Differenced Zeta Distribution
diffzetaUC.RdDensity, 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)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.
Examples
ddiffzeta(1:20, 0.5, start = 2)
#> [1] 0.000000000 0.183503419 0.109389800 0.074651249 0.055105263 0.042827785
#> [7] 0.034522484 0.028595479 0.024190925 0.020812163 0.018153142 0.016016020
#> [13] 0.014267797 0.012816101 0.011594981 0.010556220 0.009663837 0.008890491
#> [19] 0.008215076 0.007621066
rdiffzeta(20, 0.5)
#> [1] 1352 1 2 4 1 1 1 13 1 4 4 1 2 2 271
#> [16] 154 2 2 1 1
if (FALSE) 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")
#> Error in h(simpleError(msg, call)): error in evaluating the argument 'y' in selecting a method for function 'plot': object 'shape' not found
lines(x + 0.1, pdiffzeta(x, shape = shape), col = "orange",
lty = 3, type = "h") # \dontrun{}
#> Error: object 'shape' not found