step1_plot_CI: Plot Confidence Intervals

In AccelStab: Accelerated Stability Kinetic Modelling

Plot Confidence Intervals

Description

Plot the stability data and visualise the predictions with confidence intervals.

Usage

step1_plot_CI(
  step1_down_object,
  xname = NULL,
  yname = NULL,
  xlim = NULL,
  ylim = NULL,
  ribbon = FALSE
)

Arguments

step1_down_object	The fit object from the step1.down function (required).
xname	Label for the x-axis (optional).
yname	Label for the y-axis (optional).
xlim	x-axis limits (optional).
ylim	y-axis limits (optional).
ribbon	Add shade to confidence intervals (optional).

Details

Use the fit object obtained from the step1.down function to plot the data and visualise the predictions with confidence intervals applied. There is an option to view the confidence intervals as a ribbon. The confidence interval value is chosen in the step1.down function.

Value

Plot of stability data with prediction curves and confidence intervals.

Examples

#load antigenciity data
data(antigenicity)

#run step1.down fit
fit1 <- step1_down(data = antigenicity, y = "conc", .time = "time",
 C = "Celsius", max_time_pred = 3, confidence_interval = 0.9, validation = "validA")

#plot raw data with prediction curves and confidence intervals.
step1_plot_CI(step1_down_object = fit1, xlim = NULL, ylim = NULL,
 xname = "Time (Years)", yname = "Concentration", ribbon = TRUE)

AccelStab documentation built on April 3, 2025, 11:06 p.m.