Description Usage Arguments Value Examples
View source: R/PeakFunctions_multi_pseudoVoigt.R
Calculates the linear combination of gaussian and lorentzian peaks with normalization factor
1 | multi_pseudoVoigt(x, sigmas, gammas, mus, probDensity, ks, returnComponentPks)
|
x |
a vector of x-coordinates from which the corrisponding y-coordinates are calculated |
sigmas |
the standard deviation of the gaussian |
gammas |
the lorentzian scale parameter specifying the half-width at half-maximum (HWHM) |
mus |
the mean |
probDensity |
Should the function produce a probability density function 'TRUE' a peak 'FALSE' with amplitude k? default is 'TRUE'. |
ks |
Amplitude of the peak. Only used when 'probDensity == FALSE' |
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. |
a vector of y-coordinates the same length as x
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | #Pseudo-Voigt Probability Distribution from multiple peaks
xVec <- seq(from = 1, to = 100, by = 0.1)
pdist <- multi_pseudoVoigt(x = xVec,
mus = c(20, 40, 60),
sigmas = c(1, 1, 1),
gammas = c(1,2,1.5),
probDensity = TRUE,
returnComponentPks = FALSE)
pdist_components <- multi_pseudoVoigt(x = xVec,
mus = c(20, 40, 60),
sigmas = c(1, 1, 1),
gammas = c(1,2,1.5),
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")
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.