From da2bb73509a11638534b8a053095044e2c9cb57e Mon Sep 17 00:00:00 2001 From: yun Date: Thu, 11 Jul 2024 13:11:40 +0800 Subject: [PATCH] gganno: only reshape matrix not data.frame --- R/eanno.R | 126 ++-- R/eheat.R | 2 +- R/gganno.R | 73 +- R/utils.R | 34 +- README.html | 696 +++++++++++--------- README.md | 149 ++++- man/eanno.Rd | 36 +- man/figures/README-Heatmap_gganno-1.png | Bin 28992 -> 29164 bytes man/figures/README-anno_bar-1.png | Bin 34100 -> 34376 bytes man/figures/README-anno_box-1.png | Bin 32427 -> 32390 bytes man/figures/README-anno_gg-panel-1.png | Bin 29270 -> 29792 bytes man/figures/README-anno_gg-panel-clip-1.png | Bin 19021 -> 19344 bytes man/figures/README-anno_gg-plot-1.png | Bin 28202 -> 28478 bytes man/figures/README-anno_gg-plot-2.png | Bin 25527 -> 25909 bytes man/figures/README-anno_gg2-full-1.png | Bin 24487 -> 24767 bytes man/figures/README-anno_gg2-panel1-1.png | Bin 19035 -> 19341 bytes man/figures/README-anno_gg2-panel2-1.png | Bin 20937 -> 21388 bytes man/figures/README-anno_gg2-panel3-1.png | Bin 25650 -> 25808 bytes man/figures/README-anno_gg2-plot-1.png | Bin 28282 -> 28573 bytes man/figures/README-anno_point-1.png | Bin 26541 -> 26526 bytes man/figures/README-anno_violin-1.png | Bin 44758 -> 45330 bytes man/figures/README-unnamed-chunk-7-1.png | Bin 55054 -> 54972 bytes man/gganno.Rd | 27 +- vignettes/eheat.Rmd | 110 +++- 24 files changed, 779 insertions(+), 474 deletions(-) diff --git a/R/eanno.R b/R/eanno.R index 50dafef..abbc115 100644 --- a/R/eanno.R +++ b/R/eanno.R @@ -4,29 +4,27 @@ #' Manual](https://jokergoo.github.io/ComplexHeatmap-reference/book/heatmap-annotations.html#implement-new-annotation-functions) #' for details. #' -#' The function must have at least Four arguments: `index`, `k`, `n`, and -#' `matrix` (the names of the arguments can be arbitrary) where `k` and `n` are -#' optional. `index` corresponds to the indices of rows or columns of the -#' heatmap. The value of `index` is not necessarily to be the whole row indices -#' or column indices in the heatmap. It can also be a subset of the indices if -#' the annotation is split into slices according to the split of the heatmap. -#' `index` is reordered according to the reordering of heatmap rows or columns -#' (e.g. by clustering). So, `index` actually contains a list of row or column -#' indices for the current slice after row or column reordering. `matrix` will -#' contain the data passed into the argument `matrix`. +#' The function must have at least Four arguments: `index`, `k`, `n` (the names +#' of the arguments can be arbitrary) where `k` and `n` are optional. `index` +#' corresponds to the indices of rows or columns of the heatmap. The value of +#' `index` is not necessarily to be the whole row indices or column indices in +#' the heatmap. It can also be a subset of the indices if the annotation is +#' split into slices according to the split of the heatmap. `index` is +#' reordered according to the reordering of heatmap rows or columns (e.g. by +#' clustering). So, `index` actually contains a list of row or column indices +#' for the current slice after row or column reordering. #' -#' k corresponds to the current slice and n corresponds to the total number of -#' slices. +#' `k` corresponds to the current slice and `n` corresponds to the total number +#' of slices. #' -#' You can always use `self` to indicates the matrix attached in this +#' You can always use `self` to indicates the `data` attached in this #' annotation. #' #' @param ... Additional arguments passed on to `draw_fn`. Only named arguments #' can be subsettable. -#' @param matrix A matrix, if it is a simple vector, it will be converted to a -#' one-column matrix. Data.frame will also be coerced into matrix. If `NULL`, -#' the matrix from heatmap will be used. You can also provide a function to -#' transform the matrix. +#' @param data A `matrix` or `data.frame`, if it is a simple vector, it will be +#' converted to a one-column matrix. If `NULL`, the matrix from the heatmap will +#' be used. You can also provide a function to transform the matrix. #' @inheritParams ComplexHeatmap::AnnotationFunction #' @param subset_rule A list of function to subset variables in `...`. #' @param fun_name Name of the annotation function, only used for message. @@ -70,7 +68,7 @@ #' if (k == 1) grid.yaxis() #' popViewport() #' }, -#' matrix = rnorm(10L), subset_rule = TRUE, +#' data = rnorm(10L), subset_rule = TRUE, #' height = unit(2, "cm") #' ) #' draw(anno) @@ -78,7 +76,7 @@ #' @seealso [AnnotationFunction][ComplexHeatmap::AnnotationFunction] #' @return A `ExtendedAnnotation` object. #' @export -eanno <- function(draw_fn, ..., matrix = NULL, which = NULL, subset_rule = NULL, +eanno <- function(draw_fn, ..., data = NULL, which = NULL, subset_rule = NULL, width = NULL, height = NULL, show_name = TRUE, legends_margin = NULL, legends_panel = NULL, fun_name = NULL) { @@ -91,14 +89,14 @@ eanno <- function(draw_fn, ..., matrix = NULL, which = NULL, subset_rule = NULL, # package namespace can be used directly draw_fn <- allow_lambda(draw_fn) assert_(draw_fn, is.function, "a function") - matrix <- allow_lambda(matrix) - if (is.null(matrix)) { + data <- allow_lambda(data) + if (is.null(data)) { n <- NA - } else if (is.function(matrix)) { + } else if (is.function(data)) { n <- NA } else { - matrix <- build_matrix(matrix) - n <- nrow(matrix) + data <- build_anno_data(data) + n <- nrow(data) } which <- eheat_which(which) @@ -113,7 +111,7 @@ eanno <- function(draw_fn, ..., matrix = NULL, which = NULL, subset_rule = NULL, if (!is_scalar(subset_rule)) { cli::cli_abort("{.arg subset_rule} must be a single boolean value") } else if (is.na(subset_rule)) { - cli::cli_abort("{.arg subset_rule} cannot be missing value") + cli::cli_abort("{.arg subset_rule} cannot be `NA`") } if (subsettable <- subset_rule) { @@ -146,7 +144,7 @@ eanno <- function(draw_fn, ..., matrix = NULL, which = NULL, subset_rule = NULL, # contruct ExtendedAnnotation ----------------------------- anno <- methods::new("ExtendedAnnotation") anno@dots <- dots - anno@matrix <- matrix + anno@data <- data anno@which <- which anno@fun <- draw_fn anno@fun_name <- fun_name %||% "eanno" @@ -184,6 +182,8 @@ eanno <- function(draw_fn, ..., matrix = NULL, which = NULL, subset_rule = NULL, if (!x@subsettable) { cli::cli_abort("{.arg x} is not subsettable.") } + + # subset dots --------------------------------------- rules <- x@subset_rule x@dots[rlang::have_name(x@dots)] <- imap( x@dots[rlang::have_name(x@dots)], function(var, nm) { @@ -210,7 +210,15 @@ eanno <- function(draw_fn, ..., matrix = NULL, which = NULL, subset_rule = NULL, } } ) - if (is.matrix(x@matrix)) x@matrix <- x@matrix[i, , drop = FALSE] + + # subset the annotation data --------------------- + if (inherits(x@data, c("tbl_df", "data.table"))) { + # For tibble and data.table, no `drop` argument + x@data <- x@data[i, ] + } else if (is.matrix(x@data) || is.data.frame(x@data)) { + # For matrix and data.frame + x@data <- x@data[i, , drop = FALSE] + } if (is_scalar(x@n) && is.na(x@n)) return(x) # styler: off if (is.logical(i)) { x@n <- sum(i) @@ -227,14 +235,14 @@ eanno <- function(draw_fn, ..., matrix = NULL, which = NULL, subset_rule = NULL, methods::setClass( "ExtendedAnnotation", slots = list( - matrix = "ANY", + data = "ANY", dots = "list", legends_margin = "list", legends_panel = "list", initialized = "logical" ), prototype = list( - matrix = NULL, + data = NULL, dots = list(), legends_margin = list(), legends_panel = list(), @@ -244,16 +252,20 @@ methods::setClass( ) methods::setValidity("ExtendedAnnotation", function(object) { - matrix <- object@matrix - if (!is.null(matrix) && !is.function(matrix) && !is.matrix(matrix)) { - cli::cli_abort("{.code @matrix} must be a matrix or a function or NULL") + data <- object@data + if (!is.null(data) && !is.function(data) && + !(is.matrix(data) || inherits(data, "data.frame"))) { + cli::cli_abort(paste( + "{.code @data} must be a", + "matrix or data.frame or a function or `NULL`" + )) } TRUE }) wrap_anno_fn <- function(object) { # prepare annotation function -------------------------- - matrix <- object@matrix + data <- object@data dots <- object@dots fn <- object@fun args <- formals(fn) @@ -262,7 +274,7 @@ wrap_anno_fn <- function(object) { # also catches the case where there's a `self = NULL` argument. if (!is.null(.subset2(args, "self")) || "self" %in% names(args)) { function(index, k, n) { - rlang::inject(fn(index, k, n, !!!dots, self = matrix)) + rlang::inject(fn(index, k, n, !!!dots, self = data)) } } else { function(index, k, n) { @@ -290,48 +302,48 @@ methods::setMethod( id <- sprintf("%s (%s)", object@fun_name, name) } # prepare ExtendedAnnotation matrix data --------------------------- - mat <- object@matrix + anno_data <- object@data if (is.null(heatmap)) { heat_matrix <- NULL } else { heat_matrix <- heatmap@matrix } - if (is.null(heat_matrix) && (is.null(mat) || is.function(mat))) { + if (is.null(heat_matrix) && + (is.null(anno_data) || is.function(anno_data))) { cli::cli_abort(paste( - "You must provide a matrix in", id, + "You must provide data (matrix or data.frame) in", id, "in order to draw {.cls {fclass(object)}} directly" )) } - if (is.null(mat)) { - mat <- switch(which, + if (is.null(anno_data)) { + anno_data <- switch(which, row = heat_matrix, column = t(heat_matrix) ) - object@n <- nrow(mat) - } else if (is.function(mat)) { - data <- switch(which, + } else if (is.function(anno_data)) { + mat <- switch(which, row = heat_matrix, column = t(heat_matrix) ) - mat <- tryCatch( - build_matrix(mat(data)), - function(cnd) { + anno_data <- tryCatch( + build_anno_data(anno_data(mat)), + invalid_class = function(cnd) { cli::cli_abort(paste( - "{.fn @matrix} of {id} must return a {.cls matrix},", + "{.fn @data} of {id} must return a {.cls matrix},", "a simple vector, or a {.cls data.frame}." )) } ) - if (nrow(mat) != nrow(data)) { + if (nrow(anno_data) != nrow(mat)) { cli::cli_abort(paste( - "{.fn @matrix} of {id} must a {.cls matrix}", - "with {nrow(mat)} observation{?s}, but the heatmap", - "contain {nrow(data)} for {which} annotation." + "{.fn @data} of {id} return", + "{nrow(anno_data)} observation{?s}, but the heatmap", + "contain {nrow(mat)} for {which} annotation." )) } - object@n <- nrow(mat) } - object@matrix <- mat + object@n <- nrow(anno_data) + object@data <- anno_data # call `eheat_prepare` to modify object after make_layout ---------- # for `eheat_prepare`, the actual geom matrix has been added @@ -413,12 +425,10 @@ methods::setMethod( } if (missing(index)) { if (is.na(object@n)) { - cli::cli_abort( - paste( - "You must provide {.arg index} to draw", - "{.cls {fclass(object)}} directly" - ) - ) + cli::cli_abort(paste( + "You must provide {.arg index} to draw", + "{.cls {fclass(object)}} directly" + )) } index <- seq_len(object@n) } diff --git a/R/eheat.R b/R/eheat.R index 0d76c36..51f9525 100644 --- a/R/eheat.R +++ b/R/eheat.R @@ -179,7 +179,7 @@ #' @name eheat eheat <- function(matrix, ..., legends_margin = list(), legends_panel = list()) { - matrix <- build_matrix(matrix) + matrix <- build_heatmap_matrix(matrix) out <- ComplexHeatmap::Heatmap(matrix = matrix, ...) out <- methods::as(out, "ExtendedHeatmap") out@legends_margin <- legends_margin diff --git a/R/gganno.R b/R/gganno.R index cb3cf10..9e024ac 100644 --- a/R/gganno.R +++ b/R/gganno.R @@ -11,35 +11,40 @@ #' @section ggfn: #' #' `ggfn` accept a ggplot2 object with a default data and mapping created by -#' `ggplot(data, aes(.data$x))` / `ggplot(data, ggplot2::aes(y = .data$y))`. -#' The original matrix will be converted into a long-data.frame (`gganno` always -#' regard row as the observations) with following columns: +#' `ggplot(data, aes(.data$x))` / `ggplot(data, ggplot2::aes(y = .data$y))`. +#' +#' If the original data is a matrix, it'll be reshaped into a long-format +#' data frame in the `ggplot2` plot data. The final ggplot2 plot data will +#' contain following columns: #' - `.slice`: the slice row (which = `"row"`) or