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#' Tidy a `dagitty` object
#'
#' @param .dagitty a `dagitty`
#' @param seed a numeric seed for reproducible layout generation
#' @param layout a layout available in `ggraph`. See [ggraph::create_layout()] for details.
#' @param ... optional arguments passed to `ggraph::create_layout()`
#'
#' @return a `tidy_dagitty` object
#' @export
#'
#' @examples
#' library(dagitty)
#' library(ggplot2)
#'
#' dag <- dagitty("dag {
#' Y <- X <- Z1 <- V -> Z2 -> Y
#' Z1 <- W1 <-> W2 -> Z2
#' X <- W1 -> Y
#' X <- W2 -> Y
#' X [exposure]
#' Y [outcome]
#' }")
#'
#' tidy_dagitty(dag)
#'
#' tidy_dagitty(dag, layout = "fr") %>%
#' ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
#' geom_dag_node() +
#' geom_dag_text() +
#' geom_dag_edges() +
#' theme_dag()
tidy_dagitty <- function(.dagitty, seed = NULL, layout = "nicely", ...) {
check_verboten_layout(layout)
if (!is.null(seed)) set.seed(seed)
if (dagitty::graphType(.dagitty) != "dag") stop("`.dagitty` must be of graph type `dag`")
.dag <- .dagitty
no_existing_coords <- dagitty::coordinates(.dagitty) %>%
purrr::map_lgl(~ all(is.na(.x))) %>%
all()
ggraph_layout <- dagitty::edges(.dagitty) %>%
dplyr::select(v, w) %>%
igraph::graph_from_data_frame(vertices = names(.dagitty)) %>%
{
suppressMessages(ggraph::create_layout(., layout, ...))
}
if (no_existing_coords) {
coords <- coords2list(ggraph_layout)
} else {
coords <- dagitty::coordinates(.dagitty)
}
labels <- names(coords$x)
dag_edges <- dagitty::edges(.dagitty)
tidy_dag <- ggdag_left_join(tibble::enframe(coords$x, value = "x"),
tibble::enframe(coords$y, value = "y"),
by = "name"
)
layout_info <- dplyr::select(ggraph_layout, -x, -y) %>%
dplyr::mutate(name = as.character(name))
names(layout_info) <- c("name", ".ggraph.orig_index", "circular", ".ggraph.index")
tidy_dag <- dag_edges %>%
dplyr::select(-x, -y) %>%
dplyr::mutate(
v = as.character(v),
w = as.character(w),
direction = factor(e, levels = c("<-", "->", "<->"), exclude = NA),
type = ifelse(e == "<->", "bidirected", "directed"),
type = factor(type, levels = c("directed", "bidirected"), exclude = NA)
) %>%
ggdag_left_join(tidy_dag, ., by = c("name" = "v")) %>%
ggdag_left_join(tidy_dag, by = c("w" = "name"), suffix = c("", "end")) %>%
dplyr::select(name, x, y, direction, type, to = w, xend, yend) %>%
ggdag_left_join(layout_info, by = "name") %>%
dplyr::arrange(.ggraph.orig_index) %>%
dplyr::select(-.ggraph.orig_index, -.ggraph.index, -type)
.tdy_dag <- list(data = tidy_dag, dag = .dag)
class(.tdy_dag) <- "tidy_dagitty"
if (has_labels(.dag)) {
label(.tdy_dag) <- label(.dag)
}
.tdy_dag
}
check_verboten_layout <- function(layout) {
if (layout %in% c("dendogram")) {
stop("Layout type `", layout, "` not supported in ggdag", call. = FALSE)
}
}
#' Test for object class for tidy_dagitty
#'
#' @param x object to be tested
#' @export
is.tidy_dagitty <- function(x) {
inherits(x, "tidy_dagitty")
}
#' Fortify a `tidy_dagitty` object for `ggplot2`
#'
#' @param model an object of class `tidy_dagitty` or `dagitty`
#' @param data (not used)
#' @param ... (not used)
#'
#' @export
#' @importFrom ggplot2 fortify
#'
#' @rdname fortify
#' @name fortify
fortify.tidy_dagitty <- function(model, data = NULL, ...) {
model$data
}
#' @rdname fortify
#' @export
fortify.dagitty <- function(model, data = NULL, ...) {
model %>%
tidy_dagitty() %>%
.$data
}
#' Convert a `tidy_dagitty` object to data.frame
#'
#' @param x an object of class `tidy_dagitty`
#' @param row.names NULL or a character vector giving the row names for the data
#' frame. Missing values are not allowed.
