shinyURL 与 updateSelectInput 的交互
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【中文标题】shinyURL 与 updateSelectInput 的交互【英文标题】：shinyURL interaction with updateSelectInput 【发布时间】：2016-06-02 10:58:23 【问题描述】：作为我的用户界面的一部分，用户选择一组模型参数，这些参数位于三级深度列表结构的底部。
在服务器端，我使用
observe(
updateSelectInput(session, 'level1', choices = attributes(model[[input$toplevel]]))
)
observe(
updateSelectInput(session, 'level2', choices = attributes(model[[input$toplevel]][[input$level1]]))
)
在 ui selectInput 部分中将 level1、level2 的选项设置为 NULL。这会将选择框更新为仅适用于之前选择的上述级别的属性。
保存的长 URL 名称确实包含选定的 level1 和 level2 选项。但是在使用时，总是只使用属性列表的顶部进行两级深顶部的***选择。
有没有聪明的方法来解决这个问题？我认为这是对 selectInput 的selected = 的一些使用，但我似乎在四处走动，无法发现服务器端所谓的 input$level1 和 input$level2 的正确语法。
谢谢
【问题讨论】：
【参考方案1】：shinyURL 对用户输入的初始化是通过将 URL 查询字符串中的名称与 input 中的名称进行匹配来执行的。在您的应用中发生的情况是，所有selectInputs 在开始时同时由 shinyURL 设置，但此更改会触发观察者执行，从而将输入重置为其默认值。
您可以通过使用函数renderUI 动态呈现您的第 2 级和第 3 级输入来规避此问题。这将允许延迟初始化，因为 shinyURL 会等待设置输入，直到它们可用。有关此方法的说明，请参见下面的示例。
library(shiny)
library(shinyURL)
data = list(
A = list(
a = as.list(1:3),
b = as.list(4:6),
c = as.list(7:9)
),
B = list(
d = as.list(1:3),
e = as.list(4:6),
f = as.list(7:9)
)
)
ui <- shinyUI(fluidPage(
# Application title
titlePanel("Dynamic UI"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
selectInput("toplevel", "Nested List", choices = names(data)),
uiOutput("s1"),
uiOutput("s2"),
shinyURL.ui()
),
mainPanel(
h2("Selected level"),
textOutput("selectedLevel")
)
)
))
server <- shinyServer(function(input, output)
shinyURL.server()
output$s1 = renderUI(selectInput("lvl1",
label = NULL,
choices = names(data[[input$toplevel]])))
output$s2 = renderUI(
req(input$lvl1)
selectInput("lvl2",
label = NULL,
choices = data[[input$toplevel]][[input$lvl1]])
)
output$selectedLevel = renderText(
paste(input$toplevel, input$lvl1, input$lvl2, sep = " > ")
)
)
# Run the application
shinyApp(ui = ui, server = server)
编辑（2016 年 2 月 24 日）
由renderUI动态呈现并放置在不同选项卡上的输入仅在用户切换到包含输入的选项卡时才被初始化的原因如下：呈现此类输入的outputUI界面元素是output 对象，因此在网页上隐藏时默认禁用。
解决方案是在调用outputOptions 时为每个对应的outputUI 元素设置suspendWhenHidden = FALSE 选项。
我已将 Ken O'Brien 提供的修改示例上传到 https://gist.github.com/aoles/a68892717c0280647455。它可以通过 R 运行
shiny::runGist("a68892717c0280647455")
请注意，我对原始示例进行了一些小的改进：
将对attributes() 的调用替换为names()
添加了对req() 的缺失呼叫
将id 参数添加到tabsetPanels 以允许恢复它们
将ui.R 和server.R 中的一些常用部分封装到函数中
修改了生成输入矩阵的代码
【讨论】：
谢谢。这部分有效。我的另一个复杂问题是，我还没有让这成为一个完整的解决方案，我对一些 3 级深度模型参数选择有条件（并不总是使用 - 因此不显示选择。）使用此解决方案，直到用户手动移动到选项卡在设置它的地方，条件正确，模型选择为 2 个较低级别获取 NULL。原来的observes 处理了这个 - 但正如你所说，然后在 URL 输入集调用中覆盖。
我明白了，您能否分享一个说明问题的最小工作示例？谢谢！
会的。给我一天时间，我可以得到剥离版本。谢谢。
感谢您发布详细的示例，这对指出问题非常有帮助。请参阅对我的原始答案的修改以解决您的问题。
谢谢。我只有大约一个月的 R 编码。所以你不仅解决了我的问题，看起来你整理了我一些笨拙的编码。再次感谢。【参考方案2】：
@aoles
我在这里的第一个答案是我观察的起点。在把它放在一起时，我注意到一个有趣的细节。调用的 URL -will-load level2 设置使用 topLevel 设置为属性列表的第一个值。 level3 还是错了。
GetModelParams.r 中的模型
model <- list()
#*********************************************************
#
model$savory$creamcheese$wheat$beta <- 1
model$savory$creamcheese$wheat$alpha <- 2
model$savory$creamcheese$wheat$gamma <- 3
#
model$savory$creamcheese$raisin$beta <- 4
model$savory$creamcheese$raisin$alpha <- 5
model$savory$creamcheese$raisin$gamma <- 6
#
model$savory$lox$poppy$beta <- 7
model$savory$lox$poppy$alpha <- 8
model$savory$lox$poppy$gamma <- 9
#
model$savory$lox$sesame$beta <- 8
model$savory$lox$sesame$alpha <- 7
