actuar: severity – R documentation

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severity

Manipulation of Individual Claim Amounts

Description

severity is a generic function created to manipulate individual claim amounts. The function invokes particular methods which depend on the class of the first argument.

Usage

severity(x, ...)

## Default S3 method:
severity(x, bycol = FALSE, drop = TRUE, ...)

Arguments

`x`	an R object.
`bycol`	logical; whether to “unroll” horizontally (`FALSE`) or vertically (`TRUE`)
`...`	further arguments to be passed to or from other methods.
`drop`	logical; if `TRUE`, the result is coerced to the lowest possible dimension.

Details

Currently, the default method is equivalent to unroll. This is liable to change since the link between the name and the use of the function is rather weak.

Value

A vector or matrix.

Author(s)

Vincent Goulet vincent.goulet@act.ulaval.ca and Louis-Philippe Pouliot

Examples

x <- list(c(1:3), c(1:8), c(1:4), c(1:3))
(mat <- matrix(x, 2, 2))
severity(mat)
severity(mat, bycol = TRUE)

actuar

Actuarial Functions and Heavy Tailed Distributions

v3.1-2

GPL (>= 2)

Authors

Vincent Goulet [cre, aut], Sébastien Auclair [ctb], Christophe Dutang [aut], Nicholas Langevin [ctb], Xavier Milhaud [ctb], Tommy Ouellet [ctb], Alexandre Parent [ctb], Mathieu Pigeon [aut], Louis-Philippe Pouliot [ctb], Jeffrey A. Ryan [aut] (Package API), Robert Gentleman [aut] (Parts of the R to C interface), Ross Ihaka [aut] (Parts of the R to C interface), R Core Team [aut] (Parts of the R to C interface), R Foundation [aut] (Parts of the R to C interface)

Initial release

2021-03-30