I am trying to make an RShiny app that you can pick a gene from a list, and it will display different graphs using that gene's transcripts. However, each gene has a different number of transcripts, so a different number of graphs must be displayed every time a different gene is chosen. How I have it set right now is that when a person chooses a gene, a new table is created with the transcript numbers (data to be plotted) along with a new list of all the transcript names (length of this list is the amount of plots that I need). These are reactive values.
Below, in the server, I made a function that creates the graph that I want, and then I iterate through the creation of the function by indexing into the reactive list of names, so it creates a graph for each name (as each name is a different transcript). Right now, the code iterates through all the names correctly but only displays the last plot. Is there a way to have every plot displayed? I have tried a lot of different things, from renderUI to using local calls, but cannot figure it out.
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
selectInput("var", label = "Choose a gene to display", names),
mainPanel(
plotOutput("tdot"))
))
server <- function(input, output) {
genename <- reactive({
input$var
})
transTable2 <- reactive ({
cbind(biofluids, select(transTable, starts_with(input$var)))
})
names <- reactive ({
tableBF <- cbind(biofluids, select(transTable, starts_with(input$var)))
n <- colnames(tableBF)
final <- n[-1]
})
createUI <- function(name, table) {
ggplot(table, aes_string(x = "biofluids", y = name))+geom_boxplot(aes(color = biofluids))+
geom_boxplot(aes(fill = biofluids)) + scale_y_log10()+ylab( 'log10 normalized counts')+
ggtitle(name)}
output$tdot <- renderPlot({
lapply(1:length(names()), function(i)
createUI(names()[i], transTable2()))
})
}
# Run the application
shinyApp(ui = ui, server = server)