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R/xGGnetwork.r
In XGR: Exploring Genomic Relations for Enhanced Interpretation Through Enrichment, Similarity, Network and Annotation Analysis
Defines functions
xGGnetwork
Documented in
xGGnetwork
#' Function to visualise an igraph object using ggnetwork
#'
#' \code{xGGnetwork} is supposed to visualise an igraph object using ggnetwork.
#'
#' @param g an object of class "igraph". For an advanced use, it can be a list of igraph objects; in this case, multiple panels will be shown (particularly useful when visualising the same network but color-coded differently)
#' @param node.label either a vector labelling nodes or a character specifying which node attribute used for the labelling. If NULL (by default), no node labelling
#' @param label.wrap.width a positive integer specifying wrap width of node labelling
#' @param label.wrap.lineheight line height spacing for text in ggplot. By default it is 0.8
#' @param node.label.size a character specifying which node attribute used for node label size
#' @param node.label.fontface a character specifying which node attribute used for node label fontface ('plain', 'bold', 'italic', 'bold.italic')
#' @param node.label.color a character specifying which node attribute used for the node label color
#' @param node.label.alpha the 0-1 value specifying transparency of node labelling
#' @param node.label.padding the padding around the labeled node
#' @param node.label.arrow the arrow pointing to the labeled node
#' @param node.label.force the repelling force between overlapping labels
#' @param node.shape an integer specifying node shape or a character specifying which node attribute used for the node shape (no matter whether it is numeric or character)
#' @param node.shape.title a character specifying the title for node shaping
#' @param node.xcoord a vector specifying x coordinates. If NULL, it will be created using igraph::layout_as_tree
#' @param node.ycoord a vector specifying y coordinates. If NULL, it will be created using igraph::layout_as_tree
#' @param node.color a character specifying which node attribute used for node coloring
#' @param node.color.title a character specifying the title for node coloring
#' @param colormap short name for the colormap. It can be one of "jet" (jet colormap), "bwr" (blue-white-red colormap), "gbr" (green-black-red colormap), "wyr" (white-yellow-red colormap), "br" (black-red colormap), "yr" (yellow-red colormap), "wb" (white-black colormap), "rainbow" (rainbow colormap, that is, red-yellow-green-cyan-blue-magenta), and "ggplot2" (emulating ggplot2 default color palette). Alternatively, any hyphen-separated HTML color names, e.g. "lightyellow-orange" (by default), "blue-black-yellow", "royalblue-white-sandybrown", "darkgreen-white-darkviolet". A list of standard color names can be found in \url{http://html-color-codes.info/color-names}
#' @param ncolors the number of colors specified over the colormap
#' @param zlim the minimum and maximum values for which colors should be plotted
#' @param na.color the color for NAs. By default, it is 'grey80'
#' @param node.color.alpha the 0-1 value specifying transparency of node colors
#' @param node.size either a vector specifying node size or a character specifying which node attribute used for the node size
#' @param node.size.title a character specifying the title for node sizing
#' @param node.size.range the range of actual node size. Can be two values (range) or a value (fixed size)
#' @param slim the minimum and maximum values for which sizes should be plotted
#' @param title a character specifying the title for the plot
#' @param edge.size a numeric value specifying the edge size. By default, it is 0.5. It can be a character specifying which edge attribute defining the edge size (though without the legend)
#' @param edge.color a character specifying the edge color. By default, it is "black". It can be a character specifying which edge attribute defining the edge color (though
#' @param edge.color.alpha the 0-1 value specifying transparency of edge color. By default, it is 0.5. It can be a character specifying which edge attribute defining the transparency of edge color (though without the legend)
#' @param edge.curve a numeric value specifying the edge curve. 0 for the straight line
#' @param edge.arrow a numeric value specifying the edge arrow. By default, it is 2
#' @param edge.arrow.gap a gap between the arrow and the node
#' @param ncolumns an integer specifying the number of columns for facet_wrap. By defaul, it is NULL (decided on according to the number of groups that will be visualised)
#' @return
#' a ggplot object, appended with 'data_nodes' and 'data_edges'
#' @note none
#' @export
#' @seealso \code{\link{xGGnetwork}}
#' @include xGGnetwork.r
#' @examples
#' \dontrun{
#' # Load the library
#' library(XGR)
#' RData.location <- "http://galahad.well.ox.ac.uk/bigdata/"
#'
#' ###########################
#' # load REACTOME
#' # restricted to Immune System ('R-HSA-168256') or Signal Transduction ('R-HSA-162582')
#' g <- xRDataLoader(RData.customised='ig.REACTOME', RData.location=RData.location)
#' neighs.out <- igraph::neighborhood(g, order=vcount(g), nodes="R-HSA-168256", mode="out")
#' nodeInduced <- V(g)[unique(unlist(neighs.out))]$name
#' ig <- igraph::induced.subgraph(g, vids=nodeInduced)
#'
#' # visualise the graph with vertices being color-coded
#' V(ig)$degree <- igraph::degree(ig)
#' gp <- xGGnetwork(g=ig, node.label='term_id', label.wrap.width=30, node.label.size=2, node.label.color='black', node.label.alpha=0.8, node.label.padding=0, node.label.arrow=0, node.label.force=1, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='degree', node.color.title='Degree', colormap='grey-orange-darkred', ncolors=64, zlim=c(0,10), node.size.range=3, edge.color="black",edge.color.alpha=0.3,edge.curve=0.05,edge.arrow.gap=0.02, title='')
#' # advanced use: visualise the list of graphs
#' ls_ig <- list(ig, ig)
#' gp <- xGGnetwork(g=ls_ig, node.label='term_id', label.wrap.width=30, node.label.size=2, node.label.color='black', node.label.alpha=0.8, node.label.padding=0, node.label.arrow=0, node.label.force=1, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='degree', node.color.title='Degree', colormap='grey-orange-darkred', ncolors=64, zlim=c(0,10), node.size.range=3, edge.color="black",edge.color.alpha=0.3,edge.curve=0.05,edge.arrow.gap=0.02, title='')
