Visualize a network plot using the visNetwork package.
Usage
plotNetwork(
df_edges,
from_col = "from",
to_col = "to",
df_summary,
df_coverage,
color_no_test = c(background = "#fad1d0", border = "#9c0000", highlight = "#9c0000"),
color_with_test = c(background = "#e6ffe6", border = "#65a765", highlight = "#65a765"),
color_mod_coverage = c(background = "#FFD580", border = "#E49B0F", highlight =
"#E49B0F"),
moderate_coverage_range = c(0.2, 0.8),
show_in_shiny = FALSE,
network_title = NULL,
scale_node_size_by_degree = FALSE
)Arguments
- df_edges
A data frame containing columns "from" and "to" representing the edges of the network.
- from_col
Name of the column in df_edges representing the source nodes.
- to_col
Name of the column in df_edges representing the target nodes.
- df_summary
A summary dataframe containing the information about each function.
- df_coverage
a summary dataframe with function names and test coverages
- color_no_test
named vector with hexcodes for background, border and highlight
- color_with_test
named vector with hexcodes for background, border and highlight
- color_mod_coverage
named vector with hexcodes for background, border and highlight where coverage moderate
- moderate_coverage_range
vector of two values giving range defined as moderate coverage.
- show_in_shiny
logical scalar indicating whether to prepare/deploy the network using a built in shiny app. Default is
FALSE.- network_title
title of the network plot.
- scale_node_size_by_degree
Scale the node size by the degree centrality of the node.