check_lm_suitability {FastRet} | R 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
Examples
x <- check_lm_suitability(head(RP, 3), verbose = FALSE, nw = 1)
[Package FastRet version 1.1.3 Index]