validateAndLoadData: Validate and load data

In audrina/pcclust: PCA Analysis and Visualization for Clustering

Description

Validate input type and load data into data frame.

Usage

validateAndLoadData(data, isFile = FALSE, scaled = TRUE)

Arguments

data	a numerical R matrix or data frame.
isFile	if TRUE, data accepts a path to a file containing numeric multidimensional data. FALSE by default.
scaled	if TRUE, use Z-score standardization so that outliers aren"t weighted less. TRUE by default.

Details

Supported input types:

• R numerical matrix or data frame

• a wide range of file formats (refer to https://github.com/leeper/rio for a full list of supported formats)

Value

Centered scaled R matrix with loaded data.

See Also

import

Examples

irisCSV <- system.file("extdata", "iris.csv", package = "pcclust")
data <- validateAndLoadData(irisCSV, isFile = TRUE)

audrina/pcclust documentation built on May 31, 2019, 12:44 a.m.