ShinyApp 错误：selectInput、数据子集
ShinyApp errors: selectInput, data-subsetting
我正在创建闪亮的应用程序。我的目标是可视化一些数据切片，具体取决于 input.I 我对结果非常满意。
但是，我的应用程序在加载时有一些错误。在绘制图形和可视化输入之前，它会在屏幕上显示一些错误（您可以启动应用程序并查看问题）。
我相信，第一个问题是数据过滤。我不知道如何处理它以及问题是什么。我可能需要使用其他方法或其他包吗？ （参见 output$Brand）。
Error in grep(pattern, levels(vector)) : invalid 'pattern' argument
第二个错误出现在我创建 selectInput 时。我想在一个图中可视化特定类别的所有品牌，并可以选择按品牌过滤数据。但是，我的方法效果不佳。有什么建议么？ （参见 output$Brand）。
Error in if (input$Brand == "All") { : argument is of length zero
此外，我附上了您可以生成的代码。
对于如何简化代码，您有更多的建议吗？
感谢您的帮助！
library(shiny)
library(shinydashboard)
library(data.table)
library(ggplot2)
library(grid)
library(scales)
library(ggthemes)
# Header -----------------------------------------------------------
header <- dashboardHeader(title="Dashboard")
# Sidebar --------------------------------------------------------------
sm <- sidebarMenu(
menuItem(
text="Graph1",
tabName="Graph1",
icon=icon("home")
)
)
sidebar <- dashboardSidebar(sm)
# Body --------------------------------------------------
body <- dashboardBody(
# Layout --------------------------------------------
tabItems(
tabItem(
tabName="Graph1",
fluidPage(
fluidRow(
box(
title = "Inputs", status = "warning", width = 2, solidHeader = TRUE,
uiOutput("Year"),
uiOutput("Category"),
uiOutput("Brand"),
sliderInput("Finalas.Range", "Months:",
min = 1, max = 12, value = c(1,12))
),
box(
title = "Season", width = 10, status = "info", solidHeader = TRUE,
plotOutput("Graph1")
)
)
)
)
)
)
# Setup Shiny app UI components -------------------------------------------
ui <- dashboardPage(header, sidebar, body, skin="black")
# Setup Shiny app back-end components -------------------------------------
server <- function(input, output) {
# Generate data --------------------------------------
set.seed(1992)
n=99
Year <- sample(2013:2015, n, replace = TRUE, prob = NULL)
Month <- sample(1:12, n, replace = TRUE, prob = NULL)
Category <- sample(c("Car", "Bus", "Bike"), n, replace = TRUE, prob = NULL)
Brand <- sample("Brand", n, replace = TRUE, prob = NULL)
Brand <- paste0(Brand, sample(1:14, n, replace = TRUE, prob = NULL))
USD <- abs(rnorm(n))*100
df <- data.frame(Year, Month, Category, Brand, USD)
# Inputs --------------------------------------
output$Year <- renderUI({
selectInput("Year",
"Year:",
c(unique(as.character(df$Year))), selected = "2015")
})
output$Category <- renderUI({
selectInput("Category", "Choose category:",
choices = c("Car","Bus", "Bike" ))
})
output$Brand <- renderUI({
df2 <- (data.table(df))[like(df$Category,input$Category)]
selectInput("Brand",
"Brand:",
c("All", unique(as.character(df2$Brand))))
})
# Plot --------------------------------
output$Graph1 <- renderPlot({
df <- data.table(df)
if (input$Brand == "All") {
df <- df[like(df$Year, input$Year)]
df <- df[like(df$Category,input$Category)]
ggplot(df, aes(x=factor(Month,levels=1:12), y=USD, fill=Brand))+
geom_bar(stat='identity')+
scale_x_discrete('Month', breaks=factor(1:12), drop=FALSE)+
scale_fill_gdocs(guide = guide_legend(title = "Brand"))
} else {
df <- df[like(df$Year, input$Year)]
df <- df[like(df$Category,input$Category)]
df <- df[which(df$Brand == input$Brand),]
validate(
need(sum(df$USD)>0, paste(input$Brand, "was inactive in Year:",input$Year))
)
ggplot(df, aes(x=factor(Month,levels=1:12), y=USD, fill=Brand))+
geom_bar(stat='identity')+
scale_x_discrete('Month', breaks=factor(1:12), drop=FALSE)
}
})
