plotCIsigmaP: Percentile Confidence Intervals for Simulated...

In soilphysics: Soil Physical Analysis

Percentile Confidence Intervals for Simulated Preconsolidation Stress

Description

Build and plot percentile confidence intervals for preconsolidation stress simulated from simSigmaP.

Usage

plotCIsigmaP(msim, conf.level = 0.95, shade.col = "orange", 
	ordered = TRUE, xlim = NULL, xlab = expression(sigma[P]), 
	las = 1, mar = c(4.5, 6.5, 2, 1), ...)

Arguments

msim	an object of class "simSigmaP".
conf.level	the confidence level for the intervals.
shade.col	a character or number indicating the color of the shaded area delimiting each CI. See colors.
ordered	logical; should the intervals be displayed according to the value of the simulated mean?
xlim	optional; a numeric vector of length two containing the limits of the x-axis.
xlab	optional; a character indicating the x-axis label.
las	optional; see par.
mar	optional; see par.
...	further graphical parameters; see par.

Value

A numeric matrix containing the simulated mean, coefficient of variation, lower and upper CI limits and the name of the method used to calculate the preconsolidation stress.

Author(s)

Anderson Rodrigo da Silva <[e-mail]>

See Also

simSigmaP, sigmaP

Examples

# input data: stress and void ratio
pres <- c(1, 12.5, 25, 50, 100, 200, 400, 800, 1600)
VR <- c(1.43, 1.41, 1.40, 1.39, 1.35, 1.31, 1.25, 1.18, 1.12)

# simulation (may take a few seconds)
simres <- simSigmaP(VR, pres, nsim = 30)
head(simres)

# percentile confidence intervals
ci <- plotCIsigmaP(simres, conf.level = 0.95, 
	shade.col = "blue", ordered = TRUE)
print(ci)

# End (Not run)

soilphysics documentation built on June 7, 2022, 5:06 p.m.