From 155794cd76633a17a7ca2ca7e97f31cc4a432e40 Mon Sep 17 00:00:00 2001 From: Olivia Angelin-Bonnet Date: Mon, 16 Sep 2024 09:18:38 +1200 Subject: [PATCH 1/3] Tidying create_hidecan_plot(spaces, typos) --- R/create_hidecan_plot.R | 100 +++++++++++++--------- tests/testthat/test-create_hidecan_plot.R | 55 +++++++++--- 2 files changed, 100 insertions(+), 55 deletions(-) diff --git a/R/create_hidecan_plot.R b/R/create_hidecan_plot.R index 3fbcc7f..4fc9393 100644 --- a/R/create_hidecan_plot.R +++ b/R/create_hidecan_plot.R @@ -107,7 +107,9 @@ create_hidecan_plot <- function(x, label_padding = 0.15){ ## for devtools::check() - position <- dataset <- score <- chromosome <- position_mb <- position_mb_end <- data_type <- name <- log2FoldChange <- upper_limit_mb <- lower_limit_mb <- NULL + position <- dataset <- score <- chromosome <- position_mb <- NULL + position_mb_end <- data_type <- name <- log2FoldChange <- NULL + upper_limit_mb <- lower_limit_mb <- NULL ## Labels, colours and shapes data_type_labels <- c("GWAS_data_thr" = "GWAS peaks", @@ -124,16 +126,23 @@ create_hidecan_plot <- function(x, ## Checking x input - x_types <- purrr::map_chr(x, ~ class(.x)[[1]]) + x_types <- purrr::map_chr(x, \(.x) class(.x)[[1]]) - if(!all(unique(x_types) %in% c("GWAS_data_thr", "DE_data_thr", "CAN_data_thr"))) stop("Expecting a list of 'GWAS_data_thr', 'DE_data_thr' and/or 'CAN_data_thr' objects (see apply_threshold() function).") + if (!all(unique(x_types) %in% c("GWAS_data_thr", "DE_data_thr", "CAN_data_thr"))) { + stop("Expecting a list of 'GWAS_data_thr', 'DE_data_thr' and/or 'CAN_data_thr' objects (see apply_threshold() function).") + } ## Checking chrom_length input - if(length(setdiff(c("chromosome", "length"), names(chrom_length)))) stop("'chrom_length' argument should be a data-frame with columns 'chromosome' ad length.") - if(dplyr::n_distinct(chrom_length$chromosome) != nrow(chrom_length)) stop("Duplicated chromosome names in 'chrom_length' data-frame.") + if (length(setdiff(c("chromosome", "length"), names(chrom_length))) > 0) { + stop("'chrom_length' argument should be a data-frame with columns 'chromosome' and 'length'.") + } + + if (dplyr::n_distinct(chrom_length$chromosome) != nrow(chrom_length)) { + stop("Duplicated chromosome names in 'chrom_length' data-frame.") + } ## Making y labels - if(is.null(names(x))){ + if (is.null(names(x))) { names(x) <- make.unique(data_type_labels[x_types], " - ") } else { names(x) <- paste0(names(x), " - ", data_type_labels[x_types]) @@ -142,36 +151,36 @@ create_hidecan_plot <- function(x, } ## Making sure that only one of n_rows and n_cols is not NULL - if(!is.null(n_rows)) n_cols <- NULL + if (!is.null(n_rows)) n_cols <- NULL datasets_levels <- rev(names(x)) toplot <- x |> - purrr::map_dfr(~ dplyr::mutate(.x, data_type = class(.x)[[1]]), - .id = "dataset") |> - dplyr::mutate(position_mb = position / 1e6, - dataset = factor(dataset, levels = datasets_levels)) + purrr::map(\(.x) dplyr::mutate(.x, data_type = class(.x)[[1]])) |> + purrr::list_rbind(names_to = "dataset") |> + dplyr::mutate( + position_mb = position / 1e6, + dataset = factor(dataset, levels = datasets_levels) + ) - if('score' %in% names(toplot)) toplot <- toplot |> dplyr::arrange(score) + if ('score' %in% names(toplot)) toplot <- toplot |> dplyr::arrange(score) ## chromosomes present in dataset and chrom_length cl_chroms <- unique(chrom_length$chromosome) tp_chroms <- unique(toplot$chromosome) all_chrom <- union(cl_chroms, tp_chroms) - if(is.null(chroms)){ - + if (is.null(chroms)) { chroms <- all_chrom - } else { - wrong_chroms <- setdiff(chroms, all_chrom) - if(length(wrong_chroms)) stop("In 'chroms' argument, the following values are not valid chromosome names: '", - paste0(wrong_chroms, collapse = "', '"), - ". Possible values are: '", - paste0(all_chrom, collapse = "', '"), - ".") - + if (length(wrong_chroms)) { + stop("In 'chroms' argument, the following values are not valid chromosome names: '", + paste0(wrong_chroms, collapse = "', '"), + ". Possible values are: '", + paste0(all_chrom, collapse = "', '"), + ".") + } } ## If want to remove empty chromosomes, look only at the ones that are in toplot @@ -182,7 +191,10 @@ create_hidecan_plot <- function(x, ## but don't want to plot it it's fine), and also after having removed the empty chromosomes if needed ## for the same reason missing_chroms <- setdiff(chroms, cl_chroms) - if(length(missing_chroms)) stop("The following chromosomes are present in the data but missing from 'chrom_length' data-frame: '", paste0(missing_chroms, collapse = "', '"), ".") + if (length(missing_chroms)) { + stop("The following chromosomes are present in the data but missing from 'chrom_length' data-frame: '", + paste0(missing_chroms, collapse = "', '"), ".") + } ## Now filter both toplot and chrom_lenght to only the desired chromosomes toplot <- toplot |> @@ -200,24 +212,30 @@ create_hidecan_plot <- function(x, dplyr::rename(position_mb_end = position_mb) |> dplyr::mutate(position_mb = 0) - if(!is.null(chrom_limits)){ - if(is.numeric(chrom_limits) & length(chrom_limits) == 2){ + if (!is.null(chrom_limits)) { + if (is.numeric(chrom_limits) & length(chrom_limits) == 2) { ## Apply the limits to all chromosomes chrom_limits <- purrr::map(chroms, ~ chrom_limits) |> stats::setNames(chroms) - } else if (is.list(chrom_limits)){ + } else if (is.list(chrom_limits)) { - if(is.null(names(chrom_limits))) stop("The chrom_limits argument should be a named list, with the names corresponding to chromosomes' name.") - if(!all(purrr::map_lgl(chrom_limits, is.numeric)) | !all(purrr::map_lgl(chrom_limits, ~length(.x) == 2))) stop("The chrom_limits argument should be a named list where each element is an integer vector of length 2.") + if (is.null(names(chrom_limits))) { + stop("The chrom_limits argument should be a named list, with the names corresponding to chromosomes' name.") + } + if (!all(purrr::map_lgl(chrom_limits, is.numeric)) | !all(purrr::map_lgl(chrom_limits, ~length(.x) == 2))) { + stop("The chrom_limits argument should be a named list where each element is an integer vector of length 2.") + } bad_chroms <- setdiff(names(chrom_limits), chroms) - if(length(bad_chroms)) stop("In chrom_limits argument: '", - paste0(bad_chroms, collapse = "', '"), - "' are not valid chromosome names. Possible names are: '", - paste0(chroms, collapse = "', '"), - "'.") + if (length(bad_chroms)) { + stop("In chrom_limits argument: '", + paste0(bad_chroms, collapse = "', '"), + "' are not valid chromosome names. Possible names are: '", + paste0(chroms, collapse = "', '"), + "'.") + } chrom_limits <- chrom_limits[intersect(names(chrom_limits), chroms)] } else { @@ -284,7 +302,7 @@ create_hidecan_plot <- function(x, order = 1), shape = ggplot2::guide_legend(order = 1)) - if("CAN_data_thr" %in% x_types){ + if ("CAN_data_thr" %in% x_types) { p <- p + ## Candidate genes labels ggrepel::geom_label_repel(ggplot2::aes(label = name), @@ -299,9 +317,9 @@ create_hidecan_plot <- function(x, size = point_size) } - if("DE_data_thr" %in% x_types){ + if ("DE_data_thr" %in% x_types) { - if(colour_genes_by_score){ + if (colour_genes_by_score) { p <- p + ## DE points @@ -310,7 +328,7 @@ create_hidecan_plot <- function(x, size = point_size) + viridis::scale_fill_viridis("DE gene score", option = "viridis", - guide = ggplot2::guide_colourbar(title.position="top", + guide = ggplot2::guide_colourbar(title.position = "top", title.hjust = 0.5, order = 3)) } else { @@ -324,16 +342,16 @@ create_hidecan_plot <- function(x, low = "darkblue", mid = "white", high = "firebrick", - guide = ggplot2::guide_colourbar(title.position="top", + guide = ggplot2::guide_colourbar(title.position = "top", title.hjust = 0.5, order = 3)) } } - if("GWAS_data_thr" %in% x_types){ + if ("GWAS_data_thr" %in% x_types) { - if("DE_data_thr" %in% x_types) p <- p + ggnewscale::new_scale_fill() + if ("DE_data_thr" %in% x_types) p <- p + ggnewscale::new_scale_fill() p <- p + ## GWAS points @@ -342,7 +360,7 @@ create_hidecan_plot <- function(x, size = point_size) + viridis::scale_fill_viridis("GWAS marker score", option = "plasma", - guide = ggplot2::guide_colourbar(title.position="top", + guide = ggplot2::guide_colourbar(title.position = "top", title.hjust = 0.5, order = 2)) } diff --git a/tests/testthat/test-create_hidecan_plot.R b/tests/testthat/test-create_hidecan_plot.R index 882a35c..f20e58e 100644 --- a/tests/testthat/test-create_hidecan_plot.R +++ b/tests/testthat/test-create_hidecan_plot.R @@ -16,19 +16,31 @@ test_that("create_hidecan_plot works", { chrom_length <- combine_chrom_length(list(gwas_res, de_res, can_res)) - expect_error(create_hidecan_plot(list(LETTERS[1:5]), - "Expecting a list of 'GWAS_data_thr', 'DE_data_thr' and/or 'CAN_data_thr' objects (see apply_threshold() function).")) + expect_error( + create_hidecan_plot(list(LETTERS[1:5]), chrom_length), + "Expecting a list of 'GWAS_data_thr', 'DE_data_thr' and/or 'CAN_data_thr' objects (see apply_threshold() function).", + fixed = TRUE + ) - expect_error(create_hidecan_plot(x, chrom_length), NA) - expect_error(create_hidecan_plot(x, chrom_length, remove_empty_chrom = TRUE), NA) + expect_no_error(create_hidecan_plot(x, chrom_length)) + expect_no_error(create_hidecan_plot(x, chrom_length, remove_empty_chrom = TRUE)) p <- create_hidecan_plot(x, chrom_length) expect_s3_class(p, "ggplot") ## Checking problems with chrom_length - expect_error(create_hidecan_plot(x, dplyr::rename(chrom_length, chrom = chromosome)), "'chrom_length' argument should be a data-frame with columns 'chromosome' ad length.") - expect_error(create_hidecan_plot(x, dplyr::bind_rows(chrom_length, chrom_length[1, ])), "Duplicated chromosome names in 'chrom_length' data-frame.") - expect_error(create_hidecan_plot(x, chrom_length[-1, ]), "The following chromosomes are present in the data but missing from 'chrom_length' data-frame: '.