# plotCIsigmaP: Percentile Confidence Intervals for Simulated... In soilphysics: Soil Physical Analysis

## Description

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

## Usage

 ```1 2 3``` ```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 <anderson.agro@hotmail.com>

## See Also

`simSigmaP`, `sigmaP`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14``` ```# 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 Jan. 13, 2021, 7:06 p.m.