| pdf.plot {gamlss} | R Documentation |
A function to plot probability distribution functions (pdf) belonging to the gamlss family of distributions. This function allows either plotting of the fitted distributions for up to eight observations or plotting specified distributions belonging in the gamlss family
pdf.plot(obj = NULL, obs = c(1), family = NO(), mu = NULL,
sigma = NULL, nu = NULL, tau = NULL, min = NULL,
max = NULL, step = NULL, allinone = FALSE,
no.title = FALSE, ...)
obj |
An gamlss object e.g. |
obs |
A number or vector of up to length eight indicating the case numbers of the observations for which fitted distributions are to be displayed, e.g. |
family |
This must be a gamlss family i.e. |
mu |
The value(s) of the location parameter mu for which the distribution has to be evaluated e.g |
sigma |
The value(s) the scale parameter sigma for which the distribution has to be evaluated e.g |
nu |
The value(s) the parameter nu for which the distribution has to be evaluated e.g. |
tau |
The value(s) the parameter tau for which the distribution has be evaluated e.g. |
min |
Minimum value of the random variable y e.g. |
max |
Maximum value of y e.g. |
step |
Steps for the evaluation of y e.g. |
allinone |
This will go |
no.title |
Whether you need title in the plot, default is |
... |
for extra arguments |
This function can be used to plot distributions of the GAMLSS family.
If the first argument obj is specified and it is a GAMLSS fitted object, then the fitted distribution of this model
at specified observation values (given by the second argument obs) is plotted for a specified y-variable range (arguments
min, max, and step).
If the first argument is not given then the family argument has to be specified and the pdf is plotted at specified values of the parameters
mu, sigma, nu, tau. Again the range of the y-variable has to be given.
plot(s) of the required pdf(s) are returned
The range of some distributions depends on the fitted parameters
The range of the y values given by min, max and step are very important in the plot
Mikis Stasinopoulos mikis.stasinopoulos@gamlss.org and Calliope Akantziliotou
Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), Appl. Statist., 54, part 3, pp 507-554.
Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, http://www.jstatsoft.org/v23/i07.
Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC.
(see also http://www.gamlss.org/).
pdf.plot(family=BCT, min=1, max=20, step=.05, mu=10, sigma=0.15, nu=-1, tau=c(4,10,20,40) ) # now using an gamlss object # library(gamlss) #data(abdom) #h<-gamlss(y~pb(x), sigma.formula=~pb(x), family=BCT, data=abdom) # fits #pdf.plot(obj=h , obs=c(23,67), min=50, max=150, step=.5)