func_logNormal: Calculate Log-Normal Distribution or Log-Gaussian Peak

In pmbrophy/SummitR: Provides a set of tools for peak fitting

Description

Calculates either a log-normal distribution with an integrated area of 1 or a log-normal peak with amplitude k

Usage

func_logNormal(x, mu, sigma, probDensity = TRUE, k)

Arguments

x	a vector of x-coordinates from which the corrisponding y-coordinates are calculated
mu	location of apex
sigma	the standard deviation
probDensity	Should the function produce a probability density function 'TRUE' or a gaussian peak 'FALSE' with amplitude k? default is 'TRUE'.
k	Amplitude of the peak multiplied by 1/x to form pre-exponential term. Only used when 'probDensity == FALSE'

Value

a vector of y-coordinates the same length as x

Examples

#log-normal distribution
xVec <- seq(from = 1, to = 100, by = 0.1)
pdensity <- func_logNormal(x = xVec, mu = 10, sigma = 1, probDensity = TRUE)
p1 <- plot(x = xVec, y = pdensity)

#log-normal peak
gpeak <- func_logNormal(x = xVec, mu = 10, sigma = 1, probDensity = FALSE, k = 10)
p2 <- plot(x = xVec, y = gpeak)

pmbrophy/SummitR documentation built on May 20, 2020, 12:36 a.m.