+") + expect_error( + create_hidecan_plot(x, dplyr::rename(chrom_length, chrom = chromosome)), + "'chrom_length' argument should be a data-frame with columns 'chromosome' and 'length'." + ) + expect_error( + create_hidecan_plot(x, dplyr::bind_rows(chrom_length, chrom_length[1, ])), + "Duplicated chromosome names in 'chrom_length' data-frame." + ) + expect_error( + create_hidecan_plot(x, chrom_length[-1, ]), + "The following chromosomes are present in the data but missing from 'chrom_length' data-frame: '.+" + ) ## Checking names on y-axis expect_equal(p$data[["dataset"]] |> @@ -59,13 +71,28 @@ test_that("create_hidecan_plot works", { factor(levels = c("GWAS 1 - GWAS peaks, 1", "DE genes", "GWAS 1 - GWAS peaks"))) ## Checking chrom_limits arguments - expect_error(create_hidecan_plot(x, chrom_length, chrom_limits = "TEST"), "The chrom_limits argument should either be an integer vector of length 2 or a named list where each element is an integer vector of length 2.") - expect_error(create_hidecan_plot(x, chrom_length, chrom_limits = c(3e6, 5e6)), NA) - expect_error(create_hidecan_plot(x, chrom_length, chrom_limits = list(c(3e6, 5e6))), "The chrom_limits argument should be a named list, with the names corresponding to chromosomes' name.") - expect_error(create_hidecan_plot(x, chrom_length, chrom_limits = list("TEST" = c(3e6, 5e6))), "In chrom_limits argument: 'TEST' are not valid chromosome names. Possible names are: '.+") - expect_error(create_hidecan_plot(x, chrom_length, chrom_limits = list("ST4.03ch06" = c(3e6, 5e6))), NA) - expect_error(create_hidecan_plot(x, chrom_length, chrom_limits = list("ST4.03ch06" = c(3e6, 5e6, 5e6))), "The chrom_limits argument should be a named list where each element is an integer vector of length 2.") - expect_error(create_hidecan_plot(x, chrom_length, chrom_limits = list("ST4.03ch06" = c("a", "B"))), "The chrom_limits argument should be a named list where each element is an integer vector of length 2.") + expect_error( + create_hidecan_plot(x, chrom_length, chrom_limits = "TEST"), + "The chrom_limits argument should either be an integer vector of length 2 or a named list where each element is an integer vector of length 2." + ) + expect_no_error(create_hidecan_plot(x, chrom_length, chrom_limits = c(3e6, 5e6))) + expect_error( + create_hidecan_plot(x, chrom_length, chrom_limits = list(c(3e6, 5e6))), + "The chrom_limits argument should be a named list, with the names corresponding to chromosomes' name." + ) + expect_error( + create_hidecan_plot(x, chrom_length, chrom_limits = list("TEST" = c(3e6, 5e6))), + "In chrom_limits argument: 'TEST' are not valid chromosome names. Possible names are: '.+" + ) + expect_no_error(create_hidecan_plot(x, chrom_length, chrom_limits = list("ST4.03ch06" = c(3e6, 5e6)))) + expect_error( + create_hidecan_plot(x, chrom_length, chrom_limits = list("ST4.03ch06" = c(3e6, 5e6, 5e6))), + "The chrom_limits argument should be a named list where each element is an integer vector of length 2." + ) + expect_error( + create_hidecan_plot(x, chrom_length, chrom_limits = list("ST4.03ch06" = c("a", "B"))), + "The chrom_limits argument should be a named list where each element is an integer vector of length 2." + ) p <- create_hidecan_plot(x, chrom_length, chrom_limits = c(3e6, 5e6)) cl_df <- get_chrom_limits_plot(p) From 267b6b0e84b7a7a4a635cac6b2ec3a90e28b01a2 Mon Sep 17 00:00:00 2001 From: Olivia Angelin-Bonnet Date: Wed, 18 Sep 2024 08:19:40 +1200 Subject: [PATCH 2/3] Added custom track option --- NAMESPACE | 5 + NEWS.md | 9 + R/apply_threshold.R | 22 +- R/compute_chromosomes_length.R | 40 +- R/create_hidecan_plot.R | 615 ++++++++++++------ R/input_data_constructors.R | 62 ++ man/CUSTOM_data.Rd | 35 + man/apply_threshold.Rd | 11 +- man/combine_chrom_length.Rd | 2 +- man/compute_chrom_length.Rd | 5 +- man/create_hidecan_plot.Rd | 15 +- man/dot-add_data_type.Rd | 43 ++ man/dot-check_chrom_limits.Rd | 27 + man/dot-check_chroms.Rd | 26 + man/dot-compute_chrom_length_markers.Rd | 19 + man/dot-get_aes_type.Rd | 18 + man/dot-get_plot_aes.Rd | 24 + man/hidecan_aes.Rd | 28 + man/hidecan_plot.Rd | 38 +- man/new_CUSTOM_data.Rd | 18 + man/validate_CUSTOM_data.Rd | 17 + .../testthat/data-test/test_gwaspoly_res.rda | Bin 313814 -> 0 bytes .../data-test/test_gwaspoly_res_thr.rda | Bin 313863 -> 0 bytes tests/testthat/data-test/test_input.rda | Bin 73072 -> 0 bytes .../testthat/fixtures}/datasets_for_tests.R | 20 +- tests/testthat/fixtures/test_can.rds | Bin 0 -> 1436 bytes tests/testthat/fixtures/test_custom.rds | Bin 0 -> 19918 bytes tests/testthat/fixtures/test_de.rds | Bin 0 -> 52531 bytes tests/testthat/fixtures/test_gwas.rds | Bin 0 -> 22140 bytes tests/testthat/fixtures/test_gwaspoly_res.rds | Bin 0 -> 313801 bytes .../fixtures/test_gwaspoly_res_thr.rds | Bin 0 -> 313857 bytes tests/testthat/helper.R | 29 + tests/testthat/test-apply_threshold.R | 30 +- .../test-compute_chromosomes_length.R | 27 +- tests/testthat/test-create_hidecan_plot.R | 59 +- .../testthat/test-gwaspoly_helper_functions.R | 4 +- tests/testthat/test-input_data_constructors.R | 52 ++ 37 files changed, 1038 insertions(+), 262 deletions(-) create mode 100644 man/CUSTOM_data.Rd create mode 100644 man/dot-add_data_type.Rd create mode 100644 man/dot-check_chrom_limits.Rd create mode 100644 man/dot-check_chroms.Rd create mode 100644 man/dot-compute_chrom_length_markers.Rd create mode 100644 man/dot-get_aes_type.Rd create mode 100644 man/dot-get_plot_aes.Rd create mode 100644 man/hidecan_aes.Rd create mode 100644 man/new_CUSTOM_data.Rd create mode 100644 man/validate_CUSTOM_data.Rd delete mode 100644 tests/testthat/data-test/test_gwaspoly_res.rda delete mode 100644 tests/testthat/data-test/test_gwaspoly_res_thr.rda delete mode 100644 tests/testthat/data-test/test_input.rda rename {data-raw => tests/testthat/fixtures}/datasets_for_tests.R (61%) create mode 100644 tests/testthat/fixtures/test_can.rds create mode 100644 tests/testthat/fixtures/test_custom.rds create mode 100644 tests/testthat/fixtures/test_de.rds create mode 100644 tests/testthat/fixtures/test_gwas.rds create mode 100644 tests/testthat/fixtures/test_gwaspoly_res.rds create mode 100644 tests/testthat/fixtures/test_gwaspoly_res_thr.rds create mode 100644 tests/testthat/helper.R diff --git a/NAMESPACE b/NAMESPACE index 1ab5081..8b5db47 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,14 +1,18 @@ # Generated by roxygen2: do not edit by hand S3method(apply_threshold,CAN_data) +S3method(apply_threshold,CUSTOM_data) S3method(apply_threshold,DE_data) S3method(apply_threshold,GWAS_data) S3method(apply_threshold,default) S3method(compute_chrom_length,CAN_data) +S3method(compute_chrom_length,CUSTOM_data) S3method(compute_chrom_length,DE_data) S3method(compute_chrom_length,GWAS_data) export(.compute_chrom_length_genes) +export(.compute_chrom_length_markers) export(CAN_data) +export(CUSTOM_data) export(DE_data) export(GWAS_data) export(GWAS_data_from_gwaspoly) @@ -17,6 +21,7 @@ export(combine_chrom_length) export(compute_chrom_length) export(create_hidecan_plot) export(get_example_data) +export(hidecan_aes) export(hidecan_plot) export(hidecan_plot_from_gwaspoly) export(manhattan_plot) diff --git a/NEWS.md b/NEWS.md index 8d31df8..0f07f2b 100644 --- a/NEWS.md +++ b/NEWS.md @@ -4,6 +4,15 @@ * Fixed bug where specifying chromosome limits for `hidecan_plot_from_gwaspoly()` would mess up the ordering of the chromosomes in the plot. +### Changes to enable custom tracks + +* New S3 classes to store custom genomic features: `CUSTOM_data` and `CUSTOM_data_thr`. + +* `create_hidecan_plot()` now accepts `CUSTOM_data_thr` objects as input, which