##' scatter pie plot
##'
##'
##' @title geom_scatterpie
##' @param mapping aes mapping
##' @param data data
##' @param cols cols the pie data
##' @param pie_scale amount to scale the pie size if there is no radius mapping exists
##' @param sorted_by_radius whether plotting large pie first
##' @param legend_name name of fill legend
##' @param long_format logical whether use long format of input data
##' @param donut_radius numeric the radius of donut chart (relative the radius of circle), default is NULL.
##' it should be between 0 and 1, if it is provided, the donut chart will be displayed instead of pie chart.
##' @param bg_circle_radius numeric the radius of background circle, default is FALSE, we suggest setting it
##' to between 1 and 1.5 .
##' @param ... additional parameters
##' @importFrom ggforce geom_arc_bar geom_circle
##' @importFrom utils modifyList
##' @importFrom tidyr gather
##' @importFrom rlang enquo
##' @importFrom rlang !!
##' @importFrom ggplot2 aes_ aes
##' @importFrom ggfun get_aes_var
##' @importFrom stats as.formula
##' @importFrom dplyr bind_rows group_by group_split
##' @export
##' @return layer
##' @examples
##' library(ggplot2)
##' d <- data.frame(x=rnorm(5), y=rnorm(5))
##' d$A <- abs(rnorm(5, sd=1))
##' d$B <- abs(rnorm(5, sd=2))
##' d$C <- abs(rnorm(5, sd=3))
##' ggplot() + geom_scatterpie(aes(x=x, y=y), data=d, cols=c("A", "B", "C")) + coord_fixed()
##' d <- tidyr::gather(d, key="letters", value="value", -x:-y)
##' ggplot() + geom_scatterpie(aes(x=x, y=y), data=d, cols="letters", long_format=TRUE) + coord_fixed()
##' p1 <- ggplot() +
##' geom_scatterpie(
##' mapping = aes(x=x, y=y), data=d, cols="letters",
##' long_format=TRUE,
##' donut_radius=.5
##' ) +
##' coord_fixed()
##' p1
##' p2 <- ggplot() +
##' geom_scatterpie(
##' mapping = aes(x=x, y=y), data=d, cols="letters",
##' long_format=TRUE,
##' donut_radius = .5,
##' bg_circle_radius = 1.2
##' ) +
##' coord_fixed()
##' p2
##' d |> dplyr::select(c(x, y)) |> dplyr::distinct() |> dplyr::mutate(Cell=c('A','A','B','C','B')) -> d2
##' d |> dplyr::left_join(d2) -> d3
##' d3$r_size <- c(2, 3, 4, 5, 6) * .01
##'
##' head(d3)
##' p3 <- ggplot() +
##' geom_scatterpie(data = d3, mapping = aes(x=x, y=y, r = r_size, color=Cell), cols="letters",
##' long_format=TRUE, donut_radius=.5, color = NA, linewidth=2,
##' bg_circle_radius=1.2) + coord_fixed()
##' p3
##'
##' @author Guangchuang Yu
geom_scatterpie <- function(mapping=NULL, data, cols, pie_scale = 1,
sorted_by_radius = FALSE, legend_name = "type",
long_format=FALSE, donut_radius=NULL, bg_circle_radius=NULL, ...) {
if (is.null(mapping))
mapping <- aes_(x = ~x, y = ~y)
mapping <- modifyList(mapping,
aes_(r0 = 0,
fill = as.formula(paste0("~", legend_name)),
amount=~value)
)
if (!'r' %in% names(mapping)) {
xvar <- get_aes_var(mapping, "x")
size <- diff(range(data[, xvar]))/ 50 * pie_scale
data$r <- size
mapping <- modifyList(mapping, aes_(r=~r))
if (!is.null(donut_radius)){
donut_radius <- .check_donut_radius(donut_radius)
data$.R0 <- size * donut_radius
mapping <- modifyList(mapping, aes_(r0 = ~.R0))
}
}else{
if (!is.null(donut_radius)){
rvar <- get_aes_var(mapping, 'r')
donut_radius <- .check_donut_radius(donut_radius)
data$.R0 <- data[[rvar]] * donut_radius
mapping <- modifyList(mapping, aes_(r0 = ~.R0))
}
}
names(mapping)[match(c("x", "y"), names(mapping))] <- c("x0", "y0")
if(long_format==TRUE){
df <- data
names(df)[which(names(df) == cols)] = legend_name
cols2 <- enquo(cols)
} else{
data <- data[rowSums(data[, cols]) > 0, ]
## df <- gather_(data, "type", "value", cols)
cols2 <- enquo(cols)
df <- gather(data, "type", "value", !!cols2)
df$type <- factor(df$type, levels = cols) # set legend order based on order of "cols"
names(df)[which(names(df) == "type")] = legend_name
}
## df <- gather_(data, "type", "value", cols)
# cols2 <- enquo(cols)
# df <- gather(data, "type", "value", !!cols2)
# names(df)[which(names(df) == "type")] = legend_name
## df$type <- factor(df$type, levels=cols)
if (!"group" %in% names(mapping)){
xvar <- get_aes_var(mapping, 'x0')
yvar <- get_aes_var(mapping, 'y0')
df <- df |> dplyr::group_by(!!as.symbol(xvar), !! as.symbol(yvar)) |>
dplyr::group_split() |> as.list()
names(df) <- seq_len(length(df))
df <- dplyr::bind_rows(df, .id=".group.id")
mapping <- modifyList(mapping, aes_(group = ~.group.id))
}
if ('r' %in% colnames(df)){
rvar <- 'r'
}else{
rvar <- get_aes_var(mapping, 'r')
}
if (!sorted_by_radius) {
pie.layer <- geom_arc_bar(mapping, data=df, stat='pie', inherit.aes=FALSE, ...)
if (!is.null(bg_circle_radius)){
circle.layer <- .add_circle_layer(data = df, mapping = mapping, rvar = rvar,
bg_circle_radius = bg_circle_radius, ...)
pie.layer <- list(circle.layer, pie.layer)
}
return(pie.layer)
}
lapply(split(df, df[,rvar, drop=TRUE])[as.character(sort(unique(df[,rvar, drop=TRUE]), decreasing=TRUE))],
function(d)
{
pie.layer <- geom_arc_bar(mapping, data=d, stat='pie', inherit.aes=FALSE, ...)
if (!is.null(bg_circle_radius)){
circle.layer <- .add_circle_layer(data = d, mapping = mapping, rvar = rvar,
bg_circle_radius = bg_circle_radius, ...)
pie.layer <- list(circle.layer, pie.layer)
}
return(pie.layer)
}
)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.