Description Usage Arguments Details Value Note Author(s) See Also Examples
Density, distribution function, quantile function and random generation for
the log uniform distribution in the interval from min
to max
.
Parameters must be raw values (not log-transformed) and will be
log-transformed using specified base
.
1 2 3 4 5 6 7 |
x |
Vector of quantiles. |
min |
Lower limit of the distribution, in raw (not log-transformed) values. Negative values will give warning. |
max |
Upper limit of the distribution, in raw (not log-transformed) values. Negative values will give warning. |
base |
The base to which logarithms are computed. Defaults to
|
q |
Vector of quantiles. |
p |
Vector of probabilities. |
n |
Number of observations. |
A log uniform (or loguniform or log-uniform) random variable has a uniform distribution when log-transformed.
dlunif
gives the density, plunif
gives the distribution
function, qlunif
gives the quantile function, and rlunif
generates random numbers.
Parameters min, max
must be provided as raw (not
log-transformed) values and will be log-transformed using base
. In
other words, when log-transformed, a log uniform random variable with
parameters min=a
and max=b
is uniform over the interval from
log(a)
to log(b)
.
Steve Wang scwang@swarthmore.edu
Distributions
for other standard distributions
1 2 3 4 5 6 7 8 9 10 | plot(1:100, dlunif(1:100, exp(1), exp(10)), type="l", main="Loguniform density")
plot(log(1:100), dlunif(log(1:100), log(1), log(10)), type="l",
main="Loguniform density")
plot(1:100, plunif(1:100, exp(1), exp(10)), type="l", main="Loguniform cumulative")
plot(qlunif(ppoints(100), exp(1), exp(10)), type="l", main="Loguniform quantile")
hist(rlunif(1000, exp(1), exp(10)), main="random loguniform sample")
hist(log(rlunif(10000, exp(1), exp(10))), main="random loguniform sample")
hist(log(rlunif(10000, exp(1), exp(10), base=10), base=10), main="random loguniform sample")
|
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