(swfunc-pvoigt)=

# swfunc.pvoigt

## Syntax
  
`y = func.pvoigt(x,p)`
  
## Description
  
`y = func.pvoigt(x,p)` calculates the $y$ values for a pseudovoigt
function evaluated at $x$ and with parameters defined in `p`. The
Gaussian and Lorentzian functions are normalized to amplitude 1 before
the mixing.
  
## Input Arguments
  
`x`
: Coordinate vector where the function will be evaluated.
  
`p`
: Parameter vector with the following elements `p=[A x0 wG wL mu]` where:
  * `A`       amplitude of the signal,
  * `x0`      center of the peak,
  * `wG`      FWHM value of the Gaussian, has to be positive,
  * `wL`      FWHM value of the Lorentzian, has to be positive,
  * `mu`      mixing constant, `mu=1` for pure Lorenzian, `mu=0` for pure
              Gaussian, the value has to be within the $(0,1)$ range.
  
## See Also
  
[swfunc.gaussfwhm](#swfunc-gaussfwhm) \| [swfunc.lorfwhm](#swfunc-lorfwhm) \| [swfunc.voigtfwhm](#swfunc-voigtfwhm)
 
*[FWHM]: Full Width at Half Maximum