ODT (version 1.0.0)

niceTree: niceTree function

Description

A graphical display of the tree. It can also be saved as an image in the selected directory.

Usage

niceTree(
  tree,
  folder = NULL,
  colors = c("", "#367592", "#39A7AE", "#96D6B6", "#FDE5B0", "#F3908B", "#E36192",
    "#8E4884", "#A83333"),
  fontname = "Roboto",
  fontstyle = "plain",
  shape = "diamond",
  output_format = "png"
)

Value

(Invisibly) returns a list. The representation of the tree in the command window and the plot of the tree.

Arguments

tree

A party of the trained tree with the treatments assigned to each node.

folder

Directory to save the image (default is the current working directory).

colors

A vector of colors for the boxes. Can include hex color codes (e.g., "#FFFFFF").

fontname

The name of the font to use for the text labels (default is "Roboto").

fontstyle

The style of the font (e.g., "plain", "italic", "bold").

shape

The format of the boxes for the different genes (e.g., "diamond", "box").

output_format

The image format for saving (e.g., "png", "jpg", "svg", "pdf").

Details

• The user has already defined a style for the plot; the parameters are set if not modified when calling niceTree.

Examples

# \donttest{
  # Basic example of how to perform niceTree:
  data("mutations_w12")
  data("drug_response_w12")
  ODTmut <- trainTree(PatientData = mutations_w12,
                       PatientSensitivity = drug_response_w12, minbucket = 10)
  niceTree(ODTmut)

  # Example for plotting the tree trained for gene expressions:
  data("expression_w34")
  data("drug_response_w34")
  ODTExp <- trainTree(PatientData = expression_w34,
                       PatientSensitivity = drug_response_w34, minbucket = 20)
  niceTree(ODTExp)
# }