ubigen/R/plots.R

179 lines
4.2 KiB
R

#' Create a plot showing an overview over the provided ranking.
#'
#' @param ranked_data The ranking to visualize.
#' @param highlighted_genes Genes that will be marked.
#' @param sample_proportion Proportion of rows to use as the shown sample.
#'
#' @return A `plotly` figure.
#' @noRd
overview_plot <- function(ranked_data,
highlighted_genes = NULL,
sample_proportion = 0.05) {
figure <- plotly::plot_ly() |>
plotly::add_lines(
data = ranked_data[sample(
nrow(ranked_data),
sample_proportion * nrow(ranked_data)
)],
x = ~percentile,
y = ~score,
hoverinfo = "skip"
) |>
plotly::layout(
xaxis = list(
title = "Percentile",
tickformat = ".1%"
),
yaxis = list(title = "Score"),
shapes = list(
vline(0.95),
vline(0.75),
vline(0.50),
vline(0.25),
vline(0.05)
),
annotations = list(
vlineannotation(0.95),
vlineannotation(0.75),
vlineannotation(0.50),
vlineannotation(0.25),
vlineannotation(0.05)
)
)
if (length(highlighted_genes) > 0) {
figure <- figure |>
plotly::add_markers(
data = ranked_data[gene %chin% highlighted_genes],
x = ~percentile,
y = ~score,
text = ~ glue::glue(
"<b>{hgnc_name}</b><br>",
"Score: {round(score, digits = 2)}<br>",
"Rank: {rank}<br>",
"Percentile: {round(percentile * 100, digits = 2)}%"
),
hoverinfo = "text",
showlegend = FALSE
)
}
figure
}
#' Create a plot comparing some genes with the overall ranking.
#'
#' @param ranked_data The ranking to visualize.
#' @param highlighted_genes Genes that will be compared.
#'
#' @return A `plotly` figure.
#' @noRd
box_plot <- function(ranked_data, highlighted_genes) {
data <- data.table::copy(ranked_data)
data[, group := data.table::fifelse(
gene %chin% highlighted_genes,
"Your genes",
"Other genes"
)]
plotly::plot_ly() |>
plotly::add_boxplot(
data = data,
x = ~score,
y = ~group,
boxpoints = FALSE
) |> plotly::layout(
xaxis = list(title = "Score"),
yaxis = list(title = "")
)
}
#' Create plot showing the distribution of scores using `plotly`.
#'
#' @param ranked_data Data on genes with precomputed ranks.
#' @param highlighted_genes Genes that will be marked.
#' @param ranks How may ranks the x-axis should include. If this parameter is
#' `NULL`, all ranks will be shown.
#'
#' @return A `plotly` figure for rendering.
#' @noRd
scores_plot <- function(ranked_data, highlighted_genes = NULL, ranks = 1000) {
data <- if (is.null(ranks)) {
ranked_data
} else {
ranked_data[1:ranks]
}
ranks_label <- if (is.null(ranks)) {
"Ranks"
} else {
glue::glue("Ranks (1 to {ranks})")
}
data[, group := data.table::fifelse(
gene %chin% highlighted_genes,
"Your genes",
"All genes"
)]
plotly::plot_ly() |>
plotly::add_markers(
data = data,
x = ~rank,
y = ~score,
name = ~group,
text = ~ glue::glue(
"<b>{hgnc_name}</b><br>",
"Score: {round(score, digits = 2)}<br>",
"Rank: {rank}<br>",
"Percentile: {round(percentile * 100, digits = 2)}%"
),
hoverinfo = "text",
showlegend = FALSE
) |>
plotly::layout(
xaxis = list(
title = ranks_label,
autorange = "reversed"
),
yaxis = list(title = "Score"),
clickmode = "event+select",
dragmode = "select"
)
}
#' Helper function for creating a vertical line for plotly.
#' @noRd
vline <- function(x) {
list(
type = "line",
y0 = 0,
y1 = 1,
yref = "paper",
x0 = x,
x1 = x,
line = list(
color = "#00000080",
opacity = 0.5,
dash = "dot"
)
)
}
#' Helper function for creating annotations for lines created using [vline()].
#' @noRd
vlineannotation <- function(x) {
list(
text = glue::glue("{round(x * 100)}%"),
showarrow = FALSE,
yref = "paper",
x = x,
y = 1,
xanchor = "left",
xshift = 4,
align = "left",
font = list(
color = "#00000080"
)
)
}