#'
#' ###########################
#' # load PhasedTargets
#' # restricted to disease ('EFO:0000408') or immune system disease ('EFO:0000540')
#' g <- xRDataLoader(RData.customised='ig.PhasedTargets', RData.location=RData.location)
#' neighs.out <- igraph::neighborhood(g, order=vcount(g), nodes="EFO:0000408", mode="out")
#' nodeInduced <- V(g)[unique(unlist(neighs.out))]$name
#' ig <- igraph::induced.subgraph(g, vids=nodeInduced)
#'
#' # append with the number of approved and phased targets
#' dag <- ig
#' V(dag)$num_approved <- sapply(V(ig)$max_phase,function(x) sum(x$max_phase>=4))
#' V(dag)$num_phased <- sapply(V(ig)$max_phase,function(x) sum(x$max_phase>=0))
#' # keep nodes with num_approved >=20
#' dag_ig <- igraph::induced.subgraph(dag, vids=which(V(dag)$num_approved>=20))
#' # (optional) further restricted to the direct children of the root
#' root <- dnet::dDAGroot(dag_ig)
#' neighs.out <- igraph::neighborhood(dag_ig, order=1, nodes=root, mode="out")
#' nodeInduced <- V(dag_ig)[unique(unlist(neighs.out))]$name
#' dag_ig <- igraph::induced.subgraph(dag_ig, vids=nodeInduced)
#' # nodes colored by num_approved
#' V(dag_ig)$node_color <- log2(V(dag_ig)$num_approved)
#' glayout <- igraph::layout_with_kk(dag_ig)
#' V(dag_ig)$xcoord <- glayout[,1]
#' V(dag_ig)$ycoord <- glayout[,2]
#' gp <- xGGnetwork(g=dag_ig, node.label='term_name', label.wrap.width=30, node.label.size=2, node.label.color='black', node.label.alpha=0.9, node.label.padding=0, node.label.arrow=0, node.label.force=0.5, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='node_color', node.color.title='Approved\n(log2-scale)', colormap='ggplot2.top', ncolors=64, node.size.range=3, edge.color="orange",edge.color.alpha=0.5,edge.curve=0.05,edge.arrow.gap=0.02, title='')
#'
#' ###########################
#' # visualise gene network
#' glayout <- igraph::layout_with_kk(g)
#' V(g)$xcoord <- glayout[,1]
#' V(g)$ycoord <- glayout[,2]
#' V(g)$degree <- igraph::degree(g)
#' gp <- xGGnetwork(g=g, node.label='name', node.label.size=2, node.label.color='black', node.label.alpha=0.8, node.label.padding=0, node.label.arrow=0, node.label.force=0.01, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='priority', node.color.title='5-star\nrating', colormap='yellow-red', ncolors=64, zlim=c(0,5), node.size='degree', node.size.title='Degree', slim=c(0,5), edge.color="orange",edge.color.alpha=0.5,edge.curve=0,edge.arrow.gap=0.025, title='')
#' gp_rating <- xGGnetwork(g=g, node.label='name', node.label.size=2, node.label.color='black', node.label.alpha=0.8, node.label.padding=0.1, node.label.arrow=0, node.label.force=0.01, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='priority', node.color.title='5-star\nrating', colormap='white-yellow-red', ncolors=64, zlim=c(0,5), node.size.range=5, edge.color="orange",edge.color.alpha=0.3,edge.curve=0,edge.arrow.gap=0.02, title='')
#'
#' ###########################
#' # use edge weight to color/size edges (without legends)
#' # edge color
#' #E(g)$color <- xColormap(colormap='RdYlBu', data=E(g)$weight)
#' #E(g)$size <- (E(g)$weight - min(E(g)$weight)) / (max(E(g)$weight) - min(E(g)$weight))
#' e.color <- subset(gp$data, !is.na(na.y))$e.color
#' gp + ggnetwork::geom_edges(color=e.color, show.legend=FALSE)
#' # edge size/thickness
#' e.size <- subset(gp$data, !is.na(na.y))$e.size
#' gp + ggnetwork::geom_edges(size=e.size, show.legend=FALSE)
#' }
xGGnetwork <- function(g, node.label=NULL, label.wrap.width=NULL, label.wrap.lineheight=0.8, node.label.size=NULL, node.label.fontface='plain', node.label.color='darkblue', node.label.alpha=0.8, node.label.padding=1, node.label.arrow=0.01, node.label.force=1, node.shape=19, node.shape.title=NULL, node.xcoord=NULL, node.ycoord=NULL, node.color=NULL, node.color.title=NULL, colormap='grey-orange-darkred', ncolors=64, zlim=NULL, na.color='grey80', node.color.alpha=1, node.size=NULL, node.size.title=NULL, node.size.range=c(1,4), slim=NULL, title='', edge.size=0.5, edge.color="black", edge.color.alpha=0.5, edge.curve=0.1, edge.arrow=2, edge.arrow.gap=0.02, ncolumns=NULL)
{
if(any(class(g) %in% c("igraph"))){
ls_ig <- list(g)
}else if(class(g)=="list"){
## Remove null elements in a list
ls_ig <- base::Filter(base::Negate(is.null), g)
if(length(ls_ig)==0){
return(NULL)
}
}else{
stop("The function must apply to 'list' of 'igraph' objects or a 'igraph' object.\n")
}
## check list_names
ls_names <- names(ls_ig)
if(is.null(ls_names)){
ls_names <- paste('IG', 1:length(ls_ig), sep='_')
names(ls_ig) <- ls_names
}
ls_df <- lapply(1:length(ls_ig), function(i){
ig <- ls_ig[[i]]
if(igraph::vcount(ig)==0){
return(NULL)
}
###############################
if(is.null(V(ig)$name)){
V(ig)$name <- 1:vcount(ig)
}
###############################
########## remove any attributes with the list data type
node_attrs <- igraph::vertex_attr_names(ig)
for(k in 1:length(node_attrs)){
if(class(igraph::vertex_attr(ig, node_attrs[k]))=='list'){
ig <- ig %>% igraph::delete_vertex_attr(node_attrs[k])
}
}
##########
nnode <- igraph::vcount(ig)
## node.xcoord (by default, NULL)
if(length(node.xcoord)!=nnode | length(node.ycoord)!=nnode){
if(!is.null(node.xcoord)){
node.xcoord <- igraph::vertex_attr(ig, node.xcoord)
}
if(!is.null(node.ycoord)){
node.ycoord <- igraph::vertex_attr(ig, node.ycoord)
}
if(is.null(node.xcoord) | is.null(node.ycoord)){
## layout
#glayout <- igraph::layout_with_kk(ig)
glayout <- igraph::layout_as_tree(ig,root=dnet::dDAGroot(ig),circular=TRUE,flip.y=TRUE)
if(all(is.na(glayout))){
glayout <- igraph::layout_with_kk(ig)
}
glayout <- glayout[,c(2:1)]
node.xcoord <- glayout[,1]
node.ycoord <- glayout[,2]
}
}
## scale into [-1,1]
if(max(node.xcoord) != min(node.xcoord)){
node.xcoord <- (node.xcoord - min(node.xcoord)) / (max(node.xcoord) - min(node.xcoord)) * 2 - 1
}
if(max(node.ycoord) != min(node.ycoord)){
node.ycoord <- (node.ycoord - min(node.ycoord)) / (max(node.ycoord) - min(node.ycoord)) * 2 - 1
}
## node.label (by default, NULL)
if(length(node.label)!=nnode){
if(!is.null(node.label)){
node.label <- igraph::vertex_attr(ig, node.label)
}
if(is.null(node.label)){
node.label <- rep('', nnode)
}
}
## text wrap
if(!is.null(label.wrap.width)){
width <- as.integer(label.wrap.width)
res_list <- lapply(node.label, function(x){
if(!is.na(x)){
x <- gsub('_', ' ', x)
y <- strwrap(x, width=width)
if(length(y)==2){
paste(y, collapse='\n')
}else if(length(y)>2){
#paste0(y[1], '...')
