somhca (version 0.1.3)

readMatrix: Read a CSV File and Convert to a Matrix

Description

Reads data from a CSV file, optionally removes row headings, and applies specified normalization methods before converting the data to a matrix. In the original dataset, rows represent observations (e.g., samples), columns represent variables (e.g., features), and all cells (except for column headers and, in case, row headers) only contain numeric values.

Usage

readMatrix(file_path, remove_row_headings = FALSE, scaling = "no")

Value

A matrix with the processed data.

Arguments

file_path

A string specifying the path to the CSV file.

remove_row_headings

A logical value. If `TRUE`, removes the first column of the dataset. This is useful when the first column contains non-numeric identifiers (e.g., sample names) that should be excluded from the analysis. Default is `FALSE`.

scaling

A string specifying the scaling method. Options are:

"no"

No scaling is applied (default).

"SimpleFeature"

Each column is divided by its maximum value.

"MinMax"

Each column is scaled to range [0, 1].

"ZScore"

Each column is Z-score standardized.

Examples

# Load the toy data from the package's inst/extdata/ directory
file_path <- system.file("extdata", "toy_data.csv", package = "somhca")

# Run the readMatrix function with the mock data
myMatrix <- readMatrix(file_path, TRUE, "MinMax")