Otlog | R Documentation |
Density, distribution function, quantile function, and random generation for the one-truncated logarithmic distribution.
dotlog(x, shape, log = FALSE)
potlog(q, shape, log.p = FALSE)
qotlog(p, shape)
rotlog(n, shape)
x, q |
Vector of quantiles. For the density, it should be a vector
with integer values |
p |
vector of probabilities. |
n |
number of observations.
Same as in |
shape |
The parameter value |
log, log.p |
Logical.
If |
The one-truncated logarithmic distribution is a logarithmic
distribution but with the probability of a one being zero. The
other probabilities are scaled to add to unity.
Some more details are given in logff
.
dotlog
gives the density,
potlog
gives the distribution function,
qotlog
gives the quantile function, and
rotlog
generates random deviates.
Given some response data, the VGAM family function
otlog
estimates the parameter shape
.
Function potlog()
suffers from the problems that
plog
sometimes has.
T. W. Yee
Gaitdlog
,
otlog
,
rlog
,
Oilog
.
dotlog(1:20, 0.5)
rotlog(20, 0.5)
## Not run: shape <- 0.8; x <- 1:10
plot(x, dotlog(x, shape = shape), type = "h", ylim = 0:1,
sub = "shape=0.8", las = 1, col = "blue", ylab = "Probability",
main = "1-truncated logarithmic distn: blue=PMF; orange=CDF")
lines(x+0.1, potlog(x, shape), col = "orange", lty = 3, type = "h")
## End(Not run)
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