column (which = `"column"`) #' number. -#' - `.row_names` and `.column_names`: the row and column names of the original -#' matrix (only applicable when names exist). -#' - `.row_index` and `.column_index`: the row and column index of the original -#' matrix. +#' - `.row_names` and `.row_index`: the row names (only applicable when names +#' exist) and index of the original data. +#' - `.column_names` and `.column_index`: the column names (only applicable when +#' names exist) and index of the original data (`only applicable when +#' the original data is a matrix`). #' - `x` / `y`: indicating the x-axis (or y-axis) coordinates. Don't use #' [coord_flip][ggplot2::coord_flip] to flip coordinates as it may disrupt #' internal operations. -#' - `value`: the actual matrix value of the annotation matrix. +#' - `value`: the actual matrix value of the annotation matrix (`only applicable +#' when the original data is a matrix`). #' #' @inherit ggheat #' @seealso [eanno] #' @examples #' draw(gganno(function(p) { #' p + geom_point(aes(y = value)) -#' }, matrix = rnorm(10L), height = unit(10, "cm"), width = unit(0.7, "npc"))) +#' }, data = rnorm(10L), height = unit(10, "cm"), width = unit(0.7, "npc"))) #' @return A `ggAnno` object. #' @export #' @name gganno -gganno <- function(ggfn, ..., matrix = NULL, +gganno <- function(ggfn, ..., data = NULL, which = NULL, width = NULL, height = NULL) { out <- eanno( - draw_fn = ggfn, ..., matrix = matrix, + draw_fn = ggfn, ..., data = data, subset_rule = NULL, which = which, width = width, height = height, - show_name = FALSE, fun_name = "gganno" + show_name = FALSE, fun_name = "gganno", + legends_margin = NULL, legends_panel = NULL ) out <- methods::as(out, "ggAnno") out @@ -65,9 +70,9 @@ eheat_prepare.ggAnno <- function(object, ..., viewport, heatmap, name) { } which <- object@which # we always regard matrix row as the observations - matrix <- object@matrix + data <- object@data if (is.null(heatmap)) { - order_list <- list(seq_len(nrow(matrix))) + order_list <- list(seq_len(nrow(data))) } else { order_list <- switch(which, row = heatmap@row_order_list, @@ -79,19 +84,25 @@ eheat_prepare.ggAnno <- function(object, ..., viewport, heatmap, name) { } else { with_slice <- FALSE } - row_nms <- rownames(matrix) - col_nms <- colnames(matrix) - data <- as_tibble0(matrix, rownames = NULL) # nolint - colnames(data) <- seq_len(ncol(data)) - data$.row_index <- seq_len(nrow(data)) - data <- tidyr::pivot_longer(data, - cols = !".row_index", - names_to = ".column_index", - values_to = "value" - ) - data$.column_index <- as.integer(data$.column_index) - if (!is.null(row_nms)) data$.row_names <- row_nms[data$.row_index] - if (!is.null(col_nms)) data$.column_names <- col_nms[data$.column_index] + if (is.matrix(data)) { + row_nms <- rownames(data) + col_nms <- colnames(data) + data <- as_tibble0(data, rownames = NULL) # nolint + colnames(data) <- seq_len(ncol(data)) + data$.row_index <- seq_len(nrow(data)) + data <- tidyr::pivot_longer(data, + cols = !".row_index", + names_to = ".column_index", + values_to = "value" + ) + data$.column_index <- as.integer(data$.column_index) + if (!is.null(row_nms)) data$.row_names <- row_nms[data$.row_index] + if (!is.null(col_nms)) data$.column_names <- col_nms[data$.column_index] + } else { + row_nms <- rownames(data) + data <- as_tibble0(data, rownames = ".row_names") + data$.row_index <- seq_len(nrow(data)) + } coords <- data_frame0( .slice = rep( @@ -104,7 +115,7 @@ eheat_prepare.ggAnno <- function(object, ..., viewport, heatmap, name) { data <- merge(coords, data, by = ".row_index", all = FALSE) nms <- c( ".slice", ".row_names", ".column_names", - ".row_index", ".column_index", "x", "y", "value" + ".row_index", ".column_index", "x", "y" ) if (which == "row") { data <- rename(data, c(x = "y")) @@ -118,9 +129,11 @@ eheat_prepare.ggAnno <- function(object, ..., viewport, heatmap, name) { } else { data$y <- reverse_trans(data$y) } - p <- ggplot(data[intersect(nms, names(data))], aes(y = .data$y)) + data <- data[union(intersect(nms, names(data)), names(data))] + p <- ggplot(data, aes(y = .data$y)) } else { - p <- ggplot(data[intersect(nms, names(data))], aes(x = .data$x)) + data <- data[union(intersect(nms, names(data)), names(data))] + p <- ggplot(data, aes(x = .data$x)) } p <- rlang::inject(object@fun(p, !!!object@dots)) object@dots <- list() # remove dots diff --git a/R/utils.R b/R/utils.R index 93f29b1..b9a934a 100644 --- a/R/utils.R +++ b/R/utils.R @@ -39,22 +39,46 @@ imap <- function(.x, .f, ...) { compact <- function(.x) .x[lengths(.x) > 0L] -build_matrix <- function(matrix, arg = rlang::caller_arg(matrix)) { +build_heatmap_matrix <- function(matrix, arg = rlang::caller_arg(matrix)) { if (inherits(matrix, "data.frame")) { - matrix <- as.matrix(matrix) + out <- as.matrix(matrix) } else if (!is.matrix(matrix)) { if (is.atomic(matrix)) { cli::cli_alert_info("convert simple vector to one-column matrix") - matrix <- matrix(matrix, ncol = 1L) - colnames(matrix) <- "V1" + out <- matrix(matrix, ncol = 1L) + colnames(out) <- "V1" + if (rlang::is_named(matrix)) rownames(out) <- names(matrix) } else { cli::cli_abort(paste( "{.arg {arg}} must be a {.cls matrix},", "a simple vector, or a {.cls data.frame}." )) } + } else { + out <- matrix } - matrix + out +} + +build_anno_data <- function(data, arg = rlang::caller_arg(data)) { + if (inherits(data, "data.frame")) { + out <- data + } else if (!is.matrix(data)) { + if (is.atomic(data)) { + cli::cli_alert_info("convert simple vector to one-column matrix") + out <- matrix(data, ncol = 1L) + colnames(out) <- "V1" + if (rlang::is_named(data)) rownames(out) <- names(data) + } else { + cli::cli_abort(paste( + "{.arg {arg}} must be a {.cls matrix},", + "a simple vector, or a {.cls data.frame}." + ), class = "invalid_class") + } + } else { + out <- data + } + out } pindex <- function(array, ...) { diff --git a/README.html b/README.html index d1182c3..724c853 100644 --- a/README.html +++ b/README.html @@ -907,348 +907,432 @@

