i,"Volume"]<-sum(sapply(1:length(long), function(x) (long[x]*wide[x]*wide[x])*(pi/6))) |
|
|
|
} |
|
|
|
table$Volume<-as.numeric(table$Volume) |
|
|
|
|
|
|
|
## Autocompletado de grupo |
|
|
|
table_group<-merge( |
|
|
@ -394,7 +396,7 @@ server <- function(input, output) { |
|
|
|
table$Group<-factor(table$Group, levels=levels) |
|
|
|
table<-filter(table, !is.na(Group)) |
|
|
|
} |
|
|
|
|
|
|
|
print(str(table)) |
|
|
|
analysis$taula<-table |
|
|
|
} |
|
|
|
}) |
|
|
|