我挣扎了三个元素,但解决了here
现在正在与四个元素斗争。我仍然没有看到一个简单的教程,它可以帮助我理解这个问题,并且不再打扰SO社区。
我想要什么?正确对齐四个元素。将条形图放在过滤器下面。然后它将是一个完美的对齐方式。
我的ui看起来像这样
# User interface
ui <- fluidPage(theme = shinytheme("united"),
titlePanel(HTML("<h1><center><font size=14> Crimes in Washington, DC (2017) </font></center></h1>")),
# titlePanel("Crimes in Washington, DC (2017)", align = "center"),
fluidRow(column(4, align="center",
selectInput("offenceInput", "Type of Offence",
choices = sort(unique(incidents$Offense)),
selected = sort(unique(incidents$Offense)),
multiple = TRUE),
selectInput("methodInput", "Method of Offence",
choices = sort(unique(incidents$Method)),
selected = sort(unique(incidents$Method)),
multiple = TRUE),
selectInput("shiftInput", "Police Shift",
choices = sort(unique(incidents$Shift)),
selected = sort(unique(incidents$Shift)),
multiple = TRUE),
selectInput('background', 'Background',
choices = providers,
multiple = FALSE,
selected = 'Stamen.TonerLite'),
dateRangeInput('daterangeInput',
label = 'Date',
start = as.Date('2017-01-01') , end = as.Date('2017-12-31')
)
),
column(8,
leafletOutput(outputId = 'map', height = 600, width = 800),
column(10, plotOutput("bar"),
column(12,
dataTableOutput('my_table')
)
)
)))
答案 0 :(得分:0)
与R社区一起解决。需要额外的工作,但我达到了预期的效果。
# User interface
ui <- fluidPage(theme = shinytheme("united"),
titlePanel(HTML("<h1><center><font size=14> Crimes in Washington, DC (2017) </font></center></h1>")),
fluidRow(column(4, align="center",
selectInput("offenceInput", "Type of Offence",
choices = sort(unique(incidents$Offense)),
selected = sort(unique(incidents$Offense)),
multiple = TRUE),
selectInput("methodInput", "Method of Offence",
choices = sort(unique(incidents$Method)),
selected = sort(unique(incidents$Method)),
multiple = TRUE),
selectInput("shiftInput", "Police Shift",
choices = sort(unique(incidents$Shift)),
selected = sort(unique(incidents$Shift)),
multiple = TRUE),
selectInput('background', 'Background',
choices = providers,
multiple = FALSE,
selected = 'Stamen.TonerLite'),
dateRangeInput('daterangeInput',
label = 'Date',
start = as.Date('2017-01-01') , end = as.Date('2017-12-31')
),
br(),
plotOutput("bar")
),
column(8,
leafletOutput(outputId = 'map', height = 600, width = 800),
dataTableOutput('my_table')
)
))