model$savory$lox$sesame$gamma <- 6
#
model$savory$butter$poppy$beta <- 5
model$savory$butter$poppy$alpha <- 4
model$savory$butter$poppy$gamma <- 3
#
model$savory$butter$wheat$beta <- 2
model$savory$butter$wheat$alpha <- 1
model$savory$butter$wheat$gamma <- 1
#
model$salty$bacon$toasted$beta <- 2
model$salty$bacon$toasted$alpha <- 3
model$salty$bacon$toasted$gamma <- 4
#
model$salty$bacon$untoasted$beta <- 5
model$salty$bacon$untoasted$alpha <- 6
model$salty$bacon$untoasted$gamma <- 7
#
model$sweet$jelly$white$beta <- 6
model$sweet$jelly$white$alpha <- 5
model$sweet$jelly$white$gamma <- 4
#
model$sweet$jelly$muffin$beta <- 3
model$sweet$jelly$muffin$alpha <- 2
model$sweet$jelly$muffin$gamma <- 1
#
model$sweet$jam$white$beta <- 7
model$sweet$jam$white$alpha <- 11
model$sweet$jam$white$gamma <- 13
#
model$sweet$jam$muffin$beta <- 1
model$sweet$jam$muffin$alpha <- 3
model$sweet$jam$muffin$gamma <- 5
ui.R:
library(shiny)
library(shinyURL)
##############################
### ui.R #####################
##############################
source("GetModelParams.r")
topLevel <- attributes(model)
shinyUI(pageWithSidebar(
headerPanel("URL conditional setting example"),
sidebarPanel(
tabsetPanel(
tabPanel("setup",
radioButtons(inputId = "nTraces",
label = "multiple trace, single parameter variation ",
choices = list("single trace" = 1, "2 traces" = 2, "3 traces" = 3, "4 traces" = 4)),
selectInput(inputId = "topLev1",
label = "select top Level",
choices = topLevel),
selectInput(inputId = "secondLev1",
label = "select second level",
choices = NULL),
selectInput(inputId = "thirdLev1",
label = "select third level",
choices = NULL),
numericInput(inputId = "area1",
label = "Total gate area (um^2)",
min = 1, max = 10, value = 5),
sliderInput(inputId = "temp1",
label = "Temperature (C)",
min = 85, max = 125, value = 125, step = 5)
),
tabPanel("trace 2",
conditionalPanel(
condition = "input.nTraces == '2' || input.nTraces == '3' || input.nTraces == '4'",
radioButtons(inputId = "parVary",
label = "choose single parameter variation ",
choices = list("model" = "model", "area" = "area", "temperature" = "temp")
),
conditionalPanel(
condition = "input.parVary == 'model'",
selectInput(inputId = "topLev2",
label = "select top level",
choices = topLevel),
selectInput(inputId = "secondLev2",
label = "select second level",
choices = NULL),
selectInput(inputId = "thirdLev2",
label = "select third Level",
choices = NULL)
),
conditionalPanel(
condition = "input.parVary == 'area'",
numericInput(inputId = "area2",
label = "Total gate area (um^2)",
min = 1, max = 10, value = 5)
),
conditionalPanel(
condition = "input.parVary == 'temp'",
sliderInput(inputId = "temp2",
label = "Temperature (C)",
min = 85, max = 125, value = 0, step = 5)
)
)
),
tabPanel("trace 3",
conditionalPanel(
condition = "input.nTraces == '3' || input.nTraces == '4'",
conditionalPanel(
condition = "input.parVary == 'model'",
selectInput(inputId = "topLev3",
label = "select top level",
choices = topLevel),
selectInput(inputId = "secondLev3",
label = "select second level",
choices = NULL),
selectInput(inputId = "thirdLev3",
label = "select third level",
choices = NULL)
),
conditionalPanel(
condition = "input.parVary == 'area'",
numericInput(inputId = "area3",
label = "Total gate area (um^2)",
min = 1, max = 10, value = 5)
),
conditionalPanel(
condition = "input.parVary == 'temp'",