gganno

ggplot2 object with a default data and mapping created by ggplot(data, aes(.data$x)) (which = "column") / ggplot(data, ggplot2::aes(y = .data$y)) (which = -"row"). The original matrix will be converted into a -long-data.frame (gganno always regard row as the -observations) with following columns.

+"row").

+

If the original data is a matrix, it’ll be reshaped into a +long-format data frame in the ggplot2 plot data. The final +ggplot2 plot data will contain following columns:

gganno can be seamlessly combined with both ggheat and ComplexHeatmap::Heatmap, although legends will not be extracted in the later case.

-

In general, we should just use ggheat and -gganno.

-
anno_data <- sample(1:10, nrow(small_mat))
+

If a matrix is provided, it will be reshaped into long-format +data.frame

+
pdf(NULL)
 draw(ggheat(small_mat,
   top_annotation = HeatmapAnnotation(
     foo = gganno(
-      matrix = anno_data,
+      data = matrix(1:10, nrow = nrow(small_mat)),
       function(p) {
-        p + geom_point(aes(x, value))
-      }
-    ), which = "column"
-  )
-))
-#> ℹ convert simple vector to one-column matrix
- + print(head(p$data)) + p + } + ), which = "column" + ) +)) +#> Warning in matrix(1:10, nrow = nrow(small_mat)): data length [10] is not a +#> sub-multiple or multiple of the number of rows [9] +#> .slice .row_index .column_index x value +#> 1 1 1 1 1 1 +#> 2 1 1 2 1 10 +#> 3 1 2 1 8 2 +#> 4 1 2 2 8 1 +#> 5 1 3 1 6 3 +#> 6 1 3 2 6 2
+
dev.off()
+#> png 
+#>   2
+

If a data frame is provided, it will be preserved in its original +form with additional necessary column added.

+
pdf(NULL)
+draw(ggheat(small_mat,
+  top_annotation = HeatmapAnnotation(
+    foo = gganno(
+      data = data.frame(
+        value = seq_len(nrow(small_mat)),
+        letter = sample(letters, nrow(small_mat), replace = TRUE)
+      ),
+      function(p) {
+        print(head(p$data))
+        p
+      }
+    ), which = "column"
+  )
+))
+#>   .slice .row_names .row_index x value letter
+#> 1      1          1          1 1     1      w
+#> 2      1          2          2 8     2      r
+#> 3      1          3          3 6     3      l
+#> 4      1          4          4 2     4      r
+#> 5      1          5          5 3     5      g
+#> 6      1          6          6 7     6      z
+
dev.off()
+#> png 
+#>   2
+

If provided an atomic vector, it will be converted into a matrix and +then reshaped into long-format data.frame.

+
pdf(NULL)
+draw(ggheat(small_mat,
+  top_annotation = HeatmapAnnotation(
+    foo = gganno(
+      data = sample(1:10, nrow(small_mat)),
+      function(p) {
+        print(head(p$data))
+        p
+      }
+    ), which = "column"
+  )
+))
+#> ℹ convert simple vector to one-column matrix
+#>   .slice .column_names .row_index .column_index x value
+#> 1      1            V1          1             1 1     9
+#> 2      1            V1          2             1 8     3
+#> 3      1            V1          3             1 6     1
+#> 4      1            V1          4             1 2    10
+#> 5      1            V1          5             1 3     7
+#> 6      1            V1          6             1 7     6
+
dev.off()
+#> png 
+#>   2
+

Similarly, we can leverage the geometric objects (geoms) provided by +ggplot2 in ggfn to create annotation.

+
anno_data <- sample(1:10, nrow(small_mat))
+draw(ggheat(small_mat,
+  top_annotation = HeatmapAnnotation(
+    foo = gganno(
+      data = anno_data,
+      function(p) {
+        p + geom_point(aes(x, value))
+      }
+    ), which = "column"
+  )
+))
+#> ℹ convert simple vector to one-column matrix
+

Legends will also be extracted, in the similar manner like passing them into annotation_legend_list argument.