allows users to add custom tracks to their plot. It has an additional argument `custom_aes` to handle the aesthetics for custom tracks. + +* Added the `hidecan_aes()` function which returns the default aesthetics for the different types of data in the plot. + + # hidecan 1.1.0 * Removed `get_gwaspoly_example_data()` function so that the package doesn't depend on GWASpoly (for CRAN submission) diff --git a/R/apply_threshold.R b/R/apply_threshold.R index 3ec4a44..f8c7509 100644 --- a/R/apply_threshold.R +++ b/R/apply_threshold.R @@ -5,16 +5,16 @@ #' candidate genes, simply returns the list. Note that markers or genes with #' a missing score or log2(fold-change) will be removed from the dataset. #' -#' @param x Either a `GWAS_data`, `DE_data` or `CAN_data` object. +#' @param x Either a `GWAS_data`, `DE_data`, `CAN_data` or `CUSTOM_data` object. #' @param score_thr Numeric, threshold to use on markers' or genes/transcripts' score. #' Only markers or genes with a score equal to or higher than this threshold #' will be retained. Default value is 0. Ignored for `CAN_data`. #' @param log2fc_thr Numeric, threshold to use on the absolute value of genes/ #' transcripts' log2(fold-change). Only genes/transcripts with an absolute #' log2(fold-change) equal to or higher than this threshold will be retained. -#' Ignored for `GWAS_data` and `CAN_data`. -#' @returns A filtered tibble (of class `GWAS_data_thr`, `DE_data_thr` or -#' `CAN_data_thr`). +#' Ignored for `GWAS_data`, `CAN_data` and `CUSTOM_data`. +#' @returns A filtered tibble (of class `GWAS_data_thr`, `DE_data_thr`, +#' `CAN_data_thr` or `CUSTOM_data_thr`). #' @examples #' x <- get_example_data() #' @@ -73,6 +73,20 @@ apply_threshold.CAN_data <- function(x, score_thr = 0, log2fc_thr = 0){ return(res) } +#' @rdname apply_threshold +#' @export +apply_threshold.CUSTOM_data <- function(x, score_thr = 0, log2fc_thr = 0){ + + score <- NULL + + res <- x |> + dplyr::filter(score >= score_thr) + + class(res)[1] <- "CUSTOM_data_thr" + + return(res) +} + #' @rdname apply_threshold #' @export apply_threshold.default <- function(x, score_thr = 0, log2fc_thr = 0){ diff --git a/R/compute_chromosomes_length.R b/R/compute_chromosomes_length.R index a1babf8..7fe2df0 100644 --- a/R/compute_chromosomes_length.R +++ b/R/compute_chromosomes_length.R @@ -3,7 +3,7 @@ #' Computes the length (in bp) of each chromosome as the maximum #' position of markers or genes on the chromosome. #' -#' @param x Either a `GWAS_data`, `DE_data` or `CAN_data` object. +#' @param x Either a `GWAS_data`, `DE_data`, `CAN_data` or `CUSTOM_data` object. #' @returns A tibble with two columns: `chromosome` (chromosome name) and #' `length` (chromosome length in base pair). #' @examples @@ -20,30 +20,44 @@ compute_chrom_length <- function(x){ #' @rdname compute_chrom_length #' @export compute_chrom_length.GWAS_data <- function(x){ - - chromosome <- position <- NULL - - x |> - dplyr::group_by(chromosome) |> - dplyr::summarise(length = max(position), - .groups = "drop") - + .compute_chrom_length_markers(x) } #' @rdname compute_chrom_length #' @export compute_chrom_length.DE_data <- function(x){ - .compute_chrom_length_genes(x) - } #' @rdname compute_chrom_length #' @export compute_chrom_length.CAN_data <- function(x){ - .compute_chrom_length_genes(x) +} +#' @rdname compute_chrom_length +#' @export +compute_chrom_length.CUSTOM_data <- function(x){ + .compute_chrom_length_markers(x) +} + +#' Computes chromosomes' length for a tibble of markers +#' +#' Computes the length (in bp) of each chromosome as the maximum +#' position of chromosomes on the chromosome. +#' +#' @param x Either a `GWAS_data` or `CUSTOM_data` object. +#' @returns A tibble with two columns: `chromosome` (chromosome name) and +#' `length` (chromosome length in base pair). +#' @export +.compute_chrom_length_markers <- function(x){ + + chromosome <- position <- NULL + + x |> + dplyr::group_by(chromosome) |> + dplyr::summarise(length = max(position), + .groups = "drop") } #' Computes chromosomes' length for a tibble of genes @@ -73,7 +87,7 @@ compute_chrom_length.CAN_data <- function(x){ #' Computes the length (in bp) of each chromosome from a list of GWAS and #' DE results as well as candidate gene lists. #' -#' @param x A list of `GWAS_data`, `DE_data` or `CAN_data` objects. +#' @param x A list of `GWAS_data`, `DE_data`, `CAN_data` or `CUSTOM_data` objects. #' @returns A tibble with two columns: `chromosome` (chromosome name) and #' `length` (chromosome length in base pair). #' @examples diff --git a/R/create_hidecan_plot.R b/R/create_hidecan_plot.R index 4fc9393..c2e0256 100644 --- a/R/create_hidecan_plot.R +++ b/R/create_hidecan_plot.R @@ -3,9 +3,10 @@ #' Creates a HIDECAN plot from a list of filtered GWAS or DE results #' and/or candidate genes. #' -#' @param x A list of `GWAS_data_thr`, `DE_data_thr` and/or `CAN_data_thr` -#' produced by the \code{\link{apply_threshold}()} function. If named, the names -#' will be appended to the y-axis labels (use `' '` as empty name in the list). +#' @param x A list of `GWAS_data_thr`, `DE_data_thr`, `CAN_data_thr` and/or +#' `CUSTOM_data_thr` produced by the \code{\link{apply_threshold}()} function. +#' If named, the names will be appended to the y-axis labels (use `' '` as +#' empty name in the list). #' @param chrom_length Tibble with columns `chromosome` and `length`, giving #' for each chromosome its length in bp (see \code{\link{combine_chrom_length}()} #' function). @@ -39,6 +40,10 @@ #' @param label_padding Numeric, amount of padding around gene labels in the plot, #' as unit or number. Default value is 0.15 #' (for \link[ggrepel]{geom_label_repel}). +#' @param custom_aes Named list of plot aesthetics for custom data types. See +#' [hidecan_aes()] for information about the content of each element. Default +#' is `NULL` (only needed if there are `CUSTOM_data_thr` objects in `x` or to +#' customise the aesthetics for the default data tracks). #' @returns A `ggplot`. #' @examples #' if (interactive()) { @@ -104,32 +109,22 @@ create_hidecan_plot <- function(x, legend_position = "bottom", point_size = 3, label_size = 3.5, - label_padding = 0.15){ + label_padding = 0.15, + custom_aes = NULL){ ## for devtools::check() position <- dataset <- score <- chromosome <- position_mb <- NULL position_mb_end <- data_type <- name <- log2FoldChange <- NULL upper_limit_mb <- lower_limit_mb <- NULL - ## Labels, colours and shapes - data_type_labels <- c("GWAS_data_thr" = "GWAS peaks", - "DE_data_thr" = "DE genes", - "CAN_data_thr" = "Candidate genes") - - data_type_colours <- c("GWAS_data_thr" = "red", - "DE_data_thr" = "darkcyan", - "CAN_data_thr" = "grey30") - - data_type_shapes <- c("GWAS_data_thr" = 21, - "DE_data_thr" = 23, - "CAN_data_thr" = 4) - - ## Checking x input x_types <- purrr::map_chr(x, \(.x) class(.x)[[1]]) - if (!all(unique(x_types) %in% c("GWAS_data_thr", "DE_data_thr", "CAN_data_thr"))) { - stop("Expecting a list of 'GWAS_data_thr', 'DE_data_thr' and/or 'CAN_data_thr' objects (see apply_threshold() function).") + accepted_types <- c("GWAS_data_thr", "DE_data_thr", + "CAN_data_thr", "CUSTOM_data_thr") + if (!all(unique(x_types) %in% accepted_types)) { + stop("Expecting a list of 'GWAS_data_thr', 'DE_data_thr', 'CAN_data_thr' ", + "and/or 'CUSTOM_data_thr' objects (see apply_threshold() function).") } ## Checking chrom_length input @@ -141,60 +136,52 @@ create_hidecan_plot <- function(x, stop("Duplicated chromosome names in 'chrom_length' data-frame.") } + aes_types <- purrr::map_chr(x, .get_aes_type) + + ## Get aesthetics for the plots (line colours, point shape, etc) for each + ## data type + plot_aes <- .get_plot_aes(aes_types, colour_genes_by_score, custom_aes) + + data_type_labels <- purrr::map_chr(plot_aes, \(x) purrr::pluck(x, "y_label")) + data_type_colours <- purrr::map_chr(plot_aes, \(x) purrr::pluck(x, "line_colour")) + data_type_shapes <- purrr::map_int(plot_aes, \(x) purrr::pluck(x, "point_shape")) + ## Making y labels if (is.null(names(x))) { - names(x) <- make.unique(data_type_labels[x_types], " - ") + names(x) <- make.unique(data_type_labels[aes_types], " - ") } else { - names(x) <- paste0(names(x), " - ", data_type_labels[x_types]) - names(x) <- sub("^ - ", "", names(x)) + names(x) <- paste0(names(x), " - ", data_type_labels[aes_types]) + names(x) <- sub("^ +- ", "", names(x)) names(x) <- make.unique(names(x), ", ") } + datasets_levels <- rev(names(x)) + ## Making sure that only one of n_rows and n_cols is not NULL if (!is.null(n_rows)) n_cols <- NULL - datasets_levels <- rev(names(x)) - + ## Constructing main tibble for plot toplot <- x |> - purrr::map(\(.x) dplyr::mutate(.x, data_type = class(.x)[[1]])) |> + purrr::map(\(.x) dplyr::mutate(.x, data_type = .get_aes_type(.x))) |> purrr::list_rbind(names_to = "dataset") |> dplyr::mutate( position_mb = position / 1e6, dataset = factor(dataset, levels = datasets_levels) ) - if ('score' %in% names(toplot)) toplot <- toplot |> dplyr::arrange(score) - - ## chromosomes present in dataset and chrom_length - cl_chroms <- unique(chrom_length$chromosome) - tp_chroms <- unique(toplot$chromosome) - all_chrom <- union(cl_chroms, tp_chroms) - - if (is.null(chroms)) { - chroms <- all_chrom - } else { - wrong_chroms <- setdiff(chroms, all_chrom) - if (length(wrong_chroms)) { - stop("In 'chroms' argument, the following values are not valid chromosome names: '", - paste0(wrong_chroms, collapse = "', '"), - ". Possible values are: '", - paste0(all_chrom, collapse = "', '"), - ".") - } + if (!colour_genes_by_score) { + toplot <- toplot |> + dplyr::mutate( + score = dplyr::case_when( + data_type == "DE_data_thr" ~ log2FoldChange, + TRUE ~ score + ) + ) } - ## If want to remove empty chromosomes, look only at the ones that are in toplot - if(remove_empty_chrom) chroms <- intersect(chroms, tp_chroms) + if ('score' %in% names(toplot)) toplot <- toplot |> dplyr::arrange(score) - ## checking whether some chromosomes in toplot are missing from chrom_length - ## check happens after selecting the specified chromosomes (so then if we don't have info about a chromosome - ## but don't want to plot it it's fine), and also after having removed the empty chromosomes if needed - ## for the same reason - missing_chroms <- setdiff(chroms, cl_chroms) - if (length(missing_chroms)) { - stop("The following chromosomes are present in the data but missing from 'chrom_length' data-frame: '", - paste0(missing_chroms, collapse = "', '"), ".") - } + chroms <- .check_chroms(toplot, chrom_length, chroms, remove_empty_chrom) ## Now filter both toplot and chrom_lenght to only the desired chromosomes toplot <- toplot |> @@ -212,53 +199,9 @@ create_hidecan_plot <- function(x, dplyr::rename(position_mb_end = position_mb) |> dplyr::mutate(position_mb = 0) + ## Handling chromosome limits if (!is.null(chrom_limits)) { - if (is.numeric(chrom_limits) & length(chrom_limits) == 2) { - - ## Apply the limits to all chromosomes - chrom_limits <- purrr::map(chroms, ~ chrom_limits) |> - stats::setNames(chroms) - - } else if (is.list(chrom_limits)) { - - if (is.null(names(chrom_limits))) { - stop("The chrom_limits argument should be a named list, with the names corresponding to chromosomes' name.") - } - if (!all(purrr::map_lgl(chrom_limits, is.numeric)) | !all(purrr::map_lgl(chrom_limits, ~length(.x) == 2))) { - stop("The chrom_limits argument should be a named list where each element is an integer vector of length 2.") - } - - bad_chroms <- setdiff(names(chrom_limits), chroms) - if (length(bad_chroms)) { - stop("In chrom_limits argument: '", - paste0(bad_chroms, collapse = "', '"), - "' are not valid chromosome names. Possible names are: '", - paste0(chroms, collapse = "', '"), - "'.") - } - chrom_limits <- chrom_limits[intersect(names(chrom_limits), chroms)] - - } else { - stop("The chrom_limits argument should either be an integer vector of length 2 or a named list where each element is an integer vector of length 2.") - } - - chrom_limits_df <- chrom_length |> - dplyr::left_join( - purrr::map_dfr( - chrom_limits, - ~ tibble::tibble(lower_limit_mb = .x[[1]], - upper_limit_mb = .x[[2]]), - .id = "chromosome" - ) |> - dplyr::mutate(chromosome = factor(chromosome, levels = chroms)), - by = "chromosome" - ) |> - tidyr::replace_na(list(lower_limit_mb = 0)) |> - dplyr::mutate(upper_limit_mb = dplyr::coalesce(upper_limit_mb, length), - upper_limit_mb = purrr::map2_dbl(length, upper_limit_mb, ~ min(c(.x, .y))), - lower_limit_mb = lower_limit_mb / 1e6, - upper_limit_mb = upper_limit_mb / 1e6) |> - dplyr::select(-length) + chrom_limits_df <- .check_chrom_limits(chrom_limits, chrom_length, chroms) toplot <- toplot |> dplyr::left_join(chrom_limits_df, by = "chromosome") |> @@ -270,17 +213,11 @@ create_hidecan_plot <- function(x, dplyr::mutate(position_mb = lower_limit_mb, position_mb_end = upper_limit_mb) |> dplyr::select(-lower_limit_mb, -upper_limit_mb) - } ## Making sure that the order of the "Position of" legends matches the order ## in which the different data types appear in the y-axis - unique_data_types <- toplot |> - dplyr::select(dataset, data_type) |> - dplyr::distinct() |> - dplyr::arrange(dplyr::desc(dataset)) |> - dplyr::pull(data_type) |> - unique() + unique_data_types <- unique(aes_types) p <- toplot |> ggplot2::ggplot(ggplot2::aes(x = position_mb, y = dataset)) + @@ -293,76 +230,32 @@ create_hidecan_plot <- function(x, alpha = 0.7) + ## General colours and shapes ggplot2::scale_colour_manual(values = data_type_colours[unique_data_types], - labels = data_type_labels[unique_data_types]) + + labels = data_type_labels[unique_data_types], + breaks = unique_data_types) + ggplot2::scale_shape_manual(values = data_type_shapes[unique_data_types], - labels = data_type_labels[unique_data_types]) + + labels = data_type_labels[unique_data_types], + breaks = unique_data_types) + ggplot2::guides(colour = ggplot2::guide_legend(title.position = "top", title.hjust = 0.5, override.aes = list(alpha = 1), order = 1), shape = ggplot2::guide_legend(order = 1)) - if ("CAN_data_thr" %in% x_types) { - p <- p + - ## Candidate genes labels - ggrepel::geom_label_repel(ggplot2::aes(label = name), - nudge_y = 0.5, - na.rm = TRUE, - size = label_size, - label.padding = label_padding, - alpha = 0.5) + - ## Candidate points - ggplot2::geom_point(data = dplyr::filter(toplot, data_type == "CAN_data_thr"), - mapping = ggplot2::aes(shape = data_type), - size = point_size) - } - - if ("DE_data_thr" %in% x_types) { - - if (colour_genes_by_score) { - - p <- p + - ## DE points - ggplot2::geom_point(data = dplyr::filter(toplot, data_type == "DE_data_thr"), - mapping = ggplot2::aes(shape = data_type, fill = score), - size = point_size) + - viridis::scale_fill_viridis("DE gene score", - option = "viridis", - guide = ggplot2::guide_colourbar(title.position = "top", - title.hjust = 0.5, - order = 3)) - } else { - - p <- p + - ## DE points - ggplot2::geom_point(data = dplyr::filter(toplot, data_type == "DE_data_thr"), - mapping = ggplot2::aes(shape = data_type, fill = log2FoldChange), - size = point_size) + - ggplot2::scale_fill_gradient2("DE gene log2(fold-change)", - low = "darkblue", - mid = "white", - high = "firebrick", - guide = ggplot2::guide_colourbar(title.position = "top", - title.hjust = 0.5, - order = 3)) - } - - } - - if ("GWAS_data_thr" %in% x_types) { - - if ("DE_data_thr" %in% x_types) p <- p + ggnewscale::new_scale_fill() - - p <- p + - ## GWAS points - ggplot2::geom_point(data = dplyr::filter(toplot, data_type == "GWAS_data_thr"), - mapping = ggplot2::aes(shape = data_type, fill = score), - size = point_size) + - viridis::scale_fill_viridis("GWAS marker score", - option = "plasma", - guide = ggplot2::guide_colourbar(title.position = "top", - title.hjust = 0.5, - order = 2)) + ## Check whether we need to add a new fill legend for each data type + new_legend <- !(unique_data_types %in% c(unique_data_types[[1]], "CAN_data_thr")) + names(new_legend) <- unique_data_types + + for (i in unique_data_types) { + p <- .add_data_type( + p, + toplot, + i, + paes = plot_aes[[i]], + add_new_legend = new_legend[[i]], + point_size, + label_size, + label_padding + ) } p + @@ -381,32 +274,37 @@ create_hidecan_plot <- function(x, } - #' Wrapper to create a HIDECAN plot #' -#' Wrapper function to create a HIDECAN plot from GWAS results, -#' DE results or candidate genes. +#' Wrapper function to create a HIDECAN plot from GWAS results, DE results or +#' candidate genes. #' #' @param gwas_list Data-frame or list of data-frames containing GWAS results, -#' each with at least a `chromosome`, `position` and either `padj` or `score` -#' columns. If a named list, the names will be used in the plot. -#' @param de_list Data-frame or list of data-frames containing DE results, -#' each with at least a `chromosome`, `start`, `end`, `log2FoldChange` and -#' either `padj` or `score` columns. If a named list, the names will be used in -#' the plot. +#' each with at least a `chromosome`, `position` and either `padj` or `score` +#' columns. If a named list, the names will be used in the plot. +#' @param de_list Data-frame or list of data-frames containing DE results, each +#' with at least a `chromosome`, `start`, `end`, `log2FoldChange` and either +#' `padj` or `score` columns. If a named list, the names will be used in the +#' plot. #' @param can_list Data-frame or list of data-frames containing candidate genes, -#' each with at least a `chromosome`, `start`, `end` and `name` columns. If a -#' named list, the names will be used in the