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Add score distribution plot
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3 changed files with 55 additions and 1 deletions
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@ -23,5 +23,6 @@ Imports:
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bslib,
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data.table,
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DT,
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plotly,
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glue,
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shiny
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43
R/server.R
43
R/server.R
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@ -21,9 +21,52 @@ server <- function(input, output) {
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data
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})
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output$scores_plot <- plotly::renderPlotly(scores_plot(ranked_data()))
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output$ranked_data <- DT::renderDataTable(genes_table(ranked_data()))
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}
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#' Create plot showing the distribution of scores using `plotly`.
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#'
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#' @param ranked_data Data on genes with precomputed ranks.
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#' @param ranks How may ranks the x-axis should include. If this parameter is
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#' `NULL`, all ranks will be shown.
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#'
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#' @return A `plotly` figure for rendering.
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#' @noRd
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scores_plot <- function(ranked_data, ranks = 1000) {
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data <- if (is.null(ranks)) {
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ranked_data
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} else {
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ranked_data[1:ranks]
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}
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ranks_label <- if (is.null(ranks)) {
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"Ranks"
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} else {
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glue::glue("Ranks (1 to {ranks})")
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}
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plotly::plot_ly() |>
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plotly::add_markers(
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data = data,
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x = ~rank,
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y = ~score,
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text = ~hgnc_name,
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customdata = ~percentile,
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hovertemplate = paste0(
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"<b>%{text}</b><br>",
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"Rank: %{x}<br>",
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"Score: %{y:.2}<br>",
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"Percentile: %{customdata:.2%}",
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"<extra></extra>"
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)
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) |>
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plotly::layout(
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xaxis = list(title = ranks_label),
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yaxis = list(title = "Score")
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)
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}
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#' Create a displayable data table from the gene results data.
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#' @noRd
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genes_table <- function(data) {
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12
R/ui.R
12
R/ui.R
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@ -41,7 +41,17 @@ ui <- function() {
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),
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mainPanel(
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width = 9,
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DT::dataTableOutput("ranked_data")
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tabsetPanel(
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type = "pills",
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tabPanel(
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title = "Distribution of scores",
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plotly::plotlyOutput("scores_plot")
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),
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tabPanel(
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title = "Detailed results",
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DT::dataTableOutput("ranked_data")
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)
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)
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)
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)
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),
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