sliderInput(inputId = "temp3",
label = "Temperature (C)",
min = 85, max = 125, value = 0, step = 5)
)
)
),
tabPanel("trace 4",
conditionalPanel(
condition = "input.nTraces == '4'",
conditionalPanel(
condition = "input.parVary == 'model'",
selectInput(inputId = "topLev4",
label = "select top level",
choices = topLevel),
selectInput(inputId = "secondLev4",
label = "select second level",
choices = NULL),
selectInput(inputId = "thirdLev4",
label = "select third level",
choices = NULL)
),
conditionalPanel(
condition = "input.parVary == 'area'",
numericInput(inputId = "area4",
label = "Total gate area (um^2)",
min = 1, max = 10, value = 5)
),
conditionalPanel(
condition = "input.parVary == 'temp'",
sliderInput(inputId = "temp4",
label = "Temperature (C)",
min = 85, max = 125, value = 0, step = 5)
)
)
),
shinyURL.ui(tinyURL = FALSE)
)
),
mainPanel(
tabsetPanel(
tabPanel("Output and data type", tableOutput("textDisplay")),
tabPanel("Model plots", plotOutput("modelPlot"))
)
)
))
服务器.R：
library(shiny)
library(shinyURL)
##########################################
##### server.R ###########################
##########################################
source("GetModelParams.r")
shinyServer(function(input, output, session)
shinyURL.server(session)
modelCalc <- function(temp,area,model)
hrs <- seq(from =0, to = 2, by = 0.05)
F <- area*(model$alpha) + hrs*(model$beta)^3 + exp(model$gamma*(temp/100)*hrs)
list(F = F, hrs = hrs)
observe(
updateSelectInput(session, 'thirdLev4', choices = attributes(model[[input$topLev4]][[input$secondLev4]]))
)
observe(
updateSelectInput(session, 'secondLev4', choices = attributes(model[[input$topLev4]]))
)
observe(
updateSelectInput(session, 'thirdLev3', choices = attributes(model[[input$topLev3]][[input$secondLev3]]))
)
observe(
updateSelectInput(session, 'secondLev3', choices = attributes(model[[input$topLev3]]))
)
observe(
updateSelectInput(session, 'thirdLev2', choices = attributes(model[[input$topLev2]][[input$secondLev2]]))
)
observe(
updateSelectInput(session, 'secondLev2', choices = attributes(model[[input$topLev2]]))
)
observe(
updateSelectInput(session, 'thirdLev1', choices = attributes(model[[input$topLev1]][[input$secondLev1]]))
)
observe(
updateSelectInput(session, 'secondLev1', choices = attributes(model[[input$topLev1]]))
)
output$modelPlot <- renderPlot(
temp <- lapply(paste0("temp",1:as.numeric(input$nTraces)), function(x) input[[x]])
area <- lapply(paste0("area",1:as.numeric(input$nTraces)), function(x) input[[x]])
modelStr <- c("topLev", "secondLev", "thirdLev")
modelCall <- lapply(1:as.numeric(input$nTraces), function(n) paste0(modelStr,n))
modelIn <- lapply(modelCall,function(x) model[[input[[x[1]]]]][[input[[x[2]]]]][[input[[x[3]]]]])
mLegendStr <- lapply(modelCall, function(x) paste(input[[x[1]]],input[[x[2]]],input[[x[3]]]))
modelOut <- list()
if(input$nTraces == '1')
modelOut <- modelCalc(area=area[[1]],temp=temp[[1]],model=modelIn[[1]])
else
modelOut <- switch(input$parVary,
"model" = lapply(modelIn,modelCalc,area=area[[1]],temp=temp[[1]]),
"temp" = lapply(temp,modelCalc,area=area[[1]],model=modelIn[[1]]),
"area" = lapply(area,modelCalc,temp=temp[[1]],model=modelIn[[1]])
)
if(input$nTraces =='1')
modelOut_flat <- unlist(modelOut)
else
modelOut_flat <- unlist(lapply(modelOut,unlist,recursive=FALSE))
colorVec <- c('red','blue','green','cyan','magenta','black')