-
draw(ggheat(small_mat,
-  top_annotation = HeatmapAnnotation(
-    foo = gganno(
-      matrix = anno_data,
-      function(p) {
-        p + geom_bar(aes(y = value, fill = factor(.row_index)), stat = "identity")
-      }, height = unit(5, "cm")
-    ), which = "column"
-  )
-), merge_legends = TRUE)
-#> ℹ convert simple vector to one-column matrix
- +
draw(ggheat(small_mat,
+  top_annotation = HeatmapAnnotation(
+    foo = gganno(
+      data = anno_data,
+      function(p) {
+        p + geom_bar(aes(y = value, fill = factor(.row_index)), stat = "identity")
+      }, height = unit(5, "cm")
+    ), which = "column"
+  )
+), merge_legends = TRUE)
+#> ℹ convert simple vector to one-column matrix
+ -
draw(ggheat(small_mat,
-  top_annotation = HeatmapAnnotation(
-    foo = gganno(
-      matrix = anno_data,
-      function(p) {
-        p + geom_boxplot(aes(y = value, fill = factor(.slice)))
-      }, height = unit(5, "cm")
-    ), which = "column"
-  ), column_km = 2L
-), merge_legends = TRUE)
-#> ℹ convert simple vector to one-column matrix
- +
draw(ggheat(small_mat,
+  top_annotation = HeatmapAnnotation(
+    foo = gganno(
+      data = anno_data,
+      function(p) {
+        p + geom_boxplot(aes(y = value, fill = factor(.slice)))
+      }, height = unit(5, "cm")
+    ), which = "column"
+  ), column_km = 2L
+), merge_legends = TRUE)
+#> ℹ convert simple vector to one-column matrix
+ -
box_matrix1 <- matrix(rnorm(ncol(small_mat)^2L, 10), nrow = ncol(small_mat))
-colnames(box_matrix1) <- rep_len("group1", ncol(small_mat))
-box_matrix2 <- matrix(rnorm(ncol(small_mat)^2L, 20), nrow = ncol(small_mat))
-colnames(box_matrix2) <- rep_len("group2", ncol(small_mat))
-draw(ggheat(small_mat,
-  top_annotation = HeatmapAnnotation(
-    foo = gganno(
-      matrix = cbind(box_matrix1, box_matrix2),
-      function(p) {
-        p +
-          geom_violin(
-            aes(
-              y = value, fill = factor(.column_names),
-              color = factor(.slice),
-              group = paste(.slice, .row_index, .column_names, sep = "-")
-            )
-          ) +
-          geom_boxplot(
-            aes(
-              y = value, fill = factor(.column_names),
-              color = factor(.slice),
-              group = paste(.slice, .row_index, .column_names, sep = "-")
-            ),
-            width = 0.2,
-            position = position_dodge(width = 0.9)
-          ) +
-          scale_fill_brewer(
-            name = "Group", type = "qual", palette = "Set3"
-          ) +
-          scale_color_brewer(
-            name = "Slice", type = "qual", palette = "Set1"
-          )
-      }, height = unit(3, "cm")
-    ), which = "column"
-  ), column_km = 2L
-), merge_legends = TRUE)
- +
box_matrix1 <- matrix(rnorm(ncol(small_mat)^2L, 10), nrow = ncol(small_mat))
+colnames(box_matrix1) <- rep_len("group1", ncol(small_mat))
+box_matrix2 <- matrix(rnorm(ncol(small_mat)^2L, 20), nrow = ncol(small_mat))
+colnames(box_matrix2) <- rep_len("group2", ncol(small_mat))
+draw(ggheat(small_mat,
+  top_annotation = HeatmapAnnotation(
+    foo = gganno(
+      data = cbind(box_matrix1, box_matrix2),
+      function(p) {
+        p +
+          geom_violin(
+            aes(
+              y = value, fill = factor(.column_names),
+              color = factor(.slice),
+              group = paste(.slice, .row_index, .column_names, sep = "-")
+            )
+          ) +
+          geom_boxplot(
+            aes(
+              y = value, fill = factor(.column_names),
+              color = factor(.slice),
+              group = paste(.slice, .row_index, .column_names, sep = "-")
+            ),
+            width = 0.2,
+            position = position_dodge(width = 0.9)
+          ) +
+          scale_fill_brewer(
+            name = "Group", type = "qual", palette = "Set3"
+          ) +
+          scale_color_brewer(
+            name = "Slice", type = "qual", palette = "Set1"
+          )
+      }, height = unit(3, "cm")
+    ), which = "column"
+  ), column_km = 2L
+), merge_legends = TRUE)
+ -
draw(ggheat(small_mat,
-  top_annotation = HeatmapAnnotation(
-    foo = gganno(
-      matrix = anno_data,
-      function(p) {
-        p + aes(y = value) + geom_text(aes(label = .row_index))
-      }, height = unit(2, "cm")
-    ), which = "column"
-  ),
-  bottom_annotation = HeatmapAnnotation(
-    foo = gganno(
-      function(p) {
-        p + aes(y = value) +
-          geom_text(aes(label = .row_index)) +
-          scale_y_reverse()
-      },
-      matrix = anno_data,
-      which = "column", height = unit(2, "cm")
-    ),
-    which = "column"
-  ),
-  right_annotation = HeatmapAnnotation(
-    foo = gganno(
-      function(p) {
-        p + aes(x = value) +
-          geom_text(aes(label = .row_index))
-      },
-      matrix = anno_data,
-      width = unit(3, "cm")
-    ),
-    which = "row"
-  ),
-  left_annotation = HeatmapAnnotation(
-    foo = gganno(
-      function(p) {
-        p + aes(x = value) +
-          geom_text(aes(label = .row_index)) +
-          scale_x_reverse()
-      },
-      matrix = anno_data,
-      width = unit(3, "cm")
-    ),
-    which = "row"
-  ),
-  row_km = 2L, column_km = 2L,
-), merge_legends = TRUE)
-#> ℹ convert simple vector to one-column matrix
-#> ℹ convert simple vector to one-column matrix
-#> ℹ convert simple vector to one-column matrix
-#> ℹ convert simple vector to one-column matrix
- +
draw(ggheat(small_mat,
+  top_annotation = HeatmapAnnotation(
+    foo = gganno(
+      data = anno_data,
+      function(p) {
+        p + aes(y = value) + geom_text(aes(label = .row_index))
+      }, height = unit(2, "cm")
+    ), which = "column"
+  ),
+  bottom_annotation = HeatmapAnnotation(
+    foo = gganno(
+      function(p) {
+        p + aes(y = value) +
+          geom_text(aes(label = .row_index)) +
+          scale_y_reverse()
+      },
+      data = anno_data,
+      which = "column", height = unit(2, "cm")
+    ),
+    which = "column"
+  ),
+  right_annotation = HeatmapAnnotation(
+    foo = gganno(
+      function(p) {
+        p + aes(x = value) +
+          geom_text(aes(label = .row_index))
+      },
+      data = anno_data,
+      width = unit(3, "cm")
+    ),
+    which = "row"
+  ),
+  left_annotation = HeatmapAnnotation(
+    foo = gganno(
+      function(p) {
+        p + aes(x = value) +
+          geom_text(aes(label = .row_index)) +
+          scale_x_reverse()
+      },
+      data = anno_data,
+      width = unit(3, "cm")
+    ),
+    which = "row"
+  ),
+  row_km = 2L, column_km = 2L,
+), merge_legends = TRUE)
+#> ℹ convert simple vector to one-column matrix
+#> ℹ convert simple vector to one-column matrix
+#> ℹ convert simple vector to one-column matrix
+#> ℹ convert simple vector to one-column matrix
+

gganno can work with Heatmap function, in -this way, legends won’t be extracted.

-
draw(Heatmap(small_mat,
-  top_annotation = HeatmapAnnotation(
-    foo = gganno(
-      matrix = anno_data,
-      function(p) {
-        p + geom_bar(aes(y = value, fill = factor(.row_index)), stat = "identity")
-      }
-    ), which = "column"
-  )
-), merge_legends = TRUE)
-#> ℹ convert simple vector to one-column matrix
- +this way, legends won’t be extracted. In general, we should just use +ggheat and gganno.

+
draw(Heatmap(small_mat,
+  top_annotation = HeatmapAnnotation(
+    foo = gganno(
+      data = anno_data,
+      function(p) {
+        p + geom_bar(aes(y = value, fill = factor(.row_index)), stat = "identity")
+      }
+    ), which = "column"
+  )
+), merge_legends = TRUE)
+#> ℹ convert simple vector to one-column matrix
+

anno_gg and anno_gg2

Both function acts similar with other annotation function in ComplexHeatmap. They accept a ggplot object and fit it in the ComplexHeatmap annotation area.

