I am trying to a build a reactive shiny app where I am letting the end user upload a csv file and train my model on the uploaded file. The uploaded file could contain multiple target variables and I was hoping I could give selectinput option to the users such that the model runs for the selected target variables. So far I have been able to provide option to upload file and read the data to run the model. However I have not been able to figure how can I assign the target variable based on the user input. This is how far I am in terms of code
UI-LOGIC
sidebar <- dashboardSidebar(
sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Visit-us", icon = icon("send",lib='glyphicon'),
href = "abc.com"),
fileInput("datafile", "Choose CSV File",
accept = c(
"text/csv",
"text/comma-separated-values,text/plain",
".csv")),
tags$hr(),
checkboxInput('header', 'Header', TRUE),
radioButtons('sep', 'Separator',
c(Comma=',',
Semicolon=';',
Tab='\t'),
','),
selectInput(
"select",
label = h3("Select Channel"),
choices = c("Users", "New_Users"),
selectize = TRUE,
selected = "All")
)
)
SERVER LOGIC
server <- function(input, output, session) {
getData <- reactive({
inFile <- input$datafile
if (is.null(input$datafile))
return(NULL)
data2<-read.csv(inFile$datapath, header=input$header, sep=input$sep,
quote=input$quote)
#save(data2, file = "dataread.RData")
return(data2)
})
adstock <- function(x, rate=0){
return(as.numeric(stats::filter(x=x, filter=rate, method="recursive")))
}
model <- reactive({
raw_data <- getData()
observeEvent(input$select,{
target <- input$select
})
ts <- ts(raw_data$target, frequency = 12, start=c(2016,07))
decomposition <- decompose(ts)
mod <- nls(target~b0+b1*adstock(variable, rate),data = raw_data,
start=c(b0=1, b1=1, rate=0))
})
}
The target users in the model should come from the input in the UI.
Please help how to resolve this.
Thanks a lot in advance !!