paste0(paste(y[1:2],collapse='\n'),'...' )
}else{
y
}
}else{
x
}
})
node.label <- unlist(res_list)
}
V(ig)$n.label <- node.label
## node.label.size (by default, 0)
if(length(node.label.size)!=nnode){
if(!is.null(node.label.size)){
tmp.node.label.size <- igraph::vertex_attr(ig, node.label.size)
}else{
tmp.node.label.size <- rep(0, nnode)
}
if(is.null(tmp.node.label.size)){
node.label.size <- rep(node.label.size, nnode)
}else{
node.label.size <- tmp.node.label.size
}
}
V(ig)$n.label.size <- node.label.size
## node.label.fontface (by default, 0)
if(length(node.label.fontface)!=nnode){
if(!is.null(node.label.fontface)){
tmp.node.label.fontface <- igraph::vertex_attr(ig, node.label.fontface)
}else{
tmp.node.label.fontface <- rep(0, nnode)
}
if(is.null(tmp.node.label.fontface)){
node.label.fontface <- rep(node.label.fontface, nnode)
}else{
node.label.fontface <- tmp.node.label.fontface
}
}
V(ig)$n.label.fontface <- node.label.fontface
## node.label.color (by default, 0)
if(length(node.label.color)!=nnode){
if(!is.null(node.label.color)){
tmp.node.label.color <- igraph::vertex_attr(ig, node.label.color)
}else{
tmp.node.label.color <- rep(0, nnode)
}
if(is.null(tmp.node.label.color)){
node.label.color <- rep(node.label.color, nnode)
}else{
node.label.color <- tmp.node.label.color
}
}
V(ig)$n.label.color <- node.label.color
## node.color (by default, 0)
if(length(node.color)!=nnode){
if(!is.null(node.color)){
node.color <- igraph::vertex_attr(ig, node.color)
}
if(is.null(node.color)){
node.color <- rep(0, nnode)
}
}
## zlim
if(is.null(zlim)){
zlim <- c(min(node.color), max(node.color))
}
node.color[node.color<=zlim[1]] <- zlim[1]
node.color[node.color>=zlim[2]] <- zlim[2]
V(ig)$n.color <- node.color
## node.size (by default, 0)
if(length(node.size)!=nnode){
if(!is.null(node.size)){
tmp.node.size <- igraph::vertex_attr(ig, node.size)
}else{
tmp.node.size <- rep(0, nnode)
}
if(is.null(tmp.node.size)){
node.size <- rep(node.size, nnode)
}else{
node.size <- tmp.node.size
}
}
## slim
if(is.null(slim)){
slim <- c(min(node.size), max(node.size))
}
node.size[node.size<=slim[1]] <- slim[1]
node.size[node.size>=slim[2]] <- slim[2]
V(ig)$n.size <- node.size
## node.shape (by default, 19)
if(length(node.shape)!=nnode){
if(!is.null(node.shape)){
tmp.node.shape <- igraph::vertex_attr(ig, node.shape)
}else{
tmp.node.shape <- rep(19, nnode)
}
if(is.null(tmp.node.shape)){
node.shape <- rep(node.shape, nnode)
}else{
node.shape <- tmp.node.shape
}
}
V(ig)$n.shape <- node.shape
###########################
nedge <- igraph::ecount(ig)
## edge.color (by default, 'black')
if(length(edge.color)!=nedge){
if(!is.null(edge.color)){
tmp.edge.color <- igraph::edge_attr(ig, edge.color)
}else{
tmp.edge.color <- rep('black', nedge)
}
if(is.null(tmp.edge.color)){
edge.color <- rep(edge.color, nedge)
}else{
edge.color <- tmp.edge.color
}
}
E(ig)$e.color <- edge.color
## edge.color.alpha (by default, 0.5)
if(length(edge.color.alpha)!=nedge){
if(!is.null(edge.color.alpha)){
tmp.edge.color.alpha <- igraph::edge_attr(ig, edge.color.alpha)
}else{
tmp.edge.color.alpha <- rep(0.5, nedge)
}
if(is.null(tmp.edge.color.alpha)){
edge.color.alpha <- rep(edge.color.alpha, nedge)
}else{
edge.color.alpha <- tmp.edge.color.alpha
}
}
E(ig)$e.color.alpha <- edge.color.alpha
## edge.size (by default, 0.5)
if(length(edge.size)!=nedge){
if(!is.null(edge.size)){
tmp.edge.size <- igraph::edge_attr(ig, edge.size)
}else{
tmp.edge.size <- rep(0.5, nedge)
}
if(is.null(tmp.edge.size)){
edge.size <- rep(edge.size, nedge)
}else{
edge.size <- tmp.edge.size
}
}
E(ig)$e.size <- edge.size
###########################
#gnet <- ggnetwork::ggnetwork(intergraph::asNetwork(ig), layout=cbind(node.xcoord,node.ycoord), arrow.gap=edge.arrow.gap, cell.jitter=0.75)
gnet <- ggnetwork::ggnetwork(ig, layout=cbind(node.xcoord,node.ycoord), arrow.gap=edge.arrow.gap, cell.jitter=0.75)
data.frame(gnet, group=rep(names(ls_ig)[i],nrow(gnet)), stringsAsFactors=F)
})
df <- do.call(rbind, ls_df)
## To replace only factors:
i <- sapply(df, is.factor)
df[i] <- lapply(df[i], as.character)
## ordered according to the input
df$group <- factor(df$group, levels=names(ls_ig))
## make sure numeric
df$n.color <- as.numeric(df$n.color)
df$n.size <- as.numeric(df$n.size)
## make sure factor
df$n.shape <- factor(df$n.shape, levels=sort(unique(df$n.shape)))
#############################################################
n.color <- n.size <- n.shape <- n.label <- n.label.size <- n.label.color <- NULL
x <- y <- xend <- yend <- NULL
## ggplot
gp <- ggplot(df, aes(x=x,y=y,xend=xend,yend=yend))
########
## edges
########
e.color <- subset(df, !is.na(na.y))$e.color
e.color.alpha <- subset(df, !is.na(na.y))$e.color.alpha
e.size <- subset(df, !is.na(na.y))$e.size
if(igraph::is_directed(ls_ig[[1]])){
gp <- gp + ggnetwork::geom_edges(color=e.color, size=e.size, alpha=e.color.alpha, curvature=edge.curve, arrow=arrow(length=unit(edge.arrow,"pt"),type="closed"), show.legend=FALSE)
}else{
gp <- gp + ggnetwork::geom_edges(color=e.color, size=e.size, alpha=e.color.alpha, curvature=edge.curve, show.legend=FALSE)