plot. -#' @param score_thr_gwas Numeric, the score threshold for GWAS results that will be used to -#' select which markers will be plotted. Default value is 4. -#' @param score_thr_de Numeric, the score threshold for DE results that will be used to -#' select which markers will be plotted. Default value is 2. +#' each with at least a `chromosome`, `start`, `end` and `name` columns. If a +#' named list, the names will be used in the plot. +#' @param score_thr_gwas Numeric, the score threshold for GWAS results that will +#' be used to select which markers will be plotted. Default value is 4. +#' @param score_thr_de Numeric, the score threshold for DE results that will be +#' used to select which markers will be plotted. Default value is 2. #' @param log2fc_thr Numeric, the log2(fold-change) threshold that will be used -#' to select which genes will be plotted. Default value is 1. +#' to select which genes will be plotted. Default value is 1. #' @param chrom_length Optional, tibble with columns `chromosome` and `length`, -#' giving for each chromosome its length in bp. If `NULL` (the default), will -#' be inferred from the GWAS, DE and candidate gene data. +#' giving for each chromosome its length in bp. If `NULL` (the default), will +#' be inferred from the GWAS, DE and candidate gene data. #' @inheritParams create_hidecan_plot +#' @param custom_list Data-frame or list of data-frames containing custom +#' genomic features, each with at least a `chromosome`, `position` and `score` +#' columns. If a named list, the names will be used in the plot. +#' @param score_thr_custom Numeric, the score threshold for custom genomic +#' features that will be used to select which markers will be plotted. Default +#' value is 0. #' @returns a `ggplot`. #' @examples #' if (interactive()) { @@ -472,16 +370,31 @@ hidecan_plot <- function(gwas_list = NULL, legend_position = "bottom", point_size = 3, label_size = 3.5, - label_padding = 0.15 + label_padding = 0.15, + custom_aes = NULL, + custom_list = NULL, + score_thr_custom = 0 ){ ## Input should either be NULL, a data-frame or a list - if(!all(purrr::map_lgl(list(gwas_list, de_list, can_list), ~ (is.list(.x) | is.null(.x))))) stop("Arguments 'gwas_list', 'de_list' or 'can_list' should either be a data-frame or a list, or NULL.") + list_or_null <- list(gwas_list, de_list, can_list) |> + purrr::map_lgl(\(.x) (is.list(.x) | is.null(.x))) + + if (!all(list_or_null)) { + stop("Arguments 'gwas_list', 'de_list' or 'can_list' should either be a data-frame or a list, or NULL.") + } + + ## Separate error message for custom input because don't want to confuse + ## people using it with only intended data types + if (!(is.list(custom_list) | is.null(custom_list))) { + stop("Argument 'custom_list' should either be a data-frame or a list, or NULL.") + } ## If providing a single data-frame, turn into a list - if(is.data.frame(gwas_list)) gwas_list <- list(gwas_list) - if(is.data.frame(de_list)) de_list <- list(de_list) - if(is.data.frame(can_list)) can_list <- list(can_list) + if (is.data.frame(gwas_list)) gwas_list <- list(gwas_list) + if (is.data.frame(de_list)) de_list <- list(de_list) + if (is.data.frame(can_list)) can_list <- list(can_list) + if (is.data.frame(custom_list)) custom_list <- list(custom_list) ## create the input tibbles from ordinary matrices or data-frames error_func <- function(arg){ @@ -502,9 +415,15 @@ hidecan_plot <- function(gwas_list = NULL, can_list <- can_list |> purrr::map(~ tryCatch(CAN_data(.x), error = eval(error_func("can_list")))) - x <- c(gwas_list, de_list, can_list) + custom_list <- custom_list |> + purrr::map(~ tryCatch(CUSTOM_data(.x), error = eval(error_func("custom_list")))) + + x <- c(gwas_list, de_list, can_list, custom_list) - if(!length(x)) stop("Should provide at least one non-empty list for 'gwas_list', 'de_list' or 'can_list' argument.") + if(length(x) == 0) { + stop("Should provide at least one non-empty list for 'gwas_list', 'de_list',", + " 'can_list' or 'custom_list' argument.") + } ## if not provided, compute the chromosome length if(is.null(chrom_length)){ @@ -521,9 +440,16 @@ hidecan_plot <- function(gwas_list = NULL, if(length(log2fc_thr) != 1) stop("'log2fc_thr' argument should be a single numeric value.") if(!is.numeric(log2fc_thr)) stop("'log2fc_thr' argument should be a numeric value.") + if(length(score_thr_custom) != 1) stop("'score_thr_custom' argument should be a single numeric value.") + if(!is.numeric(score_thr_custom)) stop("'score_thr_custom' argument should be a numeric value.") ## Apply threshold to datasets - score_thr <- c("GWAS_data" = score_thr_gwas, "DE_data" = score_thr_de, "CAN_data" = 0) + score_thr <- c( + "GWAS_data" = score_thr_gwas, + "DE_data" = score_thr_de, + "CAN_data" = 0, + "CUSTOM_data" = score_thr_custom + ) x <- purrr::map2( x, @@ -545,9 +471,302 @@ hidecan_plot <- function(gwas_list = NULL, legend_position, point_size, label_size, - label_padding) + label_padding, + custom_aes) +} + + +#' Default aesthetics for HIDECAN plot +#' +#' Generates a list of the default aesthetics used for HIDECAN plots. +#' +#' @param colour_genes_by_score Logical, whether to colour the genes by score +#' (`TRUE`) or by log2(fold-change) (`FALSE`). Default value is `TRUE`. +#' @returns A named list, with one element per type of data (e.g. GWAS, DE, etc). +#' Each element is itself a list with the following elements: +#' * `y_label`: prefix added to the name of a track on the y-axis of the plot. +#' * `line_colour`: colour of the vertical line used to show the position of +#' elements of this type. +#' * `point_shape`: shape used for the points of this type. +#' * `show_name`: whether a label with `name` value should be added to points of +#' this type. +#' * `fill_scale`: fill scale to use for the points of this type. +#' @export +hidecan_aes <- function(colour_genes_by_score = TRUE) { + if (colour_genes_by_score) { + de_fill_scale <- viridis::scale_fill_viridis( + "DE gene score", + option = "viridis", + guide = ggplot2::guide_colourbar(title.position = "top", + title.hjust = 0.5, + order = 3) + ) + } else { + de_fill_scale <- ggplot2::scale_fill_gradient2( + "DE gene log2(fold-change)", + low = "darkblue", + mid = "white", + high = "firebrick", + guide = ggplot2::guide_colourbar(title.position = "top", + title.hjust = 0.5, + order = 3) + ) + } + + list( + "GWAS_data_thr" = list( + "y_label" = "GWAS peaks", + "line_colour" = "red", + "point_shape" = 21, + "show_name" = FALSE, + "fill_scale" = viridis::scale_fill_viridis( + "GWAS marker score", + option = "plasma", + guide = ggplot2::guide_colourbar(title.position = "top", + title.hjust = 0.5, + order = 2)) + ), + + "DE_data_thr" = list( + "y_label" = "DE genes", + "line_colour" = "darkcyan", + "point_shape" = 23, + "show_name" = FALSE, + "fill_scale" = de_fill_scale + ), + + "CAN_data_thr" = list( + "y_label" = "Candidate genes", + "line_colour" = "grey30", + "point_shape" = 4, + "show_name" = TRUE, + "fill_scale" = NULL + ), + + + "CUSTOM_data_thr" = list( + "y_label" = "Custom track", + "line_colour" = "darkgoldenrod2", + "point_shape" = 21, + "show_name" = FALSE, + "fill_scale" = viridis::scale_fill_viridis( + "Custom score", + option = "rocket", + guide = ggplot2::guide_colourbar(title.position = "top", + title.hjust = 0.5, + order = 4)) + ) + ) } +#' Returns either "aes_type" attribute or object class +#' +#' @param x A `GWAS_data_thr`, `DE_data_thr`, `CAN_data_thr` or +#' `CUSTOM_data_thr` object. +#' @returns Either "aes_type" attribute or object class. +.get_aes_type <- function(x) { + res <- attr(x, "aes_type") + ifelse( + is.null(res), + class(x)[[1]], + res + ) +} + +#' Computes plot aesthetics +#' +#' Get the list of aesthetics for each data types in the plot. +#' +#' @param aes_types Character vector of data types (one per dataset to plot), +#' should be computed with [.get_aes_type()]. +#' @param colour_genes_by_score Logical, whether to colour the genes by score +#' (`TRUE`) or by log2(fold-change) (`FALSE`). +#' @param custom_aes Named list of plot aesthetics for custom data types. See +#' [hidecan_aes()] for information about the content of each element. +#' @returns Named list of plot aesthetics. +.get_plot_aes <- function(aes_types, colour_genes_by_score, custom_aes) { + + default_aes <- hidecan_aes(colour_genes_by_score) + + if (!is.null(custom_aes)) { + default_aes <- c( + custom_aes, + default_aes[setdiff(names(default_aes), names(custom_aes))] + ) + } + + missing_aes <- setdiff(aes_types, names(default_aes)) + + if (length(missing_aes) > 0) { + stop("'custom_aes' function should contain the following elements: '", + paste0(missing_aes, collapse = "', "), "'.", + call. = FALSE) + } + + return(default_aes) +} + +#' Check chromosomes to plot +#' +#' @param toplot Tibble, main data-frame for plot. +#' @param chrom_length Tibble of chromosome length. +#' @param chroms Character vector, name of chromosomes to include in the plot. +#' If `NULL` (default value), all chromosomes will be included. +#' @param remove_empty_chrom Logical, should chromosomes with no significant +#' markers/genes nor candidate genes be removed from the plot? Default value +#' if `FALSE`. +#' @returns Character vector of chromosomes to plot. +.check_chroms <- function(toplot, chrom_length, chroms, remove_empty_chrom) { + ## chromosomes present in dataset and chrom_length + cl_chroms <- unique(chrom_length$chromosome) + tp_chroms <- unique(toplot$chromosome) + all_chrom <- union(cl_chroms, tp_chroms) + + if (is.null(chroms)) { + chroms <- all_chrom + } else { + wrong_chroms <- setdiff(chroms, all_chrom) + if (length(wrong_chroms)) { + stop("In 'chroms' argument, the following values are not valid chromosome names: '", + paste0(wrong_chroms, collapse = "', '"), + ". Possible values are: '", + paste0(all_chrom, collapse = "', '"), + ".") + } + } + + ## If want to remove empty chromosomes, look only at the ones that are in toplot + if(remove_empty_chrom) chroms <- intersect(chroms, tp_chroms) + + ## checking whether some chromosomes in toplot are missing from chrom_length + ## check happens after selecting the specified chromosomes (so then if we don't have info about a chromosome + ## but don't want to plot it it's fine), and also after having removed the empty chromosomes if needed + ## for the same reason + missing_chroms <- setdiff(chroms, cl_chroms) + if (length(missing_chroms)) { + stop("The following chromosomes are present in the data but missing from 'chrom_length' data-frame: '", + paste0(missing_chroms, collapse = "', '"), ".") + } + + chroms +} + +#' Check chromosome limits +#' +#' @param chrom_limits Integer vector of length 2, or named list where the +#' elements are integer vectors of length 2. If vector, gives the lower and +#' upper limit of the chromosomes (in bp) to use in the plot. If a named list, +#' names should correspond to chromosome names. Gives for each chromosome the +#' lower and upper limits (in bp) to use in the plot. Doesn't have to be +#' specified for all chromosomes. Default value is `NULL`, i.e. no limits are +#' applied to the chromosomes (they will be plotted in their entirety). +#' @param chrom_length Tibble of chromosome length. +#' @param chroms Character vector, name of chromosomes to include in the plot. +#' @returns Tibble of chromosome limits to use in the plot. +.check_chrom_limits <- function(chrom_limits, chrom_length, chroms) { + ## for devtools::check() + chromosome <- upper_limit_mb <- lower_limit_mb <- NULL + + if (is.numeric(chrom_limits) & length(chrom_limits) == 2) { + + ## Apply the limits to all chromosomes + chrom_limits <- purrr::map(chroms, ~ chrom_limits) |> + stats::setNames(chroms) + + } else if (is.list(chrom_limits)) { + + if (is.null(names(chrom_limits))) { + stop("The chrom_limits argument should be a named list, with the names corresponding to chromosomes' name.") + } + if (!all(purrr::map_lgl(chrom_limits, is.numeric)) | !all(purrr::map_lgl(chrom_limits, ~length(.x) == 2))) { + stop("The chrom_limits argument should be a named list where each element is an integer vector of length 2.") + } + + bad_chroms <- setdiff(names(chrom_limits), chroms) + if (length(bad_chroms)) { + stop("In chrom_limits argument: '", + paste0(bad_chroms, collapse = "', '"), + "' are not valid chromosome names. Possible names are: '", + paste0(chroms, collapse = "', '"), + "'.") + } + chrom_limits <- chrom_limits[intersect(names(chrom_limits), chroms)] + + } else { + stop("The chrom_limits argument should either be an integer vector of length 2 or a named list where each element is an integer vector of length 2.") + } + + chrom_length |> + dplyr::left_join( + purrr::map_dfr( + chrom_limits, + ~ tibble::tibble(lower_limit_mb = .x[[1]], + upper_limit_mb = .x[[2]]), + .id = "chromosome" + ) |> + dplyr::mutate(chromosome = factor(chromosome, levels = chroms)), + by = "chromosome" + ) |> + tidyr::replace_na(list(lower_limit_mb = 0)) |> + dplyr::mutate(upper_limit_mb = dplyr::coalesce(upper_limit_mb, length), + upper_limit_mb = purrr::map2_dbl(length, upper_limit_mb, ~ min(c(.x, .y))), + lower_limit_mb = lower_limit_mb / 1e6, + upper_limit_mb = upper_limit_mb / 1e6) |> + dplyr::select(-length) +} + +#' Add data type to HIDECAN plot +#' +#' @param p Current ggplot. +#' @param toplot Tibble of data to plot. +#' @param i Character, data type to add in the plot. +#' @param paes Named list, aesthetics to use for this data type (see +#' [hidecan_aes()] for information about the required values). +#' @param add_new_legend Logical, whether the current data type requires a new +#' legend for fill. +#' @param point_size Numeric, size of the points in the plot. +#' @param label_size Numeric, size of the gene labels in the plot. +#' @param label_padding Numeric, amount of padding around gene labels in the +#' plot, as unit or number. +#' @returns Ggplot `p` to which the new data type has been added. +.add_data_type <- function(p, + toplot, + i, + paes, + add_new_legend, + point_size, + label_size, + label_padding) { + ## for devtools::check() + data_type <- name <- score <- NULL + + sub_data <- dplyr::filter(toplot, data_type == i) + + if (add_new_legend) p <- p + ggnewscale::new_scale_fill() + + if (paes$show_name) { + p <- p + + ggrepel::geom_label_repel(ggplot2::aes(label = name), + data = sub_data, + nudge_y = 0.5, + na.rm = TRUE, + size = label_size, + label.padding = label_padding, + alpha = 0.5) + } + + if (is.null(paes$fill_scale)) { + scatter_mapping <- ggplot2::aes(shape = data_type) + } else { + scatter_mapping <- ggplot2::aes(shape = data_type, fill = score) + } + + p <- p + + ggplot2::geom_point(data = sub_data, + mapping = scatter_mapping, + size = point_size) + + paes$fill_scale +} # create_hidecan_plot_interactive <- function(x, # chrom_length, diff --git a/R/input_data_constructors.R b/R/input_data_constructors.R index abcfa29..e906791 100644 --- a/R/input_data_constructors.R +++ b/R/input_data_constructors.R @@ -266,3 +266,65 @@ CAN_data <- function(dat, keep_rownames_as = NULL){ dat <- new_CAN_data(dat) validate_CAN_data(dat) } + +#' `CUSTOM_data` constructor +#' +#' @param dat Tibble, custom genomic features, with at least columns +#' `chromosome`, `position` and `score`. +#' @returns A `GWAS_data` object, i.e. a tibble. +new_CUSTOM_data <- function(dat){ + ## Making sure that the input is a tibble + stopifnot(tibble::is_tibble(dat)) + + class(dat) <- c("CUSTOM_data", class(dat)) + + dat +} + +#' Checks validity of input for `CUSTOM_data` constructor +#' +#' @param x, a `CUSTOM_data` object constructed via \link{new_CUSTOM_data}. +#' @returns A `CUSTOM_data` object, i.e. a tibble. +validate_CUSTOM_data <- function(x){ + + ## A GWAS result table must at least contain these columns + .check_cols(x, c("chromosome", "position", "score")) + + if (!is.numeric(x[["position"]])) stop("'position' column should contain numeric values.", call. = FALSE) + if (!is.numeric(x[["score"]])) stop("'score' column should contain numeric values.", call. = FALSE) + + x +} + +#' Creates a `CUSTOM_data` object +#' +#' Creates a `CUSTOM_data` object from a tibble or data-frame of custom genomic features. +#' +#' The input data should have one row per marker, and at least the +#' following columns: +#' +#' * `chromosome`: character column, chromosome on which the feature is located. +#' +#' * `position`: numeric, the physical position of the feature along the chromosome (in bp). +#' +#' * `score`: numeric, score to be used for the genomic feature. +#' +#' @param dat Tibble of custom genomic features. See Details. +#' @param keep_rownames_as Character, the name of the column in which to save the +#' rownames of the input data-frame. Default value is `NULL`, i.e. rownames will +#' be discarded. +#' @returns A `CUSTOM_data` object, i.e. a tibble. +#' @examples +#' x <- get_example_data() +#' +#' CUSTOM_data(x[["GWAS"]]) +#' @export +CUSTOM_data <- function(dat, keep_rownames_as = NULL){ + ## If the data is not a tibble, transform it + if (!tibble::is_tibble(dat)) { + dat <- tibble::as_tibble(dat, rownames = keep_rownames_as) + } + + dat <- new_CUSTOM_data(dat) + validate_CUSTOM_data(dat) +} diff --git a/man/CUSTOM_data.Rd b/man/CUSTOM_data.Rd new file mode 100644 index 0000000..f0a56c3 --- /dev/null +++ b/man/CUSTOM_data.Rd @@ -0,0 +1,35 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/input_data_constructors.R +\name{CUSTOM_data} +\alias{CUSTOM_data} +\title{Creates a \code{CUSTOM_data} object} +\usage{ +CUSTOM_data(dat, keep_rownames_as = NULL) +} +\arguments{ +\item{dat}{Tibble of custom genomic features. See Details.