Reputation: 45
I'm trying to have thousand separator in my shiny table output. The following are my code:
UI <- dashboardPage(
dashboardBody(
fluidPage(
selectInput(inputId = "TableName",
label = "Select Data of Interest",
choices = list.files(path = "CSVData", pattern = "AMD_")),
uiOutput("Channel"),
formattableOutput("ResultTable")
)
)
)
Server <- function(input, output){
output$Channel <- renderUI({
df <- read.csv(paste("Pathname/",input$TableName, sep = ""))
selectInput(inputId = "ChannelSelect",
label = "Select Channel:",
choices = unique(df) %>% select(Channel))),
selected = NULL, multiple = FALSE)
})
output$ResultTable <- renderFormattable({
df <- read.csv(paste("CSVData/",input$TableName, sep = ""))
ChanSelect <- input$ChannelSelect
A1 <- df %>% filter(if(ChanSelect != "All") (Channel == ChanSelect) else TRUE) %>%
select(Channel, Amount)
formattable(A1, list(
`Amount` = comma(`Amount`, digits = 0, format = "f", big.mark = ","
))
})
}
My df's are varied but all of them are in the format:
data.frame("Channel" = c("A", "B", "C", "D"),
"Amount" = c(1000000, 2000000, 3000000, 4000000 ))
The problem is with the formattable part that it didn't work. I don't know how to input the function comma()
properly with formattable
.
Upvotes: 1
Views: 1828
Reputation: 1518
There are two ways to do this:
1. Create a Custom Function
mycomma <- function(digits = 0) {
formatter("span", x ~ comma(x, digits = digits)
)
}
Use for a single named column:
formattable(df, list(`Account` = mycomma(digits=0))
)
Use for several columns:
formattable(df,
list(area(col = c(3:6)) ~ mycomma(digits=0))
)
2. pass the formattable function each time
formattable(df, list(`Account` = formatter("span", x ~ comma(x, digits = 0))
)
NOTE: You could just as easily create a custom function that could be passed a different function, like percent or accounting. YMMV
mysimpleformat <- function(fun = "comma", digits = 0) {
fun <- match.fun(fun)
formatter("span", x ~ fun(x, digits = digits)
)
}
Upvotes: 2
Reputation: 1253
If you're just trying to add the thousand markers to your Amount
column, you can do it as follows:
df <- data.frame("Channel" = c("A", "B", "C", "D"),
"Amount" = c(1000000, 2000000, 3000000, 4000000 ))
df$Amount <- format(as.integer(df$Amount), big.mark=",")
Upvotes: 1