}
########
## nodes
########
if(length(unique(df$n.shape))==1){
#####################################
if(!is.numeric(node.shape)){
node.shape <- 19
}
#####################################
gp <- gp + ggnetwork::geom_nodes(aes(color=n.color,size=n.size), shape=node.shape, alpha=node.color.alpha)
}else{
gp <- gp + ggnetwork::geom_nodes(aes(color=n.color,size=n.size, shape=n.shape), alpha=node.color.alpha)
#######
# node shape
gp <- gp + scale_shape(guide=guide_legend(node.shape.title,title.position="top",ncol=1))
#######
}
if(is.null(node.color.title)){
node.color.title <- 'Node color'
}
if(is.null(zlim)){
zlim <- range(df$n.color[!is.na(df$n.color)])
}
if(zlim[1] != zlim[2]){
#gp <- gp + scale_colour_gradientn(colors=xColormap(colormap)(ncolors), limits=zlim, breaks=c(zlim[1],sum(zlim)/2,zlim[2]), guide=guide_colorbar(title=node.color.title,title.position="top",barwidth=0.5,nbin=64,draw.ulim=FALSE,draw.llim=FALSE), na.value=na.color)
gp <- gp + scale_colour_gradientn(colors=xColormap(colormap)(ncolors), limits=zlim, guide=guide_colorbar(title=node.color.title,title.position="top",barwidth=0.5,nbin=64,draw.ulim=FALSE,draw.llim=FALSE), na.value=na.color)
}else{
gp <- gp + scale_colour_gradientn(colors=xColormap(colormap)(ncolors), guide=guide_colorbar(title=node.color.title,title.position="top",barwidth=0.5))
}
if(is.null(node.size.title)){
node.size.title <- 'Node size'
}
if(is.null(slim)){
slim <- range(df$n.size)
}
if(slim[1] != slim[2]){
gp <- gp + scale_size_continuous(limits=slim, range=node.size.range, guide=guide_legend(node.size.title,title.position="top",ncol=1))
}else{
gp <- gp + scale_size_continuous(limits=slim, range=node.size.range, guide=guide_legend(node.size.title,title.position="top",ncol=1))
}
gp <- gp + ggnetwork::theme_blank()
gp <- gp + theme(text=element_text(family="sans")) + labs(title=title) + theme(plot.title=element_text(hjust=0.5,size=10,face="bold"), plot.margin=unit(rep(0,4),rep("lines",4)))
if((zlim[1]!=zlim[2]) & (slim[1]!=slim[2])){
gp <- gp + theme(legend.position="right")
}else{
if(slim[1]==slim[2]){
gp <- gp + guides(size="none")
}
if(zlim[1]==zlim[2]){
gp <- gp + guides(color="none")
}
if(length(unique(df$n.shape))==1){
gp <- gp + guides(shape="none")
}
}
gp <- gp + theme(legend.title=element_text(size=8,face="bold"),legend.text=element_text(size=6))
## facet by 'group' artificially added
if(length(ls_ig)>1){
if(is.null(ncolumns)){
ncolumns <- ceiling(sqrt(length(ls_ig)))
}
group <- NULL
gp <- gp + facet_wrap(~group, ncol=ncolumns)
gp <- gp + theme(strip.background=element_rect(fill="transparent",color="transparent"), strip.text=element_text(size=12,face="bold"), strip.placement="inside", panel.spacing=unit(0,"lines"))
}
if(sum(df$n.label=='')!=nrow(df)){
###########
StatNodes <- ggplot2::ggproto("StatNodes", ggplot2::Stat,
compute_layer = function(data, scales, params) {
if(all(c("xend", "yend") %in% names(data))) {
unique(subset(data, select = c(-xend, -yend)))
} else {
unique(data)
}
}
)
## my_geom_nodetext_repel
my_geom_nodetext_repel <- function (mapping = NULL, data = NULL, parse = FALSE, ..., box.padding = unit(0.25, "lines"), point.padding = unit(1e-06, "lines"), segment.size = 0.5, arrow = NULL, force = 1, max.iter = 2000, nudge_x = 0, nudge_y = 0, na.rm = FALSE, show.legend = F, inherit.aes = TRUE){
ggplot2::layer(data = data, mapping = mapping, stat = StatNodes,
geom = ggrepel::GeomTextRepel, position = "identity",
show.legend = show.legend, inherit.aes = inherit.aes,
params = list(parse = parse, na.rm = na.rm, box.padding = box.padding,
point.padding = point.padding,
segment.size = segment.size, arrow = arrow, force = force,
max.iter = max.iter, nudge_x = nudge_x, nudge_y = nudge_y,
...)
)
}
###########
n.label.size <- subset(df, is.na(na.y))$n.label.size
n.label.fontface <- subset(df, is.na(na.y))$n.label.fontface
n.label.color <- subset(df, is.na(na.y))$n.label.color
gp <- gp + my_geom_nodetext_repel(aes(label=n.label), lineheight=label.wrap.lineheight, size=n.label.size, color=n.label.color, fontface=n.label.fontface, alpha=node.label.alpha, box.padding=unit(0.5,"lines"), point.padding=unit(node.label.padding,"lines"), segment.alpha=0.2, segment.size=0.2, arrow=arrow(length=unit(node.label.arrow,'npc')), force=node.label.force)
}
####################
if(1){
df <- gp$data
na.y <- NULL
## append data_nodes
df_sub <- subset(df, is.na(na.y))
ind <- match(colnames(df_sub), c('na.x','na.y','e.color','edge.color','e.size'))
df_sub <- df_sub[,is.na(ind)]
df_sub <- df_sub[!duplicated(df_sub),]
gp$data_nodes <- df_sub
## append data_edges
df_sub <- subset(df, !is.na(na.y))
ind <- match(colnames(df_sub), c('x','y','xend','yend','e.color','edge.color','e.size'))
df_sub <- df_sub[,!is.na(ind)]
df_sub <- df_sub[!duplicated(df_sub),]
gp$data_edges <- df_sub
}
invisible(gp)
}
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Defines functions xGGnetwork
Documented in xGGnetwork
#' Function to visualise an igraph object using ggnetwork
#'
#' \code{xGGnetwork} is supposed to visualise an igraph object using ggnetwork.
