quantiles: Calculating quantiles from distribution parameters

In TLMoments: Calculate TL-Moments and Convert Them to Distribution Parameters

Calculating quantiles from distribution parameters

Description

Calculates quantiles from distribution parameters received by parameters or from a named vector.

Usage

quantiles(x, p, distr = attr(x, "distribution"))

Arguments

x	object returned by parameters or a named vector. In the latter you have to specify the distr-argument.
p	numeric vector giving the quantiles to calculate.
distr	character object defining the distribution. Supported types are "gev", "gum" and "gpd". You do not need to set this, if x is from parameters.

Value

numeric vector, matrix, list, or data.frame of the quantiles and with class quantiles. The object contains the following attributes:

• distribution: a character indicating the used distribution

• p: a vector with the calculated quantiles

• source: a list with background information (used function, data, n, formula, trimmings; mainly for internal purposes)

The attributes are hidden in the print-function for a clearer presentation.

See Also

PWMs, TLMoments, parameters, summary.quantiles

Examples

# Generating data sets:
xmat <- matrix(rnorm(100), nc = 4)
xvec <- xmat[, 3]
xlist <- lapply(1L:ncol(xmat), function(i) xmat[, i])
xdat <- data.frame(
 station = rep(letters[1:2], each = 50),
 season = rep(c("S", "W"), 50),
 hq = as.vector(xmat)
)

# Calculating quantiles from parameters-object
tlm <- TLMoments(xvec, leftrim = 0, rightrim = 1)
quantiles(parameters(tlm, "gev"), c(.9, .99))
tlm <- TLMoments(xmat, leftrim = 1, rightrim = 1)
quantiles(parameters(tlm, "gum"), c(.9, .95, .999))
tlm <- TLMoments(xlist)
quantiles(parameters(tlm, "gpd"), .999)
tlm <- TLMoments(xdat, hq ~ station, leftrim = 2, rightrim = 3)
quantiles(parameters(tlm, "gev"), seq(.1, .9, .1))
tlm <- TLMoments(xdat, hq ~ station + season, leftrim = 0, rightrim = 2)
quantiles(parameters(tlm, "gum"), seq(.1, .9, .1))

# Distribution can be overwritten (but parameters have to fit)
tlm <- TLMoments(xvec, leftrim = 0, rightrim = 1)
params <- parameters(tlm, "gev")
quantiles(params, c(.9, .99))
quantiles(params[1:2], c(.9, .99), distr = "gum")
evd::qgumbel(c(.9, .99), loc = params[1], scale = params[2])


# Using magrittr
library(magrittr)
rgev(50, shape = .3) %>%
  TLMoments(leftrim = 0, rightrim = 1) %>%
  parameters("gev") %>%
  quantiles(c(.99, .999))

# Calculating quantiles to given parameters for arbitrary functions
quantiles(c(mean = 10, sd = 3), c(.95, .99), "norm")
qnorm(c(.95, .99), mean = 10, sd = 3)

# These give errors:
#quantiles(c(loc = 10, scale = 5, shape = .3), c(.95, .99), "notexistingdistribution")
#quantiles(c(loc = 10, scale = 5, shpe = .3), c(.95, .99), "gev") # wrong arguments

TLMoments documentation built on March 27, 2022, 5:07 p.m.