F_flat <- modelOut_flat[grep("^F",names(modelOut_flat))]
hrs_flat <- modelOut_flat[grep("^hrs",names(modelOut_flat))]
ylim_v <- range(F_flat[F_flat>0])
xlim_h <- range(hrs_flat[hrs_flat>0])
if(input$nTraces == '1')
plot(modelOut$hrs[modelOut$F>0],modelOut$F[modelOut$F>0],
log="xy",pch=1, col=colorVec[1],
xlab="Time [hrs]", ylab="Model output",'o',
ylim=ylim_v,xlim=xlim_h)
else
plot(modelOut[[1]]$hrs[modelOut[[1]]$F>0],modelOut[[1]]$F[modelOut[[1]]$F>0],
log="xy",pch=1, col=colorVec[1],
xlab="Time [hrs]",ylab="Model output",'o',
ylim=ylim_v,xlim=xlim_h)
grid(col="blue")
if(input$nTraces != '1')
for(i in 2:length(modelOut))
points(modelOut[[i]]$hrs[modelOut[[i]]$F>0],modelOut[[i]]$F[modelOut[[i]]$F>0],
pch=1,col=colorVec[i],'o')
leg.names <- switch(input$parVary,
"temp" = sprintf('Temp=%.0f C',temp),
"area" = sprintf('Area=%.2e um^2',area),
"model"= sprintf('model=%s',mLegendStr)
)
legend("topleft",leg.names,bg="white",pch=1,lty=1,col=colorVec)
par(ps=11)
titleRet <- switch(input$parVary,
"temp" = title(sprintf("%s %s %s MODEL; Area=%.2eum^2", input$topLev1,input$secondLev1,input$thirdLev1,area[[1]])),
"area" = title(sprintf("%s %s %s MODEL; temp=%.0fC", input$topLev1,input$secondLev1,input$thirdLev1,temp[[1]])),
"model"= title(sprintf("MODEL; temp=%.0fC; Area=%.2eum^2", temp[[1]],area[[1]]))
)
)
output$textDisplay <- renderTable(
getMat = matrix(c(input$nTraces, class(input$nTraces),
input$topLev1, class(input$topLev1),
input$secondLev1, class(input$secondLev1),
input$thirdLev1, class(input$thirdLev1),
input$temp1, class(input$temp1),
input$area1, class(input$area1),
input$topLev2, class(input$topLev2),
input$secondLev2, class(input$secondLev2),
input$thirdLev2, class(input$thirdLev2),
input$temp2, class(input$temp2),
input$area2, class(input$area2),
input$topLev3, class(input$topLev3),
input$secondLev3, class(input$secondLev3),
input$thirdLev3, class(input$thirdLev3),
input$temp3, class(input$temp3),
input$area3, class(input$area3),
input$parVary, class(input$parVary)
), ncol=2, byrow = TRUE)
colnames(getMat) = c("Value", "Class")
getMat
)
)
【讨论】：
【参考方案3】：@aoles 第二个答案包含您的建议。这基本上可以作为 URL 调用 - 之后 - 用户手动逐步设置参数变化的“模型”，然后逐步通过跟踪选项卡。我希望得到一些不需要手动操作的东西。
非常感谢您的关注。
模型参数文件相同。
ui.R:
library(shiny)
library(shinyURL)
##############################
### ui.R #####################
##############################
source("GetModelParams.r")
topLevel <- attributes(model)
shinyUI(pageWithSidebar(
headerPanel("URL conditional setting example"),
sidebarPanel(
tabsetPanel(
tabPanel("setup",
radioButtons(inputId = "nTraces",
label = "multiple trace, single parameter variation ",
choices = list("single trace" = 1, "2 traces" = 2, "3 traces" = 3, "4 traces" = 4)),
selectInput(inputId = "topLev1",
label = "select top Level",
choices = topLevel),
uiOutput("sec1"),
uiOutput("thrd1"),
numericInput(inputId = "area1",
label = "Total gate area (um^2)",
min = 1, max = 10, value = 5),
sliderInput(inputId = "temp1",
label = "Temperature (C)",
min = 85, max = 125, value = 125, step = 5)
),
tabPanel("trace 2",
conditionalPanel(
condition = "input.nTraces == '2' || input.nTraces == '3' || input.nTraces == '4'",
radioButtons(inputId = "parVary",
label = "choose single parameter variation ",
choices = list("model" = "model", "area" = "area", "temperature" = "temp")
),
conditionalPanel(
