plot_SynergyLMM: Plotting SynergyLMM results

In SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies

Plotting SynergyLMM results

Description

Generic function to generate different types of plots based on SynergyLMM outputs.

Usage

plot_SynergyLMM(object, plot_type = "lmmModel", ...)

Arguments

object	An object generated by lmmModel() or lmmSynergy() functions.
plot_type	String indicating the type of plot to generate. Possible options include: "lmmModel" for plotting of tumor growth data from a fitted model. "lmmSynergy" for plotting synergy results. "ObsvsPred" for generating plots of Observed vs Predicted Values. "ranefDiagnostics" for plots of random effects diagnostics. "residDiagnostics" for plots of residual diagnostics.
...	Additional arguments passed to the specific plot function.

Value

Different output plots are produced depending on the plot_type selected.

See Also

plot_lmmModel(), plot_lmmSynergy(), plot_ObsvsPred(), plot_ranefDiagnostics(), plot_residDiagnostics().

Examples

data(grwth_data)
# Fit the model
lmm <- lmmModel(
  data = grwth_data,
  sample_id = "subject",
  time = "Time",
  treatment = "Treatment",
  tumor_vol = "TumorVolume",
  trt_control = "Control",
  drug_a = "DrugA",
  drug_b = "DrugB",
  combination = "Combination",
  show_plot = FALSE
  )
  
# Plot lmmModel
plot_SynergyLMM(lmm, plot_type = "lmmModel",
trt_control = "Control",
drug_a = "DrugA",
drug_b = "DrugB",
combination = "Combination"
)

# Plot ObsvsPred
plot_SynergyLMM(lmm, plot_type = "ObsvsPred")

# Plot ranefDiagnostics
plot_SynergyLMM(lmm, plot_type = "ranefDiagnostics")

# Plot residDiagnostics
plot_SynergyLMM(lmm, plot_type = "residDiagnostics")

# Plot lmmSynergy
lmmSyn <- lmmSynergy(lmm)
plot_SynergyLMM(lmmSyn, plot_type = "lmmSynergy")

SynergyLMM documentation built on April 4, 2025, 4:13 a.m.