VertexData-class | R Documentation |
A set of arbitary vertices associated with a data table
The VertexData class provides a flexible way to associate arbitrary data with specific vertices in a brain surface. Unlike ROISurface and similar classes, VertexData does not require or maintain a reference to surface geometry, making it lighter and more versatile for storing and manipulating vertex-specific information.
This class is particularly useful for:
Storing heterogeneous data (different data types) associated with vertices
Maintaining analysis results like statistical outcomes for specific vertices
Tracking vertex-specific annotations or classifications
Creating lookup tables for vertex properties that can be joined with other data
The data
slot contains a data frame where each row corresponds to a vertex
in the same order as the indices
slot. This structure allows storing multiple attributes
of different types (numeric, character, logical) for each vertex, and facilitates
standard data frame operations like filtering, sorting, and joining.
indices
the node indices
data
the associated table with nrow(data) == length(indices)
# Create a set of vertex indices
vertex_indices <- c(10L, 25L, 50L, 100L, 200L)
# Create a data frame with information for each vertex
# Each row corresponds to one vertex in the same order as indices
vertex_data <- data.frame(
value = c(0.5, 1.2, 0.8, 1.5, 0.3),
label = c("A", "B", "A", "C", "B"),
significant = c(TRUE, FALSE, TRUE, TRUE, FALSE)
)
# Create the VertexData object
vd <- new("VertexData",
indices = vertex_indices,
data = vertex_data)
# Access the data
# vd@data$value
# vd@data$label[vd@data$significant]
# vd@indices[vd@data$label == "A"]
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