The code below is the one I am using for plotting an LDA plot using text2vec inside topic_model function in a shiny app. input$date is a checkboxGroupInput selection, input$data works perfectly fine for a DT::renderDataTable output & topic_model runs well outside the app. Here I found how to get an LDA plot in a shiny app, but I didn't really get it so copied as it was. input$go is a simple actionButton.
raw_data <- eventReactive(input$data,{
inFile1 <- input$data
if (is.null(inFile1)) {
return(NULL)
} else {
return(read.csv(inFile1$datapath, sep = input$sep1, header = T, stringsAsFactors = F))
}
}) # eventReactive - raw_data
stopwords <- eventReactive(input$stopwords,{ #needed for topic_model
inFile2 <- input$stopwords
if (is.null(inFile2)) {
return(NULL)
} else {
return(read.csv(inFile2$datapath, sep = input$sep2, header = F, stringsAsFactors = F))
}
}) # eventReactive - stopwords
data <- eventReactive(input$date, { #raw_data turns into data
if(!exists(input$data)) return() # if no upload
switch (input$date,
"ydm" = ydm(raw_data()$File.Date),
"mdy" = mdy(raw_data()$File.Date),
"dmy" = dmy(raw_data()$File.Date),
"ydm" = ydm(raw_data()$File.Date)
)
return(raw_data())
}) # reactive - date switch
plot_data <- eventReactive(input$go, {
stopwords <- stopwords()
dats <- data()
topic_model(dats)
return(list(lda_model, dtm, doc_topic_distr,k))
}) # reactive - modeling
output$LDAplot <- renderVis({
plot_data()[[1]]$plot(out.dir = "SOME_DIR", open.browser = FALSE)
readLines("SOME_DIR/lda.json")
})
This is the Error I am getting: Listening on http://127.0.0.1:3363
Warning: Error in exists: invalid first argument
[No stack trace available]
Use: req(input$data)
instead of if(!exists(input$data)) return()
. When input$data
hasn't been filled out it == ""
. exists("")
will throw that error.
Also eventReactive
looks wrong. It's not doing anything. Did you mean:
data <- eventReactive(input$date, { #raw_data turns into data
if(!exists(input$data)) return() # if no upload
df <- raw_data()
df$File.Date <- switch (input$date,
"ydm" = ymd(raw_data()$File.Date),
"mdy" = mdy(raw_data()$File.Date),
"dmy" = dmy(raw_data()$File.Date),
"ydm" = ydm(raw_data()$File.Date)
)
return(df)
})