vpart: Data partitioning utility

In Morphonodepredictivemodel/morphonode: The Morphonode Predictive Model for ultrasound signatures detection and malignancy prediction in vulvar cancer

Data partitioning utility

Description

Extract a random partition from an input dataset.

Usage

vpart(data, p, shuffle = FALSE, ...)

Arguments

data	An input data.frame.
p	Proportion of rows to be extracted from the input dataset.
shuffle	A logical value. If TRUE, the input rows are randomly shuffled before data partitioning.
...	Currently ignored.

Value

A list of 2 data.frames:

1. "training.set", the portion of the input data defined by p;

2. "validation.set", the portion of the input data defined by 1-p.

Author(s)

Fernando Palluzzi [e-mail]

See Also

buildPredictor,

Examples

# Extract a subset of 300 subjects and an outcome vector of length 30 
# from the default simulated dataset

x <- mosaic::sample(mpm.us, 300, replace = FALSE, prob = NULL)

# Data partitioning

x <- vpart(x, p = 0.75)
print(dim(x$training.set))
print(dim(x$validation.set))

Morphonodepredictivemodel/morphonode documentation built on Feb. 15, 2023, 4:51 a.m.