Checks which chemical descriptors are suitable for linear models

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)