我正在开发一个 ShinyR 应用程序。
根据您选择的选项卡（单个或多个实验），应用程序会显示用于单个实验（三列）的选项卡或一个按钮，用于打开带有列的模式以输入三个实验的数据。
“单个实验”选项工作正常：绘制初始默认值，并且仅在单击“运行”按钮时应用更改，而不是在修改输入“参数 1”或“参数 2”时应用更改。所以我复制了“多次实验”选项的结构。但是，我面临两个问题。当我选择该选项卡并单击“运行”时，我收到以下消息（错误：参数长度为零）。
另一方面，如果我单击“输入数据”，修改表的某些值并单击“运行”，则图表将正确更新。如果我之前不进行编辑，函数“hot_to_r”似乎无法使用表数据创建数据表。还有另一个问题，当我修改输入“Param 1”或“Param 2”时，图表会自动更新，而我希望仅在单击“运行”时才更新图表。老实说，我觉得第二个问题没有任何逻辑。
library(shiny)
library(plotly)
library(rhandsontable)
library(shinyBS)
source("submic_modif.R")
#USER INTERFACE
ui =
navbarPage(
id="navbar",
shinyjs::useShinyjs(),
tabPanel(
"Model 1",
sidebarLayout(sidebarPanel(
fluidRow(column(5, numericInput(inputId = "mug0",
label = "μ0_g ",
value = 2.7233,
step = 0.0001,
width = '100%')),
column(5, numericInput(inputId = "mud0",
label = "μ0_m ",
value = 3.5874e-02,
step = 0.000001,
width = '100%')),
),
),
mainPanel(plotlyOutput("plot_manual")),
),
sidebarPanel(
fluidRow(
tabsetPanel(
id = "model1_tabsetPanel",
type = "tabs",
tabPanel(
"Single experiment",
column(12, align="center", style="padding:16px",
actionButton("runSingle", "Run", class = "btn-success")
),
rHandsontableOutput("table", height = "400px")
),
tabPanel(
"Multiple experiment",
column(12, align="center", style="padding:16px",
actionButton("runMultiple", "Run", class = "btn-success")
),
column(12, align="center", style="padding:16px",
actionButton("openModal", "Input data", class = "btn-info")
)))
)
)
)
)
server = function(input, output, session) {
#Observe selected tabset (Single/ Muliple experiment)
observeEvent(input$model1_tabsetPanel,
{
###-----------------------##
### SINGLE EXPERIMENT ##
###-----------------------##
if(input$model1_tabsetPanel == "Single experiment"){
#Create a data frame and set predefined experimental values for initial plot
exp_df = data.frame(Time=c(0,2,4,8,12,16,20,24,30,36,48),
y=c(3.025E+5,3.100E+6,3.3800E+9,5.5500E+10,2.180E+11,5.600E+11,9.780E+11,1.530E+12,1.610E+12,1.050E+12,8.630E+11)
)
#Make dataframe reactive to changes
datavalues=reactiveValues(data=exp_df)
#Set predefine vectors to initial plot
time_mod = c(0,5,10,15,20,25,30,35,40,45,50)
y_mod = c(3.025000e+05,9.537914e+05,2.771997e+06,7.468204e+06,1.875098e+07,1.343028e+12,1.343028e+12,1.343028e+12,1.343028e+12,1.343028e+12,1.343028e+12)
#Create a handsontable with the dataframe content
output$table = renderRHandsontable({
rhandsontable(datavalues$data,maxRows = 100, colHeaders = c("Time","CFU/mL"))
})
#Refresh dataframe values and plot results just when clicking "Run" button
observeEvent(
input$runSingle,
{datavalues$data=hot_to_r(input$table)
# Packing equation parameters in a vector
p1=input$mug0
p2=input$mud0
p=c(p1,p2)
#Extracts experimental y and time from dataframe
y_exp=unlist(datavalues$data$y)
time_exp = unlist(datavalues$data$Time)
#Generate model output
time_mod = time_exp
y_mod = y_exp * p1 * p2
#Plot results
output$plot_manual=renderPlotly({
plot_ly(datavalues$data, x=~Time, y=~y, name = "Experimental data", type = 'scatter',
mode = 'markers', color ="orange") %>%
add_lines(name="Model output",x=time_mod, y=y_mod, mode='line') %>%
layout(yaxis=list(showexponent= "all", exponentformat='E'))
})
})
output$plot_manual=renderPlotly({
plot_ly(datavalues$data, x=~Time, y=~y, name = "Experimental data", type = 'scatter',
mode = 'markers', color ="orange") %>%
add_lines(name="Model output",x= time_mod, y=y_mod, mode='line') %>%
layout(yaxis=list(showexponent= "all", exponentformat='E'))
