我在让 R Shiny 代码生成动态仪表板时遇到一些问题，用户可以在其中选择线性回归模型中的 1 个或多个自变量并打印结果。我已经能够成功地遵循用户仅输入一个自变量的示例，但对于多个自变量，我没有找到同样的运气。我不确定我做错了什么，但我收到一条错误消息，“模型公式中的项无效”。
下面是我迄今为止使用过的代码:
library(shinythemes)
library(shinyWidgets)
library(shiny)
library(shinydashboard)
#data(mtcars)
AttributeChoices=c("cyl","disp","hp","drat","wt","qsec","vs")
# Define UI for application
ui = fluidPage(
navbarPage("R Shiny Dashboard",
tabPanel("Welcome",
tabName = "welcome",
icon=icon("door-open"),
fluidPage(theme=shinytheme("cerulean"),
h1("Welcome to my Shiny Dashboard!"),
br(),
p(strong(tags$u("What is this dashboard all about?"))),
p("I'm going to do stuff."),
br(),
p(strong(tags$u("Here's another question."))),
p("Here's my answer."),
br(),
p(strong(tags$u("How can I use this dashboard?"))),
p("You can click on any of the tabs above to see a different analysis of the data.")
)),
tabPanel("Regression",
tabname="regression",
icon=icon("calculator"),
selectInput(inputId = "indep", label = "Independent Variables",
multiple = TRUE, choices = as.list(AttributeChoices), selected = AttributeChoices[1]),
verbatimTextOutput(outputId = "RegOut")
)
))
# Define server logic
server <- function(input, output) {
#-------------------REGRESSION-------------------#
lm_reg <- reactive(
lm(as.formula(paste(mtcars$mpg," ~ ",paste(input$indep,collapse="+"))),data=CFD)
)
output$RegOut = renderPrint({summary(lm_reg())})
}
# Run the application
shinyApp(ui = ui, server = server)
在 StackOverflow 上阅读类似的帖子似乎表明问题可能在于列名称中包含空格，但本示例中的情况并非如此。我不知道如何解决这个问题。谁能帮我指出正确的方向？谢谢!
最佳答案
给你，我喜欢使用配方包来解决这样的问题，而不是依赖于非常困难的字符串操作，诀窍是使用!!!运算符，您甚至可以花哨并让用户传递一些选择帮助器
library(shinythemes)
library(shinyWidgets)
library(shiny)
library(shinydashboard)
library(recipes)
#data(mtcars)
AttributeChoices=c("cyl","disp","hp","drat","wt","qsec","vs")
# Define UI for application
ui = fluidPage(
navbarPage("R Shiny Dashboard",
tabPanel("Welcome",
tabName = "welcome",
icon=icon("door-open"),
fluidPage(theme=shinytheme("cerulean"),
h1("Welcome to my Shiny Dashboard!"),
br(),
p(strong(tags$u("What is this dashboard all about?"))),
p("I'm going to do stuff."),
br(),
p(strong(tags$u("Here's another question."))),
p("Here's my answer."),
br(),
p(strong(tags$u("How can I use this dashboard?"))),
p("You can click on any of the tabs above to see a different analysis of the data.")
)),
tabPanel("Regression",
tabname="regression",
icon=icon("calculator"),
selectInput(inputId = "indep", label = "Independent Variables",
multiple = TRUE, choices = as.list(AttributeChoices), selected = AttributeChoices[1]),
verbatimTextOutput(outputId = "RegOut")
)
))
# Define server logic
server <- function(input, output) {
#-------------------REGRESSION-------------------#
recipe_formula <- reactive(mtcars %>%
recipe() %>%
update_role(mpg,new_role = "outcome") %>%
update_role(!!!input$indep,new_role = "predictor") %>%
formula())
lm_reg <- reactive(
lm(recipe_formula(),data = mtcars)
)
output$RegOut = renderPrint({summary(lm_reg())})
}
# Run the application
shinyApp(ui = ui, server = server)
关于r - 使用 R Shiny 进行多元线性回归(SelectInput --> multiple=TRUE)，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/62367866/