Two Reactives R Shiny - r

Question

I need to render a table based on user input which will be one of two possible tables. I have defined the first table filedata by the user selecting a .csv file to upload. The second table, data_ranked_words, has the same dimensions.
What I want is for the output to switch between the two tables. I defined each table in a reactive(). However, I know that the data_ranked_words reactive is never being triggered. How do I trigger both of these reactives when the user uploads a file? In my code the issue is with the two reactive() statements at the beginning of server.R.
library(shiny)
library(markdown)
library(DT)
library(D3TableFilter)
options(shiny.maxRequestSize=50*1024^2)
setwd('~/Desktop/DSI/Topic Model App Interface')
# ui.R
#-------------------------------------------------------------------------------------
ui <- shinyUI(
navbarPage("Start",
tabPanel("From Data",
sidebarLayout(
sidebarPanel(
radioButtons("plotType", "Plot type",
c("Scatter"="p", "Line"="l")
)
),
mainPanel(
plotOutput("plot")
)
)
),
tabPanel("From CSV",
sidebarLayout(
sidebarPanel(
# Define what's in the sidebar
fileInput("file",
"Choose CSV files from directory",
multiple = TRUE,
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
h5(div(HTML('Use the radio butons to toggle between the <em>Word View</em> and
<em>Probability View</em>.'))),
radioButtons('toggle', 'Choose one:', list('Word View', 'Probability View')),
p(div(HTML('<strong>Note:</strong> The <em>Probability View</em> will
<u>not</u> yield the top X number of words. It will instead
return the first X columns. You can then sort each column in
ascending or descending order. Keep in mind that it will only
sort from the rows that are displayed, <u>not</u> all rows.'))),
br(),
sliderInput('slider', div(HTML('How many rows to display?')), 1, 100, 20),
br(),
h5('Use the buttons below to quickly show large numbers of rows.'),
radioButtons('rowIdentifier', 'Show more rows:',
list('[ Clear ]', '200', '500', '1000', '5000', '10000', 'All Rows')),
p(div(HTML('<strong>Warning:</strong> Printing all rows to the screen may
take a while.'))),
h3('Tips:'),
p("You can copy and paste the table into Excel. If you only want to
copy one column, use the 'Show/Hide' function at the top-right of the table
to hide all the undesired columns."),
p(div(HTML('Sorting by column is available in <em>Probability View</em> but
not <em>Word View</em>.')))
),
# Define what's in the main panel
mainPanel(
title = 'Topic Model Viewer',
# How wide the main table will be
fluidRow(
column(width = 12, d3tfOutput('data'))
)
)
)
),
navbarMenu("More",
tabPanel("temp"
),
tabPanel("About",
fluidRow(
column(6
),
column(3
)
)
)
)
)
)
# server.R
#-------------------------------------------------------------------------------------
server <- shinyServer(function(input, output, session) {
# Set up the dataframe for display in the table
# Define 'filedata' as the .csv file that is uploaded
filedata <- reactive({
infile <- input$file
if (is.null(infile)) {
# User has not uploaded a file yet
return(NULL)
}
temp = read.csv(infile$datapath)
# Save data as RDS file, which is much faster than csv
saveRDS(temp, file = 'data.rds')
# Read in data file
data = readRDS('data.rds')
# Transpose data for more intuitive viewing. Words as rows, topics as cols
data = t(data)
# Convert to data frame
data = as.data.frame(data)
# Return this
data
})
# The ranked and ordered csv file
data_ranked_words <- reactive({
data = filedata()
# Sort each column by probability, and substitute the correct word into that column
# This will essentially rank each word for each topic
# This is done by indexing the row names by the order of each column
temp = matrix(row.names(data)[apply(-data, 2, order)], nrow(data))
temp = as.data.frame(temp)
# Define column names (same as before) for the new data frame
colnames(temp) = paste0(rep('topic', ncol(data)), 1:ncol(data))
# Return this
temp
print('Success')
})
output$data <- renderD3tf({
# Define table properties. See http://tablefilter.free.fr/doc.php
# for a complete reference
tableProps <- list(
rows_counter = TRUE,
rows_counter_text = "Rows: ",
alternate_rows = TRUE
);
# Radio buttons
# The reason why the extensions are in this if() is so that sorting can be
# activated on Probability View, but not Word View
if(input$toggle=='Word View'){
df = data_ranked_words
extensions <- list(
list( name = "colsVisibility",
text = 'Hide columns: ',
enable_tick_all = TRUE
),
list( name = "filtersVisibility",
visible_at_start = FALSE)
)
} else if(input$toggle=='Probability View'){
df = filedata()
extensions <- list(
list(name = "sort"), #this enables/disables sorting
list( name = "colsVisibility",
text = 'Hide columns: ',
enable_tick_all = TRUE
),
list( name = "filtersVisibility",
visible_at_start = FALSE)
)
}
# Radio button options for more row viewing options
if(input$rowIdentifier=='Clear'){
num_rows = input$slider
} else if(input$rowIdentifier==200){
num_rows = 200
} else if(input$rowIdentifier==500){
num_rows = 500
} else if(input$rowIdentifier==1000){
num_rows = 1000
} else if(input$rowIdentifier==5000){
num_rows = 5000
} else if(input$rowIdentifier==10000){
num_rows = 10000
} else if(input$rowIdentifier=='All Rows'){
num_rows = nrow(df)
} else{
num_rows = input$slider
}
# Create table
if(is.null(filedata())){
} else{
d3tf(df,
tableProps = tableProps,
extensions = extensions,
showRowNames = TRUE,
tableStyle = "table table-bordered")
}
})
# This line will end the R session when the Shiny app is closed
session$onSessionEnded(stopApp)
})
# Run app in browser
runApp(list(ui=ui,server=server), launch.browser = TRUE)