} + +\item{keep_rownames_as}{Character, the name of the column in which to save the +rownames of the input data-frame. Default value is \code{NULL}, i.e. rownames will +be discarded.} +} +\value{ +A \code{CUSTOM_data} object, i.e. a tibble. +} +\description{ +Creates a \code{CUSTOM_data} object from a tibble or data-frame of custom genomic features. +} +\details{ +The input data should have one row per marker, and at least the +following columns: +\itemize{ +\item \code{chromosome}: character column, chromosome on which the feature is located. +\item \code{position}: numeric, the physical position of the feature along the chromosome (in bp). +\item \code{score}: numeric, score to be used for the genomic feature. +} +} +\examples{ +x <- get_example_data() + +CUSTOM_data(x[["GWAS"]]) +} diff --git a/man/apply_threshold.Rd b/man/apply_threshold.Rd index 3d3857f..99a6b92 100644 --- a/man/apply_threshold.Rd +++ b/man/apply_threshold.Rd @@ -5,6 +5,7 @@ \alias{apply_threshold.GWAS_data} \alias{apply_threshold.DE_data} \alias{apply_threshold.CAN_data} +\alias{apply_threshold.CUSTOM_data} \alias{apply_threshold.default} \title{Filters GWAS or DE results based on a threshold} \usage{ @@ -16,10 +17,12 @@ apply_threshold(x, score_thr = 0, log2fc_thr = 0) \method{apply_threshold}{CAN_data}(x, score_thr = 0, log2fc_thr = 0) +\method{apply_threshold}{CUSTOM_data}(x, score_thr = 0, log2fc_thr = 0) + \method{apply_threshold}{default}(x, score_thr = 0, log2fc_thr = 0) } \arguments{ -\item{x}{Either a \code{GWAS_data}, \code{DE_data} or \code{CAN_data} object.} +\item{x}{Either a \code{GWAS_data}, \code{DE_data}, \code{CAN_data} or \code{CUSTOM_data} object.} \item{score_thr}{Numeric, threshold to use on markers' or genes/transcripts' score. Only markers or genes with a score equal to or higher than this threshold @@ -28,11 +31,11 @@ will be retained. Default value is 0. Ignored for \code{CAN_data}.} \item{log2fc_thr}{Numeric, threshold to use on the absolute value of genes/ transcripts' log2(fold-change). Only genes/transcripts with an absolute log2(fold-change) equal to or higher than this threshold will be retained. -Ignored for \code{GWAS_data} and \code{CAN_data}.} +Ignored for \code{GWAS_data}, \code{CAN_data} and \code{CUSTOM_data}.} } \value{ -A filtered tibble (of class \code{GWAS_data_thr}, \code{DE_data_thr} or -\code{CAN_data_thr}). +A filtered tibble (of class \code{GWAS_data_thr}, \code{DE_data_thr}, +\code{CAN_data_thr} or \code{CUSTOM_data_thr}). } \description{ Filters markers or genes/transcripts based on a threshold applied to their diff --git a/man/combine_chrom_length.Rd b/man/combine_chrom_length.Rd index d42d20f..3e3084c 100644 --- a/man/combine_chrom_length.Rd +++ b/man/combine_chrom_length.Rd @@ -7,7 +7,7 @@ combine_chrom_length(x) } \arguments{ -\item{x}{A list of \code{GWAS_data}, \code{DE_data} or \code{CAN_data} objects.} +\item{x}{A list of \code{GWAS_data}, \code{DE_data}, \code{CAN_data} or \code{CUSTOM_data} objects.} } \value{ A tibble with two columns: \code{chromosome} (chromosome name) and diff --git a/man/compute_chrom_length.Rd b/man/compute_chrom_length.Rd index 98e2006..792f7f7 100644 --- a/man/compute_chrom_length.Rd +++ b/man/compute_chrom_length.Rd @@ -5,6 +5,7 @@ \alias{compute_chrom_length.GWAS_data} \alias{compute_chrom_length.DE_data} \alias{compute_chrom_length.CAN_data} +\alias{compute_chrom_length.CUSTOM_data} \title{Computes chromosomes' length} \usage{ compute_chrom_length(x) @@ -14,9 +15,11 @@ compute_chrom_length(x) \method{compute_chrom_length}{DE_data}(x) \method{compute_chrom_length}{CAN_data}(x) + +\method{compute_chrom_length}{CUSTOM_data}(x) } \arguments{ -\item{x}{Either a \code{GWAS_data}, \code{DE_data} or \code{CAN_data} object.} +\item{x}{Either a \code{GWAS_data}, \code{DE_data}, \code{CAN_data} or \code{CUSTOM_data} object.} } \value{ A tibble with two columns: \code{chromosome} (chromosome name) and diff --git a/man/create_hidecan_plot.Rd b/man/create_hidecan_plot.Rd index ef5a8c6..cdc2e3b 100644 --- a/man/create_hidecan_plot.Rd +++ b/man/create_hidecan_plot.Rd @@ -18,13 +18,15 @@ create_hidecan_plot( legend_position = "bottom", point_size = 3, label_size = 3.5, - label_padding = 0.15 + label_padding = 0.15, + custom_aes = NULL ) } \arguments{ -\item{x}{A list of \code{GWAS_data_thr}, \code{DE_data_thr} and/or \code{CAN_data_thr} -produced by the \code{\link{apply_threshold}()} function. If named, the names -will be appended to the y-axis labels (use \code{' '} as empty name in the list).} +\item{x}{A list of \code{GWAS_data_thr}, \code{DE_data_thr}, \code{CAN_data_thr} and/or +\code{CUSTOM_data_thr} produced by the \code{\link{apply_threshold}()} function. +If named, the names will be appended to the y-axis labels (use \code{' '} as +empty name in the list).} \item{chrom_length}{Tibble with columns \code{chromosome} and \code{length}, giving for each chromosome its length in bp (see \code{\link{combine_chrom_length}()} @@ -71,6 +73,11 @@ Default value is 2. Will be set to \code{NULL} if \code{n_rows} is not \code{NUL \item{label_padding}{Numeric, amount of padding around gene labels in the plot, as unit or number. Default value is 0.15 (for \link[ggrepel]{geom_label_repel}).} + +\item{custom_aes}{Named list of plot aesthetics for custom data types. See +\code{\link[=hidecan_aes]{hidecan_aes()}} for information about the content of each element. Default +is \code{NULL} (only needed if there are \code{CUSTOM_data_thr} objects in \code{x} or to +customise the aesthetics for the default data tracks).} } \value{ A \code{ggplot}. diff --git a/man/dot-add_data_type.Rd b/man/dot-add_data_type.Rd new file mode 100644 index 0000000..3417949 --- /dev/null +++ b/man/dot-add_data_type.Rd @@ -0,0 +1,43 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/create_hidecan_plot.R +\name{.add_data_type} +\alias{.add_data_type} +\title{Add data type to HIDECAN plot} +\usage{ +.add_data_type( + p, + toplot, + i, + paes, + add_new_legend, + point_size, + label_size, + label_padding +) +} +\arguments{ +\item{p}{Current ggplot.} + +\item{toplot}{Tibble of data to plot.} + +\item{i}{Character, data type to add in the plot.} + +\item{paes}{Named list, aesthetics to use for this data type (see +\code{\link[=hidecan_aes]{hidecan_aes()}} for information about the required values).} + +\item{add_new_legend}{Logical, whether the current data type requires a new +legend for fill.} + +\item{point_size}{Numeric, size of the points in the plot.} + +\item{label_size}{Numeric, size of the gene labels in the plot.} + +\item{label_padding}{Numeric, amount of padding around gene labels in the +plot, as unit or number.} +} +\value{ +Ggplot \code{p} to which the new data type has been added. +} +\description{ +Add data type to HIDECAN plot +} diff --git a/man/dot-check_chrom_limits.Rd b/man/dot-check_chrom_limits.Rd new file mode 100644 index 0000000..9ed63c7 --- /dev/null +++ b/man/dot-check_chrom_limits.Rd @@ -0,0 +1,27 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/create_hidecan_plot.R +\name{.check_chrom_limits} +\alias{.check_chrom_limits} +\title{Check chromosome limits} +\usage{ +.check_chrom_limits(chrom_limits, chrom_length, chroms) +} +\arguments{ +\item{chrom_limits}{Integer vector of length 2, or named list where the +elements are integer vectors of length 2. If vector, gives the lower and +upper limit of the chromosomes (in bp) to use in the plot. If a named list, +names should correspond to chromosome names. Gives for each chromosome the +lower and upper limits (in bp) to use in the plot. Doesn't have to be +specified for all chromosomes. Default value is \code{NULL}, i.e. no limits are +applied to the chromosomes (they will be plotted in their entirety).} + +\item{chrom_length}{Tibble of chromosome length.} + +\item{chroms}{Character vector, name of chromosomes to include in the plot.} +} +\value{ +Tibble of chromosome limits to use in the plot. +} +\description{ +Check chromosome limits +} diff --git a/man/dot-check_chroms.Rd b/man/dot-check_chroms.Rd new file mode 100644 index 0000000..9670641 --- /dev/null +++ b/man/dot-check_chroms.Rd @@ -0,0 +1,26 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/create_hidecan_plot.R +\name{.check_chroms} +\alias{.check_chroms} +\title{Check chromosomes to plot} +\usage{ +.check_chroms(toplot, chrom_length, chroms, remove_empty_chrom) +} +\arguments{ +\item{toplot}{Tibble, main data-frame for plot.} + +\item{chrom_length}{Tibble of chromosome length.} + +\item{chroms}{Character vector, name of chromosomes to include in the plot. +If \code{NULL} (default value), all chromosomes will be included.