#'
#' @param g an object of class "igraph". For an advanced use, it can be a list of igraph objects; in this case, multiple panels will be shown (particularly useful when visualising the same network but color-coded differently)
#' @param node.label either a vector labelling nodes or a character specifying which node attribute used for the labelling. If NULL (by default), no node labelling
#' @param label.wrap.width a positive integer specifying wrap width of node labelling
#' @param label.wrap.lineheight line height spacing for text in ggplot. By default it is 0.8
#' @param node.label.size a character specifying which node attribute used for node label size
#' @param node.label.fontface a character specifying which node attribute used for node label fontface ('plain', 'bold', 'italic', 'bold.italic')
#' @param node.label.color a character specifying which node attribute used for the node label color
#' @param node.label.alpha the 0-1 value specifying transparency of node labelling
#' @param node.label.padding the padding around the labeled node
#' @param node.label.arrow the arrow pointing to the labeled node
#' @param node.label.force the repelling force between overlapping labels
#' @param node.shape an integer specifying node shape or a character specifying which node attribute used for the node shape (no matter whether it is numeric or character)
#' @param node.shape.title a character specifying the title for node shaping
#' @param node.xcoord a vector specifying x coordinates. If NULL, it will be created using igraph::layout_as_tree
#' @param node.ycoord a vector specifying y coordinates. If NULL, it will be created using igraph::layout_as_tree
#' @param node.color a character specifying which node attribute used for node coloring
#' @param node.color.title a character specifying the title for node coloring
#' @param colormap short name for the colormap. It can be one of "jet" (jet colormap), "bwr" (blue-white-red colormap), "gbr" (green-black-red colormap), "wyr" (white-yellow-red colormap), "br" (black-red colormap), "yr" (yellow-red colormap), "wb" (white-black colormap), "rainbow" (rainbow colormap, that is, red-yellow-green-cyan-blue-magenta), and "ggplot2" (emulating ggplot2 default color palette). Alternatively, any hyphen-separated HTML color names, e.g. "lightyellow-orange" (by default), "blue-black-yellow", "royalblue-white-sandybrown", "darkgreen-white-darkviolet". A list of standard color names can be found in \url{http://html-color-codes.info/color-names}
#' @param ncolors the number of colors specified over the colormap
#' @param zlim the minimum and maximum values for which colors should be plotted
#' @param na.color the color for NAs. By default, it is 'grey80'
#' @param node.color.alpha the 0-1 value specifying transparency of node colors
#' @param node.size either a vector specifying node size or a character specifying which node attribute used for the node size
#' @param node.size.title a character specifying the title for node sizing
#' @param node.size.range the range of actual node size. Can be two values (range) or a value (fixed size)
#' @param slim the minimum and maximum values for which sizes should be plotted
#' @param title a character specifying the title for the plot
#' @param edge.size a numeric value specifying the edge size. By default, it is 0.5. It can be a character specifying which edge attribute defining the edge size (though without the legend)
#' @param edge.color a character specifying the edge color. By default, it is "black". It can be a character specifying which edge attribute defining the edge color (though
#' @param edge.color.alpha the 0-1 value specifying transparency of edge color. By default, it is 0.5. It can be a character specifying which edge attribute defining the transparency of edge color (though without the legend)
#' @param edge.curve a numeric value specifying the edge curve. 0 for the straight line
#' @param edge.arrow a numeric value specifying the edge arrow. By default, it is 2
#' @param edge.arrow.gap a gap between the arrow and the node
#' @param ncolumns an integer specifying the number of columns for facet_wrap. By defaul, it is NULL (decided on according to the number of groups that will be visualised)
#' @return
#' a ggplot object, appended with 'data_nodes' and 'data_edges'
#' @note none
#' @export
#' @seealso \code{\link{xGGnetwork}}
#' @include xGGnetwork.r
#' @examples
#' \dontrun{
#' # Load the library
#' library(XGR)
#' RData.location <- "http://galahad.well.ox.ac.uk/bigdata/"
#'
#' ###########################
#' # load REACTOME
#' # restricted to Immune System ('R-HSA-168256') or Signal Transduction ('R-HSA-162582')
#' g <- xRDataLoader(RData.customised='ig.REACTOME', RData.location=RData.location)
#' neighs.out <- igraph::neighborhood(g, order=vcount(g), nodes="R-HSA-168256", mode="out")
#' nodeInduced <- V(g)[unique(unlist(neighs.out))]$name
#' ig <- igraph::induced.subgraph(g, vids=nodeInduced)
#'
#' # visualise the graph with vertices being color-coded
#' V(ig)$degree <- igraph::degree(ig)
#' gp <- xGGnetwork(g=ig, node.label='term_id', label.wrap.width=30, node.label.size=2, node.label.color='black', node.label.alpha=0.8, node.label.padding=0, node.label.arrow=0, node.label.force=1, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='degree', node.color.title='Degree', colormap='grey-orange-darkred', ncolors=64, zlim=c(0,10), node.size.range=3, edge.color="black",edge.color.alpha=0.3,edge.curve=0.05,edge.arrow.gap=0.02, title='')
#' # advanced use: visualise the list of graphs
#' ls_ig <- list(ig, ig)
#' gp <- xGGnetwork(g=ls_ig, node.label='term_id', label.wrap.width=30, node.label.size=2, node.label.color='black', node.label.alpha=0.8, node.label.padding=0, node.label.arrow=0, node.label.force=1, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='degree', node.color.title='Degree', colormap='grey-orange-darkred', ncolors=64, zlim=c(0,10), node.size.range=3, edge.color="black",edge.color.alpha=0.3,edge.curve=0.05,edge.arrow.gap=0.02, title='')
#'
#' ###########################
#' # load PhasedTargets
#' # restricted to disease ('EFO:0000408') or immune system disease ('EFO:0000540')