# -----------------------------------------------------------------------------
}
# Render Shiny app --------------------------------------------------------
shinyApp(ui, server)
以下应该消除这些错误：对于#1，datatable 中的函数like 给出了错误，所以我将其改为%in%。对于#2，你有一个 null 作为默认值，所以用 if 语句
来处理它
rm(list = ls())
library(shiny)
library(shinydashboard)
library(data.table)
library(ggplot2)
library(grid)
library(scales)
library(ggthemes)
# Header -----------------------------------------------------------
header <- dashboardHeader(title="Dashboard")
# Sidebar --------------------------------------------------------------
sm <- sidebarMenu(
menuItem(
text="Graph1",
tabName="Graph1",
icon=icon("home")
)
)
sidebar <- dashboardSidebar(sm)
# Body --------------------------------------------------
body <- dashboardBody(
# Layout --------------------------------------------
tabItems(
tabItem(
tabName="Graph1",
fluidPage(
fluidRow(
box(
title = "Inputs", status = "warning", width = 2, solidHeader = TRUE,
uiOutput("Year"),
uiOutput("Category"),
uiOutput("Brand"),
sliderInput("Finalas.Range", "Months:",
min = 1, max = 12, value = c(1,12))
),
box(
title = "Season", width = 10, status = "info", solidHeader = TRUE,
plotOutput("Graph1")
)
)
)
)
)
)
# Setup Shiny app UI components -------------------------------------------
ui <- dashboardPage(header, sidebar, body, skin="black")
# Setup Shiny app back-end components -------------------------------------
server <- function(input, output) {
# Generate data --------------------------------------
set.seed(1992)
n=99
Year <- sample(2013:2015, n, replace = TRUE, prob = NULL)
Month <- sample(1:12, n, replace = TRUE, prob = NULL)
Category <- sample(c("Car", "Bus", "Bike"), n, replace = TRUE, prob = NULL)
Brand <- sample("Brand", n, replace = TRUE, prob = NULL)
Brand <- paste0(Brand, sample(1:14, n, replace = TRUE, prob = NULL))
USD <- abs(rnorm(n))*100
df <- data.frame(Year, Month, Category, Brand, USD)
# Inputs --------------------------------------
output$Year <- renderUI({
selectInput("Year",
"Year:",
c(unique(as.character(df$Year))), selected = "2015")
})
output$Category <- renderUI({
selectInput("Category", "Choose category:",
choices = c("Car","Bus", "Bike" ))
})
output$Brand <- renderUI({
# first error
#df2 <- (data.table(df))[like(df$Category,input$Category)]
df2 <- df[df$Category %in% input$Category,]
selectInput("Brand",
"Brand:",
c("All", unique(as.character(df2$Brand))))
})
# Plot --------------------------------
output$Graph1 <- renderPlot({
df <- data.table(df)
if(is.null(input$Brand) || is.na(input$Brand)){return()}
else if (input$Brand == "All") {
df <- df[like(df$Year, input$Year)]
df <- df[like(df$Category,input$Category)]
ggplot(df, aes(x=factor(Month,levels=1:12), y=USD, fill=Brand))+
geom_bar(stat='identity')+
scale_x_discrete('Month', breaks=factor(1:12), drop=FALSE)+
scale_fill_gdocs(guide = guide_legend(title = "Brand"))
} else {
df <- df[like(df$Year, input$Year)]
df <- df[like(df$Category,input$Category)]
df <- df[which(df$Brand == input$Brand),]
validate(
need(sum(df$USD)>0, paste(input$Brand, "was inactive in Year:",input$Year))
)
ggplot(df, aes(x=factor(Month,levels=1:12), y=USD, fill=Brand))+
geom_bar(stat='identity')+
scale_x_discrete('Month', breaks=factor(1:12), drop=FALSE)
}
})
# -----------------------------------------------------------------------------
}
# Render Shiny app --------------------------------------------------------
shinyApp(ui, server)
