我正在尝试创建一个闪亮的应用程序，该应用程序可以根据兽医诊所的剂量和质量来计算药物使用率，然后技术人员可以将结果表打印为护理单。我已经看到了selectInput可用于加载数据集并将其显示为表格的地方，但是我需要根据动物的质量和药物浓度在表格中创建费率。例如，一种药物的剂量可以是1,2,3,4或5 mcg / kg / hr，希望可以根据通过selectInput选择的药物进行加载，但是我需要通过公式来计算速率（在这种情况下（质量*剂量）/浓度）。由于每种药物的剂量不同，这使情况更加复杂，因此还需要基于selectInput具有反应性。
到目前为止，我的工作在下面，但是我无法生成任何表来响应闪亮应用程序中的数据。
library(shiny)
drug.selections <- c("Fentanyl", "Ketamine", "Lidocaine", "Midazolam", "Metoclopramide", "Norepinephrine", "Dobutamine",
"Dopamine", "Epinephrine", "Phenylephrine", "Propofol", "Dexmedetomidine 0.1 mg/dl", "Dexmedetomidine 0.5 mg/dl", "Diltiazem", "Furosemide", "Butorphanol",
"Hydromorphine", "Morphine", "Methadone", "ACA", "Magnesium", "Alfaxalone")
drug.selections <- sort(drug.selections)
ui <- fluidPage(
headerPanel("Continuous Rate Infusion"
),
sidebarLayout(
sidebarPanel(
textInput("name", "Pet Name"),
numericInput("mass", "Pet Weight (kg)", value = 0, min =0, max = 200),
selectInput("drug", "Drug", drug.selections),
numericInput("concentration", "Concentration", value = 0, min = 0, max = 500),
numericInput("time", "How many hours needed", value = 0, min = 0, max = 40),
checkboxInput("dilute", "Dilute?", value = FALSE)
),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Dose", tableOutput("dose")),
tabPanel("Diluted Dose", tableOutput("ddose")),
tabPanel("Dilution Recipe", tableOutput("recipe")),
tabPanel("Summary", textOutput("summary")),
textOutput("name"),
textOutput("mass"),
textOutput("drug")
)
)
)
)
server <- function(input, output, session) {
mass <- reactive({
get(input$mass, inherits = FALSE)
})
output$summary <- renderText({
paste (input$name, "weighs", input$mass, "kg and is on", input$concentration, "of", input$drug)
})
output$dose <- renderTable({
dose
})
output$ddose <- renderTable({
ddose
})
output$recipe <- renderTable({
recipe
})
}
shinyApp(ui, server)
我想获得“剂量”标签，以生成剂量和剂量表。可以肯定的是，我可以对其他选项卡执行类似的操作。有人可以指出我正确的方向吗？
答案 0 :(得分：1)
考虑到我先前回答的评论，我添加了每种药物的一些数据，这些数据可能代表每种药物的不同剂量。
因此，现在，选择药物后，将在下面的此方框中对该药物的所有预定义剂量进行计算
output$dose <- renderTable({
dose = dosage_table[, input$drug]
rate = dose * as.numeric(input$mass) / as.numeric(input$concentration)
data.frame(Dose = dose, Rate = rate)
})
ui <- fluidPage(
headerPanel("Continuous Rate Infusion"
),
sidebarLayout(
sidebarPanel(
# add dosage
textInput("name", "Pet Name"),
numericInput("mass", "Pet Weight (kg)", value = 0, min =0, max = 200),
selectInput("drug", "Drug", drug.selections),
numericInput("concentration", "Concentration", value = 0, min = 0, max = 500),
numericInput("time", "How many hours needed", value = 0, min = 0, max = 40),
checkboxInput("dilute", "Dilute?", value = FALSE)
),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Dose", tableOutput("dose")),
tabPanel("Diluted Dose", tableOutput("ddose")),
tabPanel("Dilution Recipe", tableOutput("recipe")),
tabPanel("Summary", textOutput("summary")),
textOutput("name"),
textOutput("mass"),
textOutput("drug")
)
)
)
)
server <- function(input, output, session) {
dosage_table <- data.frame('Fentanyl' = c(1,2,3,4,5,6,7,8,9,10),
'Ketamine' = c(0.1,0.2,0.3,0.4,0.5),
"Lidocaine" = c(0.1,0.2,0.3,0.4,0.5),
"Midazolam" = c(0.1,0.2,0.3,0.4,0.5),
"Metoclopramide" = c(0.1,0.2,0.3,0.4,0.5),
"Norepinephrine" = c(0.1,0.2,0.3,0.4,0.5),
"Dobutamine" = c(0.1,0.2,0.3,0.4,0.5),
"Dopamine" = c(0.1,0.2,0.3,0.4,0.5),
"Epinephrine" = c(0.1,0.2,0.3,0.4,0.5),
"Phenylephrine" = c(0.1,0.2,0.3,0.4,0.5),
"Propofol" = c(0.1,0.2,0.3,0.4,0.5),
"Dexmedetomidine 0.1 mg/dl" = c(0.1,0.2,0.3,0.4,0.5),
"Dexmedetomidine 0.5 mg/dl" = c(0.1,0.2,0.3,0.4,0.5),
"Diltiazem" = c(0.1,0.2,0.3,0.4,0.5),
"Furosemide" = c(0.1,0.2,0.3,0.4,0.5),
"Butorphanol" = c(0.1,0.2,0.3,0.4,0.5),
"Hydromorphine" = c(0.1,0.2,0.3,0.4,0.5),
"Morphine" = c(0.1,0.2,0.3,0.4,0.5),
"Methadone" = c(0.1,0.2,0.3,0.4,0.5),
"ACA" = c(0.1,0.2,0.3,0.4,0.5),
"Magnesium" = c(0.1,0.2,0.3,0.4,0.5),
"Alfaxalone" = c(0.1,0.2,0.3,0.4,0.5))
mass <- reactive({
get(input$mass, inherits = FALSE)
})
output$summary <- renderText({
paste (input$name, "weighs", input$mass, "kg and is on", input$concentration, "of", input$drug)
})
output$dose <- renderTable({
dose = dosage_table[, input$drug]
rate = dose * as.numeric(input$mass) / as.numeric(input$concentration)
data.frame(Dose = dose, Rate = rate)
})
output$ddose <- renderTable({
ddose
})
output$recipe <- renderTable({
recipe
})
}
# App
shinyApp(ui, server)