Quantile Function
q is a generic function that evaluates the quantile function of a distribution object at given values.
## S3 method for class 'compdist' q(O, p, lower.tail = TRUE, log.p = FALSE, ...) q(O, p, lower.tail = TRUE, log.p = FALSE, ...) ## S3 method for class 'standist' q(O, p, lower.tail = TRUE, log.p = FALSE, ...) ## S3 method for class 'trans_univdist' q(O, p, lower.tail = TRUE, log.p = FALSE, ...)
O |
distribution object. |
p |
vector of probabilities. |
lower.tail |
logical; if TRUE, probabilities are P[X ≤ x] otherwise, P[X > x], default: TRUE. |
log.p |
logical; if TRUE, probabilities p are given as log(p), default: FALSE. |
... |
further arguments to be passed. |
Methods of q function evaluates any offered
distribution from package mistr. The function makes use of the q[sufix] functions
as qnorm or qbeta and thus, if a new distribution is added,
these functions must be reachable through the search path.
Vector of computed results.
N <- normdist(1, 3) q(N, c(NA, 1, 3, 5)) C <- cauchydist() CC <- compdist(N, C, weights = c(0.5, 0.5), breakpoints = 1) CCC <- 2*C+5 q(CCC, c(NA, 1, 3, 5))
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