Skip to contents

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

see method-specific documentation (e.g., melt.netify)

data frame with columns: var1, var2, value (and optionally time / layer). the var1 / var2 names are inherited from base r's as.data.frame.table / reshape2::melt heritage and are used by internal helpers (decompose_helpers, plot_homophily, etc.); rename them yourself downstream if you need snake_case (e.g. rlang::set_names(out, c("from", "to", "value", ...))). for a fully snake_case, dyad-attribute-merged edge frame, use unnetify() or as_tibble.netify() instead.

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 var1, var2, value

  • longitudinal: returns columns var1, var2, time, value

  • multilayer: returns columns var1, var2, layer, value (and time if longitudinal)

Author

cassy dorff, shahryar minhas