Nothing
library(shiny)
library(dpcR)
shinyServer(function(input, output) {
full_model <- reactive({
adpcr1 <- sim_adpcr(m = input[["m_1"]], n = 765, times = 1000,
pos_sums = FALSE, n_panels = input[["nr_1"]])
adpcr2 <- sim_adpcr(m = input[["m_2"]], n = 765, times = 1000,
pos_sums = FALSE, n_panels = input[["nr_2"]])
adpcr2 <- rename_dpcr(adpcr2, exper = "Experiment2")
adpcr3 <- sim_adpcr(m = input[["m_3"]], n = 765, times = 1000,
pos_sums = FALSE, n_panels = input[["nr_3"]])
adpcr3 <- rename_dpcr(adpcr3, exper = "Experiment3")
dat <- bind_dpcr(adpcr1, adpcr2, adpcr3)
test_res <- test_counts(dat)
list(dat = dat, test_res = test_res)
})
output[["input_data"]] <- renderTable({
whole_data <- full_model()[["dat"]]
storage.mode(whole_data) <- "integer"
slot(whole_data, ".Data")
})
output[["input_data_summ"]] <- renderPrint({
summary(full_model()[["dat"]])
})
output[["test_plot_agg"]] <- renderPlot({
plot(full_model()[["test_res"]], aggregate = TRUE)
})
output[["test_plot"]] <- renderPlot({
other_sums <- summary(full_model()[["dat"]], print = FALSE)[["summary"]]
plot(full_model()[["test_res"]], aggregate = FALSE)
})
output[["test_summ"]] <- renderPrint({
summary(full_model()[["test_res"]])
})
output[["test"]] <- renderPrint({
summary(full_model()[["dat"]])
})
})
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