diffzetaUC: Differenced Zeta Distribution

In VGAM: Vector Generalized Linear and Additive Models

Differenced Zeta Distribution

Description

Density, distribution function, quantile function, and random generation for the differenced zeta distribution.

Usage

ddiffzeta(x, shape, start = 1, log = FALSE)
pdiffzeta(q, shape, start = 1, lower.tail = TRUE)
qdiffzeta(p, shape, start = 1)
rdiffzeta(n, shape, start = 1)

Arguments

x, q, p, n	Same as in runif.
shape, start	Details at diffzeta.
log, lower.tail	Same as in runif.

Details

This distribution appears to work well on the distribution of English words in such texts. Some more details are given in diffzeta.

Value

ddiffzeta gives the density, pdiffzeta gives the distribution function, qdiffzeta gives the quantile function, and rdiffzeta generates random deviates.

Note

Given some response data, the VGAM family function diffzeta estimates the parameter shape.

Function pdiffzeta() suffers from the problems that plog sometimes has, i.e., when p is very close to 1.

Author(s)

T. W. Yee

See Also

diffzeta, zetaff, zipf, Oizeta.

Examples

ddiffzeta(1:20, 0.5, start = 2)
rdiffzeta(20, 0.5)

## Not run:  shape <- 0.8; x <- 1:10
plot(x, ddiffzeta(x, sh = shape), type = "h", ylim = 0:1, las = 1,
     sub = "shape=0.8", col = "blue", ylab = "Probability",
     main = "Differenced zeta distribution: blue=PMF; orange=CDF")
lines(x + 0.1, pdiffzeta(x, shape = shape), col = "orange",
      lty = 3, type = "h") 
## End(Not run)

VGAM documentation built on Sept. 18, 2024, 9:09 a.m.