#' g <- xRDataLoader(RData.customised='ig.PhasedTargets', RData.location=RData.location)
#' neighs.out <- igraph::neighborhood(g, order=vcount(g), nodes="EFO:0000408", mode="out")
#' nodeInduced <- V(g)[unique(unlist(neighs.out))]$name
#' ig <- igraph::induced.subgraph(g, vids=nodeInduced)
#'
#' # append with the number of approved and phased targets
#' dag <- ig
#' V(dag)$num_approved <- sapply(V(ig)$max_phase,function(x) sum(x$max_phase>=4))
#' V(dag)$num_phased <- sapply(V(ig)$max_phase,function(x) sum(x$max_phase>=0))
#' # keep nodes with num_approved >=20
#' dag_ig <- igraph::induced.subgraph(dag, vids=which(V(dag)$num_approved>=20))
#' # (optional) further restricted to the direct children of the root
#' root <- dnet::dDAGroot(dag_ig)
#' neighs.out <- igraph::neighborhood(dag_ig, order=1, nodes=root, mode="out")
#' nodeInduced <- V(dag_ig)[unique(unlist(neighs.out))]$name
#' dag_ig <- igraph::induced.subgraph(dag_ig, vids=nodeInduced)
#' # nodes colored by num_approved
#' V(dag_ig)$node_color <- log2(V(dag_ig)$num_approved)
#' glayout <- igraph::layout_with_kk(dag_ig)
#' V(dag_ig)$xcoord <- glayout[,1]
#' V(dag_ig)$ycoord <- glayout[,2]
#' gp <- xGGnetwork(g=dag_ig, node.label='term_name', label.wrap.width=30, node.label.size=2, node.label.color='black', node.label.alpha=0.9, node.label.padding=0, node.label.arrow=0, node.label.force=0.5, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='node_color', node.color.title='Approved\n(log2-scale)', colormap='ggplot2.top', ncolors=64, node.size.range=3, edge.color="orange",edge.color.alpha=0.5,edge.curve=0.05,edge.arrow.gap=0.02, title='')
#'
#' ###########################
#' # visualise gene network
#' glayout <- igraph::layout_with_kk(g)
#' V(g)$xcoord <- glayout[,1]
#' V(g)$ycoord <- glayout[,2]
#' V(g)$degree <- igraph::degree(g)
#' gp <- xGGnetwork(g=g, node.label='name', node.label.size=2, node.label.color='black', node.label.alpha=0.8, node.label.padding=0, node.label.arrow=0, node.label.force=0.01, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='priority', node.color.title='5-star\nrating', colormap='yellow-red', ncolors=64, zlim=c(0,5), node.size='degree', node.size.title='Degree', slim=c(0,5), edge.color="orange",edge.color.alpha=0.5,edge.curve=0,edge.arrow.gap=0.025, title='')
#' gp_rating <- xGGnetwork(g=g, node.label='name', node.label.size=2, node.label.color='black', node.label.alpha=0.8, node.label.padding=0.1, node.label.arrow=0, node.label.force=0.01, node.shape=19, node.xcoord='xcoord', node.ycoord='ycoord', node.color='priority', node.color.title='5-star\nrating', colormap='white-yellow-red', ncolors=64, zlim=c(0,5), node.size.range=5, edge.color="orange",edge.color.alpha=0.3,edge.curve=0,edge.arrow.gap=0.02, title='')
#'
#' ###########################
#' # use edge weight to color/size edges (without legends)
#' # edge color
#' #E(g)$color <- xColormap(colormap='RdYlBu', data=E(g)$weight)
#' #E(g)$size <- (E(g)$weight - min(E(g)$weight)) / (max(E(g)$weight) - min(E(g)$weight))
#' e.color <- subset(gp$data, !is.na(na.y))$e.color
#' gp + ggnetwork::geom_edges(color=e.color, show.legend=FALSE)
#' # edge size/thickness
#' e.size <- subset(gp$data, !is.na(na.y))$e.size
#' gp + ggnetwork::geom_edges(size=e.size, show.legend=FALSE)
#' }
xGGnetwork <- function(g, node.label=NULL, label.wrap.width=NULL, label.wrap.lineheight=0.8, node.label.size=NULL, node.label.fontface='plain', node.label.color='darkblue', node.label.alpha=0.8, node.label.padding=1, node.label.arrow=0.01, node.label.force=1, node.shape=19, node.shape.title=NULL, node.xcoord=NULL, node.ycoord=NULL, node.color=NULL, node.color.title=NULL, colormap='grey-orange-darkred', ncolors=64, zlim=NULL, na.color='grey80', node.color.alpha=1, node.size=NULL, node.size.title=NULL, node.size.range=c(1,4), slim=NULL, title='', edge.size=0.5, edge.color="black", edge.color.alpha=0.5, edge.curve=0.1, edge.arrow=2, edge.arrow.gap=0.02, ncolumns=NULL)
{
if(any(class(g) %in% c("igraph"))){
ls_ig <- list(g)
}else if(class(g)=="list"){
## Remove null elements in a list
ls_ig <- base::Filter(base::Negate(is.null), g)
if(length(ls_ig)==0){
return(NULL)
}
}else{
stop("The function must apply to 'list' of 'igraph' objects or a 'igraph' object.\n")
}
## check list_names
ls_names <- names(ls_ig)
if(is.null(ls_names)){
ls_names <- paste('IG', 1:length(ls_ig), sep='_')
names(ls_ig) <- ls_names
}
ls_df <- lapply(1:length(ls_ig), function(i){
ig <- ls_ig[[i]]
if(igraph::vcount(ig)==0){
return(NULL)
}
###############################
if(is.null(V(ig)$name)){
V(ig)$name <- 1:vcount(ig)
}
###############################
########## remove any attributes with the list data type
node_attrs <- igraph::vertex_attr_names(ig)
for(k in 1:length(node_attrs)){
if(class(igraph::vertex_attr(ig, node_attrs[k]))=='list'){
ig <- ig %>% igraph::delete_vertex_attr(node_attrs[k])
}
}
##########
nnode <- igraph::vcount(ig)
## node.xcoord (by default, NULL)
if(length(node.xcoord)!=nnode | length(node.ycoord)!=nnode){
if(!is.null(node.xcoord)){
node.xcoord <- igraph::vertex_attr(ig, node.xcoord)
}
if(!is.null(node.ycoord)){
node.ycoord <- igraph::vertex_attr(ig, node.ycoord)
}
if(is.null(node.xcoord) | is.null(node.ycoord)){
## layout
#glayout <- igraph::layout_with_kk(ig)
glayout <- igraph::layout_as_tree(ig,root=dnet::dDAGroot(ig),circular=TRUE,flip.y=TRUE)
if(all(is.na(glayout))){
glayout <- igraph::layout_with_kk(ig)
}
glayout <- glayout[,c(2:1)]
node.xcoord <- glayout[,1]
node.ycoord <- glayout[,2]
}
}
## scale into [-1,1]
if(max(node.xcoord) != min(node.xcoord)){
node.xcoord <- (node.xcoord - min(node.xcoord)) / (max(node.xcoord) - min(node.xcoord)) * 2 - 1
}
if(max(node.ycoord) != min(node.ycoord)){
node.ycoord <- (node.ycoord - min(node.ycoord)) / (max(node.ycoord) - min(node.ycoord)) * 2 - 1
}
## node.label (by default, NULL)
if(length(node.label)!=nnode){
if(!is.null(node.label)){
node.label <- igraph::vertex_attr(ig, node.label)
}
if(is.null(node.label)){
node.label <- rep('', nnode)
}
}
## text wrap
if(!is.null(label.wrap.width)){
width <- as.integer(label.wrap.width)
res_list <- lapply(node.label, function(x){
if(!is.na(x)){
x <- gsub('_', ' ', x)
y <- strwrap(x, width=width)
if(length(y)==2){
paste(y, collapse='\n')
}else if(length(y)>2){
#paste0(y[1], '...')
