[英]Linear Regression R Shiny application with multiple independent variable selection
我无法修改下面的脚本以使其与多个自变量一起使用。 它仅在选择单个自变量时有效。 我在脚本中添加了“multiple = TRUE”以允许同时选择多个变量。 但这并不会真正影响生成的图表和统计数据。 关于如何解决这个问题的任何建议?
任何具有数字和非数字数据的 csv 文件都可以用来测试脚本。 将 iris 或 mtcars r 数据集保存为 csv 文件可以测试脚本。
谢谢您的帮助。
library(shiny)
library(DT)
library(shinyWidgets)
ui <- fluidPage(
titlePanel("Build a Linear Model"),
sidebarPanel(
fileInput(
inputId = "filedata",
label = "Upload data. csv",
multiple = FALSE,
accept = c(".csv"),
buttonLabel = "Choosing ...",
placeholder = "No files selected yet"
),
uiOutput("xvariable"),
uiOutput("yvariable")
), #sidebarpanel
mainPanel( #DTOutput("tb1"),
fluidRow(column(6, verbatimTextOutput('lmSummary')) , column(6, plotOutput('diagnosticPlot')))
)
) #fluidpage
server <- function(input, output) {
data <- reactive({
req(input$filedata)
inData <- input$filedata
if (is.null(inData)){ return(NULL) }
mydata <- read.csv(inData$datapath, header = TRUE, sep=",")
})
output$tb1 <- renderDT(data())
output$xvariable <- renderUI({
req(data())
xa<-colnames(data())
pickerInput(inputId = 'xvar',
label = 'Select x-axis variable',
choices = c(xa[1:length(xa)]), selected=xa[1],
options = list(`style` = "btn-info"))
})
output$yvariable <- renderUI({
req(data())
ya<-colnames(data())
pickerInput(inputId = 'yvar',
label = 'Select y-axis variable',
choices = c(ya[1:length(ya)]), selected=ya[2],
options = list(`style` = "btn-info"),
multiple = TRUE)
})
lmModel <- reactive({
req(data(),input$xvar,input$yvar)
x <- as.numeric(data()[[as.name(input$xvar)]])
y <- as.numeric(data()[[as.name(input$yvar)]])
if (length(x) == length(y)){
model <- lm(x ~ y, data = data(), na.action=na.exclude)
}else model <- NULL
return(model)
})
output$lmSummary <- renderPrint({
req(lmModel())
summary(lmModel())
})
output$diagnosticPlot <- renderPlot({
req(lmModel())
par(mfrow = c(2,2))
plot(lmModel())
})
}
shinyApp(ui = ui, server = server)
您的代码中有 2 个问题:
y
通常是因变量, x
通常是自变量我没有提取数据,而是使用选定的变量来定义可在lm
调用中使用的公式:
library(shiny)
library(DT)
library(shinyWidgets)
ui <- fluidPage(
titlePanel("Build a Linear Model"),
sidebarPanel(
fileInput(
inputId = "filedata",
label = "Upload data. csv",
multiple = FALSE,
accept = c(".csv"),
buttonLabel = "Choosing ...",
placeholder = "No files selected yet"
),
uiOutput("xvariable"),
uiOutput("yvariable")
), #sidebarpanel
mainPanel( #DTOutput("tb1"),
fluidRow(column(6, verbatimTextOutput('lmSummary')) , column(6, plotOutput('diagnosticPlot')))
)
) #fluidpage
server <- function(input, output) {
data <- reactive({
req(input$filedata)
inData <- input$filedata
if (is.null(inData)){ return(NULL) }
mydata <- read.csv(inData$datapath, header = TRUE, sep=",")
})
output$tb1 <- renderDT(data())
output$xvariable <- renderUI({
req(data())
xa<-colnames(data())
pickerInput(inputId = 'xvar',
label = 'Select x-axis variable',
choices = c(xa[1:length(xa)]), selected=xa[2],
options = list(`style` = "btn-info"),
multiple = TRUE)
})
output$yvariable <- renderUI({
req(data())
ya<-colnames(data())
pickerInput(inputId = 'yvar',
label = 'Select y-axis variable',
choices = c(ya[1:length(ya)]), selected=ya[1],
options = list(`style` = "btn-info"),
multiple = FALSE)
})
lmModel <- reactive({
req(data(),input$xvar,input$yvar)
x <- as.numeric(data()[[as.name(input$xvar)]])
y <- as.numeric(data()[[as.name(input$yvar)]])
current_formula <- paste0(input$yvar, " ~ ", paste0(input$xvar, collapse = " + "))
current_formula <- as.formula(current_formula)
model <- lm(current_formula, data = data(), na.action=na.exclude)
return(model)
})
output$lmSummary <- renderPrint({
req(lmModel())
summary(lmModel())
})
output$diagnosticPlot <- renderPlot({
req(lmModel())
par(mfrow = c(2,2))
plot(lmModel())
})
}
shinyApp(ui = ui, server = server)
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