| quantile.expert {expert} | R Documentation |
Quantile for objects of class "expert".
## S3 method for class 'expert':
quantile(x, probs = seq(0, 1, 0.25),
smooth = FALSE, names = TRUE, ...)
x |
an object of class "expert". |
probs |
numeric vector of probabilities with values in [0, 1). |
smooth |
logical; when TRUE and x is a step
function, quantiles are linearly interpolated between knots. |
names |
logical; if true, the result has a names
attribute. Set to FALSE for speedup with many probs. |
... |
further arguments passed to or from other methods. |
The quantiles are taken directly from the cumulative distribution
function defined in x. Linear interpolation is available for
step functions.
A numeric vector, named if names is TRUE.
x <- list(E1 <- list(A1 <- c(0.14, 0.22, 0.28),
A2 <- c(130000, 150000, 200000),
X <- c(350000, 400000, 525000)),
E2 <- list(A1 <- c(0.2, 0.3, 0.4),
A2 <- c(165000, 205000, 250000),
X <- c(550000, 600000, 650000)),
E3 <- list(A1 <- c(0.2, 0.4, 0.52),
A2 <- c(200000, 400000, 500000),
X <- c(625000, 700000, 800000)))
probs <- c(0.1, 0.5, 0.9)
true.seed <- c(0.27, 210000)
fit <- expert(x, "cooke", probs, true.seed, 0.03)
quantile(fit) # default probs
quantile(fit, probs = c(0.9, 0.95, 0.99)) # right tail