Automatic Plot for SEC Results

Creates a ggplot2 visualization appropriate for SEC/GPC analysis results. Automatically selects the best plot type based on available data, or allows explicit selection via the type argument.

Usage

# S3 method for class 'sec_results'
autoplot(
  object,
  type = c("auto", "chromatogram", "mwd", "conformation", "composition"),
  overlay_mw = TRUE,
  detectors = c("ri", "uv", "mals"),
  log_scale = c("x", "none", "y", "both"),
  ...
)

Arguments

object

An sec_results object created by sec_results().

type

Type of plot to create. One of:

• "auto": Automatically detect best plot type (default)

• "chromatogram": Basic chromatogram (signal vs time)

• "mwd": Molecular weight distribution

• "conformation": Rg-MW or eta-MW scaling plot

• "composition": UV/RI ratio or composition plot

overlay_mw

Logical. For chromatogram plots, overlay molecular weight on secondary y-axis? Default is TRUE when MW data is available.

detectors

Character vector of detector columns to plot for multi-detector overlays. Default is c("ri", "uv", "mals").

log_scale

Character. Apply log scale to axes. Options:

• "x": Log scale on x-axis (default for MWD plots)

• "y": Log scale on y-axis

• "both": Log scale on both axes

• "none": No log scaling

...

Additional arguments passed to the underlying plot function.

Value

A ggplot2 object.

Details

When type = "auto" (default), the plot type is selected based on available data:

1. If mw column present: MWD plot

2. If multiple detectors: Multi-detector overlay

3. Otherwise: Basic chromatogram

The resulting ggplot2 object can be further customized with standard ggplot2 functions like + theme_bw() or + labs().

See also

Other sec-visualization: plot_sec(), plot_sec_calibration(), plot_sec_chromatogram(), plot_sec_composition(), plot_sec_conformation(), plot_sec_multidetector(), plot_sec_mwd(), sec_results()

Examples

if (FALSE) { # \dontrun{
library(ggplot2)

# Create sec_results object
results <- sec_results(processed_sec_data)

# Auto-detect best plot type
autoplot(results)

# Specific plot types
autoplot(results, type = "chromatogram")
autoplot(results, type = "mwd", show_averages = TRUE)
autoplot(results, type = "conformation")

# Customize with ggplot2
autoplot(results, type = "mwd") +
  theme_classic() +
  labs(title = "Molecular Weight Distribution")
} # }