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##' add subplots to tree
##'
##'
##' @title geom_inset
##' @rdname inset
##' @param insets a list of ggplot objects, named by node number
##' @param width width of inset, relative to the range of x-axis
##' @param height height of inset, relative to the range of y-axis
##' @param hjust horizontal adjustment
##' @param vjust vertical adjustment
##' @param x x position, one of 'node' and 'branch'
##' @param reverse_x whether x axis was reversed by scale_x_reverse
##' @param reverse_y whether y axis was reversed by scale_y_reverse
##' @return inset layer
##' @export
##' @author Guangchuang Yu
geom_inset <- function(insets, width = .1, height = .1, hjust = 0, vjust = 0,
x = "node", reverse_x = FALSE, reverse_y = FALSE) {
structure(list(insets = insets, width = width, height = height,
hjust = hjust, vjust = vjust, x = x,
reverse_x = reverse_x, reverse_y = reverse_y), class = "tree_inset")
}
##' add insets in a tree
##'
##'
##' @title inset
##' @rdname inset
##' @param tree_view tree view
## @inheritParams geom_inset
##' @return tree view with insets
##' @importFrom rvcheck get_fun_from_pkg
##' @export
##' @author Guangchuang Yu
inset <- function(tree_view, insets, width, height, hjust=0, vjust=0,
x="node", reverse_x=FALSE, reverse_y=FALSE) {
if(width < 0 || width > 1)
stop("width should be in range of (0,1)")
if(height < 0 || height > 1)
stop("height should be in range of (0,1)")
df <- tree_view$data[as.numeric(names(insets)),]
x <- match.arg(x, c("node", "branch", "edge"))
if (x == 'node') {
xx <- df$x
} else {
xx <- df$branch
}
yy <- df$y
xx <- xx - hjust
yy <- yy - vjust
if (reverse_x)
xx <- -xx
if (reverse_y)
yy <- -yy
width <- width * diff(range(tree_view$data$x, na.rm = TRUE))
height <- height * diff(range(tree_view$data$y, na.rm = TRUE))
geom_subview <- get_fun_from_pkg("ggimage", "geom_subview")
tree_view + geom_subview(subview = insets,
width = width,
height = height,
x = xx,
y = yy)
}
##' generate a list of bar charts for results of ancestral state reconstruction
##'
##'
##' @title nodebar
##' @param position position of bar, one of 'stack' and 'dodge'
##' @inheritParams nodepie
##' @return list of ggplot objects
##' @export
##' @importFrom ggplot2 geom_bar
##' @importFrom tidyr gather
##' @author Guangchuang Yu
nodebar <- function(data, cols, color, alpha=1, position="stack") {
if (! "node" %in% colnames(data)) {
stop("data should have a column 'node'...")
}
type <- value <- NULL
ldf <- gather(data, type, value, !! cols) %>% split(., .$node)
bars <- lapply(ldf, function(df) ggplot(df, aes_(x=1, y=~value, fill=~type)) +
geom_bar(stat='identity', alpha=alpha, position=position) +
theme_inset()
)
if (missingArg(color) || is.null(color) || is.na(color)) {
## do nothing
} else {
bars <- lapply(bars, function(p) p+scale_fill_manual(values=color))
}
return(bars)
}
##' generate a list of pie charts for results of ancestral stat reconstruction
##'
##'
##' @title nodepie
##' @param data a data.frame of stats with an additional column of node number
##' @param cols column of stats
##' @param color color of bar
##' @param alpha alpha
##' @return list of ggplot objects
##' @export
##' @author Guangchuang Yu
nodepie <- function(data, cols, color, alpha=1) {
if (! "node" %in% colnames(data)) {
stop("data should have a column 'node'...")
}
type <- value <- NULL
if (missingArg(color)) {
color <- NA
}
ldf <- gather(data, type, value, !! cols) %>% split(., .$node)
lapply(ldf, function(df) ggpie(df, y=~value, fill=~type, color, alpha))
}
##' @importFrom methods missingArg
ggpie <- function(data, y, fill, color, alpha=1) {
p <- ggplot(data, aes_(x=1, y=y, fill=fill)) +
geom_bar(stat='identity', alpha=alpha) +
coord_polar(theta='y') + theme_inset()
if (missingArg(color) || is.null(color) || is.na(color)) {
## do nothing
} else {
p <- p+scale_fill_manual(values=color)
}
return(p)
}
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