r语言 - 基于数字输入创建表并选择输入

Question

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计算药物费率，然后技术人员可以打印出护理表的结果表。我已经看到 selectInput 可用于加载数据集并将其显示为表格的地方，但我需要根据动物的质量和药物浓度在表格中创建速率。例如，一种药物的剂量可能为 1,2,3,4 或 5 mcg/kg/hr，希望可以根据通过 selectInput 选择的药物加载，但我需要通过公式计算速率(在这种情况下(质量 * 剂量(/浓度(。由于每种药物具有不同的剂量，因此还需要根据选择输入进行反应，因此这变得更加复杂。

到目前为止，我所拥有的如下，但我无法生成任何响应来自闪亮应用程序的数据的表格。

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)

我想让"剂量"选项卡生成剂量和速率表。很确定我可以为其他选项卡做类似的事情。有人可以指出我正确的方向吗？

Answer 1

考虑到对我之前回答的评论，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。

所以现在，当选择药物时，计算对该药物的所有预定义剂量进行，在下面的这个块中

output$dose <- renderTable({
dose = dosage_table[, input$drug]
rate = dose *  as.numeric(input$mass) / as.numeric(input$concentration)
data.frame(Dose = dose, Rate = rate)

})

最终代码

用户界面

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")
)
)
)
)

服务器

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)