von_mises_sim | R Documentation |
Generates simulated data over the interval [0; 1] from a scaled Von Mises distribution with noise.
von_mises_sim(n = 5000, k = 1, c = 0.3, noise = 0.2)
n |
number of random variates in the simulated data set. |
k |
concentration parameter κ of the Von Mises distribution. |
c |
the point of truncation of the Von Mises distribution. The value of c represent that value in the interval [0; c] and [1-c; 1] where the Von Mises density is remove, i.e. f(θ) = 0 for θ \in [0 ; c] and θ \in [1-c ; 1] where f(θ) is the Von Mises density function. |
noise |
proportion of random noise to include in the simulated data set. If |
The output vector of this function is n random variates in the interval [0; 1] from a scaled Von Mises density with uniform noise proportional to noise
.
Willem Daniel Schutte
Jammalamadaka, S. Rao and SenGupta, A. (2001). Topics in Circular Statistics, World Scientific Publishing Co. Pte. Ltd.
Robert CP, Casella G (2010). Introducing Monte Carlo methods with R. Springer.
Schutte WD (2014). Nonparametric estimation of the off-pulse interval(s) of a pulsar light
curve. Ph.D. thesis, North-West University. URL http://hdl.handle.net/10394/12199
pvonmises
set.seed(777) simdata<-von_mises_sim(n=5000,k=1,c=0.3,noise=0.2) hist(simdata) SOPIE(simdata,h=1,to=1,alpha=0.05,g=5,r=10,m=1,grid=100)
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