
Move your cohortBuilder workflow to Shiny.

# CRAN version
install.packages("shinyCohortBuilder")
# Latest development version
remotes::install_github("https://github.com/r-world-devs/shinyCohortBuilder")With shinyCohortBuilder you can use
cohortBuilder features within your shiny application.
Configure Source and Cohort filters with cohortBuilder
(set value/range to NA to select all the
options / the whole range, and active = FALSE to collapse
filter in GUI):
librarian_source <- set_source(as.tblist(librarian))
librarian_cohort <- cohort(
librarian_source,
filter(
"discrete", id = "author", dataset = "books",
variable = "author", value = "Dan Brown",
active = FALSE
),
filter(
"range", id = "copies", dataset = "books",
variable = "copies", range = c(5, 10),
active = FALSE
),
filter(
"date_range", id = "registered", dataset = "borrowers",
variable = "registered", range = c(as.Date("2010-01-01"), Inf),
active = FALSE
)
)And apply in your application with cb_ui and
cb_server:
library(shiny)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
cb_ui("librarian")
),
mainPanel()
)
)
server <- function(input, output, session) {
cb_server("librarian", librarian_cohort)
}
shinyApp(ui, server)You may listen to cohort data changes with
input[[<cohort-id>-data-updated]]:
library(shiny)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
cb_ui("librarian")
),
mainPanel(
verbatimTextOutput("cohort_data")
)
)
)
server <- function(input, output, session) {
cb_server("librarian", librarian_cohort)
output$cohort_data <- renderPrint({
input[["librarian-data-updated"]]
get_data(librarian_cohort)
})
}
shinyApp(ui, server)Or run filtering panel locally what just makes your work with
cohortBuilder easier:
gui(librarian_cohort)
If you’re interested in more features of
shinyCohortBuilder please visit the package website.
Special thanks to:
In a case you found any bugs, have feature request or general question please file an issue at the package Github. You may also contact the package author directly via email at krystian8207@gmail.com.