RJSplot (version 2.7)

hiveplot_rjs: Produce interactive hive plot

Description

hiveplot_rjs creates an interactive hive plot.

Usage

hiveplot_rjs(links, nodes = NULL, group = NULL, size = NULL, color = NULL,
             cex = 1, plot = TRUE, jupyter = FALSE, dir = tempdir())

Arguments

links

an edge list table stored in a data frame with three possible columns (source node id, target node id and link value).

nodes

node attributes stored in a data frame with rownames as node id.

group

column name of nodes data frame which describes visualized axes.

size

column name of nodes data frame which describes each node size.

color

column name of nodes data frame which describes each node color.

cex

number indicating the amount by which plotting text and symbols should be scaled relative to the default.

plot

open resulting graph in your browser.

jupyter

embed the graph as an iframe into a Jupyter Notebook.

dir

a "character" string representing the directory where the graph will be saved.

Value

The function creates a folder in your computer with an HTML document named index.html which contains the graph. This file can be directly opened with your browser.

See Also

The ‘RJSplot’ Website: https://rjsplot.usal.es

dendrogram_rjs, densityplot_rjs, genomemap_rjs, heatmap_rjs, manhattan_rjs, network_rjs, scatterplot_rjs, symheatmap_rjs, wordcloud_rjs, boxplot_rjs, bubbles_rjs, hiveplot_rjs, piechart_rjs, barplot_rjs, tables_rjs, surface3d_rjs, scatter3d_rjs.

Examples

# NOT RUN {
## Create an interactive hive plot in a temporal directory of your local machine
## Live examples on https://rjsplot.usal.es

if(interactive()){
# Prepare data
x <- 1-cor(t(mtcars))

source <- rep(rownames(x),nrow(x))
target <- rep(rownames(x),rep(ncol(x),nrow(x)))
links <- data.frame(source=source,target=target,value=as.vector(x))

# Generate the hive plot
hiveplot_rjs(links, mtcars, group = "cyl", size = "wt", color = "carb")
}
# }