multi_logNormal: Calculate Log-Normal Distribution(s) or Peak(s)

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

Description

Calculate Log-Normal Distribution(s) or Peak(s)

Usage

multi_logNormal(x, mus, sigmas, probDensity, returnComponentPks = FALSE, ks)

Arguments

x	A vector of x-coordinates from which the corrisponding y-coordinates are calculated
mus	A vector of mean values
sigmas	A vector of standard deviations
probDensity	Should the function produce probability distributions 'TRUE' with integrated area from min(x) to max(x) equal to 1 or produce log-normal peaks 'FALSE' with amplitudes ks? default is 'TRUE'.
returnComponentPks	Should the function return a single vector containing the sum of each individual peak 'FALSE' or a data.frame containing the input vector 'x', each component peak 'peak_n', and the summed result of the component peaks 'peak_sum'. The default is FALSE.
ks	A vector of amplitudes for the log-normal peaks. Only used when 'probDensity == FALSE'

Value

returns either a single vector of y-coordinates the same length as x or a data.frame

Examples

#Log-Normal Probability Distribution from multiple peaks
xVec <- seq(from = 1, to = 100, by = 0.1)
pdist <- multi_logNormal(x = xVec,
                         mus = c(20, 40, 60),
                         sigmas = c(1, 1, 1),
                         probDensity = TRUE,
                         returnComponentPks = FALSE)

pdist_components <- multi_logNormal(x = xVec,
                                    mus = c(20, 40, 60),
                                    sigmas = c(1, 1, 1),
                                    probDensity = TRUE,
                                    returnComponentPks = TRUE)

plot(x = xVec, y = pdist)
plot(x = pdist_components$x, y = pdist_components$peak_sum)
points(x = pdist_components$x, y = pdist_components$peak_1, col = "red")
points(x = pdist_components$x, y = pdist_components$peak_2, col = "blue")
points(x = pdist_components$x, y = pdist_components$peak_3, col = "green")

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