我正在创建闪亮的应用程序。我的目标是可视化一些数据切片，具体取决于 input.I 我对结果非常满意。 但是，我的应用程序在加载时有一些错误。在绘制图形和可视化输入之前，它会在屏幕上显示一些错误（您可以启动应用程序并查看问题）。
我相信，第一个问题是数据过滤。我不知道如何处理它以及问题是什么。我可能需要使用其他方法或其他包吗？ （参见 output$Brand）。
Error in grep(pattern, levels(vector)) : invalid 'pattern' argument
第二个错误出现在我创建 selectInput 时。我想在一个图中可视化特定类别的所有品牌，并可以选择按品牌过滤数据。但是，我的方法效果不佳。有什么建议么？ （参见 output$Brand）。
Error in if (input$Brand == "All") { : argument is of length zero
此外，我附上了您可以生成的代码。
对于如何简化代码，您有更多的建议吗？
感谢您的帮助！
library(shiny)
library(shinydashboard)
library(data.table)
library(ggplot2)
library(grid)
library(scales)
library(ggthemes)
# Header -----------------------------------------------------------
header <- dashboardHeader(title="Dashboard")
# Sidebar --------------------------------------------------------------
sm <- sidebarMenu(
menuItem(
text="Graph1",
tabName="Graph1",
icon=icon("home")
)
)
sidebar <- dashboardSidebar(sm)
# Body --------------------------------------------------
body <- dashboardBody(
# Layout --------------------------------------------
tabItems(
tabItem(
tabName="Graph1",
fluidPage(
fluidRow(
box(
title = "Inputs", status = "warning", width = 2, solidHeader = TRUE,
uiOutput("Year"),
uiOutput("Category"),
uiOutput("Brand"),
sliderInput("Finalas.Range", "Months:",
min = 1, max = 12, value = c(1,12))
),
box(
title = "Season", width = 10, status = "info", solidHeader = TRUE,
plotOutput("Graph1")
)
)
)
)
)
)
# Setup Shiny app UI components -------------------------------------------
ui <- dashboardPage(header, sidebar, body, skin="black")
# Setup Shiny app back-end components -------------------------------------
server <- function(input, output) {
# Generate data --------------------------------------
set.seed(1992)
n=99
Year <- sample(2013:2015, n, replace = TRUE, prob = NULL)
Month <- sample(1:12, n, replace = TRUE, prob = NULL)
Category <- sample(c("Car", "Bus", "Bike"), n, replace = TRUE, prob = NULL)
Brand <- sample("Brand", n, replace = TRUE, prob = NULL)
Brand <- paste0(Brand, sample(1:14, n, replace = TRUE, prob = NULL))
USD <- abs(rnorm(n))*100
df <- data.frame(Year, Month, Category, Brand, USD)
# Inputs --------------------------------------
output$Year <- renderUI({
selectInput("Year",
"Year:",
c(unique(as.character(df$Year))), selected = "2015")
})
output$Category <- renderUI({
selectInput("Category", "Choose category:",
choices = c("Car","Bus", "Bike" ))
})
output$Brand <- renderUI({
df2 <- (data.table(df))[like(df$Category,input$Category)]
selectInput("Brand",
"Brand:",
c("All", unique(as.character(df2$Brand))))
})
# Plot --------------------------------
output$Graph1 <- renderPlot({
df <- data.table(df)
if (input$Brand == "All") {
df <- df[like(df$Year, input$Year)]
df <- df[like(df$Category,input$Category)]
ggplot(df, aes(x=factor(Month,levels=1:12), y=USD, fill=Brand))+
geom_bar(stat='identity')+
scale_x_discrete('Month', breaks=factor(1:12), drop=FALSE)+
scale_fill_gdocs(guide = guide_legend(title = "Brand"))
} else {
df <- df[like(df$Year, input$Year)]
df <- df[like(df$Category,input$Category)]
df <- df[which(df$Brand == input$Brand),]
validate(
need(sum(df$USD)>0, paste(input$Brand, "was inactive in Year:",input$Year))
)
ggplot(df, aes(x=factor(Month,levels=1:12), y=USD, fill=Brand))+
geom_bar(stat='identity')+
scale_x_discrete('Month', breaks=factor(1:12), drop=FALSE)
}
})
