func_expGaussian: Calculate an Exponentially Modified Gaussian Probability...
In pmbrophy/SummitR: Provides a set of tools for peak fitting

Description Usage Arguments Value Examples

View source: R/PeakFunctions_func_expGaussian.R

Calculate an Exponentially Modified Gaussian Probability Density or Peak

1	func_expGaussian(x, mu, sigma, lambda, probDensity = TRUE, k)

`x`	a vector of x-coordinates from which the corrisponding y-coordinates are calculated
`mu`	the mean of the gaussian component
`sigma`	the standard deviation of the gaussian component
`lambda`	rate parameter of the exponential component
`probDensity`	Should the function return a probability density 'TRUE' or an exponentially modified gaussian peak 'FALSE' with amplitude k? default is 'TRUE'.
`k`	Amplitude of the gaussian peak. Only used when 'probDensity == TRUE'

a vector of y-coordinates the same length as x

#Probability density of exponentially modified gaussian
xVec <- seq(from = 1, to = 100, by = 0.1)
pdist <- func_expGaussian(x = xVec, mu = 10, sigma = 1, lambda = 0.2, probDensity = TRUE)
plot(x = xVec, y = pdist)

#Exponentially modified gaussian peak
gpeak <- func_expGaussian(x = xVec, mu = 10, sigma = 1, lambda = 0.2, probDensity = FALSE, k = 10)
plot(x = xVec, y = gpeak)