Took very basic shiny scripts and were able to play around the generic data sets. When I tried to put in my own and run ggplot, I've come across several errors. Most recent is what appears in my main panel of shiny app and console in Rstudio ... "ggplot2 doesn't know how to deal with data of class reactive" ... In general, I stripped down my ggplot to the most basic elements and still not sure from where ggplot is calling data while in shiny. I am guessing the reactive function, but honestly, I am lost.
Below are scripts
_____ui.R________
shinyUI(pageWithSidebar(
headerPanel('Mock Risk Scorecard'),
sidebarPanel(
selectInput('xcol', 'X Axis', names(RandomRiskCard)),
selectInput('ycol', 'Y Axis', names(RandomRiskCard),
selected=names(RandomRiskCard)[[2]]),
min = 1, max = 9),
mainPanel(
plotOutput('plot1')
)
)
)
_____server.R____
palette(c("#E41A1C", "#377EB8"))
shinyServer(function(input, output, session) {
# Combine the selected variables into a new data frame
selectedData <- reactive({
RandomRiskCard[, c(RandomRiskCard$xcol, RandomRiskCard$ycol)]
})
output$plot1 <- renderPlot({
p <- ggplot(selectedData, aes(x = RandomRiskCard$xcol, y = RandomRiskCard$ycol))
p <- p + geom_point()
})
})
I also loaded up my data and Run Shiny in different script windows as follow
install.packages("shiny")
library(shiny)
library(ggplot2)
runApp("U:/App-1")
as well as
RandomRiskCard = read.csv("U:/App-1/RandomRiskCard.csv")
I am eventually hoping to incorporate factor function and annotate with colors like I had done with my original ggplot. If it wasn't already obvious I am a newbie at this, but shiny has me completely twisted.