ChainLadder: plot.dfCorTest – R documentation

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plot.dfCorTest

Plot method for a dfCorTest object

Description

plot.dfCorTest, a method to plot the output of dfCorTest. It is designed to give a quick overview of a dfCorTest object and to check the assumption of independece between development factors.

Usage

## S3 method for class 'dfCorTest'
plot(x, type = "l", xlab = "T", ylab = "Density", 
                          main = "Development Factor Correlation", col.area = "gray",
                          border = NA, ...)

Arguments

`x`	output from `dfCorTest`
`type`	Default: "l". What type of plot should be drawn
`xlab`	Default: "Z". X axis label
`ylab`	Default: "Density". Y axis label
`main`	Default: "Development Factor Correlation". Plot title
`col.area`	Default: "gray". Color of the shaded area.
`border`	Default: NULL, the color to draw the border. Use `border = NA` to omit borders.
`...`	optional arguments. See `plot.default` for more details.

Details

plot.dfCorTest shows the underlying distribution, the test statistic Z and the relative Confidence Interval. If the test statistic Z is within the highlighted region the hypothesis of correlation between development factors could be rejected.

Author(s)

Marco De Virgilis devirgilis.marco@gmail.com

Examples

plot(dfCorTest(RAA))

ChainLadder

Statistical Methods and Models for Claims Reserving in General Insurance

v0.2.12

GPL (>= 2)

Authors

Markus Gesmann [aut, cre], Daniel Murphy [aut], Yanwei (Wayne) Zhang [aut], Alessandro Carrato [aut], Giuseppe Crupi [ctb], Christophe Dutang [ctb], Arnaud Lacoume [ctb], Arthur Charpentier [ctb], Mario Wuthrich [aut], Fabio Concina [aut], Eric Dal Moro [aut], Yuriy Krvavych [ctb], Vincent Goulet [ctb], Marco De Virgilis [ctb]

Initial release

2021-01-05