check_lm_suitability: Checks which chemical descriptors are suitable for linear...

View source: R/prepro.R

check_lm_suitabilityR Documentation

Checks which chemical descriptors are suitable for linear models

Description

This function checks which chemical descriptors are suitable for use in linear model. Chemical descriptors with missing values, near-zero variance or strong outlier values are considered as not suitable.

Usage

check_lm_suitability(df = read_retip_hilic_data(), verbose = FALSE, nw = 2)

Arguments

df

Input data for performing the analysis. Must be a data frame with columns NAME, RT and SMILES.

verbose

A logical value indicating whether to print verbose output.

nw

The number of workers to use for parallel processing.

Value

A data frame with the predictors and their suitability status.

See Also

plot_lm_suitability()

Examples

x <- check_lm_suitability(head(RP, 3), verbose = FALSE, nw = 1)

FastRet documentation built on June 25, 2024, 5:07 p.m.