Reputation: 37
Love all the help here so far, but having to teach myself R / Shiny, with no one in the office to help, I am unfortunately stuck again!!
I am trying to do checkboxgroups in Shiny. I read quite a bit, for example this, this, this, this and this already helped, but I am stuck now.
So my data set "ConversionsCompletions" looks now something like this :
date | goal1completions | goal
--------------------------------------------
01012016 | 4 | goal1
01012016 | 10 | goal2
01012016 | 8 | goal3
01012016 | 13 | goal4
02012016 | 6 | goal1
02012016 | 7 | goal2
.....
ui:
checkboxGroupInput("checkGroup", label = h3("Goal"),
choices = c("Goal 1" = "goal1",
"Goal 2" = "goal2",
"Goal 3" = "goal3",
"Goal 4" = "goal4",
"Goal 5" = "goal5",
"Goal 6" = "goal6",
"Goal 7" = "goal7"),
selected = "Goal 1")
plotlyOutput("Conversionrate1")
server:
filteredData <- reactive({
filter(ConversionsCompletions[ConversionsCompletions$goal %in% input$checkGroup,])
})
output$Conversionrate1 <- renderPlotly({
plot_ly(filteredData(), x = ConversionsCompletions$date, y = ConversionsCompletions$goal1Completions, mode = "lines + markers", hoverinfo = y)
})
There is a graph, but it doesn't change when I switch boxes, or shows more than one line at a time. I know usually you need to add the "add_trace" code for plotly charts, so I am not sure how to do it in this case when sometimes there is one line and sometimes multiple.
Any help appreciated!!
Upvotes: 2
Views: 1650
Reputation: 5471
To render a graph properly, you have to use filteredData()
and slightly change syntax.
As the first parameter data
you should use the filtered dataset and then for x
and y
variables the appropriate names with a prefix ~
.
To plot multiple lines you can use another parameter split
. I had to change hoverinfo = y
to hoverinfo = "y"
otherwise it didn't work (I have the newest version of plotly)
plot_ly(
data = filteredData(),
x = ~date,
y = ~goal1completions,
split = ~goal,
mode = "lines + markers",
hoverinfo = "y" # "y" instead of y ... at least in the newest version
)
I also used setNames
function to make the code for checkboxGroupInput
shorter.
setNames(object = paste0("goal", 1:7),
nm = paste0("Goal ", 1:7))
You don't need the dplyr
function filter
for subsetting - at least in this in this case.
EDITED:
I converted the numeric variable date
into a date
format:
ConversionsCompletions <- read.table("~/Downloads/data", header = T)
d <- as.character(ConversionsCompletions$date)
d <- paste0(substr(d, 0, 2), "-", substr(d, 3, 4), "-", substr(d, start = 4, 7))
ConversionsCompletions$date <- as.Date(d, format = "%d-%m-%Y")
Full example:
library(shiny)
library(plotly)
rm(ui) ; rm(server)
# use example data
ConversionsCompletions <- read.table("~/Downloads/data", header = T)
d <- as.character(ConversionsCompletions$date)
d <- paste0(substr(d, 0, 2), "-", substr(d, 3, 4), "-", substr(d, start = 4, 7))
ConversionsCompletions$date <- as.Date(d, format = "%d-%m-%Y")
ui <- fluidPage(
checkboxGroupInput("checkGroup", label = h3("Goal"),
setNames(object = paste0("goal", 1:7),
nm = paste0("Goal ", 1:7)),
selected = "Goal 1"),
plotlyOutput("Conversionrate1")
)
server <- function(input, output) {
filteredData <- reactive({
# no need for "filter"
ConversionsCompletions[ConversionsCompletions$goal %in% input$checkGroup, ]
})
output$Conversionrate1 <- renderPlotly({
# use filteredData() instead of the full dataset
plot_ly(
filteredData(),
x = ~date,
y = ~goal1completions,
split = ~goal,
mode = "lines + markers",
hoverinfo = "y" # "y" instead of y ... at least in the newest version
)
})
}
shinyApp(ui, server)
Upvotes: 5