Reputation: 860
Please run the R shiny script below, I shall attach two screens and need a little assistance with positioning of the widgets here:
Screen 1:
Note: The left border of the box should coincide with the left border of selectInput widget.
Screen 2: 1. Please help with shifting of the first and second selectInput widget, and kpi boxes above such that the box plots width can be increased like the requirement in the above screen. Please help.
## app.R ##
library(shiny)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(title = "Iris Chart"),
dashboardSidebar(
width = 0
),
dashboardBody(
tags$head(tags$style(HTML('.info-box {min-height: 45px;} .info-box-icon
{height: 45px; line-height: 45px;} .info-box-content {padding-top: 0px;
padding-bottom: 0px;}
'))),
fluidRow(
column(1,
selectInput("Position", "",
c("User_Analyses","User_Activity_Analyses"),selected = "Median", width =
"400"),
conditionalPanel(
condition = "input.Position == 'User_Analyses'",
selectInput("stats", "", c("Time","Cases"),selected = "Median", width =
"400"))),
tags$br(),
column(10,
infoBox("User1", paste0(10), icon = icon("credit-card"), width = "3"),
infoBox("User2",paste0(10), icon = icon("credit-card"), width =
"3"),
infoBox("User3",paste0(10), icon = icon("credit-card"), width =
"3"),
infoBox("User4",paste0(16), icon = icon("credit-card"), width =
"3")),
column(10,
conditionalPanel(
condition = "input.Position == 'User_Analyses'",
box(title = "Plot1", status = "primary",height = "537" ,solidHeader = T,
plotOutput("case_hist",height = "466")),
box(title = "Plot2", status = "primary",height = "537" ,solidHeader = T,
plotOutput("trace_hist",height = "466"))
),
conditionalPanel(
condition = "input.Position == 'User_Activity_Analyses'",
box(title = "Plot3",status = "primary",solidHeader = T,height = "537",width = "6",
plotOutput("sankey_plot")),
box(title = "Plot4",status = "primary",solidHeader = T,height = "537",width = "6",
plotOutput("sankey_table"))
)
)
)
)
)
server <- function(input, output)
{
output$case_hist <- renderPlot(
plot(iris$Sepal.Length)
)
output$trace_hist <- renderPlot(
plot(mtcars$mpg)
)
output$sankey_plot <- renderPlot({
plot(diamonds$carat)
})
#Plot for Sankey Data table
output$sankey_table <- renderPlot({
plot(iris$Petal.Length)
})
}
shinyApp(ui, server)
Upvotes: 3
Views: 5601
Reputation: 5003
Is this somewhat what you want.
library(shiny)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(title = "Iris Chart"),
dashboardSidebar(
width = 0
),
dashboardBody(
tags$head(tags$style(HTML('.info-box {min-height: 45px;} .info-box-icon
{height: 45px; line-height: 45px;} .info-box-content {padding-top: 0px;
padding-bottom: 0px;}
'))),
fluidRow(
column(
width = 12,
column(
width = 2,
selectInput("Position", "",
c("User_Analyses","User_Activity_Analyses"),selected = "Median", width =
"400"),
conditionalPanel(
condition = "input.Position == 'User_Analyses'",
style = "margin-top:-22px;",
selectInput("stats", "", c("Time","Cases"),selected = "Median", width = "400"))
),
column(
style = "padding-top:20px;",
width = 10,
infoBox("User1", paste0(10), icon = icon("credit-card"), width = "3"),
infoBox("User2",paste0(10), icon = icon("credit-card"), width ="3"),
infoBox("User3",paste0(10), icon = icon("credit-card"), width ="3"),
infoBox("User4",paste0(16), icon = icon("credit-card"), width ="3"))
),
column(
width = 12,
conditionalPanel(
condition = "input.Position == 'User_Analyses'",
box(title = "Plot1", status = "primary",height = "537" ,solidHeader = T,
plotOutput("case_hist",height = "466")),
box(title = "Plot2", status = "primary",height = "537" ,solidHeader = T,
plotOutput("trace_hist",height = "466"))
),
conditionalPanel(
condition = "input.Position == 'User_Activity_Analyses'",
box(title = "Plot3",status = "primary",solidHeader = T,height = "537",width = "6",
plotOutput("sankey_plot")),
box(title = "Plot4",status = "primary",solidHeader = T,height = "537",width = "6",
plotOutput("sankey_table"))
)
)
)
)
)
server <- function(input, output)
{
output$case_hist <- renderPlot(
plot(iris$Sepal.Length)
)
output$trace_hist <- renderPlot(
plot(mtcars$mpg)
)
output$sankey_plot <- renderPlot({
plot(diamonds$carat)
})
#Plot for Sankey Data table
output$sankey_table <- renderPlot({
plot(iris$Petal.Length)
})
}
shinyApp(ui, server)
Upvotes: 3