predict.frm: Predict retention times using a FastRet Model

In FastRet: Retention Time Prediction in Liquid Chromatography

Predict retention times using a FastRet Model

Description

Predict retention times for new data using a FastRet Model (FRM).

Usage

## S3 method for class 'frm'
predict(object = train_frm(), df = object$df, adjust = NULL, verbose = 0, ...)

Arguments

object	An object of class frm as returned by train_frm().
df	A data.frame with the same columns as the training data.
adjust	If object was adjusted using adjust_frm(), it will contain a property object$adj. If adjust is TRUE, object$adj will be used to adjust predictions obtained from object$model. If FALSE object$adj will be ignored. If NULL, object$model will be used, if available.
verbose	A logical value indicating whether to print progress messages.
...	Not used. Required to match the generic signature of predict().

Value

A numeric vector with the predicted retention times.

See Also

train_frm(), adjust_frm()

Examples

frm <- read_rp_lasso_model_rds()
newdata <- head(RP)
yhat <- predict(frm, newdata)

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