-
g <- ggplot(mpg, aes(displ, hwy, colour = class)) +
-  geom_point()
-m <- matrix(rnorm(100), 10)
-
-# anno_gg-panel: clip = "off" -------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg(g, "panel",
-      clip = "off",
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +
g <- ggplot(mpg, aes(displ, hwy, colour = class)) +
+  geom_point()
+m <- matrix(rnorm(100), 10)
+
+# anno_gg-panel: clip = "off" -------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg(g, "panel",
+      clip = "off",
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+ -
# anno_gg-panel: clip = "on" --------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg(g, "panel",
-      clip = "on",
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +
# anno_gg-panel: clip = "on" --------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg(g, "panel",
+      clip = "on",
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+ -
# anno_gg-plot --------------------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg(g, "plot",
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +
# anno_gg-plot --------------------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg(g, "plot",
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+ -

-# anno_gg-full --------------------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg(g, "full",
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +

+# anno_gg-full --------------------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg(g, "full",
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+

anno_gg2 is the same with anno_gg, it differs in terms of its arguments, and allow more precise adjustment of the clip feature.

-
# anno_gg2-panel: margins = NULL -------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg2(g, "panel",
-      margins = NULL,
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +
# anno_gg2-panel: margins = NULL -------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg2(g, "panel",
+      margins = NULL,
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+ -
# anno_gg2-panel: margins = "l" --------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg2(g, "panel",
-      margins = "l",
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +
# anno_gg2-panel: margins = "l" --------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg2(g, "panel",
+      margins = "l",
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+ -
# anno_gg2-panel: margins = "r" --------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg2(g, "panel",
-      margins = "r",
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +
# anno_gg2-panel: margins = "r" --------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg2(g, "panel",
+      margins = "r",
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+ -
# anno_gg2-plot ---------------------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg2(g, "plot",
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +
# anno_gg2-plot ---------------------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg2(g, "plot",
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+ -
# anno_gg2-full --------------------
-ggheat(m,
-  top_annotation = HeatmapAnnotation(
-    ggplot = anno_gg2(
-      g + guides(colour = guide_legend(
-        theme = theme(
-          legend.key.size = unit(1, "mm"),
-          legend.text = element_text(size = 10),
-          legend.key.spacing = unit(0, "mm"),
-          legend.title.position = "bottom",
-          legend.key = element_blank()
-        ),
-        ncol = 2L
-      )),
-      align_with = "full",
-      height = unit(3, "cm"),
-      show_name = FALSE
-    )
-  )
-)
- +
# anno_gg2-full --------------------
+ggheat(m,
+  top_annotation = HeatmapAnnotation(
+    ggplot = anno_gg2(
+      g + guides(colour = guide_legend(
+        theme = theme(
+          legend.key.size = unit(1, "mm"),
+          legend.text = element_text(size = 10),
+          legend.key.spacing = unit(0, "mm"),
+          legend.title.position = "bottom",
+          legend.key = element_blank()
+        ),
+        ncol = 2L
+      )),
+      align_with = "full",
+      height = unit(3, "cm"),
+      show_name = FALSE
+    )
+  )
+)
+