condition = "input.parVary == 'model'",
selectInput(inputId = "topLev2",
label = "select top level",
choices = topLevel),
uiOutput("sec2"),
uiOutput("thrd2")
),
conditionalPanel(
condition = "input.parVary == 'area'",
numericInput(inputId = "area2",
label = "Total gate area (um^2)",
min = 1, max = 10, value = 5)
),
conditionalPanel(
condition = "input.parVary == 'temp'",
sliderInput(inputId = "temp2",
label = "Temperature (C)",
min = 85, max = 125, value = 0, step = 5)
)
)
),
tabPanel("trace 3",
conditionalPanel(
condition = "input.nTraces == '3' || input.nTraces == '4'",
conditionalPanel(
condition = "input.parVary == 'model'",
selectInput(inputId = "topLev3",
label = "select top level",
choices = topLevel),
uiOutput("sec3"),
uiOutput("thrd3")
),
conditionalPanel(
condition = "input.parVary == 'area'",
numericInput(inputId = "area3",
label = "Total gate area (um^2)",
min = 1, max = 10, value = 5)
),
conditionalPanel(
condition = "input.parVary == 'temp'",
sliderInput(inputId = "temp3",
label = "Temperature (C)",
min = 85, max = 125, value = 0, step = 5)
)
)
),
tabPanel("trace 4",
conditionalPanel(
condition = "input.nTraces == '4'",
conditionalPanel(
condition = "input.parVary == 'model'",
selectInput(inputId = "topLev4",
label = "select top level",
choices = topLevel),
uiOutput("sec4"),
uiOutput("thrd4")
),
conditionalPanel(
condition = "input.parVary == 'area'",
numericInput(inputId = "area4",
label = "Total gate area (um^2)",
min = 1, max = 10, value = 5)
),
conditionalPanel(
condition = "input.parVary == 'temp'",
sliderInput(inputId = "temp4",
label = "Temperature (C)",
min = 85, max = 125, value = 0, step = 5)
)
)
),
shinyURL.ui(tinyURL = FALSE)
)
),
mainPanel(
tabsetPanel(
tabPanel("Output and data type", tableOutput("textDisplay")),
tabPanel("Model plots", plotOutput("modelPlot"))
)
)
))
服务器.R：
library(shiny)
library(shinyURL)
##########################################
##### server.R ###########################
##########################################
source("GetModelParams.r")
shinyServer(function(input, output, session)
shinyURL.server(session)
modelCalc <- function(temp,area,model)
hrs <- seq(from =0, to = 2, by = 0.05)
F <- area*(model$alpha) + hrs*(model$beta)^3 + exp(model$gamma*(temp/100)*hrs)
list(F = F, hrs = hrs)
output$sec1 <- renderUI(
selectInput(inputId = "secondLev1",
label = "select second level",
choices = attributes(model[[input$topLev1]])
)
)
output$thrd1 <- renderUI(
req(input$secondLev1)
selectInput(inputId = "thirdLev1",
label = "select third level",
choices = attributes(model[[input$topLev1]][[input$secondLev1]])
)
)
output$sec2 <- renderUI(
selectInput(inputId = "secondLev2",
label = "select second level",
choices = attributes(model[[input$topLev2]])
)
)
output$thrd2 <- renderUI(
selectInput(inputId = "thirdLev2",
label = "select third level",
choices = attributes(model[[input$topLev2]][[input$secondLev2]])
)
)
output$sec3 <- renderUI(
selectInput(inputId = "secondLev3",
label = "select second level",
choices = attributes(model[[input$topLev3]])
)
)
output$thrd3 <- renderUI(
selectInput(inputId = "thirdLev3",
label = "select third level",
choices = attributes(model[[input$topLev3]][[input$secondLev3]])
)
)
output$sec4 <- renderUI(
selectInput(inputId = "secondLev4",
label = "select second level",
choices = attributes(model[[input$topLev4]])
)
)
output$thrd4 <- renderUI(
