I have a shiny app. I want to make my datatable take up the entire page of my tab. Here is what it looks like now. I want to make it so that the table takes up more space on the page. I understand if the window is smaller that you may need to scroll, but I would just like the table taking up the entire space on the page in the first place. How can I do this? I am new to r shiny, so I am providing my entire ui because I cannot seem to find a solution that makes sense online for the ui part, but only the server part which pertains to this tab and table. Ideally, I would also like to have the headers for the columns centered. I also don't understand why when I rename the columns and use "\n" that it is not moving the text to the next row for the headers.
ui<- navbarPage(
title = "Quinn MU Habitat, Demographic, Genetic, and Climate Data",
tabPanel(
"Remote Sensing Data",
sidebarLayout(
sidebarPanel(
# Dropdown menu to select polygon layer
selectInput("layer", "Select remote sensing product:",
choices = c("NDVI status" = "Polygon Layer 1",
"NDVI trend 1985-2021" = "Polygon Layer 2",
"NDVI trend 2017-2021" = "Polygon Layer 3",
"NDVI resilience 2017-2021" = "Polygon Layer 4",
"Percentage Active Riparian" = "Polygon Layer 5",
"Valley Bottom Area (sqkm)" = "Polygon Layer 6"),
selected = "NDVI status"),
# Dropdown menu to select group
selectInput("Pop_Name", "Select population:",
choices = c("Andorno Creek", "Battle Creek",
"Colman Creek",
"Crowley Creek", "Eightmile Creek",
"Falls Canyon Creek", "Jackson Creek",
"Sage Line and Corral Creeks",
"Threemile Creek",
"Washburn Creek"),
selected = "Andorno Creek"),
# Panel for distribution plot
plotOutput("distributionPlot")
),
mainPanel(
leafletOutput("map"), # Output to render the leaflet map
verbatimTextOutput("layerDescription") # Output to display layer description
)
)
),
tabPanel(
"Demographic Data",
sidebarLayout(
sidebarPanel(
# Dropdown menu to select time series dataset
selectInput("dataset", "Select time series dataset:",
choices = c("Abundance (LCT >120mm)"="Dataset 1",
"Length-frequency"="Dataset 2",
"Dataset 3"),
selected = "Dataset 1"),
# Dropdown menu to select population within the time series
selectInput("Pop_Name_TS", "Select population:",
choices = c("Andorno Creek", "Battle Creek",
"Colman Creek",
"Crowley Creek", "Eightmile Creek",
"Falls Canyon Creek", "Jackson Creek",
"Sage Line and Corral Creeks",
"Threemile Creek",
"Washburn Creek"),
selected = "Andorno Creek"),
# Panel for time series plot
plotOutput("timeSeriesPlot")
),
mainPanel(
# Placeholder for additional content in the main panel
)
)
),
tabPanel(
"Genetic Data",
mainPanel(
fluidRow(
column(width = 10,
dataTableOutput("demoGenTable")))
)
),
tabPanel(
"Climate Data",
sidebarLayout(
sidebarPanel(
# Dropdown menu to select climate dataset
selectInput("climate_dataset", "Select climate dataset:",
choices = c("Average Air Temp (Deg F)"="Climate Dataset 1",
"Snow water equivalent (in) @ Disaster Peak Snotel"="Climate Dataset 2",
"Maximum Air Temp Deg F"="Climate Dataset 3",
"McDermitt Creek Discharge April(cubic meters/sec)"="Climate Dataset 4",
"McDermitt Creek Discharge August(cubic meters/sec)"="Climate Dataset 5",
"Quinn River Discharge April (cubic meters/sec)"="Climate Dataset 6",
"Quinn River Discharge August (cubic meters/sec)"="Climate Dataset 7"),
selected = "Climate Dataset 1")),
# Panel for climate data plot
# plotOutput("climateTimeSeries")
# ),
mainPanel(
plotOutput("climateTimeSeries",height="600px")# Placeholder for additional content in the main panel
)
)
)
)
server<-function(input, output) {
###Genetics table####
# Render the demographic and genetic data table
output$demoGenTable <- renderDataTable({
# Assuming demoGenData is your data frame
datatable(genetics, options = list(scrollX=T,
autoWidth = T,
dom = 't',
paging = F,
ordering = FALSE,
columnDefs =list(
list(width = '150px',
targets = c(1:10)))),
width = "100%",
colnames = c("Population",
"Effective pop size\n(Sample size)",
"Effective pop size\n(Neville 2022)",
"Effective pop size score\n(5-yr review)",
"Genetic diversity (He)",
"Observed Ho",
"Diversity score\n(5-yr review)",
"%LCT Hybridization Status\n(year)",
"%LCT Hybridization Status\n(Peacock data)",
"Hybrid score\n(5-yr review)")
)
})
