RSA3DLognormFromData: RSA3DLognormFromData

In ComputationalIntelligenceGroup/3DSynapsesSA: 3DsynapsesSA: Three-dimensional distribution analyzer

Description

Creates a RSA simulation with log-normal feret diameters

Usage

RSA3DLognormFromData(feretDiam, realSample, plot = FALSE,
  singleSample = FALSE, replicated = FALSE, lambdaRPP = 0, volume = 0,
  color = "violet", mu = -1, sigma = -1, maxIter = 10)

Arguments

feretDiam	A numeric vector. Sample feret diameters
realSample	A dataframe. Spatial coordinates (X,Y,Z) of the synapses
plot	A boolean value. If true, simulation is plotted before return
singleSample	A boolean value. If true, "Feret" colum from real sample is used insted of feretDiam
replicated	A boolean value. If true, number of points is computed as the volume * lambdaRPP
lambdaRPP	A numeric value. Simulation Intesity (synaptic density) parameter
volume	A numeric value. Simulation (cubic) volume.
color	Synapses plot color. Only applies if plot is True
mu	A numeric value. Log mean parameter for the Feret's diameter log-normal distribution
maxIter	An integer. Maximum number of trials before failure.
sdl	A numeric value. Log std parameter for the Feret's diameter log-normal distribution

Details

Create a RSA simulation replicating the given sample or using the parameters given.

Domain is always cubic. If volume is not provided, sample volume is used. Same applies to parameters. If replicated is true, number of points is calculated as the product of volume and lambdaRPP, if not, the simulation will have the same number of points as the sample.

Value

A named list: spp <- 3D spatial process, diam <- ferets diameters, ml,sdl <- feret's diams params

ComputationalIntelligenceGroup/3DSynapsesSA documentation built on May 6, 2019, 12:49 p.m.