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Melt methods for netify objects

Source: R/melt_ers.R
melt.Rd

Convert netify matrices/arrays to long format data frames. These methods provide a consistent interface for melting different types of netify objects while leveraging C++ for performance.

Usage

melt(data, ...)

# S3 method for class 'netify'
melt(
  data,
  ...,
  remove_diagonal = TRUE,
  remove_zeros = TRUE,
  na.rm = TRUE,
  value.name = "value"
)

Arguments

data

A netify object

...

Additional arguments (see details)

remove_diagonal

Logical. Remove diagonal elements (default: TRUE)

remove_zeros

Logical. Remove zero values (default: TRUE)

na.rm

Logical. Remove NA values (default: TRUE)

value.name

Character. Name for value column (default: "value")

Value

Data frame with columns: row, col, value (and optionally time/layer)

Details

The melt method converts netify objects from their matrix representation to a long format data frame suitable for analysis and visualization. The output format depends on the type of netify object:

  • Cross-sectional: Returns columns row, col, value

  • Longitudinal: Returns columns row, col, time, value

  • Multilayer: Returns columns row, col, layer, value (and time if longitudinal)