Problem with survival function in Shiny App - r

Question

Recently I'm using the survival package in R, in order to be able to better measure the waiting time of patients in the Emergency Department of my Hospital, what I have achieved. However, it's complex to show the results and that can be understood by third parties from RStudio, so I'm developing a Shiny App to show the results without having to show the code and be able to modify certain elements quickly
When I create the app, I have the problem that when I request that you build a dataframe with the quantiles, I get the error: "Error in rep: invalid 'times' argument" in R#200. I have reviewed the code on multiple occasions, but I still can't find a solution. I enclose the complete code
Thank you
ui <- fluidPage(
titlePanel("Prototipo Tiempos de Urgencia"),
sidebarLayout(
sidebarPanel(
selectInput(inputId = "triage",
label = "Triage",
choices =c("Todos",listadotriage),
selectize = FALSE,
selected = "Todos"),
selectInput(inputId = "tiempo",
label = "Tiempo a analizar",
choices = c("Diferencia entre Hora de atención y hora de triage" = "60",
"Diferencia ente hora de atencón y hora de admisión" = "61",
"Diferencia ente hora de atencón y hora de alta" = "62",
"Diferencia ente hora de admision y hora de alta" = "63",
"Diferencia ente hora de admision y hora de triage" = "64"),
selectize = FALSE,
selected = "Diferencia entre Hora de atención y hora de triage"),
selectInput(inputId = "atencion",
label = "Área Atención",
choices = c("Todos",listadoatencion),
selectize = FALSE,
selected = "Todos"),
selectInput(inputId = "alta",
label = "Tipo de Alta",
choices = c("General" = "74",
"Hospitalizado" = "72",
"Altas" = "73"),
multiple = FALSE,
selected = "General"),
dateRangeInput(inputId = "fecha",
label = "Intervalo de fechas",
format = "dd-mm-yyyy",
start = "2019-11-01",
end = "2019-11-30",
weekstart = 1,
language= "es",
separator = "a")
),
mainPanel = dataTableOutput(outputId = "tabla1")
))
server <- function(input, output) {
output$tabla1 <- renderDataTable({
if (input$triage=="Todos") {
dat1<-subset(dat1,ifelse(input$atencion!="Todos",dat1$AREA_ATENCION==input$atencion & dat1$fechanormal>=input$fecha[1] & dat1$fechanormal<=input$fecha[2],
dat1$fechanormal>=input$fecha[1] & dat1$fechanormal<=input$fecha[2]))
timesevent<-as.integer(input$tiempo)
event<-as.integer(input$alta)
dat3<-dat1[,c(30,timesevent,event)]
gral<-Surv(dat3[[2]] ,event= as.numeric(dat3[[3]]))
fit1a<-survfit(gral ~ Medico, data = dat3)
d1<-as.data.frame(quantile(fit1a,c(0.25,0.5,0.75,0.9,1),conf.int = FALSE)) # estadísticas sobre tiempo de demora según modelo
data1<-as.data.frame(fit1a$strata)
setDT(data1,keep.rownames = TRUE)
data1$rn<-gsub("Medico=","",data1$rn)
colnames(data1)<-c("Médico","Consultas")
setDT(d1,keep.rownames = TRUE)[]
d1$rn<-gsub("Medico=","",d1$rn)
colnames(d1)<-c("Médico","P.25","P.50","P.75","P.90","P.100")
datatotal1<-merge(data1,d1,by="Médico")
datatable(data=datatota1l,caption =paste("Tiempos de atención en Servicio de Urgencia por Médico, por Atención en Servicio",input$atencion,"durante","el período",format(input$fecha[1], format= "%d-%m-%Y"),"a",format(input$fecha[2], format= "%d-%m-%Y"), sep=" "),
rownames = FALSE,extensions= "Buttons",options=list(pageLength=40,dom="Bfrtip", buttons = c("print")) )
} else {
dat1<-subset(dat1,dat1$Triage==input$triage)
dat1<-subset(dat1,ifelse(input$atencion!="Todos",dat1$AREA_ATENCION==input$atencion & dat1$fechanormal>=input$fecha[1] & dat1$fechanormal<=input$fecha[2],
dat1$fechanormal>=input$fecha[1] & dat1$fechanormal<=input$fecha[2]))
timesevent<-as.integer(input$tiempo)
event<-as.integer(input$alta)
dat3<-dat1[,c(30,timesevent,event)]
gral<-Surv(dat3[[2]] ,event= as.numeric(dat3[[3]])) ~ Medico
fit1b<-survfit(gral ~ Medico, data = dat3)
d2<-as.data.frame(quantile(fit1b,c(0.25,0.5,0.75,0.9,1),conf.int = FALSE)) # estadísticas sobre tiempo de demora según modelo
data2<-as.data.frame(fit1b$strata)
setDT(data2,keep.rownames = TRUE)
data2$rn<-gsub("Medico=","",data2$rn)
colnames(data2)<-c("Médico","Consultas")
setDT(d2,keep.rownames = TRUE)[]
d2$rn<-gsub("Medico=","",d2$rn)
colnames(d2)<-c("Médico","P.25","P.50","P.75","P.90","P.100")
datatotal2<-merge(data2,d1,by="Médico")
datatable(data=datatotal2,caption =paste("Tiempos de atención en Servicio de Urgencia por Médico, por Categorización",input$triage,"por Atención en Servicio",input$atencion,"durante","el período",format(input$fecha[1], format= "%d-%m-%Y"),"a",format(input$fecha[2], format= "%d-%m-%Y"), sep=" "),
rownames = FALSE,extensions= "Buttons",options=list(pageLength=40,dom="Bfrtip", buttons = c("print")) )
}
})
}
shinyApp(ui = ui, server = server)```

Answer 1

I resolved!!!!
I changed the next lines
dat1<-subset(dat1,ifelse(input$atencion!="Todos",dat1$AREA_ATENCION==input$atencion & dat1$fechanormal>=input$fecha[1] & dat1$fechanormal<=input$fecha[2],
dat1$fechanormal>=input$fecha[1] & dat1$fechanormal<=input$fecha[2]))
```
for the next lines:
```
dat3<-subset(dat3,dat3$fechanormal>=input$fecha[1] & dat3$fechanormal<=input$fecha[2])
ifelse(input$atencion!="Todos",dat3<-subset(dat3,dat3$AREA_ATENCION==input$atencion),NA)
```
Regards!!!