I'm building a shinyapp where I am passing variable names as arguments to the server with the selectInput() widget. The following static example illustrates the plot that I want displayed:
g <- ggplot(d, aes(y, fill = var1, colour = var1)) +
geom_density(alpha=.2)
Just to be clear, here is an image of the above plot
What I want to do in my shinyapp is to separate the plotted distributions by different variables that the user can choose via selectInput(). But when I substitute var1 in the above with a generic argument, this is not what I get. Please see the example:
library(ggplot2)
library(shiny)
d <- data.frame(var1=as.factor(sample(x = 1:4, size = 250, replace = TRUE)),
var2=as.factor(sample(x = 1:4, size = 250, replace = TRUE)),
y=rnorm(250, mean = 0, sd = 1))
nms <- names(d)
ui <- fluidPage(selectInput(inputId ="var", "Variable:",
choices = nms, selected = "var1"),
plotOutput(outputId = "plot")
)
server <- function(input, output) {
g <- ggplot(d, aes(y, fill = input$var, colour = input$var)) +
geom_density(alpha=.2)
output$plot <- renderPlot(g)
}
shinyApp(ui,server)
The actual output I get is different from the static example I started with (click through for image).
Can someone please point out my error? Thankful for help.