} + +\item{remove_empty_chrom}{Logical, should chromosomes with no significant +markers/genes nor candidate genes be removed from the plot? Default value +if \code{FALSE}.} +} +\value{ +Character vector of chromosomes to plot. +} +\description{ +Check chromosomes to plot +} diff --git a/man/dot-compute_chrom_length_markers.Rd b/man/dot-compute_chrom_length_markers.Rd new file mode 100644 index 0000000..b6ab7e7 --- /dev/null +++ b/man/dot-compute_chrom_length_markers.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/compute_chromosomes_length.R +\name{.compute_chrom_length_markers} +\alias{.compute_chrom_length_markers} +\title{Computes chromosomes' length for a tibble of markers} +\usage{ +.compute_chrom_length_markers(x) +} +\arguments{ +\item{x}{Either a \code{GWAS_data} or \code{CUSTOM_data} object.} +} +\value{ +A tibble with two columns: \code{chromosome} (chromosome name) and +\code{length} (chromosome length in base pair). +} +\description{ +Computes the length (in bp) of each chromosome as the maximum +position of chromosomes on the chromosome. +} diff --git a/man/dot-get_aes_type.Rd b/man/dot-get_aes_type.Rd new file mode 100644 index 0000000..a6497f7 --- /dev/null +++ b/man/dot-get_aes_type.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/create_hidecan_plot.R +\name{.get_aes_type} +\alias{.get_aes_type} +\title{Returns either "aes_type" attribute or object class} +\usage{ +.get_aes_type(x) +} +\arguments{ +\item{x}{A \code{GWAS_data_thr}, \code{DE_data_thr}, \code{CAN_data_thr} or +\code{CUSTOM_data_thr} object.} +} +\value{ +Either "aes_type" attribute or object class. +} +\description{ +Returns either "aes_type" attribute or object class +} diff --git a/man/dot-get_plot_aes.Rd b/man/dot-get_plot_aes.Rd new file mode 100644 index 0000000..b5c8828 --- /dev/null +++ b/man/dot-get_plot_aes.Rd @@ -0,0 +1,24 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/create_hidecan_plot.R +\name{.get_plot_aes} +\alias{.get_plot_aes} +\title{Computes plot aesthetics} +\usage{ +.get_plot_aes(aes_types, colour_genes_by_score, custom_aes) +} +\arguments{ +\item{aes_types}{Character vector of data types (one per dataset to plot), +should be computed with \code{\link[=.get_aes_type]{.get_aes_type()}}.} + +\item{colour_genes_by_score}{Logical, whether to colour the genes by score +(\code{TRUE}) or by log2(fold-change) (\code{FALSE}).} + +\item{custom_aes}{Named list of plot aesthetics for custom data types. See +\code{\link[=hidecan_aes]{hidecan_aes()}} for information about the content of each element.} +} +\value{ +Named list of plot aesthetics. +} +\description{ +Get the list of aesthetics for each data types in the plot. +} diff --git a/man/hidecan_aes.Rd b/man/hidecan_aes.Rd new file mode 100644 index 0000000..6f5c350 --- /dev/null +++ b/man/hidecan_aes.Rd @@ -0,0 +1,28 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/create_hidecan_plot.R +\name{hidecan_aes} +\alias{hidecan_aes} +\title{Default aesthetics for HIDECAN plot} +\usage{ +hidecan_aes(colour_genes_by_score = TRUE) +} +\arguments{ +\item{colour_genes_by_score}{Logical, whether to colour the genes by score +(\code{TRUE}) or by log2(fold-change) (\code{FALSE}). Default value is \code{TRUE}.} +} +\value{ +A named list, with one element per type of data (e.g. GWAS, DE, etc). +Each element is itself a list with the following elements: +\itemize{ +\item \code{y_label}: prefix added to the name of a track on the y-axis of the plot. +\item \code{line_colour}: colour of the vertical line used to show the position of +elements of this type. +\item \code{point_shape}: shape used for the points of this type. +\item \code{show_name}: whether a label with \code{name} value should be added to points of +this type. +\item \code{fill_scale}: fill scale to use for the points of this type. +} +} +\description{ +Generates a list of the default aesthetics used for HIDECAN plots. +} diff --git a/man/hidecan_plot.Rd b/man/hidecan_plot.Rd index 0941ac0..8a058df 100644 --- a/man/hidecan_plot.Rd +++ b/man/hidecan_plot.Rd @@ -23,7 +23,10 @@ hidecan_plot( legend_position = "bottom", point_size = 3, label_size = 3.5, - label_padding = 0.15 + label_padding = 0.15, + custom_aes = NULL, + custom_list = NULL, + score_thr_custom = 0 ) } \arguments{ @@ -31,20 +34,20 @@ hidecan_plot( each with at least a \code{chromosome}, \code{position} and either \code{padj} or \code{score} columns. If a named list, the names will be used in the plot.} -\item{de_list}{Data-frame or list of data-frames containing DE results, -each with at least a \code{chromosome}, \code{start}, \code{end}, \code{log2FoldChange} and -either \code{padj} or \code{score} columns. If a named list, the names will be used in -the plot.} +\item{de_list}{Data-frame or list of data-frames containing DE results, each +with at least a \code{chromosome}, \code{start}, \code{end}, \code{log2FoldChange} and either +\code{padj} or \code{score} columns. If a named list, the names will be used in the +plot.} \item{can_list}{Data-frame or list of data-frames containing candidate genes, each with at least a \code{chromosome}, \code{start}, \code{end} and \code{name} columns. If a named list, the names will be used in the plot.} -\item{score_thr_gwas}{Numeric, the score threshold for GWAS results that will be used to -select which markers will be plotted. Default value is 4.} +\item{score_thr_gwas}{Numeric, the score threshold for GWAS results that will +be used to select which markers will be plotted. Default value is 4.} -\item{score_thr_de}{Numeric, the score threshold for DE results that will be used to -select which markers will be plotted. Default value is 2.} +\item{score_thr_de}{Numeric, the score threshold for DE results that will be +used to select which markers will be plotted. Default value is 2.} \item{log2fc_thr}{Numeric, the log2(fold-change) threshold that will be used to select which genes will be plotted. Default value is 1.} @@ -94,13 +97,26 @@ Default value is 2. Will be set to \code{NULL} if \code{n_rows} is not \code{NUL \item{label_padding}{Numeric, amount of padding around gene labels in the plot, as unit or number. Default value is 0.15 (for \link[ggrepel]{geom_label_repel}).} + +\item{custom_aes}{Named list of plot aesthetics for custom data types. See +\code{\link[=hidecan_aes]{hidecan_aes()}} for information about the content of each element. Default +is \code{NULL} (only needed if there are \code{CUSTOM_data_thr} objects in \code{x} or to +customise the aesthetics for the default data tracks).} + +\item{custom_list}{Data-frame or list of data-frames containing custom +genomic features, each with at least a \code{chromosome}, \code{position} and \code{score} +columns. If a named list, the names will be used in the plot.} + +\item{score_thr_custom}{Numeric, the score threshold for custom genomic +features that will be used to select which markers will be plotted. Default +value is 0.} } \value{ a \code{ggplot}. } \description{ -Wrapper function to create a HIDECAN plot from GWAS results, -DE results or candidate genes. +Wrapper function to create a HIDECAN plot from GWAS results, DE results or +candidate genes. } \examples{ if (interactive()) { diff --git a/man/new_CUSTOM_data.Rd b/man/new_CUSTOM_data.Rd new file mode 100644 index 0000000..03634bb --- /dev/null +++ b/man/new_CUSTOM_data.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/input_data_constructors.R +\name{new_CUSTOM_data} +\alias{new_CUSTOM_data} +\title{\code{CUSTOM_data} constructor} +\usage{ +new_CUSTOM_data(dat) +} +\arguments{ +\item{dat}{Tibble, custom genomic features, with at least columns +\code{chromosome}, \code{position} and \code{score}.} +} +\value{ +A \code{GWAS_data} object, i.e. a tibble. +} +\description{ +\code{CUSTOM_data} constructor +} diff --git a/man/validate_CUSTOM_data.Rd b/man/validate_CUSTOM_data.Rd new file mode 100644 index 0000000..de4a123 --- /dev/null +++ b/man/validate_CUSTOM_data.Rd @@ -0,0 +1,17 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/input_data_constructors.R +\name{validate_CUSTOM_data} +\alias{validate_CUSTOM_data} +\title{Checks validity of input for \code{CUSTOM_data} constructor} +\usage{ +validate_CUSTOM_data(x) +} +\arguments{ +\item{x, }{a \code{CUSTOM_data} object constructed via \link{new_CUSTOM_data}.} +} +\value{ +A \code{CUSTOM_data} object, i.e. a tibble. +} +\description{ +Checks validity of input for \code{CUSTOM_data} constructor +} diff --git a/tests/testthat/data-test/test_gwaspoly_res.rda b/tests/testthat/data-test/test_gwaspoly_res.rda deleted file mode 100644 index 97a4cc7eb392edcbae57afa0698190bda460dad2..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 313814 zcmV)qK$^cFiwFP!000002JHQ3R8`9oHjFM*z?=XBqF_W($r-c&BZ`0#L=hE1au!e! 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