Apply Color Palette to Network

Apply a color palette for node and/or edge coloring.

Usage

sn_palette(network, palette, target = "nodes", by = NULL)

Arguments

network: A cograph_network object, matrix, data.frame, or igraph object. Matrices and other inputs are auto-converted.
palette: Palette name or function.
target: What to apply the palette to: "nodes", "edges", or "both".
by: Variable to map colors to (for nodes: column name or "group").

Value

Modified cograph_network object.

Details

Available Palettes

Use list_palettes() to see all available palettes. Common options:

viridis: Perceptually uniform, colorblind-friendly.
colorblind: Optimized for color vision deficiency.
pastel: Soft, muted colors.
bright: Saturated, vivid colors.
grayscale: Shades of gray.

You can also pass a custom palette function that takes n and returns n colors.

Examples

adj <- matrix(c(0, 1, 1, 1, 0, 1, 1, 1, 0), nrow = 3)

# Apply palette to nodes
cograph(adj) |> sn_palette("viridis") |> splot()


# Apply to edges
cograph(adj) |> sn_palette("colorblind", target = "edges") |> splot()

# Apply to both
cograph(adj) |> sn_palette("pastel", target = "both") |> splot()

# Custom palette function
my_pal <- function(n) rainbow(n, s = 0.7)
cograph(adj) |> sn_palette(my_pal) |> splot()

# Direct matrix input
adj |> sn_palette("viridis")
#> Cograph network: 3 nodes, 3 edges ( undirected )
#> Source: matrix 
#>   Nodes (3): 1, 2, 3
#>   Edges: 3 / 3 (density: 100.0%)
#>   Weights: [1.000, 1.000]  |  mean: 1.000
#>   Strongest edges:
#>     1 -- 2  1.000
#>     1 -- 3  1.000
#>     2 -- 3  1.000
#> Layout: set