edit_nodes {FFTrees}

Edit nodes in an FFT definition

Description

edit_nodes allows manipulating one or more nodes from an existing FFT definition (in the tidy data frame format).

edit_nodes allows to directly set and change the value(s) of class, cue, direction, threshold, and exit, in an FFT definition for the specified nodes.

There is only rudimentary verification for plausible entries. Importantly, however, as edit_nodes is ignorant of data, the values of its variables are not validated for a specific set of data.

Repeated changes of a node are possible (by repeating the corresponding integer value in nodes).

Usage

edit_nodes(
  fft,
  nodes = NA,
  class = NA,
  cue = NA,
  direction = NA,
  threshold = NA,
  exit = NA,
  quiet = FALSE
)

Arguments

fft

One FFT definition (as a data frame in tidy format, with one row per node).

nodes

The FFT nodes to be edited (as an integer vector). Default: nodes = NA.

class

The class values of nodes (as character).

cue

The cue names of nodes (as character).

direction

The direction values of nodes (as character).

threshold

The threshold values of nodes (as character).

exit

The exit values of nodes (as values from exit_types).

quiet

Hide feedback messages (as logical)? Default: quiet = FALSE.

Value

One FFT definition (as a data frame in tidy format, with one row per node).

See Also

add_nodes for adding nodes to an FFT definition; drop_nodes for deleting nodes from an FFT definition; flip_exits for reversing exits in an FFT definition; reorder_nodes for reordering nodes of an FFT definition; select_nodes for selecting nodes in an FFT definition; get_fft_df for getting the FFT definitions of an FFTrees object; read_fft_df for reading one FFT definition from tree definitions; add_fft_df for adding FFTs to tree definitions; FFTrees for creating FFTs from and applying them to data.

Other tree definition and manipulation functions: add_fft_df(), add_nodes(), drop_nodes(), flip_exits(), get_fft_df(), read_fft_df(), reorder_nodes(), select_nodes(), write_fft_df()