Nothing
###########################################################################
# ART STUDIO
# graph visualization
###########################################################################
# igraph ------------------------------------------------------------------
#' make igraph
#'
#' @param mapperobject mapper object generated by mappeR
#'
#' @return an igraph object
#' @export
#' @examples
#' data = data.frame(x = sapply(1:100, function(x) cos(x)), y = sapply(1:100, function(x) sin(x)))
#'
#' projy = data$y
#'
#' cover = create_width_balanced_cover(min(projy), max(projy), 10, 25)
#'
#' mapperobj = create_1D_mapper_object(data, dist(data), data$y, cover)
#'
#' mapper_object_to_igraph(mapperobj)
mapper_object_to_igraph <- function(mapperobject) {
vertices = mapperobject[[1]]
edges = mapperobject[[2]]
# deal with edgeless graphs
if (length(edges$source) <= 1 & any(edges$source == "")) {
mappergraph = graph_from_data_frame(d = data.frame(id = rownames(vertices), id = rownames(vertices)),
vertices = vertices)
mappergraph = delete_edges(mappergraph, E(mappergraph))
} else {
mappergraph = graph_from_data_frame(d = edges,
directed = FALSE,
vertices = vertices)
}
# don't label nodes
mappergraph = set_vertex_attr(mappergraph, "label", value = NA)
# set node size to square root of cluster size
mappergraph = set_vertex_attr(mappergraph, "size", value = sqrt(vertices$cluster_size))
# color nodes if binning
if ("bin" %in% colnames(vertices)) {
num_bins = max(vertices$bin)
colfunc = colorRampPalette(c("blue", "gold", "red"))
mappergraph = set_vertex_attr(mappergraph,
"color",
value = sapply(vertices$bin, function(x)
colfunc(num_bins)[x]))
}
return(mappergraph)
}
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