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Plot predictions for a FastRet model

Source: R/plot.R
plot_frm.Rd

Creates scatter plots of measured vs. predicted retention times (RT) for a FastRet Model (FRM). Supports plotting cross-validation (CV) predictions and fitted predictions on the training set, as well as their adjusted variants when the model has been adjusted via adjust_frm(). Coloring highlights points within 1 minute of the identity line and simple outliers.

Usage

plot_frm(frm = train_frm(verbose = 1), type = "scatter.cv", trafo = "identity")

Arguments

frm

An object of class frm as returned by train_frm().

type

Plot type. One of:

  • "scatter.cv": CV predictions for the training set

  • "scatter.cv.adj": CV predictions for the adjustment set (requires frm$adj)

  • "scatter.train": Model predictions for the training set

  • "scatter.train.adj": Adjusted model predictions for the adjustment set (requires frm$adj)

trafo

Transformation applied for display. One of:

  • "identity": no transformation

  • "log2": apply log2 transform to axes (metrics are computed on raw values)

Value

NULL, called for its side effect of plotting.

Examples

frm <- read_rp_lasso_model_rds()
plot_frm(frm, type = "scatter.cv")