Session information

-
sessionInfo()
-#> R version 4.4.0 (2024-04-24)
-#> Platform: x86_64-pc-linux-gnu
-#> Running under: Ubuntu 24.04 LTS
-#> 
-#> Matrix products: default
-#> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/libmkl_rt.so;  LAPACK version 3.8.0
-#> 
-#> locale:
-#>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8       
-#>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8   
-#>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C          
-#> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   
-#> 
-#> time zone: Asia/Shanghai
-#> tzcode source: system (glibc)
-#> 
-#> attached base packages:
-#> [1] grid      stats     graphics  grDevices utils     datasets  methods  
-#> [8] base     
-#> 
-#> other attached packages:
-#> [1] eheat_0.99.7          ggplot2_3.5.1         ComplexHeatmap_2.20.0
-#> 
-#> loaded via a namespace (and not attached):
-#>  [1] utf8_1.2.4          generics_0.1.3      tidyr_1.3.1        
-#>  [4] shape_1.4.6.1       digest_0.6.36       magrittr_2.0.3     
-#>  [7] evaluate_0.24.0     RColorBrewer_1.1-3  iterators_1.0.14   
-#> [10] circlize_0.4.16     fastmap_1.2.0       foreach_1.5.2      
-#> [13] doParallel_1.0.17   GlobalOptions_0.1.2 purrr_1.0.2        
-#> [16] fansi_1.0.6         viridisLite_0.4.2   scales_1.3.0       
-#> [19] codetools_0.2-20    cli_3.6.3           rlang_1.1.4        
-#> [22] crayon_1.5.3        munsell_0.5.1       withr_3.0.0        
-#> [25] yaml_2.3.8          ggh4x_0.2.8         tools_4.4.0        
-#> [28] parallel_4.4.0      dplyr_1.1.4         colorspace_2.1-0   
-#> [31] GetoptLong_1.0.5    BiocGenerics_0.50.0 vctrs_0.6.5        
-#> [34] R6_2.5.1            png_0.1-8           matrixStats_1.3.0  
-#> [37] stats4_4.4.0        lifecycle_1.0.4     magick_2.8.3       
-#> [40] S4Vectors_0.42.0    IRanges_2.38.0      clue_0.3-65        
-#> [43] cluster_2.1.6       pkgconfig_2.0.3     pillar_1.9.0       
-#> [46] gtable_0.3.5        glue_1.7.0          Rcpp_1.0.12        
-#> [49] highr_0.11          xfun_0.45           tibble_3.2.1       
-#> [52] tidyselect_1.2.1    knitr_1.47          farver_2.1.2       
-#> [55] rjson_0.2.21        htmltools_0.5.8.1   labeling_0.4.3     
-#> [58] rmarkdown_2.27      Cairo_1.6-2         compiler_4.4.0
+
sessionInfo()
+#> R version 4.4.0 (2024-04-24)
+#> Platform: x86_64-pc-linux-gnu
+#> Running under: Ubuntu 24.04 LTS
+#> 
+#> Matrix products: default
+#> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/libmkl_rt.so;  LAPACK version 3.8.0
+#> 
+#> locale:
+#>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8       
+#>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8   
+#>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C          
+#> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   
+#> 
+#> time zone: Asia/Shanghai
+#> tzcode source: system (glibc)
+#> 
+#> attached base packages:
+#> [1] grid      stats     graphics  grDevices utils     datasets  methods  
+#> [8] base     
+#> 
+#> other attached packages:
+#> [1] eheat_0.99.7          ggplot2_3.5.1         ComplexHeatmap_2.20.0
+#> 
+#> loaded via a namespace (and not attached):
+#>  [1] utf8_1.2.4          generics_0.1.3      tidyr_1.3.1        
+#>  [4] shape_1.4.6.1       digest_0.6.36       magrittr_2.0.3     
+#>  [7] evaluate_0.24.0     RColorBrewer_1.1-3  iterators_1.0.14   
+#> [10] circlize_0.4.16     fastmap_1.2.0       foreach_1.5.2      
+#> [13] doParallel_1.0.17   GlobalOptions_0.1.2 purrr_1.0.2        
+#> [16] fansi_1.0.6         viridisLite_0.4.2   scales_1.3.0       
+#> [19] codetools_0.2-20    cli_3.6.3           rlang_1.1.4        
+#> [22] crayon_1.5.3        munsell_0.5.1       withr_3.0.0        
+#> [25] yaml_2.3.8          ggh4x_0.2.8         tools_4.4.0        
+#> [28] parallel_4.4.0      dplyr_1.1.4         colorspace_2.1-0   
+#> [31] GetoptLong_1.0.5    BiocGenerics_0.50.0 vctrs_0.6.5        
+#> [34] R6_2.5.1            png_0.1-8           matrixStats_1.3.0  
+#> [37] stats4_4.4.0        lifecycle_1.0.4     magick_2.8.3       
+#> [40] S4Vectors_0.42.0    IRanges_2.38.0      clue_0.3-65        
+#> [43] cluster_2.1.6       pkgconfig_2.0.3     pillar_1.9.0       
+#> [46] gtable_0.3.5        glue_1.7.0          Rcpp_1.0.12        
+#> [49] highr_0.11          xfun_0.45           tibble_3.2.1       
+#> [52] tidyselect_1.2.1    knitr_1.47          farver_2.1.2       
+#> [55] rjson_0.2.21        htmltools_0.5.8.1   labeling_0.4.3     
+#> [58] rmarkdown_2.27      Cairo_1.6-2         compiler_4.4.0
diff --git a/README.md b/README.md index 0a94ac9..dbb4e69 100644 --- a/README.md +++ b/README.md @@ -380,31 +380,140 @@ draw( The same with `ggheat`, the essential parameter of `gganno` is also the `ggfn`, which accepts a ggplot2 object with a default data and mapping created by `ggplot(data, aes(.data$x))` (which = `"column"`) / -`ggplot(data, ggplot2::aes(y = .data$y))` (which = `"row"`). The -original matrix will be converted into a long-data.frame (`gganno` -always regard row as the observations) with following columns. +`ggplot(data, ggplot2::aes(y = .data$y))` (which = `"row"`). + +If the original data is a matrix, it’ll be reshaped into a long-format +data frame in the `ggplot2` plot data. The final ggplot2 plot data will +contain following columns: - `.slice`: the slice row (which = `"row"`) or column (which = `"column"`) number. -- `.row_names` and `.column_names`: the row and column names of the - original matrix (only applicable when names exist). -- `.row_index` and `.column_index`: the row and column index of the - original matrix. -- `x` / `y`: indicating the x-axis (or y-axis) coordinates. -- `value`: the actual matrix value of the annotation matrix. + +- `.row_names` and `.row_index`: the row names (only applicable when + names exist) and index of the original data. + +- `.column_names` and `.column_index`: the column names (only applicable + when names exist) and index of the original data + (`only applicable when the original data is a matrix`). + +- `x` / `y`: indicating the x-axis (or y-axis) coordinates. Don’t use + `coord_flip` to flip coordinates as it may disrupt internal + operations. + +- `value`: the actual matrix value of the annotation matrix + (`only applicable when the original data is a matrix`). `gganno` can be seamlessly combined with both `ggheat` and `ComplexHeatmap::Heatmap`, although legends will not be extracted in the later case. -In general, we should just use `ggheat` and `gganno`. +If a matrix is provided, it will be reshaped into long-format data.frame + +``` r +pdf(NULL) +draw(ggheat(small_mat, + top_annotation = HeatmapAnnotation( + foo = gganno( + data = matrix(1:10, nrow = nrow(small_mat)), + function(p) { + print(head(p$data)) + p + } + ), which = "column" + ) +)) +#> Warning in matrix(1:10, nrow = nrow(small_mat)): data length [10] is not a +#> sub-multiple or multiple of the number of rows [9] +#> .slice .row_index .column_index x value +#> 1 1 1 1 1 1 +#> 2 1 1 2 1 10 +#> 3 1 2 1 8 2 +#> 4 1 2 2 8 1 +#> 5 1 3 1 6 3 +#> 6 1 3 2 6 2 +``` + +``` r +dev.off() +#> png +#> 2 +``` + +If a data frame is provided, it will be preserved in its original form +with additional necessary column added. + +``` r +pdf(NULL) +draw(ggheat(small_mat, + top_annotation = HeatmapAnnotation( + foo = gganno( + data = data.frame( + value = seq_len(nrow(small_mat)), + letter = sample(letters, nrow(small_mat), replace = TRUE) + ), + function(p) { + print(head(p$data)) + p + } + ), which = "column" + ) +)) +#> .slice .row_names .row_index x value letter +#> 1 1 1 1 1 1 w +#> 2 1 2 2 8 2 r +#> 3 1 3 3 6 3 l +#> 4 1 4 4 2 4 r +#> 5 1 5 5 3 5 g +#> 6 1 6 6 7 6 z +``` + +``` r +dev.off() +#> png +#> 2 +``` + +If provided an atomic vector, it will be converted into a matrix and +then reshaped into long-format data.frame. + +``` r +pdf(NULL) +draw(ggheat(small_mat, + top_annotation = HeatmapAnnotation( + foo = gganno( + data = sample(1:10, nrow(small_mat)), + function(p) { + print(head(p$data)) + p + } + ), which = "column" + ) +)) +#> ℹ convert simple vector to one-column matrix +#> .slice .column_names .row_index .column_index x value +#> 1 1 V1 1 1 1 9 +#> 2 1 V1 2 1 8 3 +#> 3 1 V1 3 1 6 1 +#> 4 1 V1 4 1 2 10 +#> 5 1 V1 5 1 3 7 +#> 6 1 V1 6 1 7 6 +``` + +``` r +dev.off() +#> png +#> 2 +``` + +Similarly, we can leverage the geometric objects (geoms) provided by +ggplot2 in `ggfn` to create annotation. ``` r anno_data <- sample(1:10, nrow(small_mat)) draw(ggheat(small_mat, top_annotation = HeatmapAnnotation( foo = gganno( - matrix = anno_data, + data = anno_data, function(p) { p + geom_point(aes(x, value)) } @@ -423,7 +532,7 @@ into `annotation_legend_list` argument. draw(ggheat(small_mat, top_annotation = HeatmapAnnotation( foo = gganno( - matrix = anno_data, + data = anno_data, function(p) { p + geom_bar(aes(y = value, fill = factor(.row_index)), stat = "identity") }, height = unit(5, "cm") @@ -439,7 +548,7 @@ draw(ggheat(small_mat, draw(ggheat(small_mat, top_annotation = HeatmapAnnotation( foo = gganno( - matrix = anno_data, + data = anno_data, function(p) { p + geom_boxplot(aes(y = value, fill = factor(.slice))) }, height = unit(5, "cm") @@ -459,7 +568,7 @@ colnames(box_matrix2) <- rep_len("group2", ncol(small_mat)) draw(ggheat(small_mat, top_annotation = HeatmapAnnotation( foo = gganno( - matrix = cbind(box_matrix1, box_matrix2), + data = cbind(box_matrix1, box_matrix2), function(p) { p + geom_violin( @@ -496,7 +605,7 @@ draw(ggheat(small_mat, draw(ggheat(small_mat, top_annotation = HeatmapAnnotation( foo = gganno( - matrix = anno_data, + data = anno_data, function(p) { p + aes(y = value) + geom_text(aes(label = .row_index)) }, height = unit(2, "cm") @@ -509,7 +618,7 @@ draw(ggheat(small_mat, geom_text(aes(label = .row_index)) + scale_y_reverse() }, - matrix = anno_data, + data = anno_data, which = "column", height = unit(2, "cm") ), which = "column" @@ -520,7 +629,7 @@ draw(ggheat(small_mat, p + aes(x = value) + geom_text(aes(label = .row_index)) }, - matrix = anno_data, + data = anno_data, width = unit(3, "cm") ), which = "row" @@ -532,7 +641,7 @@ draw(ggheat(small_mat, geom_text(aes(label = .row_index)) + scale_x_reverse() }, - matrix = anno_data, + data = anno_data, width = unit(3, "cm") ), which = "row" @@ -548,13 +657,13 @@ draw(ggheat(small_mat, `gganno` can work with `Heatmap` function, in this way, legends won’t be -extracted. +extracted. In general, we should just use `ggheat` and `gganno`. ``` r draw(Heatmap(small_mat, top_annotation = HeatmapAnnotation( foo = gganno( - matrix = anno_data, + data = anno_data, function(p) { p + geom_bar(aes(y = value, fill = factor(.row_index)), stat = "identity") } diff --git a/man/eanno.Rd b/man/eanno.Rd index b074e64..5dbffb2 100644 --- a/man/eanno.Rd +++ b/man/eanno.Rd @@ -9,7 +9,7 @@ eanno( draw_fn, ..., - matrix = NULL, + data = NULL, which = NULL, subset_rule = NULL, width = NULL, @@ -25,30 +25,28 @@ eanno( \href{https://jokergoo.github.io/ComplexHeatmap-reference/book/heatmap-annotations.html#implement-new-annotation-functions}{ComplexHeatmap Manual} for details. -The function must have at least Four arguments: \code{index}, \code{k}, \code{n}, and -\code{matrix} (the names of the arguments can be arbitrary) where \code{k} and \code{n} are -optional. \code{index} corresponds to the indices of rows or columns of the -heatmap. The value of \code{index} is not necessarily to be the whole row indices -or column indices in the heatmap. It can also be a subset of the indices if -the annotation is split into slices according to the split of the heatmap. -\code{index} is reordered according to the reordering of heatmap rows or columns -(e.g. by clustering). So, \code{index} actually contains a list of row or column -indices for the current slice after row or column reordering. \code{matrix} will -contain the data passed into the argument \code{matrix}. +The function must have at least Four arguments: \code{index}, \code{k}, \code{n} (the names +of the arguments can be arbitrary) where \code{k} and \code{n} are optional. \code{index} +corresponds to the indices of rows or columns of the heatmap. The value of +\code{index} is not necessarily to be the whole row indices or column indices in +the heatmap. It can also be a subset of the indices if the annotation is +split into slices according to the split of the heatmap. \code{index} is +reordered according to the reordering of heatmap rows or columns (e.g. by +clustering). So, \code{index} actually contains a list of row or column indices +for the current slice after row or column reordering. -k corresponds to the current slice and n corresponds to the total number of -slices. +\code{k} corresponds to the current slice and \code{n} corresponds to the total number +of slices. -You can always use \code{self} to indicates the matrix attached in this +You can always use \code{self} to indicates the \code{data} attached in this annotation.} \item{...}{Additional arguments passed on to \code{draw_fn}. Only named arguments can be subsettable.} -\item{matrix}{A matrix, if it is a simple vector, it will be converted to a -one-column matrix. Data.frame will also be coerced into matrix. If \code{NULL}, -the matrix from heatmap will be used. You can also provide a function to -transform the matrix.} +\item{data}{A \code{matrix} or \code{data.frame}, if it is a simple vector, it will be +converted to a one-column matrix. If \code{NULL}, the matrix from the heatmap will +be used. You can also provide a function to transform the matrix.} \item{which}{Whether it is drawn as a column annotation or a row annotation?} @@ -110,7 +108,7 @@ anno <- eanno( if (k == 1) grid.yaxis() popViewport() }, - matrix = rnorm(10L), subset_rule = TRUE, + data = rnorm(10L), subset_rule = TRUE, height = unit(2, "cm") ) draw(anno) diff --git a/man/figures/README-Heatmap_gganno-1.png b/man/figures/README-Heatmap_gganno-1.png index 28af25175fb24ab1d2f7dc691538fb3a35623b86..45f1e1d83b8f48991524d0589ebba746ee716fd1 100644 GIT binary patch literal 29164 zcmb@tbx<5p^EOI^kPsw52n0=V2@u>NfyLe3T^46?NeJ%l5Inf+V!;+CxVr^i+*$6B z_xH#5U8%b7txFZPHM282XU^$<`ssf91k1~cp`#L@A|WB6ONfIMk&vGLL_&J9^71Kg z=KN6H2>5tqC$8a$goM%g`2PfE`^y*!=>w7k=&Q18+Ww-8HqJIF$`M?L>eUl%Ya-w5 zUtC|`D!fUn9c~gUt)5aat36aPD=saboU@oL0@vOYdyoYYiip@_rv2Ja-Z;DzLn;(O zb2t{dYSwGjTw#=JMQQYOxa7Me>OAFpf`sI2V$jV93_m>Q6XpFIbYq0~HwU(2H z8fkA>UQ0+wxVN-g&sG`YJ>_Q9Ziq@s`lVXj&G=jrkLb4_(pyv!b#;7<_fJrBN6qbM 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