how to update a dataset in R shiny - r

Question

Can I get help on how to get the below code to work? I am looking to update the numbers in
dataExample <- getDataset(n1 = c(20),n2 = c(20), means1 = c(18), means2 = c(9),stds1 = c(14), stds2 = c(14))
based on input values and then generate the plot whenever I apply changes but not sure how to do it. I read it somewhere it says need to use reactive or observe but I am not sure how to modify the code?
library(shiny)
library(plyr)
library(rmarkdown)
library(rpact)
design <- getDesignGroupSequential(kMax = 2, alpha = 0.05, informationRates = c(0.5, 1), typeOfDesign = "WT", deltaWT = 0.5)
ui <- fluidPage(
titlePanel("Efficacy Monitoring Using Conditional Power"),
sidebarLayout(
sidebarPanel(
numericInput('nn1', 'Number of Subjects at Current stage (Active)', 20, min = 1, max = 100),
numericInput('nn2', 'Number of Subjects at Current stage (Control)', 20, min = 1, max = 100),
textInput('Mean1', 'Mean1',"18"),
textInput('Mean2', 'Mean2',"9"),
textInput('SD1', 'SD1',"14"),
textInput('SD2', 'SD2',"14"),
textInput('nPlanned', 'Additional Numbers Planned',"40"),
submitButton(text = 'Apply Changes')
),
# Main panel for displaying outputs ----
mainPanel(plotOutput("plot2")
)
)
)
server <- function(input,output){
dataExample <- getDataset(
n1 = c(20),
n2 = c(20),
means1 = c(18),
means2 = c(9),
stds1 = c(14),
stds2 = c(14)
)
stageResults <- getStageResults(design, dataExample,thetaH0 = 0)
output$plot2<-renderPlot(
plot(stageResults, nPlanned = c(as.numeric(input$nPlanned)), thetaRange = c(0, 20))
)
}
# Run the app ----
shinyApp(ui, server)

Answer 1

Use a reactive function and put the input values
library(shiny)
library(plyr)
library(rmarkdown)
library(rpact)
design <- getDesignGroupSequential(kMax = 2, alpha = 0.05, informationRates = c(0.5, 1), typeOfDesign = "WT", deltaWT = 0.5)
ui <- fluidPage(
titlePanel("Efficacy Monitoring Using Conditional Power"),
sidebarLayout(
sidebarPanel(
numericInput('nn1', 'Number of Subjects at Current stage (Active)', 20, min = 1, max = 100),
numericInput('nn2', 'Number of Subjects at Current stage (Control)', 20, min = 1, max = 100),
# WHY THE CHOICE OF textInput instead of numericInput ?
textInput('Mean1', 'Mean1',"18"),
textInput('Mean2', 'Mean2',"9"),
textInput('SD1', 'SD1',"14"),
textInput('SD2', 'SD2',"14"),
textInput('nPlanned', 'Additional Numbers Planned',"40"),
submitButton(text = 'Apply Changes')
),
# Main panel for displaying outputs ----
mainPanel(plotOutput("plot2")
)
)
)
server <- function(input,output){
# Use the input values in a reactive function
dataExample <- reactive({
getDataset(
n1 = input$nn1,
n2 = input$nn2,
means1 = as.numeric(input$Mean1),
means2 = as.numeric(input$Mean2),
stds1 = as.numeric(input$SD1),
stds2 = as.numeric(input$SD2)
)
})
output$plot2<-renderPlot({
stageResults <- getStageResults(design, dataExample(), thetaH0 = 0)
plot(stageResults, nPlanned = c(as.numeric(input$nPlanned)), thetaRange = c(0, 20))
})
}
# Run the app ----
shinyApp(ui, server)