})
}
###-----------------------##
### CODE FOR UPLOAD FILE ##
###-----------------------##
else if (input$model1_tabsetPanel == "Multiple experiment"){
#Create a data frame and set predefined values for initial plot
preset_df = data.frame(exp1_t= c(0,2,4,8,12,16,20,24,30,36,48,rep(NA,89)),
exp1_y = c(302500,5800000,5650000000,1.1675e11,4.975e11,1.9075e12,4.8250e12,5.4250e12,5.600e12,5.1250e12,3.9000e12,rep(NA,89)),
exp1_d = c(50,50,50,50,50,50,50,50,50,50,50,rep(NA,89)),
exp2_y = c(302500,3100000,3375000000,5.5500e10,2.175e11,5.6000e11,9.7750e11,1.5350e12,1.615e12,1.0525e12,8.6250e11,rep(NA,89)),
exp2_d = c(50,50,50,50,50,50,50,50,50,50,50,rep(NA,89)),
exp3_y = c(302500,1210000,2030000000,4.0000e10,1.520e11,3.5000e11,4.8000e11,7.8000e11,7.300e11,5.7000e11,4.9000e11,rep(NA,89)),
exp3_d = c(50,50,50,50,50,50,50,50,50,50,50,rep(NA,89)))
colHeaders = reactive({
input_count = 1
headers = character(12)
headers[1] = "Time"
for(i in seq(from = 2, to = 10, by = 2)){
headers[i] = paste0(input[[paste0("colHeader", input_count )]], " CFU/mL")
headers[i+1] = paste0(input[[paste0("colHeader", input_count )]], " Drug (mg/L)")
input_count = input_count + 1
}
headers
})
#Make dataframe reactive to changes
outputValues=reactiveValues(data=preset_df)
#Create a handsontable with the dataframe content, using inputs values to set colheaders
output$table2 = renderRHandsontable({
rhandsontable(outputValues$data,maxRows = 100, colHeaders = colHeaders())
})
#A loop that observe changes in inputs values and set col names in df and handsontable
for (i in 1:5) {
observeEvent(input[[paste0("colHeader", i)]], {
colnames(preset_df)[i] = input[[paste0("colHeader", i)]]
output$hot = renderRHandsontable({
handsontable(outputValues$data,maxRows = 100, colHeaders = colHeaders())
})
})
}
#Apply changes in handsontable to dataframe when clicking in "Run"
observeEvent(input$runMultiple,
{
outputValues$data = hot_to_r(input$table2)
output$plot_manual = renderPlotly({
p=plot_ly(type="scatter", mode="markers")
#Iterate over dataframe and dynamically add traces to plot
l=2
while (l<ncol(outputValues$data)+1){
#Packing parameters in a vector
p1=input$mug0
p2=input$mud0
params=c(p1,p2)
#Extracts experimental y and time from dataframe
time_exp = unlist(outputValues$data[1])
y_exp= unlist(outputValues$data[l])
#Generate model output
time_mod = time_exp
y_mod = y_exp * p1 * p2
#Plot expected and observed results
p = add_trace(p, x=time_exp, y= y_exp, mode="markers", name= paste("Observed", l-1))
p = add_lines(p, x=time_mod ,y= y_mod, mode="line", name=paste("Expected ",l-1))
l = l+1
}
p%>%
layout(yaxis=list(showexponent= "all", exponentformat='E'))
})
})
observeEvent(input$openModal, {
showModal(
modalDialog(
id = "tableModal",
title = "Input your data",
footer = modalButton("Close"),
easyClose = TRUE,
size = "l",
fluidRow(
column(width = 12,
rHandsontableOutput("table2", height = "400px"),
column(width=6,
textInput("colHeader1", "Header 1:", value = "Exp1"),
textInput("colHeader2", "Header 2:", value = "Exp2"),
textInput("colHeader3", "Header 3:", value = "Exp3")
)
)
)
)
)
})
}
})
}
shinyApp(ui, server)
我认为原因如下。当您在尚未打开模式的情况下选择“多个实验”选项卡并按“运行”按钮时，rhandsontable
table2input$table2NULL要解决这个问题，您可以使用无功导体，而不是使用无功值
outputValues$dataData <- reactive({
if(is.null(input$table2)) {
preset_df
} else {
hot_to_r(input$table2)
}
})
顺便说一句，您正在嵌套反应性元素（观察者内部的观察者等），这是一个不好的做法。