| simSigmaP | R Documentation | 
Simulating preconsolidation pressure, compression and swelling indices, based on a multivariate Gaussian distribution for the parameters of the compression curve.
simSigmaP(voidratio, stress,
	what.out = c("sigmaP", "CI", "SI"),
	method = c("casagrande", "VCLzero", "reg1", "reg2", "reg3", "reg4", "pacheco"),
	n4VCL = 3, nsim = 100)
voidratio | 
 a numeric vector containing void ratio (or bulk density) values.  | 
stress | 
 a numeric vector containing the applied stress sequence.  | 
what.out | 
  a character indicating which   | 
method | 
 a character vector indicating which methods should be used.  | 
n4VCL | 
 the number of points for calculating the slope of the soil Virgin Compression Line (VCL), which is obtained by linear regression. Default is 3.  | 
nsim | 
 the number of simulations. Default is 100. Warning: it may cause time demanding.  | 
A numeric matrix containing the simulated values for each method selected as input.
Anderson Rodrigo da Silva <anderson.agro@hotmail.com>
sigmaP, plotCIsigmaP
# 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) # plot percentile confidence intervals ci <- plotCIsigmaP(simres, conf.level = 0.95, shade.col = "blue", ordered = TRUE) print(ci) # End (Not run)
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