niceTree {ODT} | R Documentation |
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"
)
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.
Value
(Invisibly) returns a list. The representation of the tree in the command window and the plot of the tree.
Examples
# 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)