#' @param optional logical. If TRUE, setting row names and converting column
#' names (to syntactic names: see make.names) is optional. Note that all of
#' R's base package `as.data.frame()` methods use optional only for column names
#' treatment, basically with the meaning of `data.frame(*, check.names =
#' !optional)`
#' @param ... optional arguments passed to `as.data.frame()`
#'
#' @export
as.data.frame.tidy_dagitty <- function(x, row.names = NULL, optional = FALSE, ...) {
as.data.frame(x$data, row.names = row.names, optional = optional, ...)
}
#' Convert a `tidy_dagitty` object to tbl_df
#'
#' @param .tdy_dag an object of class `tidy_dagitty`
#'
#' @export
#' @importFrom dplyr tbl_df
tbl_df.tidy_daggity <- function(.tdy_dag) {
.tdy_dag$data
}
#' Convert a `tidy_dagitty` object to tbl
#'
#' @param x an object of class `tidy_dagitty`
#' @param row.names NULL or a character vector giving the row names for the data
#' frame. Missing values are not allowed.
#' @param optional logical. If TRUE, setting row names and converting column
#' names (to syntactic names: see make.names) is optional. Note that all of
#' R's base package `as.data.frame()` methods use optional only for column names
#' treatment, basically with the meaning of `data.frame(*, check.names =
#' !optional)`
#' @param ... optional arguments passed to [`dplyr::as_tibble()`]
#'
#' @export
#' @importFrom dplyr as.tbl as_tibble
as.tbl.tidy_daggity <- function(x, row.names = NULL, optional = FALSE, ...) {
dplyr::as.tbl(x$data, row.names = row.names, optional = optional, ...)
}
#' @export
#' @rdname as.tbl.tidy_daggity
as_tibble.tidy_daggity <- function(x, row.names = NULL, optional = FALSE, ...) {
dplyr::as_tibble(x$data, row.names = row.names, optional = optional, ...)
}
#' Print a `tidy_dagitty`
#'
#' @param x an object of class `tidy_dagitty`
#' @param ... optional arguments passed to `print()`
#'
#' @export
print.tidy_dagitty <- function(x, ...) {
cat_subtle <- function(...) cat(pillar::style_subtle(paste(...)))
coll <- function(x, ...) paste(x, collapse = ", ", ...)
cat_subtle("# A DAG with ", n_nodes(x), " nodes and ", n_edges(x), " edges\n", sep = "")
cat_subtle("#\n")
if (has_exposure(x)) cat_subtle("# Exposure: ", coll(dagitty::exposures(x$dag)), "\n", sep = "")
if (has_outcome(x)) cat_subtle("# Outcome: ", coll(dagitty::outcomes(x$dag)), "\n", sep = "")
if (has_latent(x)) cat_subtle("# Latent Variable: ", coll(dagitty::latents(x$dag)), "\n", sep = "")
if (has_collider_path(x)) {
cat_subtle("# Paths opened by conditioning on a collider: ",
coll(collider_paths(x)), "\n",
sep = ""
)
}
if (any(c(
has_collider_path(x),
has_exposure(x),
has_outcome(x),
has_latent(x)
))) {
cat_subtle("#\n")
}
print(x$data, ...)
invisible(x)
}
# not available in the current CRAN version of dagitty
# is_acyclic <- function(g) {
# dagitty::isAcyclic(g)
# }
#' Manipulate DAG coordinates
#'
#' @param coord_list a named list of coordinates
#' @param coord_df a data.frame with columns x, y, and name
#'
#' @return either a list or a data.frame with DAG node coordinates
#' @export
#'
#' @examples
#' library(dagitty)
#' coords <- list(
#' x = c(A = 1, B = 2, D = 3, C = 3, F = 3, E = 4, G = 5, H = 5, I = 5),
#' y = c(A = 0, B = 0, D = 1, C = 0, F = -1, E = 0, G = 1, H = 0, I = -1)
#' )
#' coord_df <- coords2df(coords)
#' coords2list(coord_df)
#'
#' x <- dagitty("dag{
#' G <-> H <-> I <-> G
#' D <- B -> C -> I <- F <- B <- A
#' H <- E <- C -> G <- D
#' }")
#' coordinates(x) <- coords2list(coord_df)
#'
#' @rdname coordinates
#' @name coordinates
coords2df <- function(coord_list) {
coord_df <- purrr::map(coord_list, tibble::enframe) %>% purrr::reduce(ggdag_left_join, by = "name")
names(coord_df) <- c("name", "x", "y")
coord_df
}
#' @rdname coordinates
#' @export
coords2list <- function(coord_df) {
x <- coord_df %>%
dplyr::select(name, x) %>%
tibble::deframe()
y <- coord_df %>%
dplyr::select(name, y) %>%
tibble::deframe()
list(x = x, y = y)
}
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