VGAMdata: otlogUC – R documentation

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otlogUC

One-truncated Logarithmic Distribution

Description

Density, distribution function, quantile function, and random generation for the one-truncated logarithmic distribution.

Usage

dotlog(x, shape, log = FALSE)
potlog(q, shape, log.p = FALSE)
qotlog(p, shape)
rotlog(n, shape)

Arguments

`x, q`	Vector of quantiles. For the density, it should be a vector with integer values > 1 in order for the probabilities to be positive.
`p`	vector of probabilities.
`n`	number of observations. Same as in `runif`.
`shape`	The parameter value c described in in `logff`. Here it is called `shape` because 0<c<1 is the range.
`log, log.p`	Logical. If `log.p = TRUE` then all probabilities `p` are given as `log(p)`.

Details

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.

Value

dotlog gives the density, potlog gives the distribution function, qotlog gives the quantile function, and rotlog generates random deviates.

Note

Given some response data, the VGAM family function otlog estimates the parameter shape. Function potlog() suffers from the problems that plog sometimes has.

Author(s)

T. W. Yee

Examples

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 distribution: blue=PMF; orange=CDF")
lines(x + 0.1, potlog(x, shape = shape), col = "orange", lty = 3, type = "h") 
## End(Not run)

VGAMdata

Data Supporting the 'VGAM' Package

v1.1-5

GPL-2

Authors

Thomas Yee [aut, cre, cph], James Gray [dtc]

Initial release

2021-01-13