Description Usage Arguments Value Author(s) References See Also Examples
Creates a function to generate randon values from a truncated probability density function created from a current GAMLSS family distribution
For continuous distributions left truncation at 3 means that the random variable can take the value 3. For discrete distributions left truncation at 3 means that the random variable can take values from 4 onwards. This is the same for right truncation. Truncation at 15 for a discrete variable means that 15 and greater values are not allowed but for continuous variable it mean values greater that 15 are not allowed (so 15 is a possible value).
1 |
par |
a vector with one (for |
family |
a |
type |
whether |
... |
for extra arguments |
Returns a r family function
Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk and Bob Rigby r.rigby@londonmet.ac.uk
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. and Akantziliotou C. (2003) Instructions on how to use the GAMLSS package in R. Accompanying documentation in the current GAMLSS help files, (see also http://www.gamlss.com/).
trun.p
, trun.q
, trun.d
, gen.trun
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | # trucated r function
# continuous
#----------------------------------------------------------------------------------------
# left
test1<-trun.r(par=c(0), family="TF", type="left")
rr<-test1(1000)
hist(rr)
#----------------------------------------------------------------------------------------
# right
test2 <- trun.r(par=c(10), family="BCT", type="right")
rr<-test2(1000)
hist(rr)
#----------------------------------------------------------------------------------------
# both
test3<-trun.r(par=c(-3,3), family="TF", type="both")
rr<-test3(1000)
hist(rr)
#----------------------------------------------------------------------------------------
# discrete
# trucated r function
# left
test1<-trun.r(par=c(0), family="PO", type="left")
tN <- table(Ni <- test1(1000))
r <- barplot(tN, col='lightblue')
#----------------------------------------------------------------------------------------
# right
test2 <- trun.r(par=c(10), family="NBI", type="right")
tN <- table(Ni <- test2(1000))
r <- barplot(tN, col='lightblue')
tN <- table(Ni <- test2(1000,mu=5))
r <- barplot(tN, col='lightblue')
tN <- table(Ni <- test2(1000,mu=10, sigma=.1))
r <- barplot(tN, col='lightblue')
#----------------------------------------------------------------------------------------
# both
test3<-trun.r(par=c(0,10), family="NBI", type="both")
tN <- table(Ni <- test3(1000,mu=5))
r <- barplot(tN, col='lightblue')
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