paste0(paste(y[1:2],collapse='\n'),'...' )
}else{
y
}
}else{
x
}
})
node.label <- unlist(res_list)
}
V(ig)$n.label <- node.label
## node.label.size (by default, 0)
if(length(node.label.size)!=nnode){
if(!is.null(node.label.size)){
tmp.node.label.size <- igraph::vertex_attr(ig, node.label.size)
}else{
tmp.node.label.size <- rep(0, nnode)
}
if(is.null(tmp.node.label.size)){
node.label.size <- rep(node.label.size, nnode)
}else{
node.label.size <- tmp.node.label.size
}
}
V(ig)$n.label.size <- node.label.size
## node.label.fontface (by default, 0)
if(length(node.label.fontface)!=nnode){
if(!is.null(node.label.fontface)){
tmp.node.label.fontface <- igraph::vertex_attr(ig, node.label.fontface)
}else{
tmp.node.label.fontface <- rep(0, nnode)
}
if(is.null(tmp.node.label.fontface)){
node.label.fontface <- rep(node.label.fontface, nnode)
}else{
node.label.fontface <- tmp.node.label.fontface
}
}
V(ig)$n.label.fontface <- node.label.fontface
## node.label.color (by default, 0)
if(length(node.label.color)!=nnode){
if(!is.null(node.label.color)){
tmp.node.label.color <- igraph::vertex_attr(ig, node.label.color)
}else{
tmp.node.label.color <- rep(0, nnode)
}
if(is.null(tmp.node.label.color)){
node.label.color <- rep(node.label.color, nnode)
}else{
node.label.color <- tmp.node.label.color
}
}
V(ig)$n.label.color <- node.label.color
## node.color (by default, 0)
if(length(node.color)!=nnode){
if(!is.null(node.color)){
node.color <- igraph::vertex_attr(ig, node.color)
}
if(is.null(node.color)){
node.color <- rep(0, nnode)
}
}
## zlim
if(is.null(zlim)){
zlim <- c(min(node.color), max(node.color))
}
node.color[node.color<=zlim[1]] <- zlim[1]
node.color[node.color>=zlim[2]] <- zlim[2]
V(ig)$n.color <- node.color
## node.size (by default, 0)
if(length(node.size)!=nnode){
if(!is.null(node.size)){
tmp.node.size <- igraph::vertex_attr(ig, node.size)
}else{
tmp.node.size <- rep(0, nnode)
}
if(is.null(tmp.node.size)){
node.size <- rep(node.size, nnode)
}else{
node.size <- tmp.node.size
}
}
## slim
if(is.null(slim)){
slim <- c(min(node.size), max(node.size))
}
node.size[node.size<=slim[1]] <- slim[1]
node.size[node.size>=slim[2]] <- slim[2]
V(ig)$n.size <- node.size
## node.shape (by default, 19)
if(length(node.shape)!=nnode){
if(!is.null(node.shape)){
tmp.node.shape <- igraph::vertex_attr(ig, node.shape)
}else{
tmp.node.shape <- rep(19, nnode)
}
if(is.null(tmp.node.shape)){
node.shape <- rep(node.shape, nnode)
}else{
node.shape <- tmp.node.shape
}
}
V(ig)$n.shape <- node.shape
###########################
nedge <- igraph::ecount(ig)
## edge.color (by default, 'black')
if(length(edge.color)!=nedge){
if(!is.null(edge.color)){
tmp.edge.color <- igraph::edge_attr(ig, edge.color)
}else{
tmp.edge.color <- rep('black', nedge)
}
if(is.null(tmp.edge.color)){
edge.color <- rep(edge.color, nedge)
}else{
edge.color <- tmp.edge.color
}
}
E(ig)$e.color <- edge.color
## edge.color.alpha (by default, 0.5)
if(length(edge.color.alpha)!=nedge){
if(!is.null(edge.color.alpha)){
tmp.edge.color.alpha <- igraph::edge_attr(ig, edge.color.alpha)
}else{
tmp.edge.color.alpha <- rep(0.5, nedge)
}
if(is.null(tmp.edge.color.alpha)){
edge.color.alpha <- rep(edge.color.alpha, nedge)
}else{
edge.color.alpha <- tmp.edge.color.alpha
}
}
E(ig)$e.color.alpha <- edge.color.alpha
## edge.size (by default, 0.5)
if(length(edge.size)!=nedge){
if(!is.null(edge.size)){
tmp.edge.size <- igraph::edge_attr(ig, edge.size)
}else{
tmp.edge.size <- rep(0.5, nedge)
}
if(is.null(tmp.edge.size)){
edge.size <- rep(edge.size, nedge)
}else{
edge.size <- tmp.edge.size
}
}
E(ig)$e.size <- edge.size
###########################
#gnet <- ggnetwork::ggnetwork(intergraph::asNetwork(ig), layout=cbind(node.xcoord,node.ycoord), arrow.gap=edge.arrow.gap, cell.jitter=0.75)
gnet <- ggnetwork::ggnetwork(ig, layout=cbind(node.xcoord,node.ycoord), arrow.gap=edge.arrow.gap, cell.jitter=0.75)
data.frame(gnet, group=rep(names(ls_ig)[i],nrow(gnet)), stringsAsFactors=F)
})
df <- do.call(rbind, ls_df)
## To replace only factors:
i <- sapply(df, is.factor)
df[i] <- lapply(df[i], as.character)
## ordered according to the input
df$group <- factor(df$group, levels=names(ls_ig))
## make sure numeric
df$n.color <- as.numeric(df$n.color)
df$n.size <- as.numeric(df$n.size)
## make sure factor
df$n.shape <- factor(df$n.shape, levels=sort(unique(df$n.shape)))
#############################################################
n.color <- n.size <- n.shape <- n.label <- n.label.size <- n.label.color <- NULL
x <- y <- xend <- yend <- NULL
## ggplot
gp <- ggplot(df, aes(x=x,y=y,xend=xend,yend=yend))
########
## edges
########
e.color <- subset(df, !is.na(na.y))$e.color
e.color.alpha <- subset(df, !is.na(na.y))$e.color.alpha
e.size <- subset(df, !is.na(na.y))$e.size
if(igraph::is_directed(ls_ig[[1]])){
gp <- gp + ggnetwork::geom_edges(color=e.color, size=e.size, alpha=e.color.alpha, curvature=edge.curve, arrow=arrow(length=unit(edge.arrow,"pt"),type="closed"), show.legend=FALSE)
}else{