selectInput(inputId = "thirdLev4",
label = "select third level",
choices = attributes(model[[input$topLev4]][[input$secondLev4]])
)
)
output$modelPlot <- renderPlot(
temp <- lapply(paste0("temp",1:as.numeric(input$nTraces)), function(x) input[[x]])
area <- lapply(paste0("area",1:as.numeric(input$nTraces)), function(x) input[[x]])
modelStr <- c("topLev", "secondLev", "thirdLev")
modelCall <- lapply(1:as.numeric(input$nTraces), function(n) paste0(modelStr,n))
modelIn <- lapply(modelCall,function(x) model[[input[[x[1]]]]][[input[[x[2]]]]][[input[[x[3]]]]])
mLegendStr <- lapply(modelCall, function(x) paste(input[[x[1]]],input[[x[2]]],input[[x[3]]]))
modelOut <- list()
if(input$nTraces == '1')
modelOut <- modelCalc(area=area[[1]],temp=temp[[1]],model=modelIn[[1]])
else
modelOut <- switch(input$parVary,
"model" = lapply(modelIn,modelCalc,area=area[[1]],temp=temp[[1]]),
"temp" = lapply(temp,modelCalc,area=area[[1]],model=modelIn[[1]]),
"area" = lapply(area,modelCalc,temp=temp[[1]],model=modelIn[[1]])
)
if(input$nTraces =='1')
modelOut_flat <- unlist(modelOut)
else
modelOut_flat <- unlist(lapply(modelOut,unlist,recursive=FALSE))
colorVec <- c('red','blue','green','cyan','magenta','black')
F_flat <- modelOut_flat[grep("^F",names(modelOut_flat))]
hrs_flat <- modelOut_flat[grep("^hrs",names(modelOut_flat))]
ylim_v <- range(F_flat[F_flat>0])
xlim_h <- range(hrs_flat[hrs_flat>0])
if(input$nTraces == '1')
plot(modelOut$hrs[modelOut$F>0],modelOut$F[modelOut$F>0],
log="xy",pch=1, col=colorVec[1],
xlab="Time [hrs]", ylab="Model output",'o',
ylim=ylim_v,xlim=xlim_h)
else
plot(modelOut[[1]]$hrs[modelOut[[1]]$F>0],modelOut[[1]]$F[modelOut[[1]]$F>0],
log="xy",pch=1, col=colorVec[1],
xlab="Time [hrs]",ylab="Model output",'o',
ylim=ylim_v,xlim=xlim_h)
grid(col="blue")
if(input$nTraces != '1')
for(i in 2:length(modelOut))
points(modelOut[[i]]$hrs[modelOut[[i]]$F>0],modelOut[[i]]$F[modelOut[[i]]$F>0],
pch=1,col=colorVec[i],'o')
leg.names <- switch(input$parVary,
"temp" = sprintf('Temp=%.0f C',temp),
"area" = sprintf('Area=%.2e um^2',area),
"model"= sprintf('model=%s',mLegendStr)
)
legend("topleft",leg.names,bg="white",pch=1,lty=1,col=colorVec)
par(ps=11)
titleRet <- switch(input$parVary,
"temp" = title(sprintf("%s %s %s MODEL; Area=%.2eum^2", input$topLev1,input$secondLev1,input$thirdLev1,area[[1]])),
"area" = title(sprintf("%s %s %s MODEL; temp=%.0fC", input$topLev1,input$secondLev1,input$thirdLev1,temp[[1]])),
"model"= title(sprintf("MODEL; temp=%.0fC; Area=%.2eum^2", temp[[1]],area[[1]]))
)
)
output$textDisplay <- renderTable(
getMat = matrix(c(input$nTraces, class(input$nTraces),
input$topLev1, class(input$topLev1),
input$secondLev1, class(input$secondLev1),
input$thirdLev1, class(input$thirdLev1),
input$temp1, class(input$temp1),
input$area1, class(input$area1),
input$topLev2, class(input$topLev2),
input$secondLev2, class(input$secondLev2),
input$thirdLev2, class(input$thirdLev2),
input$temp2, class(input$temp2),
input$area2, class(input$area2),
input$topLev3, class(input$topLev3),
input$secondLev3, class(input$secondLev3),
input$thirdLev3, class(input$thirdLev3),
input$temp3, class(input$temp3),
input$area3, class(input$area3),
input$parVary, class(input$parVary)
), ncol=2, byrow = TRUE)
colnames(getMat) = c("Value", "Class")
getMat
)
)
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