# -----------------------------------------------------------------------------
}
# Render Shiny app --------------------------------------------------------
shinyApp(ui, server)
以下应该消除这些错误：对于#1，datatable 中的函数like 给出了错误，所以我将其改为%in%。对于#2，你有一个 null 作为默认值，所以用 if 语句
rm(list = ls())
library(shiny)
library(shinydashboard)
library(data.table)
library(ggplot2)
library(grid)
library(scales)
library(ggthemes)
# Header -----------------------------------------------------------
header <- dashboardHeader(title="Dashboard")
# Sidebar --------------------------------------------------------------
sm <- sidebarMenu(
menuItem(
text="Graph1",
tabName="Graph1",
icon=icon("home")
)
)
sidebar <- dashboardSidebar(sm)
# Body --------------------------------------------------
body <- dashboardBody(
# Layout --------------------------------------------
tabItems(
tabItem(
tabName="Graph1",
fluidPage(
fluidRow(
box(
title = "Inputs", status = "warning", width = 2, solidHeader = TRUE,
uiOutput("Year"),
uiOutput("Category"),
uiOutput("Brand"),
sliderInput("Finalas.Range", "Months:",
min = 1, max = 12, value = c(1,12))
),
box(
title = "Season", width = 10, status = "info", solidHeader = TRUE,
plotOutput("Graph1")
)
)
)
)
)
)
# Setup Shiny app UI components -------------------------------------------
ui <- dashboardPage(header, sidebar, body, skin="black")
# Setup Shiny app back-end components -------------------------------------
server <- function(input, output) {
# Generate data --------------------------------------
set.seed(1992)
n=99
Year <- sample(2013:2015, n, replace = TRUE, prob = NULL)
Month <- sample(1:12, n, replace = TRUE, prob = NULL)
Category <- sample(c("Car", "Bus", "Bike"), n, replace = TRUE, prob = NULL)
Brand <- sample("Brand", n, replace = TRUE, prob = NULL)
Brand <- paste0(Brand, sample(1:14, n, replace = TRUE, prob = NULL))
USD <- abs(rnorm(n))*100
df <- data.frame(Year, Month, Category, Brand, USD)
# Inputs --------------------------------------
output$Year <- renderUI({
selectInput("Year",
"Year:",
c(unique(as.character(df$Year))), selected = "2015")
})
output$Category <- renderUI({
selectInput("Category", "Choose category:",
choices = c("Car","Bus", "Bike" ))
})
output$Brand <- renderUI({
# first error
#df2 <- (data.table(df))[like(df$Category,input$Category)]
df2 <- df[df$Category %in% input$Category,]
selectInput("Brand",
"Brand:",
c("All", unique(as.character(df2$Brand))))
})
# Plot --------------------------------
output$Graph1 <- renderPlot({
df <- data.table(df)
if(is.null(input$Brand) || is.na(input$Brand)){return()}
else if (input$Brand == "All") {
df <- df[like(df$Year, input$Year)]
df <- df[like(df$Category,input$Category)]
ggplot(df, aes(x=factor(Month,levels=1:12), y=USD, fill=Brand))+
geom_bar(stat='identity')+
scale_x_discrete('Month', breaks=factor(1:12), drop=FALSE)+
scale_fill_gdocs(guide = guide_legend(title = "Brand"))
} else {
df <- df[like(df$Year, input$Year)]
df <- df[like(df$Category,input$Category)]
df <- df[which(df$Brand == input$Brand),]
validate(
need(sum(df$USD)>0, paste(input$Brand, "was inactive in Year:",input$Year))
)
ggplot(df, aes(x=factor(Month,levels=1:12), y=USD, fill=Brand))+
geom_bar(stat='identity')+
scale_x_discrete('Month', breaks=factor(1:12), drop=FALSE)
}
})
# -----------------------------------------------------------------------------
}
# Render Shiny app --------------------------------------------------------
shinyApp(ui, server)