gp <- gp + ggnetwork::geom_edges(color=e.color, size=e.size, alpha=e.color.alpha, curvature=edge.curve, show.legend=FALSE)
}
########
## nodes
########
if(length(unique(df$n.shape))==1){
#####################################
if(!is.numeric(node.shape)){
node.shape <- 19
}
#####################################
gp <- gp + ggnetwork::geom_nodes(aes(color=n.color,size=n.size), shape=node.shape, alpha=node.color.alpha)
}else{
gp <- gp + ggnetwork::geom_nodes(aes(color=n.color,size=n.size, shape=n.shape), alpha=node.color.alpha)
#######
# node shape
gp <- gp + scale_shape(guide=guide_legend(node.shape.title,title.position="top",ncol=1))
#######
}
if(is.null(node.color.title)){
node.color.title <- 'Node color'
}
if(is.null(zlim)){
zlim <- range(df$n.color[!is.na(df$n.color)])
}
if(zlim[1] != zlim[2]){
#gp <- gp + scale_colour_gradientn(colors=xColormap(colormap)(ncolors), limits=zlim, breaks=c(zlim[1],sum(zlim)/2,zlim[2]), guide=guide_colorbar(title=node.color.title,title.position="top",barwidth=0.5,nbin=64,draw.ulim=FALSE,draw.llim=FALSE), na.value=na.color)
gp <- gp + scale_colour_gradientn(colors=xColormap(colormap)(ncolors), limits=zlim, guide=guide_colorbar(title=node.color.title,title.position="top",barwidth=0.5,nbin=64,draw.ulim=FALSE,draw.llim=FALSE), na.value=na.color)
}else{
gp <- gp + scale_colour_gradientn(colors=xColormap(colormap)(ncolors), guide=guide_colorbar(title=node.color.title,title.position="top",barwidth=0.5))
}
if(is.null(node.size.title)){
node.size.title <- 'Node size'
}
if(is.null(slim)){
slim <- range(df$n.size)
}
if(slim[1] != slim[2]){
gp <- gp + scale_size_continuous(limits=slim, range=node.size.range, guide=guide_legend(node.size.title,title.position="top",ncol=1))
}else{
gp <- gp + scale_size_continuous(limits=slim, range=node.size.range, guide=guide_legend(node.size.title,title.position="top",ncol=1))
}
gp <- gp + ggnetwork::theme_blank()
gp <- gp + theme(text=element_text(family="sans")) + labs(title=title) + theme(plot.title=element_text(hjust=0.5,size=10,face="bold"), plot.margin=unit(rep(0,4),rep("lines",4)))
if((zlim[1]!=zlim[2]) & (slim[1]!=slim[2])){
gp <- gp + theme(legend.position="right")
}else{
if(slim[1]==slim[2]){
gp <- gp + guides(size="none")
}
if(zlim[1]==zlim[2]){
gp <- gp + guides(color="none")
}
if(length(unique(df$n.shape))==1){
gp <- gp + guides(shape="none")
}
}
gp <- gp + theme(legend.title=element_text(size=8,face="bold"),legend.text=element_text(size=6))
## facet by 'group' artificially added
if(length(ls_ig)>1){
if(is.null(ncolumns)){
ncolumns <- ceiling(sqrt(length(ls_ig)))
}
group <- NULL
gp <- gp + facet_wrap(~group, ncol=ncolumns)
gp <- gp + theme(strip.background=element_rect(fill="transparent",color="transparent"), strip.text=element_text(size=12,face="bold"), strip.placement="inside", panel.spacing=unit(0,"lines"))
}
if(sum(df$n.label=='')!=nrow(df)){
###########
StatNodes <- ggplot2::ggproto("StatNodes", ggplot2::Stat,
compute_layer = function(data, scales, params) {
if(all(c("xend", "yend") %in% names(data))) {
unique(subset(data, select = c(-xend, -yend)))
} else {
unique(data)
}
}
)
## my_geom_nodetext_repel
my_geom_nodetext_repel <- function (mapping = NULL, data = NULL, parse = FALSE, ..., box.padding = unit(0.25, "lines"), point.padding = unit(1e-06, "lines"), segment.size = 0.5, arrow = NULL, force = 1, max.iter = 2000, nudge_x = 0, nudge_y = 0, na.rm = FALSE, show.legend = F, inherit.aes = TRUE){
ggplot2::layer(data = data, mapping = mapping, stat = StatNodes,
geom = ggrepel::GeomTextRepel, position = "identity",
show.legend = show.legend, inherit.aes = inherit.aes,
params = list(parse = parse, na.rm = na.rm, box.padding = box.padding,
point.padding = point.padding,
segment.size = segment.size, arrow = arrow, force = force,
max.iter = max.iter, nudge_x = nudge_x, nudge_y = nudge_y,
...)
)
}
###########
n.label.size <- subset(df, is.na(na.y))$n.label.size
n.label.fontface <- subset(df, is.na(na.y))$n.label.fontface
n.label.color <- subset(df, is.na(na.y))$n.label.color
gp <- gp + my_geom_nodetext_repel(aes(label=n.label), lineheight=label.wrap.lineheight, size=n.label.size, color=n.label.color, fontface=n.label.fontface, alpha=node.label.alpha, box.padding=unit(0.5,"lines"), point.padding=unit(node.label.padding,"lines"), segment.alpha=0.2, segment.size=0.2, arrow=arrow(length=unit(node.label.arrow,'npc')), force=node.label.force)
}
####################
if(1){
df <- gp$data
na.y <- NULL
## append data_nodes
df_sub <- subset(df, is.na(na.y))
ind <- match(colnames(df_sub), c('na.x','na.y','e.color','edge.color','e.size'))
df_sub <- df_sub[,is.na(ind)]
df_sub <- df_sub[!duplicated(df_sub),]
gp$data_nodes <- df_sub
## append data_edges
df_sub <- subset(df, !is.na(na.y))
ind <- match(colnames(df_sub), c('x','y','xend','yend','e.color','edge.color','e.size'))
df_sub <- df_sub[,!is.na(ind)]
df_sub <- df_sub[!duplicated(df_sub),]
gp$data_edges <- df_sub
}
invisible(gp)
}
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