Generates random amounts with a multivariate lognormal distribution, or gives the density of that distribution at a given point.
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number of datasets to be simulated
the mean-vector of the logs
the variance/covariance matrix of the logs
vectors in the sample space
rlnorm.rplus gives a generated random dataset of class
"rplus" following a
lognormal distribution with logs having mean
dlnorm.rplus gives the density of the distribution with respect
to the Lesbesgue measure on R+ as a subset of R.
The main difference between
is that rlnorm.rplus needs a logged mean. The additional difference
for the calculation of the density by
dnorm.aplus is the reference measure (a log-Lebesgue one in the
K.Gerald v.d. Boogaart http://www.stat.boogaart.de, Raimon Tolosana-Delgado
Aitchison, J. (1986) The Statistical Analysis of Compositional
Data Monographs on Statistics and Applied Probability. Chapman &
Hall Ltd., London (UK). 416p.
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