I\'m experimenting with Shiny and I love it. I built a little application where students upload a csv file and then choose a dependent variables and independent variables and th
This code worked for me
ui.R
# ui.R
library(shiny)
shinyUI(fluidPage(
titlePanel("Multiple Linear Regression"),
sidebarLayout(
sidebarPanel(
fileInput('file1', 'Choose CSV File',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
tags$hr(),
uiOutput("dependent"),
uiOutput("independents"),
tags$hr(),
uiOutput('ui.action') # instead of conditionalPanel
),
mainPanel(
verbatimTextOutput('contents')
)
)
))
server.R
# server.R
library(shiny)
shinyServer(function(input, output) {
filedata <- reactive({
infile <- input$file1
if (is.null(infile)){
return(NULL)
}
read.csv(infile$datapath)
})
output$dependent <- renderUI({
df <- filedata()
if (is.null(df)) return(NULL)
items=names(df)
names(items)=items
selectInput("dependent","Select ONE variable as dependent variable from:",items)
})
output$independents <- renderUI({
df <- filedata()
if (is.null(df)) return(NULL)
items=names(df)
names(items)=items
selectInput("independents","Select ONE or MANY independent variables from:",items,multiple=TRUE)
})
output$contents <- renderPrint({
input$action
isolate({
df <- filedata()
if (is.null(df)) return(NULL)
fmla <- as.formula(paste(input$dependent," ~ ",paste(input$independents,collapse="+")))
summary(lm(fmla,data=df))
})
})
output$ui.action <- renderUI({
if (is.null(input$file1)) return()
actionButton("action", "Press after reading file and selecting variables")
})
})